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Zong X, Ding Q, Liu X, Liu Q, Song S, Yan X, Zhang Y. Preventive Effect of 6-shogaol on D-galactosamine Induced Hepatotoxicity Through NF-?B/MAPK Signaling Pathway in Rats. Physiol Res 2023; 72:445-454. [PMID: 37795887 PMCID: PMC10634558 DOI: 10.33549/physiolres.935092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 04/19/2023] [Indexed: 01/05/2024] Open
Abstract
This analysis aims to see whether 6-shogaol could protect rats against D-galactosamine (D-GalN)-induced Hepatotoxicity. The Wistar rats were divided into four groups (n=6). Group 1 received a standard diet, Group 2 received an oral administration of 6-shogaol (20 mg/kg b.wt), Group 3 received an intraperitoneal injection of D-GalN (400 mg/kg b.wt) on 21st day, and Group 4 received an oral administration of 6-shogaol (20mg/kg b.wt) for 21 days and D-GalN (400 mg/kg b.wt) injection only on 21st day. The hepatic marker enzymes activity, lipid peroxidative markers level increased significantly and antioxidant activity/level significantly reduced in D-GalN-induced rats. 6-shogaol Pretreatment effectively improves the above changes in D-GalN-induced rats. Further, inflammatory marker expression and MAPK signaling molecules were downregulated by 6-shogaol. These findings showed that 6-shogaol exerts hepatoprotective effects via the enhanced antioxidant system and attenuated the inflammation and MAPK signaling pathway in D-GalN-induced rats.
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Affiliation(s)
- X Zong
- Department of Clinical Laboratory, Baoding First Central Hospital, Baoding, Hebei province, China.
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Zhu L, Zong X, Shi X, Ouyang X. Association between Intrinsic Capacity and Sarcopenia in Hospitalized Older Patients. J Nutr Health Aging 2023; 27:542-549. [PMID: 37498101 DOI: 10.1007/s12603-023-1946-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/11/2023] [Indexed: 07/28/2023]
Abstract
OBJECTIVES This study aimed to clarify the association between intrinsic capacity (IC) and sarcopenia in hospitalized older patients. DESIGN A cross-sectional study. SETTING Hospital-based. PARTICIPANTS This study included 381 inpatients aged ≥ 60 years (225 men and 156 women). MEASUREMENTS IC was evaluated in five domains defined by the World Health Organization: cognition (Mini-Mental State Examination), locomotion (Short Physical Performance Battery test), vitality (Short-Form Mini Nutritional Assessment), sensory (self-reported hearing and vision) and psychological (5-item Geriatric Depression Scale) capacities. IC composite score (0-5) was calculated based on five domains, with lower scores representing greater IC. Sarcopenia was defined in accordance with the criteria recommended by the Asian Working Group for Sarcopenia (AWGS) 2019. Multiple linear and logistic regressions were performed to explore the associations between IC composite score and IC domains with sarcopenia and its defining components. RESULTS The mean age of 381 patients included was 81.95±8.42 years. Of them, 128 (33.6%) patients had sarcopenia. The median IC composite score was 1 (1, 2). Cognition, locomotion, vitality, sensory and psychological capacities were impaired in 22.6%, 63.5%, 18.9%, 27.3% and 11.3% of patients. Multiple linear regression analyses showed that favorable IC domain scores in cognition, locomotion and vitality were associated with a stronger handgrip strength. A higher vitality score was associated with a greater appendicular skeletal muscle mass index (ASMI), and a higher locomotion score was associated with a greater gait speed. The multiple logistic regression analysis showed that only vitality impairment was associated with sarcopenia. A higher IC composite score was associated with higher risks of sarcopenia, as well as low ASMI, handgrip strength and gait speed. CONCLUSION This study indicated that a more serious impairment of IC was associated with a greater risk of sarcopenia. Vitality was the domain most strongly associated with sarcopenia. IC may be employed to detect and manage sarcopenia.
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Affiliation(s)
- L Zhu
- Xiaojun Ouyang, Department of Geriatrics, Geriatric Hospital of Nanjing Medical University, Nanjing, China, E-mail:
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Zong X. 126P Effects of GnRHa on ovarian function against chemotherapy-induced gonadotoxicity in premenopausal women with breast cancer in China: A prospective randomized controlled trial (EGOFACT). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Shen L, Qian B, Xiao J, Zhu Y, Hussain S, Deng J, Peng G, Zuo Z, Zou L, Yu S, Ma X, Zhong Z, Ren Z, Wang Y, Liu H, Zhou Z, Cai D, Hu Y, Zong X, Cao S. Characterization of serum adiponectin and leptin in healthy perinatal dairy cows or cows with ketosis, and their effectson ketosis involved indices. Pol J Vet Sci 2021; 23:373-381. [PMID: 33006850 DOI: 10.24425/pjvs.2020.134681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
We investigated changes in concentrations of ADP (adiponectin), LEP (leptin), BHBA (beta-hydroxybutyric acid), NEFA (non-esterified fatty acid), Glucose (Glu) and INS (insulin) in serum of healthy perinatal dairy cows and cows with ketosis. Twenty-one healthy cows and seventeen cows with ketosis from a herd of a total 60 Holstein cows (near dry period i.e. 56 days antepartum) were selected. Blood was collected through the tail vein every 7 days, from 56 day antepartum to 56 day postpartum. Serum ADP, LEP, BHBA, NEFA, Glu, and INS concentrations were determined, and ketosis was diagnosed through serum BHBA (≥1.2 mmol/L). We showed the concentration of serum adipokines and energy balancing indices were stable during antepar- tum period. However, ADP concentration increased while LEP decreased, and there were a significant increase in cows with ketosis compared to that of in healthy cows. Serum BHBA and NEFA concentrations increased significantly at first, and then gradually decreased in both healthy cows and cows with ketosis. However, cows with ketosis showed higher concentrations of BHBA and NEFA which restored later. The serum concentration of Glu in both healthy dairy cows and cows with ketosis showed a decreasing trend. INS concentration in healthy cows was decreased while it was increased in cows with ketosis. The results reflect the extent of hypo- glycemia and lipid mobilization postpartum, suggest IR exists in cows with ketosis while serum ADP and LEP might play roles in the development of ketosis.
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Affiliation(s)
- L Shen
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - B Qian
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Xiao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Zhu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - S Hussain
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Deng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - G Peng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zuo
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - L Zou
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - S Yu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Ma
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhong
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Ren
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Wang
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - H Liu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhou
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - D Cai
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Hu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Zong
- Sichuan Agricultural University - Chengdu Campus, Academic Affairs Office, Chengdu, Sichuan, 611130, China
| | - S Cao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
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Hu Y, Huang X, Zong X, Bi Z, Cheng Y, Xiao X, Wang F, Wang Y, Lu Z. Chicory fibre improves reproductive performance of pregnant rats involving in altering intestinal microbiota composition. J Appl Microbiol 2020; 129:1693-1705. [PMID: 32356327 DOI: 10.1111/jam.14679] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 04/20/2020] [Accepted: 04/24/2020] [Indexed: 01/09/2023]
Abstract
AIM Chicory fibre (CF) is rich in fructan, which always functions as a quality dietary fibre source during mammalian pregnancy; however, its effect on reproductive performance remains unclear. METHODS AND RESULTS 40 pregnant SD rats were randomly allotted to receive one of four diets: basal diet (control group), basal diet + 5% CF, basal diet + 10% CF, and basal diet + 15% CF, respectively. We found that CF significantly increased the number born alive and total litter birth weight (P < 0·05), increased the expression of intestinal tight junction proteins, mucins and antimicrobial peptides, accompanied by the increase of villi height and the decrease of crypts depth of pregnant SD rats (P < 0·05). We also observed that CF markedly increased the acetic acid, propanoic acid, butyric acid and total SCFAs concentrations in caecum contents and promoted the expression of SCFAs-related receptors (P < 0·05). Notably, rats fed CF increased the relative abundance of Bacteroidetes (P < 0·001), decreased the relative abundance of Firmicutes and Proteobacteria, while markedly lowered the Firmicutes/ Bacteroidetes ratio (F/B ratio) (P < 0·05). Intriguingly, the number born alive and total litter birth weight were positively correlated with some probiotics and negatively correlated with other harmful bacteria by Pearson correlation analysis. CONCLUSION Collectively, CF can enhance intestinal barrier function and maintain intestinal health, and may improve reproductive performance by altering intestinal microbiota composition. SIGNIFICANCE AND IMPACT OF THE STUDY Adding suitable dietary fibre to the diet can improve the reproductive performance of sows. Indeed, there exist various problems in the application of traditional dietary fibres, including high insoluble fibre content and anti-nutritional factor level, and mycotoxin contamination. This study demonstrates that dietary CF supplementation improves reproductive performance and intestinal health. Thus, CF can be applied in pregnancy animals as a new dietary fibre additive in animal husbandry.
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Affiliation(s)
- Y Hu
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - X Huang
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - X Zong
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - Z Bi
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - Y Cheng
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - X Xiao
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - F Wang
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - Y Wang
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
| | - Z Lu
- National Engineering Laboratory of Bio-Feed Safety and Pollution Prevention, Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture, Institute of Feed Science, Zhejiang University, Hangzhou, China
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Shen L, Zhu Y, Xiao J, Deng J, Peng G, Zuo Z, Yu S, Ma X, Zhong Z, Ren Z, Zhou Z, Liu H, Zong X, Cao S. Relationship of adiponectin, leptin, visfatin and IGF-1 in cow's venous blood and venous cord blood with calf birth weight. Pol J Vet Sci 2020; 22:541-548. [PMID: 31560471 DOI: 10.24425/pjvs.2019.129962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The Intrauterine fetal development process is complicated and affected by many regulating factors such as maternal nutritional status, transcription factors and adipokines. Adipokines are kinds of active substances secreted by adipose tissue, including more than 50 kinds of molecules. To explore the correlation between calf birth weights and adipokines including adiponectin, leptin, visfatin, and IGF-1 in cows venous and venous cord blood. Fifty-four healthy multiparous Chinese Holstein cows were used; in which, cows with a calf weight less than 40 kg were included in group A (n=9); those with a calf weight between 40 kg~45 kg were included in group B (n=25) and ≥45 kg were included in group C (n=20), venous blood and cord venous blood was collected. An ELISA kit was used to evaluate the concentration of adiponectin, leptin, visfatin, and IGF-1, correlations between index-index and index-calf birth weight were analysed. In both cows venous and cord venous blood, adiponectin, leptin, visfatin, and IGF-1 levels were significantly correlated with each other (p⟨0.01), and levels of these adipokines in venous blood were significantly higher than cord venous blood (p⟨0.01). Adiponectin, leptin, visfatin, and IGF-1 in venous cord blood were positively correlated with calf birth weights, and significantly correlated with calf birth weights respectively (p⟨0.01). Our study showed that adiponectin, leptin, and IGF-1 were found in venous blood and cord venous blood, and adiponectin, leptin, and IGF-1 in venous and cord venous blood potentially inter-regulated each other; adiponectin, leptin, and IGF-1 in venous blood were not significantly correlated with calf birth weights, while adiponectin, leptin, visfatin, and IGF-1 in venous cord blood were significantly correlated with calf birth weights, respectively.
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Affiliation(s)
- L Shen
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Y Zhu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Xiao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - J Deng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - G Peng
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zuo
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - S Yu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Ma
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhong
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Ren
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - Z Zhou
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - H Liu
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
| | - X Zong
- Sichuan Agricultural University - Chengdu Campus, Academic Affairs Office, Chengdu, Sichuan, 611130, China
| | - S Cao
- Sichuan Agricultural University - Chengdu Campus, The Key Laboratory of Animal Disease and Human Health of Sichuan Province, The Medical Research Center for Cow Disease Chengdu, Sichuan, 611130, China
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Abstract
INTRODUCTION Tumor microenvironment is known to alter the anticancer drug efficiency. One of the factors that get altered in cancer microenvironment is glucose concentration. Butein, an active principle from plant, known to have anticancer effect against different types of tumor. The objective of the study is to determine the effect of butein on glucose exposed non-small cell lung cancer cells (NSCLCCs). METHODS The current study deals with the effect of butein (6.25-50μM) on NSCLCCs treated with different concentrations (0-40 mM) of glucose. RESULTS AND DISCUSSION Glucose concentration, 0 mM and 40 mM, was found to be lethal at 72 h. Viable cell numbers were statistically increased in 5-mM, 10-mM, and 20-mM glucose-treated cells. Butein at 12.5 µM inhibits (p < 0.05) glucose-induced cell proliferation. Butein inhibits glucose-induced proliferation through DNA damage and oxidative stress. Mitochondrial reactive oxygen species (ROS) level was elevated in 20-mM glucose-treated cells when compared to 5-mM glucose-treated cells, whereas butein treatment further increases glucose-induced mitochondrial ROS. Pharmacological inhibitor of glycolysis, such as 2-deoxy glucose (2-DG), was found to inhibit (p < 0.05) glucose-induced cells proliferation. Furthermore, 2-DG and butein showed synergistic anticancer effect. Butein treatment increases p38 phosphorylation. Inhibition of p38 phosphorylation and antioxidant pretreatment partially revert the glucose-induced cell proliferation. However, inhibition of p38 phosphorylation combined with antioxidant pretreatment completely reverts the anticancer effect of butein. The present study concludes through the evidence that butein could serve as a potential anticancer compound in tumor microenvironment.
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Affiliation(s)
- C Zhang
- 1 Department of Oncology, Affiliated Hospital of Jining Medical University, Jining, China
| | - X Zong
- 2 Department of Gastroenterology, People's Hospital of Jiaxiang, Jiaxiang, China
| | - Y Han
- 3 Department of Ultrasound, Affiliated Hospital of Jining Medical University, Jining, China
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Kachuri L, Saarela O, Bojesen SE, Davey Smith G, Liu G, Landi MT, Caporaso NE, Christiani DC, Johansson M, Panico S, Overvad K, Trichopoulou A, Vineis P, Scelo G, Zaridze D, Wu X, Albanes D, Diergaarde B, Lagiou P, Macfarlane GJ, Aldrich MC, Tardón A, Rennert G, Olshan AF, Weissler MC, Chen C, Goodman GE, Doherty JA, Ness AR, Bickeböller H, Wichmann HE, Risch A, Field JK, Teare MD, Kiemeney LA, van der Heijden EHFM, Carroll JC, Haugen A, Zienolddiny S, Skaug V, Wünsch-Filho V, Tajara EH, Ayoub Moysés R, Daumas Nunes F, Lam S, Eluf-Neto J, Lacko M, Peters WHM, Le Marchand L, Duell EJ, Andrew AS, Franceschi S, Schabath MB, Manjer J, Arnold S, Lazarus P, Mukeriya A, Swiatkowska B, Janout V, Holcatova I, Stojsic J, Mates D, Lissowska J, Boccia S, Lesseur C, Zong X, McKay JD, Brennan P, Amos CI, Hung RJ. Mendelian Randomization and mediation analysis of leukocyte telomere length and risk of lung and head and neck cancers. Int J Epidemiol 2019; 48:751-766. [PMID: 30059977 PMCID: PMC6659464 DOI: 10.1093/ije/dyy140] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2018] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Evidence from observational studies of telomere length (TL) has been conflicting regarding its direction of association with cancer risk. We investigated the causal relevance of TL for lung and head and neck cancers using Mendelian Randomization (MR) and mediation analyses. METHODS We developed a novel genetic instrument for TL in chromosome 5p15.33, using variants identified through deep-sequencing, that were genotyped in 2051 cancer-free subjects. Next, we conducted an MR analysis of lung (16 396 cases, 13 013 controls) and head and neck cancer (4415 cases, 5013 controls) using eight genetic instruments for TL. Lastly, the 5p15.33 instrument and distinct 5p15.33 lung cancer risk loci were evaluated using two-sample mediation analysis, to quantify their direct and indirect, telomere-mediated, effects. RESULTS The multi-allelic 5p15.33 instrument explained 1.49-2.00% of TL variation in our data (p = 2.6 × 10-9). The MR analysis estimated that a 1000 base-pair increase in TL increases risk of lung cancer [odds ratio (OR) = 1.41, 95% confidence interval (CI): 1.20-1.65] and lung adenocarcinoma (OR = 1.92, 95% CI: 1.51-2.22), but not squamous lung carcinoma (OR = 1.04, 95% CI: 0.83-1.29) or head and neck cancers (OR = 0.90, 95% CI: 0.70-1.05). Mediation analysis of the 5p15.33 instrument indicated an absence of direct effects on lung cancer risk (OR = 1.00, 95% CI: 0.95-1.04). Analysis of distinct 5p15.33 susceptibility variants estimated that TL mediates up to 40% of the observed associations with lung cancer risk. CONCLUSIONS Our findings support a causal role for long telomeres in lung cancer aetiology, particularly for adenocarcinoma, and demonstrate that telomere maintenance partially mediates the lung cancer susceptibility conferred by 5p15.33 loci.
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Affiliation(s)
- Linda Kachuri
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Olli Saarela
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Stig Egil Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev Ringvej 75, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - George Davey Smith
- Population Health Science, Bristol Medical School, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Geoffrey Liu
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Ontario Cancer Institute, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David C Christiani
- Departments of Epidemiology and Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Antonia Trichopoulou
- Hellenic Health Foundation, and WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Paolo Vineis
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N.Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Gary J Macfarlane
- The Institute of Applied Health Sciences, School of Medicine, University of Aberdeen, Aberdeen, UK
| | - Melinda C Aldrich
- Department of Thoracic Surgery and Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adonina Tardón
- Faculty of Medicine, University of Oviedo and CIBERESP, Campus del Cristo, Oviedo, Spain
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mark C Weissler
- Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Gary E Goodman
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jennifer A Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Andrew R Ness
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University, Munich, Germany
| | - Angela Risch
- Division of Epigenomics & Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John K Field
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - M Dawn Teare
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Lambertus A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
| | | | - June C Carroll
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Aage Haugen
- The National Institute of Occupational Health, Oslo, Norway
| | | | - Vidar Skaug
- The National Institute of Occupational Health, Oslo, Norway
| | | | - Eloiza H Tajara
- Department of Molecular Biology, School of Medicine of São José do Rio Preto, São José do Rio Preto, Brazil
| | - Raquel Ayoub Moysés
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Disciplina de Cirurgia de Cabeça e Pescoço (LIM28), São Paulo, Brasil
| | - Fabio Daumas Nunes
- Department of Oral Pathology, School of Dentistry, University of São Paulo, São Paulo, Brazil
| | | | - Jose Eluf-Neto
- Departamento de Medicina Preventiva, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Martin Lacko
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wilbert H M Peters
- Department of Gastroenterology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Eric J Duell
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Angeline S Andrew
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | | | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Jonas Manjer
- Skåne University Hospital, Lund University, Lund, Sweden
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Philip Lazarus
- College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Anush Mukeriya
- Department of Epidemiology and Prevention, Russian N.N.Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Beata Swiatkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jelena Stojsic
- Department of Thoracopulmonary Pathology, Service of Pathology, Clinical Center of Serbia, Belgrade, Serbia
| | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Cancer Center Maria Sklodowska-Curie Institute of Oncology, Warsaw, Poland
| | - Stefania Boccia
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italia
- Section of Hygiene, Institute of Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Corina Lesseur
- International Agency for Research on Cancer, Lyon, France
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - James D McKay
- International Agency for Research on Cancer, Lyon, France
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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9
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Affiliation(s)
- X Zong
- Zhejiang university,Hangzhou, China (People’s Republic)
| | - J Zhao
- Zhejiang university,Hangzhou, China (People’s Republic)
| | - H Wang
- Zhejiang university,Hangzhou, China (People’s Republic)
| | - Y Wang
- College of Animal Science, Institution of Animal Nutrition and Feed Science, Zhejiang University,Hangzhou, China (People’s Republic)
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10
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Ferreiro-Iglesias A, Lesseur C, McKay J, Hung RJ, Han Y, Zong X, Christiani D, Johansson M, Xiao X, Li Y, Qian DC, Ji X, Liu G, Caporaso N, Scelo G, Zaridze D, Mukeriya A, Kontic M, Ognjanovic S, Lissowska J, Szołkowska M, Swiatkowska B, Janout V, Holcatova I, Bolca C, Savic M, Ognjanovic M, Bojesen SE, Wu X, Albanes D, Aldrich MC, Tardon A, Fernandez-Somoano A, Fernandez-Tardon G, Le Marchand L, Rennert G, Chen C, Doherty J, Goodman G, Bickeböller H, Wichmann HE, Risch A, Rosenberger A, Shen H, Dai J, Field JK, Davies M, Woll P, Teare MD, Kiemeney LA, van der Heijden EHFM, Yuan JM, Hong YC, Haugen A, Zienolddiny S, Lam S, Tsao MS, Johansson M, Grankvist K, Schabath MB, Andrew A, Duell E, Melander O, Brunnström H, Lazarus P, Arnold S, Slone S, Byun J, Kamal A, Zhu D, Landi MT, Amos CI, Brennan P. Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat Commun 2018; 9:3927. [PMID: 30254314 PMCID: PMC6156406 DOI: 10.1038/s41467-018-05890-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 07/30/2018] [Indexed: 12/19/2022] Open
Abstract
The basis for associations between lung cancer and major histocompatibility complex genes is not completely understood. Here the authors further consider genetic variation within the MHC region in lung cancer patients and identify independent associations within HLA genes that explain MHC lung cancer associations in Europeans and Asian populations. Lung cancer has several genetic associations identified within the major histocompatibility complex (MHC); although the basis for these associations remains elusive. Here, we analyze MHC genetic variation among 26,044 lung cancer patients and 20,836 controls densely genotyped across the MHC, using the Illumina Illumina OncoArray or Illumina 660W SNP microarray. We impute sequence variation in classical HLA genes, fine-map MHC associations for lung cancer risk with major histologies and compare results between ethnicities. Independent and novel associations within HLA genes are identified in Europeans including amino acids in the HLA-B*0801 peptide binding groove and an independent HLA-DQB1*06 loci group. In Asians, associations are driven by two independent HLA allele sets that both increase risk in HLA-DQB1*0401 and HLA-DRB1*0701; the latter better represented by the amino acid Ala-104. These results implicate several HLA–tumor peptide interactions as the major MHC factor modulating lung cancer susceptibility.
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Affiliation(s)
- Aida Ferreiro-Iglesias
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - Corina Lesseur
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - James McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, M5G 1X5, Canada
| | - Younghun Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, M5G 1X5, Canada
| | - David Christiani
- Department of Environmental Health, Harvard TH Chan School of Public Health, Massachusetts General Hospital/ Harvard Medical School, Boston, 02115, MA, USA
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - Xiangjun Xiao
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Yafang Li
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - David C Qian
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Xuemei Ji
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, M5G 1X5, Canada
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892-9768, MD, USA
| | - Ghislaine Scelo
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - David Zaridze
- Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | - Anush Mukeriya
- Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | | | - Simona Ognjanovic
- International Organization for Cancer Prevention and Research, Belgrade, 11070, Serbia
| | - Jolanta Lissowska
- M. Sklodowska-Curie Cancer Center, Institute of Oncology, Warsaw, 02-034, Poland
| | - Małgorzata Szołkowska
- Department of Pathology, National Tuberculosis and Lung Diseases Research Institute, Warsaw, 01-138, Poland
| | - Beata Swiatkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, 91-348, Poland
| | - Vladimir Janout
- Faculty of Medicine, University of Olomouc, Olomouc, 701 03, Czech Republic
| | - Ivana Holcatova
- 2nd Faculty of Medicine, Institute of Public Health and Preventive Medicine, Charles University, Prague, CZ 128 00, Czech Republic
| | - Ciprian Bolca
- Institute of Pneumology "Marius Nasta", Bucharest, RO-050159, Romania
| | - Milan Savic
- Department of Thoracic Surgery Clinical Center of Serbia Belgrade, Belgrade, 11000, Serbia
| | - Miodrag Ognjanovic
- International Organization for Cancer Prevention and Research, Belgrade, 11070, Serbia
| | - Stig Egil Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, 2730, Denmark.,Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2730, Denmark
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892-9768, MD, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, 37232-4682, TA, USA
| | - Adonina Tardon
- University of Oviedo and CIBERESP, Faculty of Medicine, Oviedo, 33006, Spain
| | | | | | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, 96813, HI, USA
| | - Gadi Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, 3525433, Israel
| | - Chu Chen
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, 98195, WA, USA
| | - Jennifer Doherty
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, 98195, WA, USA.,Fred Hutchinson Cancer Research Center, Seattle, 98109, WA, USA
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig Maximilians University, Munich, D-85764, Germany.,Helmholtz Center Munich, Institute of Epidemiology 2, Munich, D-85764, Germany.,Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, D-80333, Germany
| | - Angela Risch
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, 5020, Austria.,Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, 69120, Germany.,German Center for Lung Research (DZL), Heidelberg, 69121, Germany
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Jiangsu Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - John K Field
- Institute of Translational Medicine, University of Liverpool, Liverpool, L3 9TA, UK
| | - Michael Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool, L3 9TA, UK
| | - Penella Woll
- Department of Oncology, University of Sheffield, Sheffield, S10 2RX, UK
| | - M Dawn Teare
- School of Health and Related Research, University Of Sheffield, England, S1 4DA, UK
| | | | | | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, 15232, PA, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, 110-799, Republic of Korea
| | - Aage Haugen
- National Institute of Occupational Health, Oslo, N-0033, Norway
| | | | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, V5Z 1M9, Canada
| | - Ming-Sound Tsao
- Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umeå, 901 85, Sweden
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, 901 85, Sweden
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612, FL, USA
| | - Angeline Andrew
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Eric Duell
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, 08908, Spain
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Malmö, 221 00, Sweden.,Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Hans Brunnström
- Laboratory Medicine Region Skåne, Department of Clinical Sciences Lund, Pathology, Lund University, Lund, 221 00, Sweden
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, 99202, WA, USA
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, 40536-0098, KY, USA
| | - Stacey Slone
- University of Kentucky, Markey Cancer Center, Lexington, 40536-0098, KY, USA
| | - Jinyoung Byun
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Ahsan Kamal
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Dakai Zhu
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892-9768, MD, USA
| | - Christopher I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France.
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11
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Ji X, Bossé Y, Landi MT, Gui J, Xiao X, Qian D, Joubert P, Lamontagne M, Li Y, Gorlov I, de Biasi M, Han Y, Gorlova O, Hung RJ, Wu X, McKay J, Zong X, Carreras-Torres R, Christiani DC, Caporaso N, Johansson M, Liu G, Bojesen SE, Le Marchand L, Albanes D, Bickeböller H, Aldrich MC, Bush WS, Tardon A, Rennert G, Chen C, Teare MD, Field JK, Kiemeney LA, Lazarus P, Haugen A, Lam S, Schabath MB, Andrew AS, Shen H, Hong YC, Yuan JM, Bertazzi PA, Pesatori AC, Ye Y, Diao N, Su L, Zhang R, Brhane Y, Leighl N, Johansen JS, Mellemgaard A, Saliba W, Haiman C, Wilkens L, Fernandez-Somoano A, Fernandez-Tardon G, van der Heijden EHFM, Kim JH, Dai J, Hu Z, Davies MPA, Marcus MW, Brunnström H, Manjer J, Melander O, Muller DC, Overvad K, Trichopoulou A, Tumino R, Doherty J, Goodman GE, Cox A, Taylor F, Woll P, Brüske I, Manz J, Muley T, Risch A, Rosenberger A, Grankvist K, Johansson M, Shepherd F, Tsao MS, Arnold SM, Haura EB, Bolca C, Holcatova I, Janout V, Kontic M, Lissowska J, Mukeria A, Ognjanovic S, Orlowski TM, Scelo G, Swiatkowska B, Zaridze D, Bakke P, Skaug V, Zienolddiny S, Duell EJ, Butler LM, Koh WP, Gao YT, Houlston R, McLaughlin J, Stevens V, Nickle DC, Obeidat M, Timens W, Zhu B, Song L, Artigas MS, Tobin MD, Wain LV, Gu F, Byun J, Kamal A, Zhu D, Tyndale RF, Wei WQ, Chanock S, Brennan P, Amos CI. Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 2018; 9:3221. [PMID: 30104567 PMCID: PMC6089967 DOI: 10.1038/s41467-018-05074-y] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 05/01/2018] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWAS) identified the chromosome 15q25.1 locus as a leading susceptibility region for lung cancer. However, the pathogenic pathways, through which susceptibility SNPs within chromosome 15q25.1 affects lung cancer risk, have not been explored. We analyzed three cohorts with GWAS data consisting 42,901 individuals and lung expression quantitative trait loci (eQTL) data on 409 individuals to identify and validate the underlying pathways and to investigate the combined effect of genes from the identified susceptibility pathways. The KEGG neuroactive ligand receptor interaction pathway, two Reactome pathways, and 22 Gene Ontology terms were identified and replicated to be significantly associated with lung cancer risk, with P values less than 0.05 and FDR less than 0.1. Functional annotation of eQTL analysis results showed that the neuroactive ligand receptor interaction pathway and gated channel activity were involved in lung cancer risk. These pathways provide important insights for the etiology of lung cancer.
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Grants
- P30 CA023108 NCI NIH HHS
- P30 CA076292 NCI NIH HHS
- U01 CA063464 NCI NIH HHS
- P50 CA070907 NCI NIH HHS
- R01 CA111703 NCI NIH HHS
- UM1 CA182876 NCI NIH HHS
- UL1 TR000117 NCATS NIH HHS
- P20 CA090578 NCI NIH HHS
- U19 CA148127 NCI NIH HHS
- P20 GM103534 NIGMS NIH HHS
- UL1 TR000445 NCATS NIH HHS
- R01 LM012012 NLM NIH HHS
- R01 CA092824 NCI NIH HHS
- R35 CA197449 NCI NIH HHS
- UM1 CA164973 NCI NIH HHS
- U01 CA167462 NCI NIH HHS
- U19 CA203654 NCI NIH HHS
- R01 CA144034 NCI NIH HHS
- P20 RR018787 NCRR NIH HHS
- S10 RR025141 NCRR NIH HHS
- R01 CA074386 NCI NIH HHS
- R01 CA176568 NCI NIH HHS
- K07 CA172294 NCI NIH HHS
- P50 CA119997 NCI NIH HHS
- G0902313 Medical Research Council
- R01 CA063464 NCI NIH HHS
- P01 CA033619 NCI NIH HHS
- R01 HL133786 NHLBI NIH HHS
- P30 CA177558 NCI NIH HHS
- P50 CA090578 NCI NIH HHS
- U01 HG004798 NHGRI NIH HHS
- R01 CA151989 NCI NIH HHS
- 001 World Health Organization
- 202849/Z/16/Z Wellcome Trust
- UM1 CA167462 NCI NIH HHS
- U01 CA164973 NCI NIH HHS
- This work was supported by National Institutes of Health (NIH) for the research of lung cancer (grant P30CA023108, P20GM103534 and R01LM012012); Trandisciplinary Research in Cancer of the Lung (TRICL) (grant U19CA148127); UICC American Cancer Society Beginning Investigators Fellowship funded by the Union for International Cancer Control (UICC) (to X.Ji). CAPUA study. This work was supported by FIS-FEDER/Spain grant numbers FIS-01/310, FIS-PI03-0365, and FIS-07-BI060604, FICYT/Asturias grant numbers FICYT PB02-67 and FICYT IB09-133, and the University Institute of Oncology (IUOPA), of the University of Oviedo and the Ciber de Epidemiologia y Salud Pública. CIBERESP, SPAIN. The work performed in the CARET study was supported by the The National Institute of Health / National Cancer Institute: UM1 CA167462 (PI: Goodman), National Institute of Health UO1-CA6367307 (PIs Omen, Goodman); National Institute of Health R01 CA111703 (PI Chen), National Institute of Health 5R01 CA151989-01A1(PI Doherty). The Liverpool Lung project is supported by the Roy Castle Lung Cancer Foundation. The Harvard Lung Cancer Study was supported by the NIH (National Cancer Institute) grants CA092824, CA090578, CA074386 The Multiethnic Cohort Study was partially supported by NIH Grants CA164973, CA033619, CA63464 and CA148127 The work performed in MSH-PMH study was supported by The Canadian Cancer Society Research Institute (020214), Ontario Institute of Cancer and Cancer Care Ontario Chair Award to R.J.H. and G.L. and the Alan Brown Chair and Lusi Wong Programs at the Princess Margaret Hospital Foundation. NJLCS was funded by the State Key Program of National Natural Science of China (81230067), the National Key Basic Research Program Grant (2011CB503805), the Major Program of the National Natural Science Foundation of China (81390543). Norway study was supported by Norwegian Cancer Society, Norwegian Research Council The Shanghai Cohort Study (SCS) was supported by National Institutes of Health R01 CA144034 (PI: Yuan) and UM1 CA182876 (PI: Yuan). The Singapore Chinese Health Study (SCHS) was supported by National Institutes of Health R01 CA144034 (PI: Yuan) and UM1 CA182876 (PI: Yuan). The work in TLC study has been supported in part the James & Esther King Biomedical Research Program (09KN-15), National Institutes of Health Specialized Programs of Research Excellence (SPORE) Grant (P50 CA119997), and by a Cancer Center Support Grant (CCSG) at the H. Lee Moffitt Cancer Center and Research Institute, an NCI designated Comprehensive Cancer Center (grant number P30-CA76292) The Vanderbilt Lung Cancer Study – BioVU dataset used for the analyses described was obtained from Vanderbilt University Medical Center’s BioVU, which is supported by institutional funding, the 1S10RR025141-01 instrumentation award, and by the Vanderbilt CTSA grant UL1TR000445 from NCATS/NIH. Dr. Aldrich was supported by NIH/National Cancer Institute K07CA172294 (PI: Aldrich) and Dr. Bush was supported by NHGRI/NIH U01HG004798 (PI: Crawford). The Copenhagen General Population Study (CGPS) was supported by the Chief Physician Johan Boserup and Lise Boserup Fund, the Danish Medical Research Council and Herlev Hospital. The NELCS study: Grant Number P20RR018787 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH). The MDACC study was supported in part by grants from the NIH (P50 CA070907, R01 CA176568) (to X. Wu), Cancer Prevention & Research Institute of Texas (RP130502) (to X. Wu), and The University of Texas MD Anderson Cancer Center institutional support for the Center for Translational and Public Health Genomics. The study in Lodz center was partially funded by Nofer Institute of Occupational Medicine, under task NIOM 10.13: Predictors of mortality from non-small cell lung cancer - field study. Kentucky Lung Cancer Research Initiative was supported by the Department of Defense [Congressionally Directed Medical Research Program, U.S. Army Medical Research and Materiel Command Program] under award number: 10153006 (W81XWH-11-1-0781). Views and opinions of, and endorsements by the author(s) do not reflect those of the US Army or the Department of Defense. This research was also supported by unrestricted infrastructure funds from the UK Center for Clinical and Translational Science, NIH grant UL1TR000117 and Markey Cancer Center NCI Cancer Center Support Grant (P30 CA177558) Shared Resource Facilities: Cancer Research Informatics, Biospecimen and Tissue Procurement, and Biostatistics and Bioinformatics. The Resource for the Study of Lung Cancer Epidemiology in North Trent (ReSoLuCENT) study was funded by the Sheffield Hospitals Charity, Sheffield Experimental Cancer Medicine Centre and Weston Park Hospital Cancer Charity. FT was supported by a clinical PhD fellowship funded by the Yorkshire Cancer Research/Cancer Research UK Sheffield Cancer Centre. The authors would like to thank the staff at the Respiratory Health Network Tissue Bank of the FRQS for their valuable assistance with the lung eQTL dataset at Laval University. The lung eQTL study at Laval University was supported by the Fondation de l’Institut universitaire de cardiologie et de pneumologie de Québec, the Respiratory Health Network of the FRQS, the Canadian Institutes of Health Research (MOP - 123369). Y.B. holds a Canada Research Chair in Genomics of Heart and Lung Diseases. The research undertaken by M.D.T., L.V.W. and M.S.A. was partly funded by the National Institute for Health Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. M.D.T. holds a Medical Research Council Senior Clinical Fellowship (G0902313).
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Affiliation(s)
- Xuemei Ji
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Yohan Bossé
- Department of Molecular Medicine, Laval University, Québec, G1V 4G5, Canada
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, G1V 4G5, Canada
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Jiang Gui
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Xiangjun Xiao
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - David Qian
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Philippe Joubert
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, G1V 4G5, Canada
| | - Maxime Lamontagne
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, G1V 4G5, Canada
| | - Yafang Li
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Ivan Gorlov
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Mariella de Biasi
- Annenberg School of Communication, University of Pennsylvania, Philadelphia, 19104, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA
| | - Younghun Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Olga Gorlova
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - James McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Robert Carreras-Torres
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - David C Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, 02115, MA, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Herlev 2730, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200 København N, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Ringvej 75, Copenhagen, Herlev 2730, Denmark
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, 96813, HI, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, 37203, TN, USA
| | - William S Bush
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, 37203, TN, USA
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, 44106, OH, USA
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo, Oviedo, 33006, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Campus del Cristo s/n, Oviedo, 33006, Spain
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center, Haifa, 34361, Israel
- Faculty of Medicine, Technion, Haifa, 34361, Israel
| | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, 98109, WA, USA
| | - M Dawn Teare
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Lambertus A Kiemeney
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, 6525 EZ, The Netherlands
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, 99210-1495, WA, USA
| | - Aage Haugen
- National Institute of Occupational Health, 0033, Gydas vei 8, 0033, Oslo, Norway
| | - Stephen Lam
- British Columbia Cancer Agency, 675 West 10th Avenue, Vancouver, V5Z1L3, Canada
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612, FL, USA
| | - Angeline S Andrew
- Department of Epidemiology, Geisel School of Medicine, 1 Medical Center Drive, Hanover, 03755, NH, USA
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, 1 Gwanak-ro, Gwanak-gu, Seoul, 151 742, Republic of Korea
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, 15232, PA, USA
| | - Pier A Bertazzi
- Department of Preventive Medicine, IRCCS Foundation Ca'Granda Ospedale Maggiore Policlinico, Milan, 20133, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, 20133, Italy
| | - Angela C Pesatori
- Department of Preventive Medicine, IRCCS Foundation Ca'Granda Ospedale Maggiore Policlinico, Milan, 20133, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, 20133, Italy
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - Nancy Diao
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
| | - Li Su
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
| | - Ruyang Zhang
- Department of Environmental Health, Harvard School of Public Health, Boston, 02115, MA, USA
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Yonathan Brhane
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, M5T 3L9, Canada
| | - Natasha Leighl
- University Health Network-The Princess Margaret Cancer Centre, 600 University Avenue, Toronto, M5G 2C4, Canada
| | - Jakob S Johansen
- Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark
| | - Anders Mellemgaard
- Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark
| | - Walid Saliba
- Clalit National Cancer Control Center, Carmel Medical Center, Haifa, 34361, Israel
- Faculty of Medicine, Technion, Haifa, 34361, Israel
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, 90033, CA, USA
| | - Lynne Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, 96813, HI, USA
| | - Ana Fernandez-Somoano
- Faculty of Medicine, University of Oviedo, Oviedo, 33006, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Campus del Cristo s/n, Oviedo, 33006, Spain
| | - Guillermo Fernandez-Tardon
- Faculty of Medicine, University of Oviedo, Oviedo, 33006, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Campus del Cristo s/n, Oviedo, 33006, Spain
| | - Erik H F M van der Heijden
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, 6525 EZ, The Netherlands
| | - Jin Hee Kim
- Department of Integrative Bioscience & Biotechnology, Sejong University, Gwangjin-gu, Seoul, 05029, Republic of Korea
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, 101 Longmian Ave, Nanjing, 211166, PR China
| | - Michael P A Davies
- Roy Castle Lung Cancer Research Programme, Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Michael W Marcus
- Roy Castle Lung Cancer Research Programme, Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Hans Brunnström
- Department of Pathology, Lund University, Lund, 222 41, Sweden
| | - Jonas Manjer
- Faculty of Medicine, Lund University, Lund, 22100, Sweden
| | - Olle Melander
- Faculty of Medicine, Lund University, Lund, 22100, Sweden
| | - David C Muller
- School of Public Health, St Mary's Campus, Imperial College London, London, W2 1PG, UK
| | - Kim Overvad
- Faculty of Medicine, Lund University, Lund, 22100, Sweden
| | | | - Rosario Tumino
- Cancer Registry and Histopathology Department, "Civic-M.P. Arezzo" Hospital, ASP, Ragusa, 97100, Italy
| | - Jennifer Doherty
- Department of Epidemiology, Geisel School of Medicine, 1 Medical Center Drive, Hanover, 03755, NH, USA
- Fred Hutchinson Cancer Research Center, Seattle, 98109-1024, WA, USA
| | - Gary E Goodman
- Fred Hutchinson Cancer Research Center, Seattle, 98109-1024, WA, USA
- Swedish Medical Group, Arnold Pavilion, Suite 200, Seattle, 98104, WA, USA
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, S10 2RX, UK
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, S10 2RX, UK
| | - Penella Woll
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, S10 2RX, UK
| | - Irene Brüske
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Germany
| | - Judith Manz
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Germany
| | - Thomas Muley
- Thoraxklinik at University Hospital Heidelberg, Heidelberg, 69126, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, 69120, Germany
| | - Angela Risch
- Cancer Cluster Salzburg, University of Salzburg, Salzburg, 5020, Austria
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, 901 85, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umeå, 901 85, Sweden
| | | | | | - Susanne M Arnold
- Markey Cancer Center, University of Kentucky, First Floor, 800 Rose Street, Lexington, 40508, KY, USA
| | - Eric B Haura
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612, KY, USA
| | - Ciprian Bolca
- Institute of Pneumology "Marius Nasta", Bucharest, RO-050159, Romania
| | - Ivana Holcatova
- 1st Faculty of Medicine, Charles University, Kateřinská 32, Prague, 121 08 Praha 2, Czech Republic
| | - Vladimir Janout
- 1st Faculty of Medicine, Charles University, Kateřinská 32, Prague, 121 08 Praha 2, Czech Republic
| | - Milica Kontic
- Clinical Center of Serbia, Clinic for Pulmonology, School of Medicine, University of Belgrade, Belgrade, 11000, Serbia
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Institute-Oncology Center, Warsaw, 02-781, Poland
| | - Anush Mukeria
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | - Simona Ognjanovic
- International Organization for Cancer Prevention and Research, Belgrade, 11070, Serbia
| | - Tadeusz M Orlowski
- Department of Surgery, National Tuberculosis and Lung Diseases Research Institute, Warsaw, PL-01-138, Poland
| | - Ghislaine Scelo
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Beata Swiatkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, 91-348, Poland
| | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, 5021, Norway
| | - Vidar Skaug
- National Institute of Occupational Health, 0033, Gydas vei 8, 0033, Oslo, Norway
| | - Shanbeh Zienolddiny
- National Institute of Occupational Health, 0033, Gydas vei 8, 0033, Oslo, Norway
| | - Eric J Duell
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, 08908, Spain
| | - Lesley M Butler
- University of Pittsburgh Cancer Institute, Pittsburgh, 15232, PA, USA
| | - Woon-Puay Koh
- Duke-NUS Medical School, Singapore, 119077, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, 2200, China
| | | | | | | | - David C Nickle
- Department of Genetics and Pharmacogenomics, Merck Research Laboratories, Boston, 02115-5727, MA, USA
| | - Ma'en Obeidat
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, V6Z 1Y6, BC, Canada
| | - Wim Timens
- Department of Pathology and Medical Biology, GRIAC, University of Groningen, University Medical Center Groningen, Groningen, NL - 9713 GZ, The Netherlands
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - María Soler Artigas
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- Leicester Respiratory Biomedical Research Unit, National Institute for Health Research (NIHR), Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- Leicester Respiratory Biomedical Research Unit, National Institute for Health Research (NIHR), Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
- Leicester Respiratory Biomedical Research Unit, National Institute for Health Research (NIHR), Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Fangyi Gu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Jinyoung Byun
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Ahsan Kamal
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Dakai Zhu
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA
| | - Rachel F Tyndale
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, M5S 1A8, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, M5T 1R8, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, M6J 1H4, ON, Canada
| | - Wei-Qi Wei
- Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, 37235, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 CEDEX 08, France
| | - Christopher I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03750, NH, USA.
- The Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, 77030, TX, USA.
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12
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Lohavanichbutr P, Sakoda LC, Amos CI, Arnold SM, Christiani DC, Davies MPA, Field JK, Haura EB, Hung RJ, Kohno T, Landi MT, Liu G, Liu Y, Marcus MW, O'Kane GM, Schabath MB, Shiraishi K, Slone SA, Tardón A, Yang P, Yoshida K, Zhang R, Zong X, Goodman GE, Weiss NS, Chen C. Common TDP1 Polymorphisms in Relation to Survival among Small Cell Lung Cancer Patients: A Multicenter Study from the International Lung Cancer Consortium. Clin Cancer Res 2017; 23:7550-7557. [PMID: 28974547 DOI: 10.1158/1078-0432.ccr-17-1401] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 07/12/2017] [Accepted: 09/28/2017] [Indexed: 11/16/2022]
Abstract
Purpose: DNA topoisomerase inhibitors are commonly used for treating small-cell lung cancer (SCLC). Tyrosyl-DNA phosphodiesterase (TDP1) repairs DNA damage caused by this class of drugs and may therefore influence treatment outcome. In this study, we investigated whether common TDP1 single-nucleotide polymorphisms (SNP) are associated with overall survival among SCLC patients.Experimental Design: Two TDP1 SNPs (rs942190 and rs2401863) were analyzed in 890 patients from 10 studies in the International Lung Cancer Consortium (ILCCO). The Kaplan-Meier method and Cox regression analyses were used to evaluate genotype associations with overall mortality at 36 months postdiagnosis, adjusting for age, sex, race, and tumor stage.Results: Patients homozygous for the minor allele (GG) of rs942190 had poorer survival compared with those carrying AA alleles, with a HR of 1.36 [95% confidence interval (CI): 1.08-1.72, P = 0.01), but no association with survival was observed for patients carrying the AG genotype (HR = 1.04, 95% CI, 0.84-1.29, P = 0.72). For rs2401863, patients homozygous for the minor allele (CC) tended to have better survival than patients carrying AA alleles (HR = 0.79; 95% CI, 0.61-1.02, P = 0.07). Results from the Genotype Tissue Expression (GTEx) Project, the Encyclopedia of DNA Elements (ENCODE), and the ePOSSUM web application support the potential function of rs942190.Conclusions: We found the rs942190 GG genotype to be associated with relatively poor survival among SCLC patients. Further investigation is needed to confirm the result and to determine whether this genotype may be a predictive marker for treatment efficacy of DNA topoisomerase inhibitors. Clin Cancer Res; 23(24); 7550-7. ©2017 AACR.
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Affiliation(s)
- Pawadee Lohavanichbutr
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Lori C Sakoda
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Christopher I Amos
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Susanne M Arnold
- Division of Medical Oncology, University of Kentucky Markey Cancer Center, Lexington, Kentucky
| | - David C Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | - Michael P A Davies
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Eric B Haura
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Geoffrey Liu
- Department of Medical Oncology, Princess Margaret Cancer Center and University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Yi Liu
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Michael W Marcus
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Grainne M O'Kane
- Department of Medical Oncology, Princess Margaret Cancer Center and University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Stacey A Slone
- Biostatistics and Bioinformatics Shared Resource Facility, University of Kentucky Markey Cancer Center, Lexington, Kentucky
| | - Adonina Tardón
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,University Institute of Oncology, University of Oviedo, Oviedo, Asturias, Spain
| | - Ping Yang
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Kazushi Yoshida
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Ruyang Zhang
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Gary E Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Noel S Weiss
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington. .,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington.,Department of Otolaryngology: Head and Neck Surgery, School of Medicine, University of Washington, Seattle, Washington
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13
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Wang T, Moon JY, Wu Y, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, van der Heijden EHFM, Duell E, Rennert G, Goodman G, Liu G, Mckay JD, Yuan JM, Field JK, Manjer J, Grankvist K, Kiemeney LA, Marchand LL, Teare MD, Schabath MB, Johansson M, Aldrich MC, Davies M, Johansson M, Tsao MS, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Wu X, Zong X, Hong YC, Ho GYF. Pleiotropy of genetic variants on obesity and smoking phenotypes: Results from the Oncoarray Project of The International Lung Cancer Consortium. PLoS One 2017; 12:e0185660. [PMID: 28957450 PMCID: PMC5619832 DOI: 10.1371/journal.pone.0185660] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 09/16/2017] [Indexed: 12/28/2022] Open
Abstract
Obesity and cigarette smoking are correlated through complex relationships. Common genetic causes may contribute to these correlations. In this study, we selected 241 loci potentially associated with body mass index (BMI) based on the Genetic Investigation of ANthropometric Traits (GIANT) consortium data and calculated a BMI genetic risk score (BMI-GRS) for 17,037 individuals of European descent from the Oncoarray Project of the International Lung Cancer Consortium (ILCCO). Smokers had a significantly higher BMI-GRS than never-smokers (p = 0.016 and 0.010 before and after adjustment for BMI, respectively). The BMI-GRS was also positively correlated with pack-years of smoking (p<0.001) in smokers. Based on causal network inference analyses, seven and five of 241 SNPs were classified to pleiotropic models for BMI/smoking status and BMI/pack-years, respectively. Among them, three and four SNPs associated with smoking status and pack-years (p<0.05), respectively, were followed up in the ever-smoking data of the Tobacco, Alcohol and Genetics (TAG) consortium. Among these seven candidate SNPs, one SNP (rs11030104, BDNF) achieved statistical significance after Bonferroni correction for multiple testing, and three suggestive SNPs (rs13021737, TMEM18; rs11583200, ELAVL4; and rs6990042, SGCZ) achieved a nominal statistical significance. Our results suggest that there is a common genetic component between BMI and smoking, and pleiotropy analysis can be useful to identify novel genetic loci of complex phenotypes.
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Affiliation(s)
- Tao Wang
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Jee-Young Moon
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Yiqun Wu
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
- Department of Epidemiology & Biostatistics, School of public health, Peking University Health Science Center, Beijing, China
| | - Christopher I. Amos
- Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, United States of America
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | - Angeline Andrew
- Norris Cotton Cancer Center, Hanover, New Hampshire, United States of America
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - David C. Christiani
- Harvard School of Public Health, Boston, Massachusetts, United States of America
| | | | | | - Eric Duell
- Catalan Institute of Oncology (ICO), Barcelona, Spain
| | | | - Gary Goodman
- Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - James D. Mckay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, United States of America
| | - John K. Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular & Clinical Cancer Medicine, The University of Liverpool, Liverpool, UK
| | - Jonas Manjer
- Department of surgery, Unit for breast surgery, Lund University, Malmö, Skåne University Hospital Malmö, Malmö, Sweden
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Loic Le Marchand
- University of Hawaii Cancer Center, Honolulu, Hawai'I, United States of America
| | - M. Dawn Teare
- University Of Sheffield, Sheffield, South Yorkshire, United Kingdom
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America
| | | | - Melinda C. Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Michael Davies
- Roy Castle Lung Cancer Research Programme, Department of Molecular & Clinical Cancer Medicine, The University of Liverpool, Liverpool, UK
| | - Mikael Johansson
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Neil Caporaso
- National Cancer Institute, Bethesda, United States of America
| | - Philip Lazarus
- Washington State University College of Pharmacy, Washington, United States of America
| | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Susanne Arnold
- Markey Cancer Center, Lexington, Kentucky, United States of America
| | - Xifeng Wu
- The University of Texas MD Anderson Cancer Center, Texas, Houston, United States of America
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Gloria Y. F. Ho
- Merinoff Center for Patient-Oriented Research, The Feinstein Institute for Medical Research, New York, United States of America
- Epidemiology and Research, Northwell Health, New York, United States of America
- Hofstra Northwell School of Medicine, New York, United States of America
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14
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Zong X, Pole JD, Grundy PE, Mahmud SM, Parker L, Hung RJ. Second malignant neoplasms after childhood non-central nervous system embryonal tumours in North America: A population-based study. Eur J Cancer 2017; 84:173-183. [PMID: 28822326 DOI: 10.1016/j.ejca.2017.06.035] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 06/23/2017] [Accepted: 06/27/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Few studies in North America have quantified the risks of second malignant neoplasms (SMNs) among survivors of childhood non-central nervous system (non-CNS) embryonal tumours due to their rarity. We aimed to investigate these risks by combining population-based data from the United States of America and Canada. METHODS We evaluated patients with childhood non-CNS embryonal tumours reported to the Surveillance Epidemiology and End Results program and eight Canadian cancer registries from 1969 to 2010. Standardised incidence ratio (SIR) and cumulative incidence of SMNs were calculated. Subgroup analyses were conducted by the type of first primary cancer, age at first primary diagnosis and follow-up duration. FINDINGS Of the 13,107 survivors, 190 SMNs were reported over 134,548 person-years of follow-up. The SIR for all SMNs combined was 6.4 (95% confidence interval [CI]: 5.5-7.4). Most site-specific SIRs were significantly increased, ranging from 36 (95% CI: 26-49) for bone and joint cancer to 3.1 (95% CI: 1.5-5.2) for brain tumour. The risk for second malignancies declined as the time elapsed from the first primary diagnosis and was less prominent for patients first diagnosed at age 1-4 years. Notably, rhabdomyosarcoma survivors had a higher risk for SMNs than those with other first primaries. The overall cumulative incidence of SMNs was 1.0% at 10 years, increasing to 2.2% at 20 years and 4.1% at 30 years. INTERPRETATION Survivors with childhood non-CNS embryonal tumours faced an increased risk for SMNs compared to the general population. The risk variations observed in different patient categories may help target prevention strategies in high-risk subgroups.
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Affiliation(s)
- Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, M5T 3L9, Canada
| | - Jason D Pole
- Pediatric Oncology Group of Ontario (POGO), Toronto, ON, M5G 1V2, Canada
| | - Paul E Grundy
- University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Salaheddin M Mahmud
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, R3E 0W3, Canada
| | | | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, M5T 3L9, Canada.
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15
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Lohavanichbutr P, Sakoda LC, Amos CI, Arnold SM, Christiani DC, Davies MP, Field JK, Haura EB, Hung RJ, Kohno T, Landi MT, Liu G, Liu Y, Marcus MW, O'Kane GM, Schabath MB, Shiraishi K, Slone SA, Tardón A, Yang P, Yoshida K, Zhang R, Zong X, Weiss NS, Chen C. Abstract 2248: Common TDP1 polymorphisms in relation to survival among small cell lung cancer patients in a multicenter study from the International Lung Cancer Consortium. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-2248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: DNA topoisomerase inhibitors (e.g. etoposide, irinotecan, teniposide, topotecan) are commonly used for treating small cell lung cancer (SCLC). Tyrosyl-DNA phosphodiesterase (TDP1) plays a role in repairing DNA damage caused by DNA topoisomerase inhibitors and it is believed to be responsible for resistance to this class of drugs. The purpose of this study was to determine whether common TDP1 polymorphisms are associated with overall survival among SCLC patients.
Method: Two common TDP1 SNPs (rs942190 and rs2401863, r2(European)=0.63 and r2(East Asian)=0.26) were analyzed in 898 patients from 10 studies in the International Lung Cancer Consortium, conducted in the U.S., Canada, Japan, Italy, Spain and the United Kingdom. Genotype data were obtained from either the OncoArray Consortium or other existing genome-wide association studies. Cox proportional hazard regression models with robust standard error were used to evaluate genotype associations for overall survival at 36 months post-diagnosis, adjusting for age, sex, race and tumor stage.
Results: Patients homozygous for the minor allele (GG) of TDP1 SNP rs942190 were associated with poorer survival compared to those carrying both major alleles (AA), with a hazard ratio (HR) of 1.36 (95% confidence interval (CI): 1.07-1.72, p-value=0.01), but there was no association with survival for patients with the heterozygous genotype (HR=1.02, 95% CI: 0.83-1.27, p-value=0.83). For rs2401863, patients carrying both minor alleles (CC) tended to have better survival than patients carrying AA alleles, but this was within the limits of chance given no significant association (HR=0.79, 95% CI: 0.61-1.02, p-value=0.07). In addition, multi-tissue expression quantitative trait loci (eQTL) analyses from the Genotype-Tissue Expression Project indicated a potential effect of rs942190 on lung tissue, with higher TDP1 gene expression for the GG than AG or AA genotypes.
Conclusion: We found that among SCLC patients the TDP1 rs942190 GG genotype was associated with poor overall survival. Further study could determine if this genotype can serve as a predictive marker for the treatment efficacy of DNA topoisomerase inhibitors in SCLC.
Citation Format: Pawadee Lohavanichbutr, Lori C. Sakoda, Christopher I. Amos, Susanne M. Arnold, David C. Christiani, Michael P. Davies, John K. Field, Eric B. Haura, Rayjean J. Hung, Takashi Kohno, Maria Teresa Landi, Geoffrey Liu, Yi Liu, Michael W. Marcus, Grainne M. O'Kane, Matthew B. Schabath, Kouya Shiraishi, Stacey A. Slone, Adonina Tardón, Ping Yang, Kazushi Yoshida, Ruyang Zhang, Xuchen Zong, Noel S. Weiss, Chu Chen. Common TDP1 polymorphisms in relation to survival among small cell lung cancer patients in a multicenter study from the International Lung Cancer Consortium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2248. doi:10.1158/1538-7445.AM2017-2248
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Affiliation(s)
| | | | | | | | | | | | | | | | - Rayjean J. Hung
- 8Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | | | | | - Geoffrey Liu
- 11Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Yi Liu
- 12Mayo Clinic, Rochester, MN
| | | | | | | | | | | | | | | | | | | | - Xuchen Zong
- 8Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | | | - Chu Chen
- 1Fred Hutchinson Cancer Research Center, Seattle, WA
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16
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McKay JD, Hung RJ, Han Y, Zong X, Carreras-Torres R, Christiani DC, Caporaso NE, Johansson M, Xiao X, Li Y, Byun J, Dunning A, Pooley KA, Qian DC, Ji X, Liu G, Timofeeva MN, Bojesen SE, Wu X, Le Marchand L, Albanes D, Bickeböller H, Aldrich MC, Bush WS, Tardon A, Rennert G, Teare MD, Field JK, Kiemeney LA, Lazarus P, Haugen A, Lam S, Schabath MB, Andrew AS, Shen H, Hong YC, Yuan JM, Bertazzi PA, Pesatori AC, Ye Y, Diao N, Su L, Zhang R, Brhane Y, Leighl N, Johansen JS, Mellemgaard A, Saliba W, Haiman CA, Wilkens LR, Fernandez-Somoano A, Fernandez-Tardon G, van der Heijden HF, Kim JH, Dai J, Hu Z, Davies MPA, Marcus MW, Brunnström H, Manjer J, Melander O, Muller DC, Overvad K, Trichopoulou A, Tumino R, Doherty JA, Barnett MP, Chen C, Goodman GE, Cox A, Taylor F, Woll P, Brüske I, Wichmann HE, Manz J, Muley TR, Risch A, Rosenberger A, Grankvist K, Johansson M, Shepherd FA, Tsao MS, Arnold SM, Haura EB, Bolca C, Holcatova I, Janout V, Kontic M, Lissowska J, Mukeria A, Ognjanovic S, Orlowski TM, Scelo G, Swiatkowska B, Zaridze D, Bakke P, Skaug V, Zienolddiny S, Duell EJ, Butler LM, Koh WP, Gao YT, Houlston RS, McLaughlin J, Stevens VL, Joubert P, Lamontagne M, Nickle DC, Obeidat M, Timens W, Zhu B, Song L, Kachuri L, Artigas MS, Tobin MD, Wain LV, Rafnar T, Thorgeirsson TE, Reginsson GW, Stefansson K, Hancock DB, Bierut LJ, Spitz MR, Gaddis NC, Lutz SM, Gu F, Johnson EO, Kamal A, Pikielny C, Zhu D, Lindströem S, Jiang X, Tyndale RF, Chenevix-Trench G, Beesley J, Bossé Y, Chanock S, Brennan P, Landi MT, Amos CI. Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes. Nat Genet 2017; 49:1126-1132. [PMID: 28604730 PMCID: PMC5510465 DOI: 10.1038/ng.3892] [Citation(s) in RCA: 365] [Impact Index Per Article: 52.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Accepted: 05/10/2017] [Indexed: 12/15/2022]
Abstract
Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genome-wide association study (GWAS) analysis of lung cancer in 29,266 cases and 56,450 controls. We identified 18 susceptibility loci achieving genome-wide significance, including 10 new loci. The new loci highlight the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer, with four loci associated with lung cancer overall and six loci associated with lung adenocarcinoma. Gene expression quantitative trait locus (eQTL) analysis in 1,425 normal lung tissue samples highlights RNASET2, SECISBP2L and NRG1 as candidate genes. Other loci include genes such as a cholinergic nicotinic receptor, CHRNA2, and the telomere-related genes OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer.
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Affiliation(s)
- James D. McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, Canada
| | - Younghun Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, Canada
| | | | - David C. Christiani
- Department of Environmental Health, Harvard TH Chan School of Public Health, and Massachusetts General Hospital/Harvard Medical School, Boston, MA. 02115
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Xiangjun Xiao
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Yafang Li
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Jinyoung Byun
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Alison Dunning
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Karen A. Pooley
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - David C. Qian
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Xuemei Ji
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, Canada
| | - Maria N. Timofeeva
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Stig E. Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Germany
| | - Melinda C. Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center
| | - William S. Bush
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, OH
| | - Adonina Tardon
- University of Oviedo and CIBERESP, Faculty of Medicine, Campus del Cristo s/n, 33006 Oviedo, Spain
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - M. Dawn Teare
- School of Health and Related Research, University of Sheffield, England, UK
| | - John K. Field
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | | | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, Washington, USA
| | - Aage Haugen
- National Institute of Occupational Health, Oslo, Norway
| | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, Canada
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | | | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, USA
| | - Pier Alberto Bertazzi
- Department of Preventive Medicine, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health – DISCCO, University of Milan, Milan, Italy
| | - Angela C. Pesatori
- Department of Clinical Sciences and Community Health – DISCCO, University of Milan, Milan, Italy
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Nancy Diao
- Department of Environmental Health, Harvard TH Chan School of Public Health, and Massachusetts General Hospital/Harvard Medical School, Boston, MA. 02115
| | - Li Su
- Department of Environmental Health, Harvard TH Chan School of Public Health, and Massachusetts General Hospital/Harvard Medical School, Boston, MA. 02115
| | - Ruyang Zhang
- Department of Environmental Health, Harvard TH Chan School of Public Health, and Massachusetts General Hospital/Harvard Medical School, Boston, MA. 02115
| | - Yonathan Brhane
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, Canada
| | - Natasha Leighl
- University Health Network- The Princess Margaret Cancer Centre, Toronto, CA
| | - Jakob S. Johansen
- Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark
| | - Anders Mellemgaard
- Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark
| | - Walid Saliba
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ana Fernandez-Somoano
- University of Oviedo and CIBERESP, Faculty of Medicine, Campus del Cristo s/n, 33006 Oviedo, Spain
| | | | | | - Jin Hee Kim
- Department of Integrative Bioscience & Biotechnology, Sejong University, Gwangjin-gu, Seoul, Republic of Korea
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China
| | - Michael PA Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Michael W. Marcus
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | | | - Jonas Manjer
- Faculty of Medicine, Lund University, Lund, Sweden
| | | | - David C. Muller
- School of Public Health, St Mary’s Campus, Imperial College London, UK
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Denmark
| | | | - Rosario Tumino
- Tumino. Molecular and Nutritional Epidemiology Unit CSPO (Cancer Research and Prevention Centre), Scientific Institute of Tuscany, Florence, Italy
| | - Jennifer A. Doherty
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Huntsman Cancer Institute, 2000 Circle of Hope, Salt Lake City, UT 84112
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Matt P. Barnett
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | | | - Angela Cox
- Department of Oncology, University of Sheffield, Sheffield, UK
| | - Fiona Taylor
- Department of Oncology, University of Sheffield, Sheffield, UK
| | - Penella Woll
- Department of Oncology, University of Sheffield, Sheffield, UK
| | - Irene Brüske
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - H.-Erich Wichmann
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Germany
| | - Judith Manz
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas R. Muley
- Thoraxklinik at University Hospital Heidelberg
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
| | - Angela Risch
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Thoraxklinik at University Hospital Heidelberg
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
- German Center for Lung Research (DZL), Heidelberg, Germany
- University of Salzburg and Cancer Cluster Salzburg, Austria
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Germany
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | | | | | - Susanne M. Arnold
- University of Kentucky, Markey Cancer Center, Lexington, Kentucky, USA
| | - Eric B. Haura
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Ciprian Bolca
- Institute of Pneumology “Marius Nasta”, Bucharest, Romania
| | - Ivana Holcatova
- 2nd Faculty of Medicine, Charles University, Prague, Czech Republic
| | | | - Milica Kontic
- Clinical Center of Serbia, Belgrade. School of Medicine, University of Belgrade
| | - Jolanta Lissowska
- M. Sklodowska-Curie Cancer Center, Institute of Oncology, Warsaw, Poland
| | - Anush Mukeria
- Department of Epidemiology and Prevention, Russian N.N.Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Simona Ognjanovic
- International Organization for Cancer Prevention and Research, Belgrade, Serbia
| | - Tadeusz M. Orlowski
- Department of Surgery, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Poland
| | - Ghislaine Scelo
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Beata Swiatkowska
- Nofer Institute of Occupational Medicine, Department of Environmental Epidemiology, Lodz, Poland
| | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N.Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Vidar Skaug
- National Institute of Occupational Health, Oslo, Norway
| | | | - Eric J. Duell
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | | | - Woon-Puay Koh
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, China
| | | | | | | | - Philippe Joubert
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Canada
| | - Maxime Lamontagne
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Canada
| | - David C. Nickle
- Merck Research Laboratories, Genetics and Pharmacogenomics, Boston, MA, USA
| | - Ma’en Obeidat
- The University of British Columbia Centre for Heart Lung Innovation, St Paul’s Hospital, Vancouver, BC, Canada
| | - Wim Timens
- University of Groningen, Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, GRIAC Research Institute, The Netherlands
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Linda Kachuri
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, Canada
| | - María Soler Artigas
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
- National Institute for Health Research (NIHR) Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Martin D. Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
- National Institute for Health Research (NIHR) Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Louise V. Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
- National Institute for Health Research (NIHR) Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - SpiroMeta Consortium
- SpiroMeta Consortium see Supplemental Materials for full list of participating members
| | | | | | | | | | - Dana B. Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, North Carolina, USA
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Nathan C. Gaddis
- Research Computing Division, RTI International, Research Triangle Park, North Carolina, USA
| | - Sharon M. Lutz
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Fangyi Gu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Eric O. Johnson
- Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, North Carolina, USA
| | - Ahsan Kamal
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Claudio Pikielny
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Dakai Zhu
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover NH
| | - Sara Lindströem
- Department of Epidemiology, University of Washington, 1959 NE Pacific Street, Health Sciences Bldg., F-247B, Box 357236, Seattle, WA 98195
| | - Xia Jiang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115
| | - Rachel F. Tyndale
- Departments of Pharmacology and Toxicology & Psychiatry, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | | | - Jonathan Beesley
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Canada
- Department of Molecular Medicine, Laval University, Québec, Canada
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
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17
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Affiliation(s)
- Ayden I. Scheim
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada
| | - Xuchen Zong
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada
| | - Rachel Giblon
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada
| | - Greta R. Bauer
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada
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18
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Huang R, Wei Y, Hung RJ, Liu G, Su L, Zhang R, Zong X, Zhang ZF, Morgenstern H, Brüske I, Heinrich J, Hong YC, Kim JH, Cote M, Wenzlaff A, Schwartz AG, Stucker I, Mclaughlin J, Marcus MW, Davies MPA, Liloglou T, Field JK, Matsuo K, Barnett M, Thornquist M, Goodman G, Wang Y, Chen S, Yang P, Duell EJ, Andrew AS, Lazarus P, Muscat J, Woll P, Horsman J, Teare MD, Flugelman A, Rennert G, Zhang Y, Brenner H, Stegmaier C, van der Heijden EHFM, Aben K, Kiemeney L, Barros-Dios J, Pérez-Ríos M, Ruano-Ravina A, Caporaso NE, Bertazzi PA, Landi MT, Dai J, Hongbing Shen H, Fernandez-Tardon G, Rodriguez-Suarez M, Tardon A, Christiani DC. Associated Links Among Smoking, Chronic Obstructive Pulmonary Disease, and Small Cell Lung Cancer: A Pooled Analysis in the International Lung Cancer Consortium. EBioMedicine 2016; 2:1677-85. [PMID: 26870794 PMCID: PMC4740296 DOI: 10.1016/j.ebiom.2015.09.031] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 09/16/2015] [Accepted: 09/16/2015] [Indexed: 01/17/2023] Open
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19
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Hu M, Zong X, Zheng J, Mann JJ, Li Z, Pantazatos SP, Li Y, Liao Y, He Y, Zhou J, Sang D, Zhao H, Tang J, Chen H, Lv L, Chen X. Risperidone-induced topological alterations of anatomical brain network in first-episode drug-naive schizophrenia patients: a longitudinal diffusion tensor imaging study. Psychol Med 2016; 46:2549-2560. [PMID: 27338296 PMCID: PMC5242555 DOI: 10.1017/s0033291716001380] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND It remains unclear whether the topological deficits of the white matter network documented in cross-sectional studies of chronic schizophrenia patients are due to chronic illness or to other factors such as antipsychotic treatment effects. To answer this question, we evaluated the white matter network in medication-naive first-episode schizophrenia patients (FESP) before and after a course of treatment. METHOD We performed a longitudinal diffusion tensor imaging study in 42 drug-naive FESP at baseline and then after 8 weeks of risperidone monotherapy, and compared them with 38 healthy volunteers. Graph theory was utilized to calculate the topological characteristics of brain anatomical network. Patients' clinical state was evaluated using the Positive and Negative Syndrome Scale (PANSS) before and after treatment. RESULTS Pretreatment, patients had relatively intact overall topological organizations, and deficient nodal topological properties primarily in prefrontal gyrus and limbic system components such as the bilateral anterior and posterior cingulate. Treatment with risperidone normalized topological parameters in the limbic system, and the enhancement positively correlated with the reduction in PANSS-positive symptoms. Prefrontal topological impairments persisted following treatment and negative symptoms did not improve. CONCLUSIONS During the early phase of antipsychotic medication treatment there are region-specific alterations in white matter topological measures. Limbic white matter topological dysfunction improves with positive symptom reduction. Prefrontal deficits and negative symptoms are unresponsive to medication intervention, and prefrontal deficits are potential trait biomarkers and targets for negative symptom treatment development.
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Affiliation(s)
- M. Hu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
- Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Departments of Psychiatry and Radiology, Columbia University, 1051 Riverside Drive, Box 42, New York, NY 10032, USA
| | - X. Zong
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - J. Zheng
- Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, People’s Republic of China
| | - J. J. Mann
- Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Departments of Psychiatry and Radiology, Columbia University, 1051 Riverside Drive, Box 42, New York, NY 10032, USA
| | - Z. Li
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - S. P. Pantazatos
- Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute and Departments of Psychiatry, Columbia University, New York, NY 10032, USA
| | - Y. Li
- Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, People’s Republic of China
| | - Y. Liao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute for Neuroscience, David Geffen School of Medicine, Los Angeles, CA 90024, USA
| | - Y. He
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - J. Zhou
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - D. Sang
- Department of Radiology, Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, People’s Republic of China
| | - H. Zhao
- Department of Radiology, Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, People’s Republic of China
| | - J. Tang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute for Neuroscience, David Geffen School of Medicine, Los Angeles, CA 90024, USA
| | - H. Chen
- Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, People’s Republic of China
| | - L. Lv
- Department of Psychiatry, Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, People’s Republic of China
- Henan Key Laboratory of Biological Psychiatry, Henan Mental Hospital, Xinxiang Medical University, Xinxiang, Henan 453002, People’s Republic of China
| | - X. Chen
- Mental Health Institute of the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
- National Technology Institute of Psychiatry, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
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Mckay JD, Li Y, Han Y, Xioa X, Field J, Zong X, Bickeböller H, Christiani DC, Brennan P, Landi MT, Hung R, Amos CI. Abstract 2569: A genome wide association study of lung cancer identifies 11 novel susceptibility loci. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-2569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background
Genome wide association studies (GWAS) of lung cancer have identified susceptibility loci at 15q25, 5p15, 6p21, 13q13 and 22q12 that contain relevant candidate genes such as CHRNA3/5, TERT, HLA, BRCA2 and CHEK2, respectively. Many of these alleles appear more relevant to a particularly histological type of lung cancer.
With the aim of identifying novel lung cancer susceptibility loci, The Transdisciplinary Research in Cancer of the Lung (TRICL), the International Lung Cancer Consortium (ILCCO) and Lung Cancer Cohort Consortium (LC3) have undertaken a very large collaborative GWAS across 29 lung cancer studies, including analysis of the predominant lung cancer histological subtypes.
Methods
In collaboration with the Center for Disease Research (CIDR), TRICL, ILCCO and LC3 have genotyped 18,000 case-control pairs on the GAME-On Oncoarray. SNP imputation was undertaken using the 1,000 Genomes v3 reference panel, followed by logistic regression of each genetic variant with lung cancer and considering ancestry inferred by genetic profile to correct for cryptic population structure. The OncoArray and our previous GWAS results were combined using meta-analysis. This allowed for a GWAS of 10,155,682 SNPs for 25,655 lung cancer cases and 52,451 controls, as well as histology specific analysis of 6,629 squamous cell and 9,817 adenocarcinomas. Alternate genotyping techniques (Affymetrix, Taqman) were used to confirm the fidelity of the genotyping for variants of interest.
Results
We have identified common genetic variants exceeding genome wide significance (p<5×10-8) at eleven novel susceptibility loci. This included two associated with overall lung cancer (1p31, 19q13), eight with lung adenocarcinomas (3q28, 6p25, 8p12, 9p21, 10q25, 11q23, 15q21, 20q13) and one with squamous-cell lung carcinomas (10q24). These genetic variants are located near several intriguing candidate genes, such as telomere function genes (OBFC1, RTEL1), nicotine metabolism genes (CYP2A6), genes somatically mutated in lung cancer (NRG1) and genetic susceptibility loci linked to other cancers (IRF4, CDNK2A). In additional, we noted several borderline (p<10-6) associations with common variants located near nicotine addiction genes (CHRNB2, CHRNA2, CHRNA4, DBH) and other genes somatically translocated in lung cancer (ROS1). Integration of eQTL databases suggests that many of the associated genetic variants influence gene expression levels of these candidate genes.
Conclusion
We have identified eleven novel lung cancer susceptibility loci, doubling the number implicated by GWAS. These genetic variants were common (MAF 0.05-0.49) with modest to small genetic effects (OR's 1.10-1.17). Further expansion of GWAS efforts, particularly within histological subtypes of lung cancer, is likely to identify additional susceptibility loci and further increase our understanding of lung cancer aetiology.
Citation Format: James Dowling Mckay, Yafang Li, Younghun Han, Xiangjun Xioa, John Field, Xuchen Zong, Heike Bickeböller, David C. Christiani, Paul Brennan, Maria-Teresa Landi, Rayjean Hung, Christopher I. Amos, on behalf of the OncoArray Lung Cancer Group. A genome wide association study of lung cancer identifies 11 novel susceptibility loci. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2569.
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Affiliation(s)
| | | | | | | | - John Field
- 3University of Liverpool, United Kingdom
| | - Xuchen Zong
- 4Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | | | | | - Paul Brennan
- 1International Agency for Res. on Cancer, Lyons, France
| | - Maria-Teresa Landi
- 7Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD
| | - Rayjean Hung
- 4Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
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21
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Kachuri L, Amos CI, McKay JD, Johansson M, Vineis P, Bueno-de-Mesquita H, Boutron-Ruault MC, Johansson M, Quirós J, Sieri S, Travis RC, Weiderpass E, Le Marchand L, Henderson BE, Wilkens L, Goodman GE, Chen C, Doherty JA, Christiani DC, Wei Y, Su L, Tworoger S, Zhang X, Kraft P, Zaridze D, Field JK, Marcus MW, Davies MP, Hyde R, Caporaso NE, Landi MT, Severi G, Giles GG, Liu G, McLaughlin JR, Li Y, Xiao X, Fehringer G, Zong X, Denroche RE, Zuzarte PC, McPherson JD, Brennan P, Hung RJ. Fine mapping of chromosome 5p15.33 based on a targeted deep sequencing and high density genotyping identifies novel lung cancer susceptibility loci. Carcinogenesis 2016; 37:96-105. [PMID: 26590902 PMCID: PMC4715236 DOI: 10.1093/carcin/bgv165] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Revised: 11/02/2015] [Accepted: 11/13/2015] [Indexed: 01/01/2023] Open
Abstract
Chromosome 5p15.33 has been identified as a lung cancer susceptibility locus, however the underlying causal mechanisms were not fully elucidated. Previous fine-mapping studies of this locus have relied on imputation or investigated a small number of known, common variants. This study represents a significant advance over previous research by investigating a large number of novel, rare variants, as well as their underlying mechanisms through telomere length. Variants for this fine-mapping study were identified through a targeted deep sequencing (average depth of coverage greater than 4000×) of 576 individuals. Subsequently, 4652 SNPs, including 1108 novel SNPs, were genotyped in 5164 cases and 5716 controls of European ancestry. After adjusting for known risk loci, rs2736100 and rs401681, we identified a new, independent lung cancer susceptibility variant in LPCAT1: rs139852726 (OR = 0.46, P = 4.73×10(-9)), and three new adenocarcinoma risk variants in TERT: rs61748181 (OR = 0.53, P = 2.64×10(-6)), rs112290073 (OR = 1.85, P = 1.27×10(-5)), rs138895564 (OR = 2.16, P = 2.06×10(-5); among young cases, OR = 3.77, P = 8.41×10(-4)). In addition, we found that rs139852726 (P = 1.44×10(-3)) was associated with telomere length in a sample of 922 healthy individuals. The gene-based SKAT-O analysis implicated TERT as the most relevant gene in the 5p15.33 region for adenocarcinoma (P = 7.84×10(-7)) and lung cancer (P = 2.37×10(-5)) risk. In this largest fine-mapping study to investigate a large number of rare and novel variants within 5p15.33, we identified novel lung and adenocarcinoma susceptibility loci with large effects and provided support for the role of telomere length as the potential underlying mechanism.
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Affiliation(s)
- Linda Kachuri
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada
| | - Christopher I. Amos
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - James D. McKay
- International Agency for Research on Cancer, Lyon, CEDEX 08, 69372, France
| | - Mattias Johansson
- International Agency for Research on Cancer, Lyon, CEDEX 08, 69372, France
| | - Paolo Vineis
- Human Genetics Foundation (HuGeF), 10126Torino, Italy
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, UK
| | - H.Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, 3584 CX Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London SW7 2AZ, UK
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Marie-Christine Boutron-Ruault
- INSERM, Centre for Research in Epidemiology and Population Health (CESP), U1018, Lifestyle, Genes and Health: Integrative Trans-Generational Epidemiology, 94805 Villejuif, France
- Université Paris Sud, UMRS 1018 94805, Villejuif, France
- Institut Gustave RoussyF-94805, Villejuif, France
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umeå SE-901 87, Sweden
| | - J.Ramón Quirós
- Public Health Directorate Asturias, CP 33006 Oviedo, Spain
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milano, Italy
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037 Tromsø, Norway
- Department of Research, Cancer Registry of Norway, 0379 Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki FI-00014, Finland
| | | | | | - Lynne Wilkens
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Gary E. Goodman
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jennifer A. Doherty
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - David C. Christiani
- Departments of Environmental Health and Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Yongyue Wei
- Departments of Environmental Health and Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Li Su
- Departments of Environmental Health and Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Shelley Tworoger
- Departments of Environmental Health and Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Peter Kraft
- Departments of Biostatistics and Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - David Zaridze
- Russian Cancer Research Center, Moscow 115478, Russia
| | - John K. Field
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre Institute of Translational Medicine, University of Liverpool, Liverpool L69 3BX, UK
| | - Michael W. Marcus
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre Institute of Translational Medicine, University of Liverpool, Liverpool L69 3BX, UK
| | - Michael P.A. Davies
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre Institute of Translational Medicine, University of Liverpool, Liverpool L69 3BX, UK
| | - Russell Hyde
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre Institute of Translational Medicine, University of Liverpool, Liverpool L69 3BX, UK
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA
| | - Gianluca Severi
- Human Genetics Foundation (HuGeF), 10126Torino, Italy
- INSERM, Centre for Research in Epidemiology and Population Health (CESP), U1018, Lifestyle, Genes and Health: Integrative Trans-Generational Epidemiology, 94805 Villejuif, France
- Université Paris Sud, UMRS 1018 94805, Villejuif, France
- Institut Gustave RoussyF-94805, Villejuif, France
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3010, Australia
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3010, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne 3004, Australia
| | - Geoffrey Liu
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada
- Ontario Cancer Institute, Princess Margaret Cancer Center, Toronto, Ontario M5G 0A3, Canada
| | - John R. McLaughlin
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
- Public Health Ontario, Toronto, Ontario M5G 1V2, Canada, and
| | - Yafang Li
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Xiangjun Xiao
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Gord Fehringer
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
| | - Robert E. Denroche
- Genome Technologies, Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada
| | - Philip C. Zuzarte
- Genome Technologies, Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada
| | - John D. McPherson
- Genome Technologies, Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, CEDEX 08, 69372, France
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada
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Bauer GR, Zong X, Scheim AI, Hammond R, Thind A. Factors Impacting Transgender Patients' Discomfort with Their Family Physicians: A Respondent-Driven Sampling Survey. PLoS One 2015; 10:e0145046. [PMID: 26678997 PMCID: PMC4683012 DOI: 10.1371/journal.pone.0145046] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 11/29/2015] [Indexed: 11/18/2022] Open
Abstract
Background Representing approximately 0.5% of the population, transgender (trans) persons in Canada depend on family physicians for both general and transition-related care. However, physicians receive little to no training on this patient population, and trans patients are often profoundly uncomfortable and may avoid health care. This study examined factors associated with patient discomfort discussing trans health issues with a family physician in Ontario, Canada. Methods 433 trans people age 16 and over were surveyed using respondent-driven sampling for the Trans PULSE Project; 356 had a family physician. Weighted logistic regression models were fit to produce prevalence risk ratios (PRRs) via average marginal predictions, for transmasculine (n = 184) and transfeminine (n = 172) trans persons. Results Among the 83.1% (95% CI = 77.4, 88.9) of trans Ontarians who had a family physician, approximately half reported discomfort discussing trans health issues. 37.2% of transmasculine and 38.1% of transfeminine persons reported at least one trans-specific negative experience. In unadjusted analysis, sociodemographics did not predict discomfort, but those who planned to medically transition sex, but had not begun, were more likely to report discomfort (transmasculine: PRR = 2.62 (95% CI = 1.44, 4.77); transfeminine: PRR = 1.85 (95% CI = 1.08, 3.15)). Adjusted for other factors, greater perceived physician knowledge about trans issues was associated with reduced likelihood of discomfort, and previous trans-specific negative experiences with a family physician with increased discomfort. Transfeminine persons who reported three or more types of negative experiences were 2.26 times as likely, and transmasculine persons 1.61 times as likely, to report discomfort. In adjusted analyses, sociodemographic associations differed by gender, with being previously married or having higher education associated with increased risk of discomfort among transfeminine persons, but decreased risk among transmasculine persons. Conclusions Within this transgender population, discomfort in discussing trans health issues with a family physician was common, presenting a barrier to accessing primary care despite having a regular family physician and “universal” health insurance.
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Affiliation(s)
- Greta R. Bauer
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
- * E-mail:
| | - Xuchen Zong
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Ayden I. Scheim
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | | | - Amardeep Thind
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
- Schulich Interfaculty Program in Public Health, The University of Western Ontario, London, Ontario, Canada
- Department of Family Medicine, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
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23
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Brenner DR, Amos CI, Brhane Y, Timofeeva MN, Caporaso N, Wang Y, Christiani DC, Bickeböller H, Yang P, Albanes D, Stevens VL, Gapstur S, McKay J, Boffetta P, Zaridze D, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Krokan HE, Skorpen F, Gabrielsen ME, Vatten L, Njølstad I, Chen C, Goodman G, Lathrop M, Vooder T, Välk K, Nelis M, Metspalu A, Broderick P, Eisen T, Wu X, Zhang D, Chen W, Spitz MR, Wei Y, Su L, Xie D, She J, Matsuo K, Matsuda F, Ito H, Risch A, Heinrich J, Rosenberger A, Muley T, Dienemann H, Field JK, Raji O, Chen Y, Gosney J, Liloglou T, Davies MPA, Marcus M, McLaughlin J, Orlow I, Han Y, Li Y, Zong X, Johansson M, Liu G, Tworoger SS, Le Marchand L, Henderson BE, Wilkens LR, Dai J, Shen H, Houlston RS, Landi MT, Brennan P, Hung RJ. Identification of lung cancer histology-specific variants applying Bayesian framework variant prioritization approaches within the TRICL and ILCCO consortia. Carcinogenesis 2015; 36:1314-26. [PMID: 26363033 PMCID: PMC4635669 DOI: 10.1093/carcin/bgv128] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Revised: 08/17/2015] [Accepted: 08/24/2015] [Indexed: 01/08/2023] Open
Abstract
Large-scale genome-wide association studies (GWAS) have likely uncovered all common variants at the GWAS significance level. Additional variants within the suggestive range (0.0001> P > 5×10(-8)) are, however, still of interest for identifying causal associations. This analysis aimed to apply novel variant prioritization approaches to identify additional lung cancer variants that may not reach the GWAS level. Effects were combined across studies with a total of 33456 controls and 6756 adenocarcinoma (AC; 13 studies), 5061 squamous cell carcinoma (SCC; 12 studies) and 2216 small cell lung cancer cases (9 studies). Based on prior information such as variant physical properties and functional significance, we applied stratified false discovery rates, hierarchical modeling and Bayesian false discovery probabilities for variant prioritization. We conducted a fine mapping analysis as validation of our methods by examining top-ranking novel variants in six independent populations with a total of 3128 cases and 2966 controls. Three novel loci in the suggestive range were identified based on our Bayesian framework analyses: KCNIP4 at 4p15.2 (rs6448050, P = 4.6×10(-7)) and MTMR2 at 11q21 (rs10501831, P = 3.1×10(-6)) with SCC, as well as GAREM at 18q12.1 (rs11662168, P = 3.4×10(-7)) with AC. Use of our prioritization methods validated two of the top three loci associated with SCC (P = 1.05×10(-4) for KCNIP4, represented by rs9799795) and AC (P = 2.16×10(-4) for GAREM, represented by rs3786309) in the independent fine mapping populations. This study highlights the utility of using prior functional data for sequence variants in prioritization analyses to search for robust signals in the suggestive range.
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Affiliation(s)
- Darren R Brenner
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada, Section of Genetics, International Agency for Research on Cancer, 69372 Lyon, France, Department of Cancer Epidemiology and Prevention Research, Cancer Control Alberta, Alberta Health Services, Calgary, Alberta T2T 5C7, Canada
| | - Christopher I Amos
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Yonathan Brhane
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
| | - Maria N Timofeeva
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH8 9YL, UK
| | - Neil Caporaso
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yufei Wang
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - David C Christiani
- Departments of Environmental Health and Epidemiology, Harvard University School of Public Health, Boston, MA 02115, USA
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, 37073 Göttingen, Germany
| | - Ping Yang
- Division of Health Sciences, Cancer Center and College of Medicine, Mayo Clinic, Rochester, NY 55905, USA
| | - Demetrius Albanes
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Epidemiology and Surveillance Research, Atlanta, GA 30301, USA
| | - Susan Gapstur
- Epidemiology Research Program, American Cancer Society, Epidemiology and Surveillance Research, Atlanta, GA 30301, USA
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, 69372 Lyon, France
| | - Paolo Boffetta
- Population Sciences, Tisch Cancer Center and Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - David Zaridze
- Institute of Carcinogenesis, Russian N.N.Blokhin Cancer Research Centre, 115478 Moscow, Russia
| | | | - Jolanta Lissowska
- Department of Epidemiology and Cancer Prevention, The M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02781, Poland
| | - Peter Rudnai
- National Institute of Environmental Health, Budapest 1097, Hungary
| | - Eleonora Fabianova
- Department of Health Risk Assessment, Regional Authority of Public Health, Banská Bystrica 97556, Slovak Republic
| | - Dana Mates
- National Institute of Public Health, Bucharest 050463, Romania
| | - Vladimir Bencko
- Institute of Hygiene and Epidemiology, 1st Faculty of Medicine, Charles University in Prague, 128 00 Prague 2, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno 65653, Czech Republic
| | - Vladimir Janout
- Department of Preventive Medicine, Palacky University, Olomouc 77515, Czech Republic
| | - Hans E Krokan
- Department of Cancer Research and Molecular Medicine, Faculty of Medicine
| | - Frank Skorpen
- Department of Laboratory Medicine, Children's and Women's Health, Faculty of Medicine and
| | - Maiken E Gabrielsen
- Department of Laboratory Medicine, Children's and Women's Health, Faculty of Medicine and
| | - Lars Vatten
- Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7489, Norway
| | - Inger Njølstad
- Department of Community Medicine, University of Tromso, Tromso N-9037, Norway
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Gary Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Mark Lathrop
- McGill University and Genome Québec Innovation Centre, Montréal, Quebec, Canada
| | - Tõnu Vooder
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Kristjan Välk
- Department of Biomedicine, University of Bergen, Bergen 5009, Norway
| | - Mari Nelis
- Institute of Molecular and Cell Biology, Estonian Biocentre, Genotyping Core Facility, Tartu 51010, Estonia
| | - Andres Metspalu
- Institute of Molecular and Cell Biology, Estonian Biocentre, Genotyping Core Facility, Tartu 51010, Estonia
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Timothy Eisen
- Department of Oncology, Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, UK
| | - Xifeng Wu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Di Zhang
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wei Chen
- Department of Genetics, U.T. M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Margaret R Spitz
- Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yongyue Wei
- Departments of Environmental Health and Epidemiology, Harvard University School of Public Health, Boston, MA 02115, USA
| | - Li Su
- Departments of Environmental Health and Epidemiology, Harvard University School of Public Health, Boston, MA 02115, USA
| | - Dong Xie
- Division of Health Sciences, Cancer Center and College of Medicine, Mayo Clinic, Rochester, NY 55905, USA
| | - Jun She
- Division of Health Sciences, Cancer Center and College of Medicine, Mayo Clinic, Rochester, NY 55905, USA
| | - Keitaro Matsuo
- Department of Preventive Medicine, Kyushu University Graduate School of Medicine, Fukuoka City 819-0395, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Hidemi Ito
- Department of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Chikusa-ku Nagoya 464-0021, Japan
| | - Angela Risch
- Division of Epigenomics and Cancer Risk Factors, DKFZ, 69121 Heidelberg, Germany, Division of Epigenomics and Cancer Risk Factors, Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), 69121 Heidelberg, Germany
| | - Joachim Heinrich
- Unit of Environmental Epidemiology, Helmholtz Zentrum Munchen, 85764 Neuherberg, Germany
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, 37073 Göttingen, Germany
| | - Thomas Muley
- Division of Epigenomics and Cancer Risk Factors, Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), 69121 Heidelberg, Germany, Translational Research Unit and
| | - Hendrik Dienemann
- Division of Epigenomics and Cancer Risk Factors, Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), 69121 Heidelberg, Germany, Department of Thoracic Surgery, Thoraxklinik am Universitätsklinikum Heidelberg, 69117 Heidelberg, Germany
| | - John K Field
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK
| | - Olaide Raji
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK
| | - Ying Chen
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK
| | - John Gosney
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK
| | - Triantafillos Liloglou
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK
| | - Michael P A Davies
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK
| | - Michael Marcus
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK
| | - John McLaughlin
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Younghun Han
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Yafang Li
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, 69372 Lyon, France
| | - Geoffrey Liu
- Medical Oncology and Haematology, Department of Medicine, Princess Margaret Hospital, Toronto, Ontario M5G 2M9, Canada
| | - Shelley S Tworoger
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Loic Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Brian E Henderson
- Keck School of Medicine, University of South California, Los Angeles, CA 90089-0911, USA and
| | - Lynne R Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Maria T Landi
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, 69372 Lyon, France
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5T 3L9, Canada,
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Zong X, Pole JD, Grundy P, Mahmud SM, Parker L, Hung RJ. Abstract 3713: Second malignant neoplasms after non-CNS embryonal tumors in North America. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-3713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Childhood cancer survivors are known to face an increased risk of adverse medical conditions related to the initial disease or cancer treatment; however, few studies have quantified the risk of second malignant neoplasms (SMNs) among survivors of childhood non-CNS embryonal cancer due to its rarity. In this study, we combined data from the U.S. and Canada to investigate the risk of SMNs.
Methods: Data from 13,107 survivors of childhood non-CNS embryonal tumors reported to the Surveillance Epidemiology and End Results (SEER) program in the U.S. and 8 population-based cancer registries in Canada (between 1973 to 2010) were analyzed. We calculated standardized incidence ratios (SIRs) for all types of second primaries by type of first primary, age at first cancer diagnosis, and follow-up duration. Expected numbers of SMNs were obtained by applying age-, sex-, calendar year-, and registry-specific cancer incidence rates to person-years contributed by these cancer survivors.
Results: One hundred and ninety SMNs were reported over 134,548 person-years of follow-up, with bone and joint cancer and leukemia being the most common SMNs (19% and 16% respectively). The SIR for all SMNs combined was 6.4 (95% CI: 5.53-7.35). Most site-specific SIRs were significantly increased, ranging from 36.4 (95% CI: 25.5-49.2) for bone and joint cancer, to 3.1 (95% CI: 1.54-5.2) for brain tumor. Among all the survivors, those who survived rhabdomyosarcoma carried the greatest risk of SMN development with SIR of 11.5 (95% CI: 8.7-14.6). Bone and joint tumors were mostly seen among retinoblastoma survivors, reflecting a markedly risk of 139.3 (95% CI: 85-207). When stratified by follow-up period, we observed that the risk patterns varied by SMN site. For example, the risk for a second malignancy in the thyroid remained significantly increased even after 20 years of follow-up, whereas the elevated risk of secondary leukemia persisted for 10 years but decreased rapidly afterwards. Details of stratified analyses by first primary tumor site, age at first diagnosis, and follow-up duration will be presented.
Conclusion: Survivors of childhood non-CNS embryonal tumors have increased risks of developing SMNs compared to the general population. Increased surveillance may explain the elevated risks within the first few years of the initial diagnosis, but treatment effects and shared etiology most likely account for the excess risk later in life.
Citation Format: Xuchen Zong, Jason D. Pole, Paul Grundy, Salaheddin M. Mahmud, Louise Parker, Rayjean J. Hung. Second malignant neoplasms after non-CNS embryonal tumors in North America. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3713. doi:10.1158/1538-7445.AM2015-3713
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Affiliation(s)
- Xuchen Zong
- 1Lunenfeld-Tannenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Jason D. Pole
- 2Pediatric Oncology Group of Ontario (POGO), Toronto, Ontario, Canada
| | - Paul Grundy
- 3CancerControl Alberta, Edmonton, Alberta, Canada
| | - Salaheddin M. Mahmud
- 4Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Rayjean J. Hung
- 1Lunenfeld-Tannenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
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25
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Poirier JG, Brennan P, McKay JD, Spitz MR, Bickeböller H, Risch A, Liu G, Le Marchand L, Tworoger S, McLaughlin J, Rosenberger A, Heinrich J, Brüske I, Muley T, Henderson BE, Wilkens LR, Zong X, Li Y, Hao K, Timens W, Bossé Y, Sin DD, Obeidat M, Amos CI, Hung RJ. Informed genome-wide association analysis with family history as a secondary phenotype identifies novel loci of lung cancer. Genet Epidemiol 2015; 39:197-206. [PMID: 25644374 PMCID: PMC4554719 DOI: 10.1002/gepi.21882] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 12/02/2014] [Accepted: 12/02/2014] [Indexed: 01/05/2023]
Abstract
Lung cancer is the leading cause of cancer death worldwide. Although several genetic variants associated with lung cancer have been identified in the past, stringent selection criteria of genome-wide association studies (GWAS) can lead to missed variants. The objective of this study was to uncover missed variants by using the known association between lung cancer and first-degree family history of lung cancer to enrich the variant prioritization for lung cancer susceptibility regions. In this two-stage GWAS study, we first selected a list of variants associated with both lung cancer and family history of lung cancer in four GWAS (3,953 cases, 4,730 controls), then replicated our findings for 30 variants in a meta-analysis of four additional studies (7,510 cases, 7,476 controls). The top ranked genetic variant rs12415204 in chr10q23.33 encoding FFAR4 in the Discovery set was validated in the Replication set with an overall OR of 1.09 (95% CI=1.04, 1.14, P=1.63×10(-4)). When combining the two stages of the study, the strongest association was found in rs1158970 at Ch4p15.2 encoding KCNIP4 with an OR of 0.89 (95% CI=0.85, 0.94, P=9.64×10(-6)). We performed a stratified analysis of rs12415204 and rs1158970 across all eight studies by age, gender, smoking status, and histology, and found consistent results across strata. Four of the 30 replicated variants act as expression quantitative trait loci (eQTL) sites in 1,111 nontumor lung tissues and meet the genome-wide 10% FDR threshold.
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Affiliation(s)
- Julia G. Poirier
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - James D. McKay
- International Agency for Research on Cancer, Lyon, France
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - Angela Risch
- Division of Epigenomics and Cancer Risk Factors, DKFZ, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Geoffrey Liu
- Princess Margaret Hospital, Toronto, Ontario, Canada
| | - Loic Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Shelley Tworoger
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | | | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - Joachim Heinrich
- Helmholtz Centre Munich, German Research Centre for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany
| | - Irene Brüske
- Helmholtz Centre Munich, German Research Centre for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany
| | - Thomas Muley
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Translational Research Unit, Thoraxklinik at the University of Heidelberg, Heidelberg, Germany
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Lynne R. Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Yafang Li
- Dartmouth Medical College, Hanover, New Hampshire, United States of America
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Respiratory Medicine, Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Wim Timens
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Laval University, Québec, Canada
| | - Don D. Sin
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ma’en Obeidat
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
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26
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Zong X, Zhu R. An electric-field assisted growth control methodology for integrating ZnO nanorods with microstructures. Nanoscale 2014; 6:12732-12739. [PMID: 25219487 DOI: 10.1039/c4nr03184a] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
The growth control of ZnO nanorods bridging over two microelectrodes in a three-electrode structure (the top cathode and anode, and the bottom gate) was realized using a wet chemical method with the assistance of an electric field generated by applying AC sine wave power on the top electrodes and a DC voltage on the bottom gate. A numerical control model for controlling the growth position, direction and density of ZnO nanorods on the microstructure was established based on the simulation of the electric-field distribution around the microstructures. The three input parameters in the numerical control model were defined as the peak-to-peak voltage of the AC sine wave (x1), the frequency of the AC sine wave (x2) and gate voltage (x3). Moreover, five output parameters (y1, y2, y3, y4, y5) in the model were defined as the electric field intensities at specific points on the electrodes to characterize the growth rate, direction, position and morphology of the ZnO nanorods integrated with the microelectrodes. The relationship between the defined outputs and inputs were established using 3(rd) polynomial fitting, which served as the numerical control model for the prediction of nanorod growth. The experimental results validated that growth control methodology provides us with an effective approach to integrate ZnO nanorods into devices.
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Affiliation(s)
- X Zong
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
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27
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Katich J, Qian X, Zhao YX, Allada K, Aniol K, Annand JRM, Averett T, Benmokhtar F, Bertozzi W, Bradshaw PC, Bosted P, Camsonne A, Canan M, Cates GD, Chen C, Chen JP, Chen W, Chirapatpimol K, Chudakov E, Cisbani E, Cornejo JC, Cusanno F, Dalton MM, Deconinck W, de Jager CW, De Leo R, Deng X, Deur A, Ding H, Dolph PAM, Dutta C, Dutta D, El Fassi L, Frullani S, Gao H, Garibaldi F, Gaskell D, Gilad S, Gilman R, Glamazdin O, Golge S, Guo L, Hamilton D, Hansen O, Higinbotham DW, Holmstrom T, Huang J, Huang M, Ibrahim HF, Iodice M, Jiang X, Jin G, Jones MK, Kelleher A, Kim W, Kolarkar A, Korsch W, LeRose JJ, Li X, Li Y, Lindgren R, Liyanage N, Long E, Lu HJ, Margaziotis DJ, Markowitz P, Marrone S, McNulty D, Meziani ZE, Michaels R, Moffit B, Muñoz Camacho C, Nanda S, Narayan A, Nelyubin V, Norum B, Oh Y, Osipenko M, Parno D, Peng JC, Phillips SK, Posik M, Puckett AJR, Qiang Y, Rakhman A, Ransome RD, Riordan S, Saha A, Sawatzky B, Schulte E, Shahinyan A, Shabestari MH, Širca S, Stepanyan S, Subedi R, Sulkosky V, Tang LG, Tobias A, Urciuoli GM, Vilardi I, Wang K, Wang Y, Wojtsekhowski B, Yan X, Yao H, Ye Y, Ye Z, Yuan L, Zhan X, Zhang Y, Zhang YW, Zhao B, Zheng X, Zhu L, Zhu X, Zong X. Measurement of the target-normal single-spin asymmetry in deep-inelastic scattering from the reaction (3)He(↑)(e,e')X. Phys Rev Lett 2014; 113:022502. [PMID: 25062169 DOI: 10.1103/physrevlett.113.022502] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2013] [Indexed: 06/03/2023]
Abstract
We report the first measurement of the target-normal single-spin asymmetry in deep-inelastic scattering from the inclusive reaction 3)He(↑)(e,e')X on a polarized (3)He gas target. Assuming time-reversal invariance, this asymmetry is strictly zero in the Born approximation but can be nonzero if two-photon-exchange contributions are included. The experiment, conducted at Jefferson Lab using a 5.89 GeV electron beam, covers a range of 1.7<W<2.9 GeV, 1.0<Q(2)<4.0 GeV(2) and 0.16<x<0.65. Neutron asymmetries were extracted using the effective nucleon polarization and measured proton-to-(3)He cross-section ratios. The measured neutron asymmetries are negative with an average value of (-1.09±0.38)×10(-2) for invariant mass W>2 GeV, which is nonzero at the 2.89σ level. Our measured asymmetry agrees both in sign and magnitude with a two-photon-exchange model prediction that uses input from the Sivers transverse momentum distribution obtained from semi-inclusive deep-inelastic scattering.
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Affiliation(s)
- J Katich
- College of William and Mary, Williamsburg, Virginia 23187, USA and University of Colorado, Boulder, Colorado 80309, USA
| | - X Qian
- Duke University, Durham, North Carolina 27708, USA and Kellogg Radiation Laboratory, California Institute of Technology, Pasadena, California 91125, USA and Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y X Zhao
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Allada
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J R M Annand
- University of Glasgow, Glasgow G12 8QQ, Scotland, United Kingdom
| | - T Averett
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - F Benmokhtar
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - W Bertozzi
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - P C Bradshaw
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - P Bosted
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Canan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - G D Cates
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23187, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Chen
- Duke University, Durham, North Carolina 27708, USA
| | - K Chirapatpimol
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - E Chudakov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Cisbani
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - J C Cornejo
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - F Cusanno
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - M M Dalton
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - W Deconinck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C W de Jager
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and University of Virginia, Charlottesville, Virginia 22904, USA
| | - R De Leo
- INFN, Sezione di Bari and University of Bari, I-70126 Bari, Italy
| | - X Deng
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Ding
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - P A M Dolph
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Dutta
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Minnesota 39762, USA
| | - L El Fassi
- Old Dominion University, Norfolk, Virginia 23529, USA and Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - S Frullani
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - H Gao
- Duke University, Durham, North Carolina 27708, USA
| | - F Garibaldi
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Gilad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Gilman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - S Golge
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Guo
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D Hamilton
- University of Glasgow, Glasgow G12 8QQ, Scotland, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Longwood University, Farmville, Virginia 23909, USA
| | - J Huang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M Huang
- Duke University, Durham, North Carolina 27708, USA
| | | | - M Iodice
- INFN, Sezione di Roma3, I-00146 Rome, Italy
| | - X Jiang
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA and Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - G Jin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M K Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kelleher
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - W Kim
- Kyungpook National University, Taegu 702-701, Republic of Korea
| | - A Kolarkar
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - W Korsch
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - J J LeRose
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Li
- China Institute of Atomic Energy, Beijing, People's Republic of China
| | - Y Li
- China Institute of Atomic Energy, Beijing, People's Republic of China
| | - R Lindgren
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - E Long
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - H-J Lu
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D J Margaziotis
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - S Marrone
- INFN, Sezione di Bari and University of Bari, I-70126 Bari, Italy
| | - D McNulty
- University of Massachusetts, Amherst, Massachusetts 01003, USA
| | - Z-E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Moffit
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - S Nanda
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Narayan
- Mississippi State University, Mississippi State, Minnesota 39762, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Norum
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Oh
- Seoul National University, Seoul, 151-747, Republic of Korea
| | - M Osipenko
- INFN, Sezione di Genova, I-16146 Genova, Italy
| | - D Parno
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - J C Peng
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - S K Phillips
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A J R Puckett
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA and Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - Y Qiang
- Duke University, Durham, North Carolina 27708, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Rakhman
- Syracuse University, Syracuse, New York 13244, USA
| | - R D Ransome
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - S Riordan
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Saha
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Temple University, Philadelphia, Pennsylvania 19122, USA
| | - E Schulte
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - A Shahinyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - M H Shabestari
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Širca
- University of Ljubljana, SI-1000 Ljubljana, Slovenia
| | - S Stepanyan
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - R Subedi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V Sulkosky
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L-G Tang
- Hampton University, Hampton, Virginia 23187, USA
| | - A Tobias
- University of Virginia, Charlottesville, Virginia 22904, USA
| | | | - I Vilardi
- INFN, Sezione di Bari and University of Bari, I-70126 Bari, Italy
| | - K Wang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Wang
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Yao
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - Y Ye
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z Ye
- Hampton University, Hampton, Virginia 23187, USA
| | - L Yuan
- Hampton University, Hampton, Virginia 23187, USA
| | - X Zhan
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Zhang
- Lanzhou University, Lanzhou 730000, Gansu, People's Republic of China
| | - Y-W Zhang
- Lanzhou University, Lanzhou 730000, Gansu, People's Republic of China
| | - B Zhao
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Zhu
- Hampton University, Hampton, Virginia 23187, USA and University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - X Zhu
- Duke University, Durham, North Carolina 27708, USA
| | - X Zong
- Duke University, Durham, North Carolina 27708, USA
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Wang Y, McKay JD, Rafnar T, Wang Z, Timofeeva M, Broderick P, Zong X, Laplana M, Wei Y, Han Y, Lloyd A, Delahaye-Sourdeix M, Chubb D, Gaborieau V, Wheeler W, Chatterjee N, Thorleifsson G, Sulem P, Liu G, Kaaks R, Henrion M, Kinnersley B, Vallée M, LeCalvez-Kelm F, Stevens VL, Gapstur SM, Chen WV, Zaridze D, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Krokan HE, Gabrielsen ME, Skorpen F, Vatten L, Njølstad I, Chen C, Goodman G, Benhamou S, Vooder T, Valk K, Nelis M, Metspalu A, Lener M, Lubiński J, Johansson M, Vineis P, Agudo A, Clavel-Chapelon F, Bueno-de-Mesquita H, Trichopoulos D, Khaw KT, Johansson M, Weiderpass E, Tjønneland A, Riboli E, Lathrop M, Scelo G, Albanes D, Caporaso NE, Ye Y, Gu J, Wu X, Spitz MR, Dienemann H, Rosenberger A, Su L, Matakidou A, Eisen T, Stefansson K, Risch A, Chanock SJ, Christiani DC, Hung RJ, Brennan P, Landi MT, Houlston RS, Amos CI. Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nat Genet 2014; 46:736-41. [PMID: 24880342 PMCID: PMC4074058 DOI: 10.1038/ng.3002] [Citation(s) in RCA: 311] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Accepted: 05/08/2014] [Indexed: 12/16/2022]
Abstract
We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 × 10(-20)) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 × 10(-13)). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 × 10(-10)) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.
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Affiliation(s)
- Yufei Wang
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - James D. McKay
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Thorunn Rafnar
- deCODE genetics/Amgen, Sturlugata 8, 101 Reykjavik, Iceland
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Maria Timofeeva
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital. Toronto, Canada
| | - Marina Laplana
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Yongyue Wei
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, 617-432-1641, USA
| | - Younghun Han
- Center for Genomic Medicine Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, 46 Centerra Parkway, Suite 330, Lebanon, NH 03766
| | - Amy Lloyd
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | | | - Daniel Chubb
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Valerie Gaborieau
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - William Wheeler
- Information Management Services, Inc., Rockville, MD 20852, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | | | - Patrick Sulem
- deCODE genetics/Amgen, Sturlugata 8, 101 Reykjavik, Iceland
| | - Geoffrey Liu
- Princess Margaret Hospital, University Health Network, Toronto, Canada
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Marc Henrion
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Maxime Vallée
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Victoria L. Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30301, USA
| | - Susan M. Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30301, USA
| | - Wei V. Chen
- Department of Genetics, U.T. M.D. Anderson Cancer Center, Houston, TX 77030
| | - David Zaridze
- Institute of Carcinogenesis, Russian N.N. Blokhin Cancer Research Centre, 115478 Moscow, Russia
| | | | - Jolanta Lissowska
- The M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02781, Poland
| | - Peter Rudnai
- National Institute of Environmental Health, Budapest 1097, Hungary
| | - Eleonora Fabianova
- Regional Authority of Public Health, Banska’ Bystrica 97556, Slovak Republic
| | - Dana Mates
- National Institute of Public Health, Bucharest 050463, Romania
| | - Vladimir Bencko
- 1st Faculty of Medicine, Institute of Hygiene and Epidemiology, Charles University in Prague, 12800 Prague 2, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno 65653, Czech Republic
| | | | - Hans E. Krokan
- Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7489, Norway
| | - Maiken Elvestad Gabrielsen
- Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7489, Norway
| | - Frank Skorpen
- Department of Laboratory Medicine, Children’s and Women’s Health, Faculty of Medicine
| | - Lars Vatten
- Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7489, Norway
| | - Inger Njølstad
- Department of Community Medicine, University of Tromso, Tromso 9037, Norway
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Gary Goodman
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - Tonu Vooder
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Kristjan Valk
- Competence Centre on Reproductive Medicine and Biology, 50410 Tartu, Estonia
| | - Mari Nelis
- Estonian Genome Center, Institute of Molecular and Cell Biology, Tartu 51010, Estonia
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Andres Metspalu
- Estonian Genome Center, Institute of Molecular and Cell Biology, Tartu 51010, Estonia
| | - Marcin Lener
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- HuGeF Foundation, Torino, Italy
| | - Antonio Agudo
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Francoise Clavel-Chapelon
- INSERM, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health team, F-94805, Villejuif, France
- Université Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
| | - H.Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | - Dimitrios Trichopoulos
- Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
- Bureau of Epidemiologic Research, Academy of Athens, 23 Alexandroupoleos Street, Athens, GR-115 27, Greece
- Hellenic Health Foundation, 13 Kaisareias Street, Athens, GR-115 27, Greece
| | - Kay-Tee Khaw
- University of Cambridge School of Clinical Medicine, Clinical Gerontology Unit Box 251, Addenbrooke’s Hospital, Cambridge CB2 2QQ, UK
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå universitet, SE-901 87 Umeå, Sverige, Sweden
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK 2100 Copenhagen Ø, Denmark
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Mark Lathrop
- Centre d’Etude du Polymorphisme Humain (CEPH), Paris 75010, France
| | - Ghislaine Scelo
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Yuanqing Ye
- Department of Epidemiology, U.T. M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Jian Gu
- Department of Epidemiology, U.T. M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Xifeng Wu
- Department of Epidemiology, U.T. M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Margaret R. Spitz
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hendrik Dienemann
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Thoracic Surgery, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University of Göttingen, Göttingen, Germany
| | - Li Su
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, 617-432-1641, USA
| | - Athena Matakidou
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - Timothy Eisen
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Addenbrooke’s Hospital, Cambridge Biomedical Campus, Hill’s Road Cambridge CB2 0QQ, UK
| | | | - Angela Risch
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - David C. Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, 617-432-1641, USA
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital. Toronto, Canada
| | - Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Christopher I. Amos
- Center for Genomic Medicine Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, 46 Centerra Parkway, Suite 330, Lebanon, NH 03766
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Huang J, Allada K, Dutta C, Katich J, Qian X, Wang Y, Zhang Y, Aniol K, Annand JRM, Averett T, Benmokhtar F, Bertozzi W, Bradshaw PC, Bosted P, Camsonne A, Canan M, Cates GD, Chen C, Chen JP, Chen W, Chirapatpimol K, Chudakov E, Cisbani E, Cornejo JC, Cusanno F, Dalton MM, Deconinck W, de Jager CW, De Leo R, Deng X, Deur A, Ding H, Dolph PAM, Dutta D, El Fassi L, Frullani S, Gao H, Garibaldi F, Gaskell D, Gilad S, Gilman R, Glamazdin O, Golge S, Guo L, Hamilton D, Hansen O, Higinbotham DW, Holmstrom T, Huang M, Ibrahim HF, Iodice M, Jiang X, Jin G, Jones MK, Kelleher A, Kim W, Kolarkar A, Korsch W, Lerose JJ, Li X, Li Y, Lindgren R, Liyanage N, Long E, Lu HJ, Margaziotis DJ, Markowitz P, Marrone S, McNulty D, Meziani ZE, Michaels R, Moffit B, Muñoz Camacho C, Nanda S, Narayan A, Nelyubin V, Norum B, Oh Y, Osipenko M, Parno D, Peng JC, Phillips SK, Posik M, Puckett AJR, Qiang Y, Rakhman A, Ransome RD, Riordan S, Saha A, Sawatzky B, Schulte E, Shahinyan A, Shabestari MH, Sirca S, Stepanyan S, Subedi R, Sulkosky V, Tang LG, Tobias A, Urciuoli GM, Vilardi I, Wang K, Wojtsekhowski B, Yan X, Yao H, Ye Y, Ye Z, Yuan L, Zhan X, Zhang YW, Zhao B, Zheng X, Zhu L, Zhu X, Zong X. Beam-target double-spin asymmetry A{LT} in charged pion production from deep inelastic scattering on a transversely polarized {3}He target at 1.4<Q{2}<2.7 GeV{2}. Phys Rev Lett 2012; 108:052001. [PMID: 22400926 DOI: 10.1103/physrevlett.108.052001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2011] [Indexed: 05/31/2023]
Abstract
We report the first measurement of the double-spin asymmetry A{LT} for charged pion electroproduction in semi-inclusive deep-inelastic electron scattering on a transversely polarized {3}He target. The kinematics focused on the valence quark region, 0.16<x<0.35 with 1.4<Q{2}<2.7 GeV{2}. The corresponding neutron A{LT} asymmetries were extracted from the measured {3}He asymmetries and proton over {3}He cross section ratios using the effective polarization approximation. These new data probe the transverse momentum dependent parton distribution function g{1T}{q} and therefore provide access to quark spin-orbit correlations. Our results indicate a positive azimuthal asymmetry for π{-} production on {3}He and the neutron, while our π{+} asymmetries are consistent with zero.
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Affiliation(s)
- J Huang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
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Qian X, Allada K, Dutta C, Huang J, Katich J, Wang Y, Zhang Y, Aniol K, Annand JRM, Averett T, Benmokhtar F, Bertozzi W, Bradshaw PC, Bosted P, Camsonne A, Canan M, Cates GD, Chen C, Chen JP, Chen W, Chirapatpimol K, Chudakov E, Cisbani E, Cornejo JC, Cusanno F, Dalton MM, Deconinck W, de Jager CW, De Leo R, Deng X, Deur A, Ding H, Dolph PAM, Dutta D, El Fassi L, Frullani S, Gao H, Garibaldi F, Gaskell D, Gilad S, Gilman R, Glamazdin O, Golge S, Guo L, Hamilton D, Hansen O, Higinbotham DW, Holmstrom T, Huang M, Ibrahim HF, Iodice M, Jiang X, Jin G, Jones MK, Kelleher A, Kim W, Kolarkar A, Korsch W, LeRose JJ, Li X, Li Y, Lindgren R, Liyanage N, Long E, Lu HJ, Margaziotis DJ, Markowitz P, Marrone S, McNulty D, Meziani ZE, Michaels R, Moffit B, Camacho CM, Nanda S, Narayan A, Nelyubin V, Norum B, Oh Y, Osipenko M, Parno D, Peng JC, Phillips SK, Posik M, Puckett AJR, Qiang Y, Rakhman A, Ransome RD, Riordan S, Saha A, Sawatzky B, Schulte E, Shahinyan A, Shabestari MH, Sirca S, Stepanyan S, Subedi R, Sulkosky V, Tang LG, Tobias A, Urciuoli GM, Vilardi I, Wang K, Wojtsekhowski B, Yan X, Yao H, Ye Y, Ye Z, Yuan L, Zhan X, Zhang YW, Zhao B, Zheng X, Zhu L, Zhu X, Zong X. Single spin asymmetries in charged pion production from semi-inclusive deep inelastic scattering on a transversely polarized 3He Target at Q2 = 1.4-2.7 GeV2. Phys Rev Lett 2011; 107:072003. [PMID: 21902386 DOI: 10.1103/physrevlett.107.072003] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Indexed: 05/31/2023]
Abstract
We report the first measurement of target single spin asymmetries in the semi-inclusive (3)He(e,e'π(±))X reaction on a transversely polarized target. The experiment, conducted at Jefferson Lab using a 5.9 GeV electron beam, covers a range of 0.16 < x < 0.35 with 1.4 < Q(2) < 2.7 GeV(2). The Collins and Sivers moments were extracted from the azimuthal angular dependence of the measured asymmetries. The π(±) Collins moments for (3)He are consistent with zero, except for the π(+) moment at x = 0.35, which deviates from zero by 2.3σ. While the π(-) Sivers moments are consistent with zero, the π(+) Sivers moments favor negative values. The neutron results were extracted using the nucleon effective polarization and measured cross section ratios of proton to (3)He, and are largely consistent with the predictions of phenomenological fits and quark model calculations.
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Affiliation(s)
- X Qian
- Duke University, Durham, North Carolina 27708, USA.
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Bae-Jump V, Yin C, Zong X, Van Dyke T. Development of a preclinical serous ovarian cancer mouse model. Gynecol Oncol 2011. [DOI: 10.1016/j.ygyno.2010.12.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Adare A, Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Al-Bataineh H, Alexander J, Al-Jamel A, Aoki K, Aphecetche L, Armendariz R, Aronson SH, Asai J, Atomssa ET, Averbeck R, Awes TC, Azmoun B, Babintsev V, Baksay G, Baksay L, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bauer F, Bazilevsky A, Belikov S, Bennett R, Berdnikov Y, Bickley AA, Bjorndal MT, Boissevain JG, Borel H, Boyle K, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Campbell S, Chai JS, Chand P, Chang BS, Chang WC, Charvet JL, Chernichenko S, Chiba J, Chi CY, Chiu M, Choi IJ, Choudhury RK, Chujo T, Chung P, Churyn A, Cianciolo V, Cleven CR, Cobigo Y, Cole BA, Comets MP, Constantin P, Csanád M, Csörgo T, Cussonneau JP, Dahms T, Das K, David G, Deák F, Deaton MB, Dehmelt K, Delagrange H, Denisov A, d'Enterria D, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Dion A, Donadelli M, Drachenberg JL, Drapier O, Drees A, Dubey AK, Durum A, Dutta D, Dzhordzhadze V, Efremenko YV, Egdemir J, Ellinghaus F, Emam WS, Enokizono A, En'yo H, Espagnon B, Esumi S, Eyser KO, Fields DE, Finck C, Finger M, Finger M, Fleuret F, Fokin SL, Forestier B, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fujiwara K, Fukao Y, Fung SY, Fusayasu T, Gadrat S, Garishvili I, Gastineau F, Germain M, Glenn A, Gong H, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Grosse Perdekamp M, Gunji T, Gustafsson HA, Hachiya T, Hadj Henni A, Haegemann C, Haggerty JS, Hagiwara MN, Hamagaki H, Han R, Hansen AG, Harada H, Hartouni EP, Haruna K, Harvey M, Haslum E, Hasuko K, Hayano R, Heffner M, Hemmick TK, Hester T, Heuser JM, He X, Hidas P, Hiejima H, Hill JC, Hobbs R, Hohlmann M, Holmes M, Holzmann W, Homma K, Hong B, Hoover A, Horaguchi T, Hornback D, Hur MG, Ichihara T, Ikonnikov VV, Imai K, Inaba M, Inoue Y, Inuzuka M, Isenhower D, Isenhower L, Ishihara M, Isobe T, Issah M, Isupov A, Jacak BV, Jia J, Jin J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kajihara F, Kametani S, Kamihara N, Kamin J, Kaneta M, Kang JH, Kanou H, Katou K, Kawabata T, Kawagishi T, Kawall D, Kazantsev AV, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DH, Kim DJ, Kim E, Kim GB, Kim HJ, Kim YS, Kinney E, Kiss A, Kistenev E, Kiyomichi A, Klay J, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Kohara R, Komkov B, Konno M, Kotchetkov D, Kozlov A, Král A, Kravitz A, Kroon PJ, Kubart J, Kuberg CH, Kunde GJ, Kurihara N, Kurita K, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lai YS, Lajoie JG, Lebedev A, Le Bornec Y, Leckey S, Lee DM, Lee MK, Lee T, Leitch MJ, Leite MAL, Lenzi B, Lim H, Liska T, Litvinenko A, Liu MX, Li X, Li XH, Love B, Lynch D, Maguire CF, Makdisi YI, Malakhov A, Malik MD, Manko VI, Mao Y, Martinez G, Masek L, Masui H, Matathias F, Matsumoto T, McCain MC, McCumber M, McGaughey PL, Miake Y, Mikes P, Miki K, Miller TE, Milov A, Mioduszewski S, Mishra GC, Mishra M, Mitchell JT, Mitrovski M, Mohanty AK, Morreale A, Morrison DP, Moss JM, Moukhanova TV, Mukhopadhyay D, Muniruzzaman M, Murata J, Nagamiya S, Nagata Y, Nagle JL, Naglis M, Nakagawa I, Nakamiya Y, Nakamura T, Nakano K, Newby J, Nguyen M, Norman BE, Nyanin AS, Nystrand J, O'Brien E, Oda SX, Ogilvie CA, Ohnishi H, Ojha ID, Okada H, Okada K, Oka M, Omiwade OO, Oskarsson A, Otterlund I, Ouchida M, Oyama K, Ozawa K, Pak R, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Park WJ, Pate SF, Pei H, Penev V, Peng JC, Pereira H, Peresedov V, Peressounko DY, Pierson A, Pinkenburg C, Pisani RP, Purschke ML, Purwar AK, Qualls JM, Qu H, Rak J, Rakotozafindrabe A, Ravinovich I, Read KF, Rembeczki S, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosendahl SSE, Rosnet P, Rukoyatkin P, Rykov VL, Ryu SS, Sahlmueller B, Saito N, Sakaguchi T, Sakai S, Sakata H, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Seele J, Seidl R, Semenov V, Seto R, Sharma D, Shea TK, Shein I, Shevel A, Shibata TA, Shigaki K, Shimomura M, Shohjoh T, Shoji K, Sickles A, Silva CL, Silvermyr D, Silvestre C, Sim KS, Singh CP, Singh V, Skutnik S, Slunecka M, Smith WC, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Suire C, Sullivan JP, Sziklai J, Tabaru T, Takagi S, Takagui EM, Taketani A, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Thomas TL, Togawa M, Toia A, Tojo J, Tomásek L, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tuli SK, Tydesjö H, Tyurin N, Uam TJ, Vale C, Valle H, vanHecke HW, Velkovska J, Velkovsky M, Vertesi R, Veszprémi V, Vinogradov AA, Virius M, Volkov MA, Vrba V, Vznuzdaev E, Wagner M, Walker D, Wang XR, Watanabe Y, Wessels J, White SN, Willis N, Winter D, Wohn FK, Woody CL, Wysocki M, Xie W, Yamaguchi YL, Yanovich A, Yasin Z, Ying J, Yokkaichi S, Young GR, Younus I, Yushmanov IE, Zajc WA, Zaudtke O, Zhang C, Zhou S, Zimányi J, Zolin L, Zong X. System size and energy dependence of jet-induced hadron pair correlation shapes in Cu+Cu and Au+Au collisions at square root sNN=200 and 62.4 GeV. Phys Rev Lett 2007; 98:232302. [PMID: 17677902 DOI: 10.1103/physrevlett.98.232302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2006] [Indexed: 05/16/2023]
Abstract
We present azimuthal angle correlations of intermediate transverse momentum (1-4 GeV/c) hadrons from dijets in Cu+Cu and Au+Au collisions at square root sNN=62.4 and 200 GeV. The away-side dijet induced azimuthal correlation is broadened, non-Gaussian, and peaked away from Delta phi=pi in central and semicentral collisions in all the systems. The broadening and peak location are found to depend upon the number of participants in the collision, but not on the collision energy or beam nuclei. These results are consistent with sound or shock wave models, but pose challenges to Cherenkov gluon radiation models.
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Affiliation(s)
- A Adare
- University of Colorado, Boulder, Colorado 80309, USA
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Al-Jamel A, Alexander J, Aoki K, Aphecetche L, Armendariz R, Aronson SH, Averbeck R, Awes TC, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bauer F, Bazilevsky A, Belikov S, Bjorndal MT, Boissevain JG, Borel H, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Comets MP, Constantin P, Csanád M, Csörgo T, Cussonneau JP, d'Enterria D, Das K, David G, Deák F, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drachenberg JL, Drapier O, Drees A, Durum A, Dutta D, Dzhordzhadze V, Efremenko YV, En'yo H, Espagnon B, Esumi S, Fields DE, Finck C, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fukao Y, Fung SY, Gadrat S, Germain M, Glenn A, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Perdekamp MG, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hasuko K, Hayano R, He X, Heffner M, Hemmick TK, Heuser JM, Hidas P, Hiejima H, Hill JC, Hobbs R, Holzmann W, Homma K, Hong B, Hoover A, Horaguchi T, Ichihara T, Ikonnikov VV, Imai K, Inaba M, Inuzuka M, Isenhower D, Isenhower L, Ishihara M, Issah M, Isupov A, Jacak BV, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kajihara F, Kametani S, Kamihara N, Kaneta M, Kang JH, Katou K, Kawabata T, Kazantsev AV, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DJ, Kim E, Kim GB, Kim HJ, Kinney E, Kiss A, Kistenev E, Kiyomichi A, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Kohara R, Komkov B, Konno M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kunde GJ, Kurita K, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lajoie JG, Le Bornec Y, Lebedev A, Leckey S, Lee DM, Leitch MJ, Leite MAL, Li XH, Lim H, Litvinenko A, Liu MX, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Masui H, Matathias F, Matsumoto T, McCain MC, McGaughey PL, Miake Y, Miller TE, Milov A, Mioduszewski S, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mukhopadhyay D, Muniruzzaman M, Nagamiya S, Nagle JL, Nakamura T, Newby J, Nyanin AS, Nystrand J, O'brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada H, Okada K, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Park WJ, Pate SF, Pei H, Penev V, Peng JC, Pereira H, Peresedov V, Pierson A, Pinkenburg C, Pisani RP, Purschke ML, Purwar AK, Qualls JM, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosendahl SSE, Rosnet P, Rykov VL, Ryu SS, Saito N, Sakaguchi T, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shea TK, Shein I, Shibata TA, Shigaki K, Shimomura M, Sickles A, Silva CL, Silvermyr D, Sim KS, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagi S, Takagui EM, Taketani A, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Thomas TL, Togawa M, Tojo J, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tydesjö H, Tyurin N, Uam TJ, Velkovska J, Velkovsky M, Veszprémi V, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Willis N, Wohn FK, Woody CL, Xie W, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zaudtke O, Zhang C, Zhou S, Zimányi J, Zolin L, Zong X, Van Hecke HW. Measurement of direct photon production in p+p collisions at sqrt[s] = 200 GeV. Phys Rev Lett 2007; 98:012002. [PMID: 17358469 DOI: 10.1103/physrevlett.98.012002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2006] [Indexed: 05/14/2023]
Abstract
Cross sections for midrapidity production of direct photons in p+p collisions at the Relativistic Heavy Ion Collider (RHIC) are reported for transverse momenta of 3 < pT < 16 GeV/c. Next-to-leading order perturbative QCD (pQCD) describes the data well for pT >5 GeV/c, where the uncertainties of the measurement and theory are comparable. We also report on the effect of requiring the photons to be isolated from parton jet energy. The observed fraction of isolated photons is well described by pQCD for pT >7 GeV/c.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, NY 11973-5000, USA
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Al-Jamel A, Alexander J, Aoki K, Aphecetche L, Armendariz R, Aronson SH, Averbeck R, Awes TC, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bauer F, Bazilevsky A, Belikov S, Bjorndal MT, Boissevain JG, Borel H, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Comets MP, Constantin P, Csanád M, Csörgo T, Cussonneau JP, d'Enterria D, Das K, David G, Deák F, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drachenberg JL, Drapier O, Drees A, Durum A, Dutta D, Dzhordzhadze V, Efremenko YV, En'yo H, Espagnon B, Esumi S, Fields DE, Finck C, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fukao Y, Fung SY, Gadrat S, Germain M, Glenn A, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Perdekamp MG, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hasuko K, Hayano R, He X, Heffner M, Hemmick TK, Heuser JM, Hidas P, Hiejima H, Hill JC, Hobbs R, Holzmann W, Homma K, Hong B, Hoover A, Horaguchi T, Ichihara T, Ikonnikov VV, Imai K, Inaba M, Inuzuka M, Isenhower D, Isenhower L, Ishihara M, Issah M, Isupov A, Jacak BV, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kajihara F, Kametani S, Kamihara N, Kaneta M, Kang JH, Katou K, Kawabata T, Kazantsev AV, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DJ, Kim E, Kim GB, Kim HJ, Kinney E, Kiss A, Kistenev E, Kiyomichi A, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Kohara R, Komkov B, Konno M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kunde GJ, Kurita K, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lajoie JG, Le Bornec Y, Lebedev A, Leckey S, Lee DM, Leitch MJ, Leite MAL, Li XH, Lim H, Litvinenko A, Liu MX, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Masui H, Matathias F, Matsumoto T, McCain MC, McGaughey PL, Miake Y, Miller TE, Milov A, Mioduszewski S, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mukhopadhyay D, Muniruzzaman M, Nagamiya S, Nagle JL, Nakamura T, Newby J, Nyanin AS, Nystrand J, O'Brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada H, Okada K, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Park WJ, Pate SF, Pei H, Penev V, Peng JC, Pereira H, Peresedov V, Pierson A, Pinkenburg C, Pisani RP, Purschke ML, Purwar AK, Qualls JM, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosendahl SSE, Rosnet P, Rykov VL, Ryu SS, Saito N, Sakaguchi T, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shea TK, Shein I, Shibata TA, Shigaki K, Shimomura M, Sickles A, Silva CL, Silvermyr D, Sim KS, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagi S, Takagui EM, Taketani A, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Thomas TL, Togawa M, Tojo J, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tydesjö H, Tyurin N, Uam TJ, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Willis N, Wohn FK, Woody CL, Xie W, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zhang C, Zhou S, Zimányi J, Zolin L, Zong X. Azimuthal angle correlations for rapidity separated Hadron pairs in d+Au collisions at square root of sNN=200 GeV. Phys Rev Lett 2006; 96:222301. [PMID: 16803304 DOI: 10.1103/physrevlett.96.222301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2006] [Indexed: 05/10/2023]
Abstract
Deuteron-gold (d+Au) collisions at the Relativistic Heavy Ion Collider provide ideal platforms for testing QCD theories in dense nuclear matter at high energy. In particular, models suggesting strong saturation effects for partons carrying small nucleon momentum fraction (x) predict modifications to jet production at forward rapidity (deuteron-going direction) in d+Au collisions. We report on two-particle azimuthal angle correlations between charged hadrons at forward/backward (deuteron/gold going direction) rapidity and charged hadrons at midrapidity in d+Au and p+p collisions at square root of sNN=200 GeV. Jet structures observed in the correlations are quantified in terms of the conditional yield and angular width of away-side partners. The kinematic region studied here samples partons in the gold nucleus with x~0.1 to ~0.01. Within this range, we find no x dependence of the jet structure in d+Au collisions.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Al-Jamel A, Alexander J, Aoki K, Aphecetche L, Armendariz R, Aronson SH, Atomssa ET, Averbeck R, Awes TC, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bauer F, Bazilevsky A, Belikov S, Bjorndal MT, Boissevain JG, Borel H, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Comets MP, Constantin P, Csanád M, Csörgo T, Cussonneau JP, d'Enterria D, Das K, David G, Deák F, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drachenberg JL, Drapier O, Drees A, Durum A, Dutta D, Dzhordzhadze V, Efremenko YV, En'yo H, Espagnon B, Esumi S, Fields DE, Finck C, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fukao Y, Fung SY, Gadrat S, Germain M, Glenn A, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Grosse Perdekamp M, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hasuko K, Hayano R, He X, Heffner M, Hemmick TK, Heuser JM, Hidas P, Hiejima H, Hill JC, Hobbs R, Holzmann W, Homma K, Hong B, Hoover A, Horaguchi T, Ichihara T, Ikonnikov VV, Imai K, Inaba M, Inuzuka M, Isenhower D, Isenhower L, Ishihara M, Issah M, Isupov A, Jacak BV, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kajihara F, Kametani S, Kamihara N, Kaneta M, Kang JH, Katou K, Kawabata T, Kazantsev AV, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DJ, Kim E, Kim GB, Kim HJ, Kinney E, Kiss A, Kistenev E, Kiyomichi A, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Kohara R, Komkov B, Konno M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kunde GJ, Kurita K, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lajoie JG, Le Bornec Y, Lebedev A, Leckey S, Lee DM, Leitch MJ, Leite MAL, Li XH, Lim H, Litvinenko A, Liu MX, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Masui H, Matathias F, Matsumoto T, McCain MC, McGaughey PL, Miake Y, Miller TE, Milov A, Mioduszewski S, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mukhopadhyay D, Muniruzzaman M, Nagamiya S, Nagle JL, Nakamura T, Newby J, Nyanin AS, Nystrand J, O'brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada H, Okada K, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Park WJ, Pate SF, Pei H, Penev V, Peng JC, Pereira H, Peresedov V, Pierson A, Pinkenburg C, Pisani RP, Purschke ML, Purwar AK, Qualls JM, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosendahl SSE, Rosnet P, Rykov VL, Ryu SS, Saito N, Sakaguchi T, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shea TK, Shein I, Shibata TA, Shigaki K, Shimomura M, Sickles A, Silva CL, Silvermyr D, Sim KS, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagi S, Takagui EM, Taketani A, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Thomas TL, Togawa M, Tojo J, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tydesjö H, Tyurin N, Uam TJ, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Willis N, Wohn FK, Woody CL, Xie W, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zhang C, Zhou S, Zimányi J, Zolin L, Zong X. J/psi production and nuclear effects for d + Au and p + p collisions at square root of S(NN) = 200 GeV. Phys Rev Lett 2006; 96:012304. [PMID: 16486446 DOI: 10.1103/physrevlett.96.012304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2005] [Indexed: 05/06/2023]
Abstract
J/psi production in d + Au and p + p collisions at square root of S(NN) = 200 GeV has been measured by the PHENIX experiment at rapidities -2.2 < y < +2.4. The cross sections and nuclear dependence of J/psi production versus rapidity, transverse momentum, and centrality are obtained and compared to lower energy p + A results and to theoretical models. The observed nuclear dependence in d + Au collisions is found to be modest, suggesting that the absorption in the final state is weak and the shadowing of the gluon distributions is small and consistent with Dokshitzer-Gribov-Lipatov-Altarelli-Parisi-based parametrizations that fit deep-inelastic scattering and Drell-Yan data at lower energies.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Johnston DC, Baek SH, Zong X, Borsa F, Schmalian J, Kondo S. Dynamics of magnetic defects in heavy fermion LiV2O4 from stretched exponential 7Li NMR relaxation. Phys Rev Lett 2005; 95:176408. [PMID: 16383848 DOI: 10.1103/physrevlett.95.176408] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2005] [Indexed: 05/05/2023]
Abstract
7Li NMR measurements on LiV2O4 from 0.5 to 4.2 K are reported. A small concentration of magnetic defects within the structure drastically changes the nuclear magnetization relaxation versus time from a pure exponential as in pure LiV2O4 to a stretched exponential, indicating glassy behavior of the magnetic defects. The stretched exponential function is described as arising from a distribution of 7Li nuclear spin-lattice relaxation rates and we present a model for the distribution in terms of the dynamics of the magnetic defects. Our results explain the origin of recent puzzling 7Li NMR literature data on LiV2O4 and our model is likely applicable to other glassy systems.
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Affiliation(s)
- D C Johnston
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Al-Jamel A, Alexander J, Aoki K, Aphecetche L, Armendariz R, Aronson SH, Averbeck R, Awes TC, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bauer F, Bazilevsky A, Belikov S, Bjorndal MT, Boissevain JG, Borel H, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Comets MP, Constantin P, Csanád M, Csörgo T, Cussonneau JP, d'Enterria D, Das K, David G, Deák F, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drachenberg JL, Drapier O, Drees A, Durum A, Dutta D, Dzhordzhadze V, Efremenko YV, En'yo H, Espagnon B, Esumi S, Fields DE, Finck C, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fukao Y, Fung SY, Gadrat S, Germain M, Glenn A, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Grosse Perdekamp M, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hasuko K, Hayano R, He X, Heffner M, Hemmick TK, Heuser JM, Hidas P, Hiejima H, Hill JC, Hobbs R, Holzmann W, Homma K, Hong B, Hoover A, Horaguchi T, Ichihara T, Ikonnikov VV, Imai K, Inaba M, Inuzuka M, Isenhower D, Isenhower L, Ishihara M, Issah M, Isupov A, Jacak BV, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kajihara F, Kametani S, Kamihara N, Kaneta M, Kang JH, Katou K, Kawabata T, Kazantsev A, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DJ, Kim E, Kim GB, Kim HJ, Kinney E, Kiss A, Kistenev E, Kiyomichi A, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Kohara R, Komkov B, Konno M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kunde GJ, Kurita K, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lajoie JG, Le Bornec Y, Lebedev A, Leckey S, Lee DM, Leitch MJ, Leite MAL, Li XH, Lim H, Litvinenko A, Liu MX, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Masui H, Matathias F, Matsumoto T, McCain MC, McGaughey PL, Miake Y, Miller TE, Milov A, Mioduszewski S, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mukhopadhyay D, Muniruzzaman M, Nagamiya S, Nagle JL, Nakamura T, Newby J, Nyanin AS, Nystrand J, O'Brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada H, Okada K, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Park WJ, Pate SF, Pei H, Penev V, Peng JC, Pereira H, Peresedov V, Pierson A, Pinkenburg C, Pisani RP, Purschke ML, Purwar AK, Qualls JM, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosendahl SSE, Rosnet P, Rykov VL, Ryu SS, Saito N, Sakaguchi T, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shea TK, Shein I, Shibata TA, Shigaki K, Shimomura M, Sickles A, Silva CL, Silvermyr D, Sim KS, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagi S, Takagui EM, Taketani A, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Thomas TL, Togawa M, Tojo J, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tydesjö H, Tyurin N, Uam TJ, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Willis N, Wohn FK, Woody CL, Xie W, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zhang C, Zhou S, Zimányi J, Zolin L, Zong X. Nuclear modification factors for hadrons at forward and backward rapidities in deuteron-gold collisions at sqrt[s(NN)]=200 GeV. Phys Rev Lett 2005; 94:082302. [PMID: 15783879 DOI: 10.1103/physrevlett.94.082302] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2004] [Indexed: 05/24/2023]
Abstract
We report on charged hadron production in deuteron-gold reactions at sqrt[s(NN)]=200 GeV. Our measurements in the deuteron direction cover 1.4<eta<2.2, referred to as forward rapidity, and in the gold direction -2.0<eta<-1.4, referred to as backward rapidity, and a transverse momentum range p(T)=0.5-4.0 GeV/c. We compare the relative yields for different deuteron-gold collision centrality classes. We observe a suppression relative to binary collision scaling at forward rapidity, sensitive to low momentum fraction (x) partons in the gold nucleus, and an enhancement at backward rapidity, sensitive to high momentum fraction partons in the gold nucleus.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Al-Jamel A, Alexander J, Aoki K, Aphecetche L, Armendariz R, Aronson SH, Averbeck R, Awes TC, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bauer F, Bazilevsky A, Belikov S, Bjorndal MT, Boissevain JG, Borel H, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Comets MP, Constantin P, Csanád M, Csörgo T, Cussonneau JP, d'Enterria D, Das K, David G, Deák F, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drachenberg JL, Drapier O, Drees A, Durum A, Dutta D, Dzhordzhadze V, Efremenko YV, En'yo H, Espagnon B, Esumi S, Fields DE, Finck C, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fukao Y, Fung SY, Gadrat S, Germain M, Glenn A, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Grosse Perdekamp M, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hasuko K, Hayano R, He X, Heffner M, Hemmick TK, Heuser JM, Hidas P, Hiejima H, Hill JC, Hobbs R, Holzmann W, Homma K, Hong B, Hoover A, Horaguchi T, Ichihara T, Ikonnikov VV, Imai K, Inaba M, Inuzuka M, Isenhower D, Isenhower L, Ishihara M, Issah M, Isupov A, Jacak BV, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kajihara F, Kametani S, Kamihara N, Kaneta M, Kang JH, Katou K, Kawabata T, Kazantsev A, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DJ, Kim E, Kim GB, Kim HJ, Kinney E, Kiss A, Kistenev E, Kiyomichi A, Klein-Boesing C, Kobayashi H, Kochetkov V, Kohara R, Komkov B, Konno M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kunde GJ, Kurita K, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lajoie JG, Le Bornec Y, Lebedev A, Leckey S, Lee DM, Leitch MJ, Leite MAL, Li X, Li XH, Lim H, Litvinenko A, Liu MX, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Masui H, Matathias F, Matsumoto T, McCain MC, McGaughey PL, Miake Y, Miller TE, Milov A, Mioduszewski S, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mukhopadhyay D, Muniruzzaman M, Nagamiya S, Nagle JL, Nakamura T, Newby J, Nyanin AS, Nystrand J, O'brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada H, Okada K, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Park WJ, Pate SF, Pei H, Penev V, Peng JC, Pereira H, Peresedov V, Pierson A, Pinkenburg C, Pisani RP, Purschke ML, Purwar AK, Qualls J, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosendahl S, Rosnet P, Rykov VL, Ryu SS, Saito N, Sakaguchi T, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shea TK, Shein I, Shibata TA, Shigaki K, Shimomura M, Sickles A, Silva CL, Silvermyr D, Sim KS, Soldatov A, Soltz RA, Sondheim WE, Sorensen S, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagi S, Takagui EM, Taketani A, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Thomas TL, Togawa M, Tojo J, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tydesjö H, Tyurin N, Uam TJ, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Willis N, Wohn FK, Woody CL, Xie W, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zaudtke O, Zhang C, Zhou S, Zimányi J, Zolin L, Zong X. Double helicity asymmetry in inclusive midrapidity pi0 production for polarized p+p collisions at square root s = 200 GeV. Phys Rev Lett 2004; 93:202002. [PMID: 15600917 DOI: 10.1103/physrevlett.93.202002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2004] [Indexed: 05/24/2023]
Abstract
We present a measurement of the double longitudinal spin asymmetry in inclusive pi(0) production in polarized proton-proton collisions at sqrt[s]=200 GeV. The data were taken at the Relativistic Heavy Ion Collider with average beam polarizations of 0.27. The measurements are the first in a program to study the longitudinal spin structure of the proton, using strongly interacting probes, at collider energies. The asymmetry is presented for transverse momenta 1-5 GeV/c at midrapidity, where next-to-leading-order perturbative quantum chromodynamic (NLO pQCD) calculations well describe the unpolarized cross section. The observed asymmetry is small and is compared to a NLO pQCD calculation with a range of polarized gluon distributions.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Al-Jamel A, Alexander J, Aoki K, Aphecetche L, Armendariz R, Aronson SH, Averbeck R, Awes TC, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bauer F, Bazilevsky A, Belikov S, Bjorndal MT, Boissevain JG, Borel H, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Comets MP, Constantin P, Csanád M, Csörgo T, Cussonneau JP, d'Enterria D, Das K, David G, Deák F, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drachenberg JL, Drapier O, Drees A, Durum A, Dutta D, Dzhordzhadze V, Efremenko YV, En'yo H, Espagnon B, Esumi S, Fields DE, Finck C, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fukao Y, Fung SY, Gadrat S, Germain M, Glenn A, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Grosse Perdekamp M, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hasuko K, Hayano R, He X, Heffner M, Hemmick TK, Heuser JM, Hidas P, Hiejima H, Hill JC, Hobbs R, Holzmann W, Homma K, Hong B, Hoover A, Horaguchi T, Ichihara T, Ikonnikov VV, Imai K, Inuzuka M, Isenhower D, Isenhower L, Issah M, Isupov A, Jacak BV, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kajihara F, Kametani S, Kamihara N, Kaneta M, Kang JH, Katou K, Kawabata T, Kazantsev A, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DJ, Kim E, Kim GB, Kim HJ, Kinney E, Kiss A, Kistenev E, Kiyomichi A, Klein-Boesing C, Kobayashi H, Kochetkov V, Kohara R, Komkov B, Konno M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kunde GJ, Kurita K, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lajoie JG, Le Bornec Y, Lebedev A, Leckey S, Lee DM, Leitch MJ, Leite MAL, Li X, Li XH, Lim H, Litvinenko A, Liu MX, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Masui H, Matathias F, Matsumoto T, McCain MC, McGaughey PL, Miake Y, Miller TE, Milov A, Mioduszewski S, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mukhopadhyay D, Muniruzzaman M, Nagamiya S, Nagle JL, Nakamura T, Newby J, Nyanin AS, Nystrand J, O'Brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada H, Okada K, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Park WJ, Pate SF, Pei H, Penev V, Peng JC, Pereira H, Peresedov V, Pierson A, Pinkenburg C, Pisani RP, Purschke ML, Purwar AK, Qualls J, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosendahl S, Rosnet P, Rykov VL, Ryu SS, Saito N, Sakaguchi T, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shea TK, Shein I, Shibata TA, Shigaki K, Shimomura M, Sickles A, Silva CL, Silvermyr D, Sim KS, Soldatov A, Soltz RA, Sondheim WE, Sorensen S, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagi S, Takagui EM, Taketani A, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Thomas TL, Togawa M, Tojo J, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tydesjö H, Tyurin N, Uam TJ, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Willis N, Wohn FK, Woody CL, Xie W, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zhang C, Zhou S, Zimányi J, Zolin L, Zong X. Absence of suppression in particle production at large transverse momentum in sqrt[s(NN)]=200 GeV d+Au collisions. Phys Rev Lett 2003; 91:072303. [PMID: 12935008 DOI: 10.1103/physrevlett.91.072303] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2003] [Indexed: 05/24/2023]
Abstract
Transverse momentum spectra of charged hadrons with p(T)<8 GeV/c and neutral pions with p(T)<10 GeV/c have been measured at midrapidity by the PHENIX experiment at BNL RHIC in d+Au collisions at sqrt[s(NN)]=200 GeV. The measured yields are compared to those in p+p collisions at the same sqrt[s(NN)] scaled up by the number of underlying nucleon-nucleon collisions in d+Au. The yield ratio does not show the suppression observed in central Au+Au collisions at RHIC. Instead, there is a small enhancement in the yield of high momentum particles.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Abstract
Spiral acquisitions are used in fast cardiac imaging because they traverse k-space efficiently and minimize flow artifacts. A variable pitch logarithmic spiral trajectory is designed to critically sample the low-frequency region in k-space and gradually undersample the high-frequency region. An approximate analytical expression for the trajectory provides a fast means to calculate the gradient waveforms and the sampled data points. A numerical method is introduced based on the trajectory curvature and the rate of change in the gradient magnitude with time for the composite Archimedean-logarithmic trajectory. The pulse sequence is implemented and images are acquired on phantoms and human hearts. The images show improved image resolution and some improvement in image quality as a result of increased extent in k-space and reduction in aliasing artifacts, respectively.
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Affiliation(s)
- H E Cline
- General Electric Corporate Research and Development, Schenectady, New York 12309, USA
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41
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Abstract
Hyperpolarization-activated cyclic nucleotide-gated (HCN) cation channels control the rhythmic activity of heart and neuronal networks. The activation of these channels is regulated in a complex manner by hormones and neurotransmitters. In addition it was suggested that the channels may be controlled by the pH of the cytosol. Here we demonstrate that HCN2, a member of the HCN channel family, is directly modulated by the intracellular pH in the physiological range. Protons inhibit HCN2 channels by shifting the voltage dependence of channel activation to more negative voltages. By using site-directed mutagenesis, we have identified a single histidine residue (His-321) localized at the boundary between the voltage-sensing S4 helix and the cytoplasmic S4-S5 linker of the channel that is a major determinant of pH sensitivity. Replacement of His-321 by either arginine, glutamine, or glutamate results in channels that are no longer sensitive to shifts in intracellular pH. In contrast, cAMP-mediated modulation is completely intact in mutant channels indicating that His-321 is not involved in the molecular mechanism that controls modulation of HCN channel activity by cyclic nucleotides. Because His-321 is conserved in all four HCN channels known so far, regulation by intracellular pH is likely to constitute a general feature of both cardiac and neuronal pacemaker channels.
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Affiliation(s)
- X Zong
- Institut für Pharmakologie und Toxikologie der Technischen Universität München, Biedersteiner Str. 29, 80802 München, Germany
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Moosmang S, Stieber J, Zong X, Biel M, Hofmann F, Ludwig A. Cellular expression and functional characterization of four hyperpolarization-activated pacemaker channels in cardiac and neuronal tissues. Eur J Biochem 2001; 268:1646-52. [PMID: 11248683 DOI: 10.1046/j.1432-1327.2001.02036.x] [Citation(s) in RCA: 353] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Hyperpolarization-activated cation currents (I(h)) have been identified in cardiac pacemaker cells and a variety of central and peripheral neurons. Four members of a gene family encoding hyperpolarization-activated, cyclic nucleotide-gated cation channels (HCN1--4) have been cloned recently. Native I(h) currents recorded from different cell types exhibit distinct activation kinetics. To determine if this diversity of I(h) currents may be caused by differential expression of HCN channel isoforms, we investigated the cellular distribution of the transcripts of HCN1--4 in the murine sinoatrial node, retina and dorsal root ganglion (DRG) by in situ hybridization. In the sinoatrial node, the most prominently expressed HCN channel is HCN4, whereas HCN2 and HCN1 are detected there at moderate and low levels, respectively. Retinal photoreceptors express high levels of HCN1, whereas HCN2, 3 and 4 were not found in these cells. In DRG neurons, the dominant HCN transcript is HCN1, followed by HCN2. We next determined the functional properties of recombinant HCN1--4 channels expressed in HEK293 cells. All four channel types gave rise to I(h) currents but displayed marked differences in their activation kinetics. Our results suggest that the heterogeneity of native I(h) currents is generated, at least in part, by the tissue-specific expression of HCN channel genes.
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Affiliation(s)
- S Moosmang
- Institut für Pharmakologie und Toxikologie, Technische Universität München, Germany
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Brown CH, Berndt D, Brinales JM, Zong X, Bhagwat D. Evaluating the evidence of effectiveness for preventive interventions: using a registry system to influence policy through science. Addict Behav 2000; 25:955-64. [PMID: 11125782 DOI: 10.1016/s0306-4603(00)00131-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In order to deal with the serious problems of drug use, delinquency, and mental health problems in this country, policy makers, communities, practitioners, and advocates need to identify prevention programs that have empirical support and at the same time meet their own community needs regarding acceptability, cost, and training, and supervision. An "evidence-based" approach to prevention, one that identifies the scientific knowledge about what prevention programs work, for whom, and under what circumstances, should play a critical part in this process. The premise of this evidence-based approach is that the wide adoption of prevention programs that have been found to be successful in rigorous evaluations, will lead to successful population-based prevention strategies. A web-based registry, or database that describes the available scientific information on individual preventive trials, would be of high potential use to policy makers engaged in prevention planning for their communities. This presentation describes a model registry based on descriptions of 167 preventive trials aimed at children aged 0-6. Empirical findings are presented regarding two critical components of the registry, the measurement of the quality of the trial and the strength of evidence for a beneficial effect produced by each intervention. Implications for the use of such a registry are also discussed.
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Abstract
In an attempt to study the functional role of the positively charged amino acids present in the S4 segment of hyperpolarization-activated cyclic nucleotide-gated cation (HCN) channels, we have introduced single and sequential amino acid replacements throughout this domain in the mouse type 2 HCN channel (mHCN2). Sequential neutralization of the first three positively charged amino acids resulted in cumulative shifts of the midpoint voltage activation constant towards more hyperpolarizing potentials. The contribution of each amino acid substitution was approximately -20 mV. Amino acid replacements to neutralize either the first (K291Q) or fourth (R300Q) positively charged amino acid resulted in the same shift (about 20 mV) towards more hyperpolarized potentials. Replacing the first positively charged amino acid with the negatively charged glutamic acid (K291E) produced a shift of approximately -50 mV in the same direction. None of the above amino acid substitutions had any measurable effect on the time course of channel activation. This suggests that the S4 domain of HCN channels critically controls the voltage dependence of channel opening but is not involved in regulating activation kinetics. No channel activity was detected in mutants with neutralization of the last six positively charged amino acids from the S4 domain, suggesting that these amino acids cannot be altered without impairing channel function.
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Affiliation(s)
- L Vaca
- Departamento de Biologia Celular, Instituto de Fisiologia Celular, UNAM, Ciudad Universitaria, Mexico, DF.
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45
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Abstract
Cardiac pacemaking is controlled by a mixed Na(+)/K(+) current named I(f), which is activated by hyperpolarized membrane potentials. Recently, a family of hyperpolarization-activated cyclic nucleotide-gated cation (HCN) channels has been cloned. The members of this family exhibit the general features of I(f) channels. This review describes the molecular diversity of the HCN channel family and the structural determinants of channel function including activation by voltage, modulation by cyclic nucleotides and ion permeation. The relationships between cloned HCN channel types and native cardiac I(f) currents are explored.
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Affiliation(s)
- A Ludwig
- Institut für Pharmakologie und Toxikologie der Technischen Universität München, München, Deutschland.
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Schlossmann J, Ammendola A, Ashman K, Zong X, Huber A, Neubauer G, Wang GX, Allescher HD, Korth M, Wilm M, Hofmann F, Ruth P. Regulation of intracellular calcium by a signalling complex of IRAG, IP3 receptor and cGMP kinase Ibeta. Nature 2000; 404:197-201. [PMID: 10724174 DOI: 10.1038/35004606] [Citation(s) in RCA: 375] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Calcium release from the endoplasmic reticulum controls a number of cellular processes, including proliferation and contraction of smooth muscle and other cells. Calcium release from inositol 1,4,5-trisphosphate (IP3)-sensitive stores is negatively regulated by binding of calmodulin to the IP3 receptor (IP3R) and the NO/cGMP/cGMP kinase I (cGKI) signalling pathway. Activation of cGKI decreases IP3-stimulated elevations in intracellular calcium, induces smooth muscle relaxation and contributes to the antiproliferative and pro-apoptotic effects of NO/cGMP. Here we show that, in microsomal smooth muscle membranes, cGKIbeta phosphorylated the IP3R and cGKIbeta, and a protein of relative molecular mass 125,000 which we now identify as the IP3R-associated cGMP kinase substrate (IRAG). These proteins were co-immunoprecipitated by antibodies directed against cGKI, IP3R or IRAG. IRAG was found in many tissues including aorta, trachea and uterus, and was localized perinuclearly after heterologous expression in COS-7 cells. Bradykinin-stimulated calcium release was not affected by the expression of either IRAG or cGKIbeta, which we tested in the absence and presence of cGMP. However, calcium release was inhibited after co-expression of IRAG and cGKIbeta in the presence of cGMP. These results identify IRAG as an essential NO/cGKI-dependent regulator of IP3-induced calcium release.
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Affiliation(s)
- J Schlossmann
- Institut für Pharmakologie und Toxikologie der Technischen Universität München, Germany
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47
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Gerstner A, Zong X, Hofmann F, Biel M. Molecular cloning and functional characterization of a new modulatory cyclic nucleotide-gated channel subunit from mouse retina. J Neurosci 2000; 20:1324-32. [PMID: 10662822 PMCID: PMC6772363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023] Open
Abstract
Cyclic nucleotide-gated (CNG) channels play a key role in olfactory and visual transduction. Native CNG channels are heteromeric complexes consisting of the principal alpha subunits (CNG1-3), which can form functional channels by themselves, and the modulatory beta subunits (CNG4-5). The individual alpha and beta subunits that combine to form the CNG channels in rod photoreceptors (CNG1 + CNG4) and olfactory neurons (CNG2 + CNG4 + CNG5) have been characterized. In contrast, only an alpha subunit (CNG3) has been identified so far in cone photoreceptors. Here we report the molecular cloning of a new CNG channel subunit (CNG6) from mouse retina. The cDNA of CNG6 encodes a peptide of 694 amino acids with a predicted molecular weight of 80 kDa. Among the CNG channel subunits, CNG6 has the highest overall similarity to the CNG4 beta subunit (47% sequence identity). CNG6 transcripts are present in a small subset of retinal photoreceptor cells and also in testis. Heterologous expression of CNG6 in human embryonic kidney 293 cells did not lead to detectable currents. However, when coexpressed with the cone photoreceptor alpha subunit, CNG6 induced a flickering channel gating, weakened the outward rectification in the presence of extracellular Ca(2+), increased the sensitivity for L-cis diltiazem, and enhanced the cAMP efficacy of the channel. Taken together, the data indicate that CNG6 represents a new CNG channel beta subunit that may associate with the CNG3 alpha subunit to form the native cone channel.
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Affiliation(s)
- A Gerstner
- Institut für Pharmakologie und Toxikologie der Technischen Universität München, 80802 München, Germany
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48
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Abstract
Huwentoxin-I, a neurotoxic peptide with 33 amino acid residues and three disulfide bonds, was used to investigate the pathway of reduction/denaturation and of oxidative folding in small proteins with multiple disulfide bonds. Titration of thiol groups, reversed-phase HPLC, 1D NMR spectroscopy, and biological activity assays were used to monitor the extent of reduction/ denaturation and renaturation of the toxin. The reduction and denaturation of huwentoxin-I resulted in a 100% loss of bioactivity as measured in a mouse phrenic nerve-diaphragm preparation. About 90% of full biological activity could be restored under optimized conditions of oxidative refolding of the reduced peptide. Several reaction conditions employing air oxidation, oxidized and reduced glutathione (GSSG and GSH), and cystine/cysteine were investigated in order to find optimal conditions for renaturation of huwentoxin-I. The best renaturation yield was achieved in 0.1 mM GSSG and 1 mM GSH at pH 8.5 and 4 degrees C over 24 hr. High concentrations of glutathione and high temperatures reduced renaturation yields. Oxidative refolding of huwentoxin-I in air requires about 6 days for maximal yields and is inhibited by EDTA.
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Affiliation(s)
- S Liang
- College of Life Sciences, Hunan Normal University, Changsha, China
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49
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Abstract
Cardiac pacemaking is produced by the slow diastolic depolarization phase of the action potential. The hyperpolarization-activated cation current (If) forms an important part of the pacemaker depolarization and consists of two kinetic components (fast and slow). Recently, three full-length cDNAs encoding hyperpolarization-activated and cyclic nucleotide-gated cation channels (HCN1-3) have been cloned from mouse brain. To elucidate the molecular identity of cardiac pacemaker channels, we screened a human heart cDNA library using a highly conserved neuronal HCN channel segment and identified two cDNAs encoding HCN channels. The hHCN2 cDNA codes for a protein of 889 amino acids. The HCN2 gene is localized on human chromosome 19p13.3 and contains eight exons spanning approximately 27 kb. The second cDNA, designated hHCN4, codes for a protein of 1203 amino acids. Northern blot and PCR analyses showed that both hHCN2 and hHCN4 are expressed in heart ventricle and atrium. When expressed in HEK 293 cells, either cDNA gives rise to hyperpolarization-activated cation currents with the hallmark features of native If. hHCN2 and hHCN4 currents differ profoundly from each other in their activation kinetics, being fast and slow, respectively. We thus conclude that hHCN2 and hHCN4 may underlie the fast and slow component of cardiac If, respectively.
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Affiliation(s)
- A Ludwig
- Institut für Pharmakologie und Toxikologie der Technischen Universität München, Biedersteiner Strasse 29, 80802 München, Germany
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50
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Affiliation(s)
- M Biel
- Institut für Pharmakologie und Toxikologie der Technischen Universität München, Germany
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