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Geng T, Sun Q, He J, Chen Y, Cheng W, Shen J, Liu B, Zhang M, Wang S, Asan K, Song M, Gao Q, Song Y, Liu R, Liu X, Ding Y, Jing A, Ye X, Ren H, Zeng K, Zhou Y, Zhang B, Ma S, Liu W, Liu S, Ji J. CXXC5 drove inflammation and ovarian cancer proliferation via transcriptional activation of ZNF143 and EGR1. Cell Signal 2024; 119:111180. [PMID: 38642782 DOI: 10.1016/j.cellsig.2024.111180] [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: 01/01/2024] [Revised: 03/28/2024] [Accepted: 04/14/2024] [Indexed: 04/22/2024]
Abstract
CXXC5, a zinc-finger protein, is known for its role in epigenetic regulation via binding to unmethylated CpG islands in gene promoters. As a transcription factor and epigenetic regulator, CXXC5 modulates various signaling processes and acts as a key coordinator. Altered expression or activity of CXXC5 has been linked to various pathological conditions, including tumorigenesis. Despite its known role in cancer, CXXC5's function and mechanism in ovarian cancer are unclear. We analyzed multiple public databases and found that CXXC5 is highly expressed in ovarian cancer, with high expression correlating with poor patient prognosis. We show that CXXC5 expression is regulated by oxygen concentration and is a direct target of HIF1A. CXXC5 is critical for maintaining the proliferative potential of ovarian cancer cells, with knockdown decreasing and overexpression increasing cell proliferation. Loss of CXXC5 led to inactivation of multiple inflammatory signaling pathways, while overexpression activated these pathways. Through in vitro and in vivo experiments, we confirmed ZNF143 and EGR1 as downstream transcription factors of CXXC5, mediating its proliferative potential in ovarian cancer. Our findings suggest that the CXXC5-ZNF143/EGR1 axis forms a network driving ovarian cell proliferation and tumorigenesis, and highlight CXXC5 as a potential therapeutic target for ovarian cancer treatment.
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Affiliation(s)
- Ting Geng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Qigang Sun
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Affiliated Hainan Hospital of Hainan Medical College, Haikou 570311, China
| | - Jingliang He
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yulu Chen
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Wenhao Cheng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Jing Shen
- Department of Obstetrics and Gynecology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, Hubei, China
| | - Bin Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Meiqi Zhang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Sen Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Kadirya Asan
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Mengwei Song
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Qi Gao
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yizhuo Song
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Ruotong Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xing Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yuanyuan Ding
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Aixin Jing
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xiaoqing Ye
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Hongyu Ren
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Kaile Zeng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Ying Zhou
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Boyu Zhang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Shaojie Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China.
| | - Wei Liu
- Cancer Center and Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
| | - Shunfang Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Jing Ji
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China.
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Lu M, Zhang X, Chu Q, Chen Y, Zhang P. Susceptibility Genes Associated with Multiple Primary Cancers. Cancers (Basel) 2023; 15:5788. [PMID: 38136334 PMCID: PMC10741435 DOI: 10.3390/cancers15245788] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
With advancements in treatment and screening techniques, we have been witnessing an era where more cancer survivors harbor multiple primary cancers (MPCs), affecting approximately one in six patients. Identifying MPCs is crucial for tumor staging and subsequent treatment choices. However, the current clinicopathological criteria for clinical application are limited and insufficient, making it challenging to differentiate them from recurrences or metastases. The emergence of next-generation sequencing (NGS) technology has provided a genetic perspective for defining multiple primary cancers. Researchers have found that, when considering multiple tumor pairs, it is crucial not only to examine well-known essential mutations like MLH1/MSH2, EGFR, PTEN, BRCA1/2, CHEK2, and TP53 mutations but also to explore certain pleiotropic loci. Moreover, specific deleterious mutations may serve as regulatory factors in second cancer development following treatment. This review aims to discuss these susceptibility genes and provide an explanation of their functions based on the signaling pathway background. Additionally, the association network between genetic signatures and different tumor pairs will be summarized.
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Affiliation(s)
| | | | | | | | - Peng Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (M.L.)
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López-Mejía JA, Mantilla-Ollarves JC, Rocha-Zavaleta L. Modulation of JAK-STAT Signaling by LNK: A Forgotten Oncogenic Pathway in Hormone Receptor-Positive Breast Cancer. Int J Mol Sci 2023; 24:14777. [PMID: 37834225 PMCID: PMC10573125 DOI: 10.3390/ijms241914777] [Citation(s) in RCA: 2] [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] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
Breast cancer remains the most frequently diagnosed cancer in women worldwide. Tumors that express hormone receptors account for 75% of all cases. Understanding alternative signaling cascades is important for finding new therapeutic targets for hormone receptor-positive breast cancer patients. JAK-STAT signaling is commonly activated in hormone receptor-positive breast tumors, inducing inflammation, proliferation, migration, and treatment resistance in cancer cells. In hormone receptor-positive breast cancer, the JAK-STAT cascade is stimulated by hormones and cytokines, such as prolactin and IL-6. In normal cells, JAK-STAT is inhibited by the action of the adaptor protein, LNK. However, the role of LNK in breast tumors is not fully understood. This review compiles published reports on the expression and activation of the JAK-STAT pathway by IL-6 and prolactin and potential inhibition of the cascade by LNK in hormone receptor-positive breast cancer. Additionally, it includes analyses of available datasets to determine the level of expression of LNK and various members of the JAK-STAT family for the purpose of establishing associations between expression and clinical outcomes. Together, experimental evidence and in silico studies provide a better understanding of the potential implications of the JAK-STAT-LNK loop in hormone receptor-positive breast cancer progression.
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Affiliation(s)
- José A. López-Mejía
- Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City 03100, Mexico; (J.A.L.-M.); (J.C.M.-O.)
| | - Jessica C. Mantilla-Ollarves
- Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City 03100, Mexico; (J.A.L.-M.); (J.C.M.-O.)
| | - Leticia Rocha-Zavaleta
- Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City 03100, Mexico; (J.A.L.-M.); (J.C.M.-O.)
- Programa Institucional de Cáncer de Mama, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City 03100, Mexico
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Sun J, Wang L, Zhou X, Hu L, Yuan S, Bian Z, Chen J, Zhu Y, Farrington SM, Campbell H, Ding K, Zhang D, Dunlop MG, Theodoratou E, Li X. Cross-cancer pleiotropic analysis identifies three novel genetic risk loci for colorectal cancer. Hum Mol Genet 2023; 32:2093-2102. [PMID: 36928917 PMCID: PMC10244225 DOI: 10.1093/hmg/ddad044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 12/11/2022] [Revised: 03/11/2023] [Accepted: 03/16/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND To understand the shared genetic basis between colorectal cancer (CRC) and other cancers and identify potential pleiotropic loci for compensating the missing genetic heritability of CRC. METHODS We conducted a systematic genome-wide pleiotropy scan to appraise associations between cancer-related genetic variants and CRC risk among European populations. Single nucleotide polymorphism (SNP)-set analysis was performed using data from the UK Biobank and the Study of Colorectal Cancer in Scotland (10 039 CRC cases and 30 277 controls) to evaluate the overlapped genetic regions for susceptibility of CRC and other cancers. The variant-level pleiotropic associations between CRC and other cancers were examined by CRC genome-wide association study meta-analysis and the pleiotropic analysis under composite null hypothesis (PLACO) pleiotropy test. Gene-based, co-expression and pathway enrichment analyses were performed to explore potential shared biological pathways. The interaction between novel genetic variants and common environmental factors was further examined for their effects on CRC. RESULTS Genome-wide pleiotropic analysis identified three novel SNPs (rs2230469, rs9277378 and rs143190905) and three mapped genes (PIP4K2A, HLA-DPB1 and RTEL1) to be associated with CRC. These genetic variants were significant expressions quantitative trait loci in colon tissue, influencing the expression of their mapped genes. Significant interactions of PIP4K2A and HLA-DPB1 with environmental factors, including smoking and alcohol drinking, were observed. All mapped genes and their co-expressed genes were significantly enriched in pathways involved in carcinogenesis. CONCLUSION Our findings provide an important insight into the shared genetic basis between CRC and other cancers. We revealed several novel CRC susceptibility loci to help understand the genetic architecture of CRC.
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Affiliation(s)
- Jing Sun
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Lijuan Wang
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Xuan Zhou
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Lidan Hu
- The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Zilong Bian
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Jie Chen
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Yingshuang Zhu
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Susan M Farrington
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Harry Campbell
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Kefeng Ding
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao 266071, China
| | - Malcolm G Dunlop
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang 310058, China
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5
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Duan X, Yang B, Zhao C, Tie B, Cao L, Gao Y. Prognostic value of preoperative hematological markers in patients with glioblastoma multiforme and construction of random survival forest model. BMC Cancer 2023; 23:432. [PMID: 37173662 PMCID: PMC10176909 DOI: 10.1186/s12885-023-10889-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 12/04/2022] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
OBJECTIVE In recent years, an increasing number of studies have revealed that patients' preoperative inflammatory response, coagulation function, and nutritional status are all linked to the occurrence, development, angiogenesis, and metastasis of various malignant tumors. The goal of this study is to determine the relationship between preoperative peripheral blood neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), systemic immune-inflammatory index (SII), platelet to lymphocyte ratio (PLR), and platelet to fibrinogen ratio (FPR). Prognostic nutritional index (PNI) and the prognosis of glioblastoma multiforme (GBM) patients, as well as establish a forest prediction model that includes preoperative hematological markers to predict the individual GBM patient's 3-year survival status after treatment. METHODS The clinical and hematological data of 281 GBM patients were analyzed retrospectively; overall survival (OS) was the primary endpoint. X-Tile software was used to determine the best cut-off values for NLR, SII, and PLR, and the survival analysis was carried out by the Kaplan-Meier method as well as univariate and multivariate COX regression. Afterward, we created a random forest model that predicts the individual GBM patient's 3-year survival status after treatment, and the area under the curve (AUC) is used to validate the model's effectiveness. RESULTS The best cut-off values for NLR, SII, and PLR in GBM patients' preoperative peripheral blood were 2.12, 537.50, and 93.5 respectively. The Kaplan-Meier method revealed that preoperative GBM patients with high SII, high NLR, and high PLR had shorter overall survival, and the difference was statistically significant. In addition to clinical and pathological factors. Univariate Cox showed NLR (HR = 1.456, 95% CI: 1.286 ~ 1.649, P < 0.001) MLR (HR = 1.272, 95% CI: 1.120 ~ 1.649, P < 0.001), FPR (HR = 1.183,95% CI: 1.049 ~ 1.333, P < 0.001), SII (HR = 0.218,95% CI: 1.645 ~ 2.127, P < 0.001) is related to the prognosis and overall survival of GBM. Multivariate Cox proportional hazard regression showed that SII (HR = 1.641, 95% CI: 1.430 ~ 1.884, P < 0.001) is also related to the overall survival of patients with GBM. In the random forest prognostic model with preoperative hematologic markers, the AUC in the test set and the validation set was 0.907 and 0.900, respectively. CONCLUSION High levels of NLR, MLR, PLR, FPR, and SII before surgery are prognostic risk factors for GBM patients. A high preoperative SII level is an independent risk factor for GBM prognosis. The random forest model that includes preoperative hematological markers has the potential to predict the individual GBM patient's 3-year survival status after treatment,and assist the clinicians for making a good clinical decision.
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Affiliation(s)
- Xiaozong Duan
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bo Yang
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Chengbin Zhao
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Boran Tie
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lei Cao
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuyuan Gao
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Song D, Wang X, Ma Y, Liu NN, Wang H. Beneficial insights into postbiotics against colorectal cancer. Front Nutr 2023; 10:1111872. [PMID: 36969804 PMCID: PMC10036377 DOI: 10.3389/fnut.2023.1111872] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 02/21/2023] [Indexed: 03/12/2023] Open
Abstract
Colorectal cancer (CRC) is one of the most prevalent and life-threatening cancer types with limited therapeutic options worldwide. Gut microbiota has been recognized as the pivotal determinant in maintaining gastrointestinal (GI) tract homeostasis, while dysbiosis of gut microbiota contributes to CRC development. Recently, the beneficial role of postbiotics, a new concept in describing microorganism derived substances, in CRC has been uncovered by various studies. However, a comprehensive characterization of the molecular identity, mechanism of action, or routes of administration of postbiotics, particularly their role in CRC, is still lacking. In this review, we outline the current state of research toward the beneficial effects of gut microbiota derived postbiotics against CRC, which will represent the key elements of future precision-medicine approaches in the development of novel therapeutic strategies targeting gut microbiota to improve treatment outcomes in CRC.
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Affiliation(s)
| | | | | | - Ning-Ning Liu
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wang
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Ahmad S, Ashktorab H, Brim H, Housseau F. Inflammation, microbiome and colorectal cancer disparity in African-Americans: Are there bugs in the genetics? World J Gastroenterol 2022; 28:2782-2801. [PMID: 35978869 PMCID: PMC9280725 DOI: 10.3748/wjg.v28.i25.2782] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/27/2022] [Accepted: 05/28/2022] [Indexed: 02/06/2023] Open
Abstract
Dysregulated interactions between host inflammation and gut microbiota over the course of life increase the risk of colorectal cancer (CRC). While environmental factors and socio-economic realities of race remain predominant contributors to CRC disparities in African-Americans (AAs), this review focuses on the biological mediators of CRC disparity, namely the under-appreciated influence of inherited ancestral genetic regulation on mucosal innate immunity and its interaction with the microbiome. There remains a poor understanding of mechanisms linking immune-related genetic polymorphisms and microbiome diversity that could influence chronic inflammation and exacerbate CRC disparities in AAs. A better understanding of the relationship between host genetics, bacteria, and CRC pathogenesis will improve the prediction of cancer risk across race/ethnicity groups overall.
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Affiliation(s)
- Sami Ahmad
- Department of Oncology, Johns Hopkins University, Baltimore, MD 21231, United States
| | - Hassan Ashktorab
- Department of Medicine, Howard University, Washington, DC 20060, United States
| | - Hassan Brim
- Department of Pathology, Howard University, Washington, DC 20060, United States
| | - Franck Housseau
- Department of Oncology, Johns Hopkins University, Baltimore, MD 21231, United States
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Dong B, Wu RR. Neutrophil-to-lymphocyte ratio or platelet-to-lymphocyte ratio is a predictive factor of pancreatic cancer patients with type 2 diabetes. Hepatobiliary Pancreat Dis Int 2022; 21:202-204. [PMID: 32900607 DOI: 10.1016/j.hbpd.2020.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 08/25/2020] [Indexed: 02/05/2023]
Affiliation(s)
- Bao Dong
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230031, China
| | - Rong-Rong Wu
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230031, China.
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He Q, Zhao W, Ren Q. The Prognostic Value of the Prognostic Nutritional Index in Operable High-Grade Glioma Patients and the Establishment of a Nomogram. Front Oncol 2022; 11:724769. [PMID: 35096561 PMCID: PMC8795507 DOI: 10.3389/fonc.2021.724769] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 12/23/2021] [Indexed: 11/13/2022] Open
Abstract
Background Studies confirmed the predictive value of the prognostic nutrition index (PNI) in many malignant tumors. However, it did not reach a consensus in glioma. Therefore, this study investigated the prognostic value of preoperative PNI in operable high-grade glioma and established a nomogram. Methods Clinical data of high-grade glioma patients were retrospectively analyzed. The primary endpoint was overall survival (OS). Survival analysis was conducted by the Kaplan–Meier method, log-rank test, and Cox regression analysis. A nomogram was established. The prediction effect of the nomogram covering PNI was verified by area under the curve (AUC). Results A total of 91 operable high-grade glioma patients were included. Kaplan–Meier analysis showed that among grade IV gliomas (n = 55), patients with higher PNI (>44) showed a trend of OS benefit (p = 0.138). In grade III glioma (n = 36), patients with higher PNI (>47) had longer OS (p = 0.023). However, the intersecting Kaplan–Meier curve suggested that there may be some confounding factors. Cox regression analysis showed that higher PNI was an independent prognostic factor for grade IV glioma (HR = 0.388, p = 0.040). In grade III glioma, there was no statistically relationship between PNI levels and prognosis. When evaluating the prognostic ability of PNI alone by ROC, the AUC in grade III and IV gliomas was low, indicating that PNI alone had poor predictive power for OS. Interestingly, we found that the nomogram including preoperative PNI, age, extent of resection, number of gliomas, and MGMT methylation status could predict the prognosis of patients with grade IV glioma well. Conclusion The PNI level before surgery was an independent prognostic factor for patients with grade IV glioma. The nomogram covering PNI in patients with grade IV glioma also proved the value of PNI. However, the value of PNI in grade III glioma needs to be further evaluated. More prospective studies are needed to verify this conclusion.
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Affiliation(s)
- Qian He
- Department of Oncology, Affiliated Dongguan People's Hospital, Southern Medical University, Dongguan, China
| | - Wei Zhao
- Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qinglan Ren
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Borrego A, Jensen JR, Cabrera WHK, Massa S, Ribeiro OG, Starobinas N, De Franco M, Eto SF, Manenti G, Dragani TA, Ibañez OM. Mapping of novel loci involved in lung and colon tumor susceptibility by the use of genetically selected mouse strains. Genes Immun 2021; 23:23-32. [PMID: 34966170 PMCID: PMC8866122 DOI: 10.1038/s41435-021-00159-z] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 11/29/2021] [Accepted: 12/13/2021] [Indexed: 11/29/2022]
Abstract
Two non-inbred mouse lines, phenotypically selected for maximal (AIRmin) and minimal (AIRmax) acute inflammatory response, show differential susceptibility/resistance to the development of several chemically-induced tumor types. An intercross pedigree of these mice was generated and treated with the chemical carcinogen dimethylhydrazine, which induces lung and intestinal tumors. Genome wide high-density genotyping with the Restriction Site-Associated DNA genotyping (2B-RAD) technique was used to map genetic loci modulating individual genetic susceptibility to both lung and intestinal cancer. Our results evidence new common quantitative trait loci (QTL) for those phenotypes and provide an improved understanding of the relationship between genomic variation and individual genetic predisposition to tumorigenesis in different organs.
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Affiliation(s)
- Andrea Borrego
- Laboratory of Immunogenetics, Instituto Butantan, São Paulo, Brazil
| | | | | | - Solange Massa
- Laboratory of Immunogenetics, Instituto Butantan, São Paulo, Brazil
| | | | - Nancy Starobinas
- Laboratory of Immunogenetics, Instituto Butantan, São Paulo, Brazil
| | | | - Silas Fernandes Eto
- Laboratory of Development and Innovation, Instituto Butantan, São Paulo, Brazil
| | - Giacomo Manenti
- Genetic Epidemiology and Pharmacogenomics Unit Fondazione IRCCS, Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Tommaso Antonio Dragani
- Genetic Epidemiology and Pharmacogenomics Unit Fondazione IRCCS, Istituto Nazionale dei Tumori di Milano, Milan, Italy.
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11
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Olovo CV, Huang X, Zheng X, Xu M. Faecal microbial biomarkers in early diagnosis of colorectal cancer. J Cell Mol Med 2021; 25:10783-10797. [PMID: 34750964 PMCID: PMC8642680 DOI: 10.1111/jcmm.17010] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/04/2021] [Accepted: 10/07/2021] [Indexed: 12/26/2022] Open
Abstract
Colorectal cancer (CRC) is ranked as the second most common cause of cancer deaths and the third most common cancer globally. It has been described as a 'silent disease' which is often easily treatable if detected early-before progression to carcinoma. Colonoscopy, which is the gold standard for diagnosis is not only expensive but is also an invasive diagnostic procedure, thus, effective and non-invasive diagnostic methods are urgently needed. Unfortunately, the current methods are not sensitive and specific enough in detecting adenomas and early colorectal neoplasia, hampering treatment and consequently, survival rates. Studies have shown that imbalances in such a relationship which renders the gut microbiota in a dysbiotic state are implicated in the development of adenomas ultimately resulting in CRC. The differences found in the makeup and diversity of the gut microbiota of healthy individuals relative to CRC patients have in recent times gained attention as potential biomarkers in early non-invasive diagnosis of CRC, with promising sensitivity, specificity and even cost-effectiveness. This review summarizes recent studies in the application of these microbiota biomarkers in early CRC diagnosis, limitations encountered in the area of the faecal microbiota studies as biomarkers for CRC, and future research exploits that address these limitations.
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Affiliation(s)
- Chinasa Valerie Olovo
- Department of Biochemistry and Molecular BiologySchool of MedicineJiangsu UniversityZhenjiangChina
- Department of MicrobiologyFaculty of Biological SciencesUniversity of NigeriaNsukkaNigeria
| | - Xinxiang Huang
- Department of Biochemistry and Molecular BiologySchool of MedicineJiangsu UniversityZhenjiangChina
| | - Xueming Zheng
- Department of Biochemistry and Molecular BiologySchool of MedicineJiangsu UniversityZhenjiangChina
| | - Min Xu
- Department of GastroenterologyAffiliated Hospital of Jiangsu UniversityZhenjiangChina
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12
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Qian D, Liu H, Zhao L, Luo S, Walsh KM, Huang J, Li CY, Wei Q. A pleiotropic ATM variant (rs1800057 C>G) is associated with risk of multiple cancers. Carcinogenesis 2021; 43:60-66. [PMID: 34643693 DOI: 10.1093/carcin/bgab092] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 10/02/2021] [Accepted: 10/12/2021] [Indexed: 11/13/2022] Open
Abstract
ATM (ataxia-telangiectasia mutated) is an important cell-cycle checkpoint kinase required for cellular response to DNA damage. Activated by DNA double strand breaks, ATM regulates the activities of many downstream proteins involved in various carcinogenic events. Therefore, ATM or its genetic variants may have a pleiotropic effect in cancer development. We conducted a pleiotropic analysis to evaluate associations between genetic variants of ATM and risk of multiple cancers. With genotyping data extracted from previously published genome-wide association studies of various cancers, we performed multivariate logistic regression analysis, followed by a meta-analysis for each cancer site, to identify cancer risk-associated single-nucleotide polymorphisms (SNPs). In the ASSET two-sided analysis, we found that two ATM SNPs were significantly associated with risk of multiple cancers. One tagging SNP (rs1800057 C>G) was associated with risk of multiple cancers (two-sided P=5.27×10 -7). Because ATM rs1800057 is a missense variant, we also explored the intermediate phenotypes through which this variant may confer risk of multiple cancers and identified a possible immune-mediated effect of this variant. Our findings indicate that genetic variants of ATM may have a pleiotropic effect on cancer risk and thus provide an important insight into common mechanisms of carcinogenesis.
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Affiliation(s)
- Danwen Qian
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.,Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Lingling Zhao
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Sheng Luo
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
| | - Kyle M Walsh
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Neurosurgery, Duke University, Durham, NC 27710, USA
| | - Jiaoti Huang
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of pathology, Duke University, Durham, NC 27710, USA
| | - Chuan-Yuan Li
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Dermatology, Duke University Medical Center, Durham, NC 27710, USA.,Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA.,Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA
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13
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Abstract
Clonal haematopoiesis (CH) is a common, age-related expansion of blood cells with somatic mutations that is associated with an increased risk of haematological malignancies, cardiovascular disease and all-cause mortality. CH may be caused by point mutations in genes associated with myeloid neoplasms, chromosomal copy number changes and loss of heterozygosity events. How inherited and environmental factors shape the incidence of CH is incompletely understood. Even though the several varieties of CH may have distinct phenotypic consequences, recent research points to an underlying genetic architecture that is highly overlapping. Moreover, there are numerous commonalities between the inherited variation associated with CH and that which has been linked to age-associated biomarkers and diseases. In this Review, we synthesize what is currently known about how inherited variation shapes the risk of CH and how this genetic architecture intersects with the biology of diseases that occur with ageing.
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Affiliation(s)
- Alexander J Silver
- Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Alexander G Bick
- Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- Center for Immunobiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Michael R Savona
- Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Center for Immunobiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
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14
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Graff RE, Cavazos TB, Thai KK, Kachuri L, Rashkin SR, Hoffman JD, Alexeeff SE, Blatchins M, Meyers TJ, Leong L, Tai CG, Emami NC, Corley DA, Kushi LH, Ziv E, Van Den Eeden SK, Jorgenson E, Hoffmann TJ, Habel LA, Witte JS, Sakoda LC. Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts. Nat Commun 2021; 12:970. [PMID: 33579919 PMCID: PMC7880989 DOI: 10.1038/s41467-021-21288-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 01/19/2021] [Indexed: 02/07/2023] Open
Abstract
Even distinct cancer types share biological hallmarks. Here, we investigate polygenic risk score (PRS)-specific pleiotropy across 16 cancers in European ancestry individuals from the Genetic Epidemiology Research on Adult Health and Aging cohort (16,012 cases, 50,552 controls) and UK Biobank (48,969 cases, 359,802 controls). Within cohorts, each PRS is evaluated in multivariable logistic regression models against all other cancer types. Results are then meta-analyzed across cohorts. Ten positive and one inverse cross-cancer associations are found after multiple testing correction. Two pairs show bidirectional associations; the melanoma PRS is positively associated with oral cavity/pharyngeal cancer and vice versa, whereas the lung cancer PRS is positively associated with oral cavity/pharyngeal cancer, and the oral cavity/pharyngeal cancer PRS is inversely associated with lung cancer. Overall, we validate known, and uncover previously unreported, patterns of pleiotropy that have the potential to inform investigations of risk prediction, shared etiology, and precision cancer prevention strategies.
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Affiliation(s)
- Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Taylor B Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Khanh K Thai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Joshua D Hoffman
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Maruta Blatchins
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Travis J Meyers
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Lancelote Leong
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Caroline G Tai
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Nima C Emami
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. .,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA. .,Department of Urology, University of California San Francisco, San Francisco, CA, USA.
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA. .,Department of Health System Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
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15
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Kuo CL, Joaquim M, Kuchel GA, Ferrucci L, Harries LW, Pilling LC, Melzer D. The Longevity-Associated SH2B3 (LNK) Genetic Variant: Selected Aging Phenotypes in 379,758 Subjects. J Gerontol A Biol Sci Med Sci 2021; 75:1656-1662. [PMID: 31428775 DOI: 10.1093/gerona/glz191] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 02/22/2019] [Indexed: 12/15/2022] Open
Abstract
Human SH2B3 is involved in growth factor and inflammation signaling. A SH2B3 missense variant (rs3184504) is associated with cardiovascular diseases plus breast, colorectal, and lung cancers, with highly correlated variants across the ATXN2/SH2B3/BRAP locus linked to parental age at death, suggesting a geroscience common mechanism of aging and disease. To better understand the SH2B3-related aging pathway and its potential as an intervention target, we undertook a phenotype-wide association study (PheWAS) of 52 aging traits. Data were obtained from 379,758 European-descent UK Biobank participants, aged 40-70 at baseline: 27% of participants were CC homozygotes and 23% TT at rs3184504. Parental extreme longevity (mothers aged ≥98 years, fathers aged ≥96 years) was more common in CC versus TT (odds ratio [OR] = 1.18, 95% confidence interval [CI]: 1.07 to 1.29) with an additive per allele effect. The C allele associated with better cognitive function and white blood cell counts were more likely to be normal. The C allele reduced risks of coronary heart disease (OR = 0.95, 95% CI: 0.93 to 0.96) but was also associated with a modestly higher cancer rate (OR = 1.03, 95% CI: 1.02 to 1.04), suggesting a trade-off across aging outcomes and limiting its potential as an anti-aging target.
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Affiliation(s)
- Chia-Ling Kuo
- Connecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington
| | | | - George A Kuchel
- Center on Aging, University of Connecticut Health School of Medicine, Farmington
| | | | | | - Luke C Pilling
- College of Medicine and Health, University of Exeter, UK.,Center on Aging, University of Connecticut Health School of Medicine, Farmington
| | - David Melzer
- College of Medicine and Health, University of Exeter, UK.,Center on Aging, University of Connecticut Health School of Medicine, Farmington
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16
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Rashkin SR, Graff RE, Kachuri L, Thai KK, Alexeeff SE, Blatchins MA, Cavazos TB, Corley DA, Emami NC, Hoffman JD, Jorgenson E, Kushi LH, Meyers TJ, Van Den Eeden SK, Ziv E, Habel LA, Hoffmann TJ, Sakoda LC, Witte JS. Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts. Nat Commun 2020; 11:4423. [PMID: 32887889 PMCID: PMC7473862 DOI: 10.1038/s41467-020-18246-6] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 08/13/2020] [Indexed: 12/14/2022] Open
Abstract
Deciphering the shared genetic basis of distinct cancers has the potential to elucidate carcinogenic mechanisms and inform broadly applicable risk assessment efforts. Here, we undertake genome-wide association studies (GWAS) and comprehensive evaluations of heritability and pleiotropy across 18 cancer types in two large, population-based cohorts: the UK Biobank (408,786 European ancestry individuals; 48,961 cancer cases) and the Kaiser Permanente Genetic Epidemiology Research on Adult Health and Aging cohorts (66,526 European ancestry individuals; 16,001 cancer cases). The GWAS detect 21 genome-wide significant associations independent of previously reported results. Investigations of pleiotropy identify 12 cancer pairs exhibiting either positive or negative genetic correlations; 25 pleiotropic loci; and 100 independent pleiotropic variants, many of which are regulatory elements and/or influence cross-tissue gene expression. Our findings demonstrate widespread pleiotropy and offer further insight into the complex genetic architecture of cross-cancer susceptibility.
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Affiliation(s)
- Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Khanh K Thai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Maruta A Blatchins
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Taylor B Cavazos
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.,Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Nima C Emami
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.,Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, USA
| | - Joshua D Hoffman
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Travis J Meyers
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Elad Ziv
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA. .,Department of Urology, University of California, San Francisco, San Francisco, CA, USA. .,Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA. .,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
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17
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Yin H, Hardikar S, Lindstroem S, Hsu L, Anderson KE, Banbury BL, Berndt SI, Chan AT, Giovanucci EL, Harrison TA, Joshi AD, Nan H, Potter JD, Sakoda LC, Slattery ML, Schoen RE, White E, Peters U, Newcomb PA. Telomere Maintenance Variants and Survival after Colorectal Cancer: Smoking- and Sex-Specific Associations. Cancer Epidemiol Biomarkers Prev 2020; 29:1817-1824. [PMID: 32586834 PMCID: PMC7928192 DOI: 10.1158/1055-9965.epi-19-1507] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 12/06/2019] [Revised: 02/14/2020] [Accepted: 06/22/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Telomeres play an important role in colorectal cancer prognosis. Variation in telomere maintenance genes may be associated with survival after colorectal cancer diagnosis, but evidence is limited. In addition, possible interactions between telomere maintenance genes and prognostic factors, such as smoking and sex, also remain to be investigated. METHODS We conducted gene-wide analyses of colorectal cancer prognosis in 4,896 invasive colorectal cancer cases from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO); 1,871 common variants within 13 telomere maintenance genes were included. Cox models were fit to estimate associations of these variants individually with overall and colorectal cancer-specific survival. Likelihood ratio tests were used to test for interaction by smoking and sex. P values were adjusted using Bonferroni correction. RESULTS The association between minor allele of rs7200950 (ACD) with colorectal cancer-specific survival varied significantly by smoking pack-years (corrected P = 0.049), but no significant trend was observed. By sex, minor alleles for rs2975843 (TERF1), rs75676021 (POT1), and rs74429678 (POT1) were associated with decreased overall and/or colorectal cancer-specific survival in women but not in men. CONCLUSIONS Our study reported a gene-wide statistically significant interaction with sex (TERF1, POT1). Although significant interaction by smoking pack-years (ACD) was observed, there was no evidence of a dose response. Validation of these findings in other large studies and further functional annotation on these SNPs are warranted. IMPACT Our study found a gene-smoking and gene-sex interaction on survival after colorectal cancer diagnosis, providing new insights into the role of genetic polymorphisms in telomere maintenance on colorectal cancer prognosis.
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Affiliation(s)
- Hang Yin
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Sheetal Hardikar
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Sara Lindstroem
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Kristin E Anderson
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Edward L Giovanucci
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
- Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Emily White
- Department of Epidemiology, University of Washington, Seattle, Washington
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ulrike Peters
- Department of Epidemiology, University of Washington, Seattle, Washington
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Polly A Newcomb
- Department of Epidemiology, University of Washington, Seattle, Washington.
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
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18
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Watza D, Lusk CM, Dyson G, Purrington KS, Wenzlaff AS, Neslund-Dudas C, Soubani AO, Gadgeel SM, Schwartz AG. COPD-dependent effects of genetic variation in key inflammation pathway genes on lung cancer risk. Int J Cancer 2020; 147:747-756. [PMID: 31709530 PMCID: PMC7211135 DOI: 10.1002/ijc.32780] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 04/23/2019] [Revised: 10/10/2019] [Accepted: 10/21/2019] [Indexed: 12/14/2022]
Abstract
Genome-wide association studies (GWAS) have identified several loci contributing to lung cancer and COPD risk independently; however, inflammation-related pathways likely harbor additional lung cancer risk-associated variants in biologically relevant immune genes that differ dependent on COPD. We selected single nucleotide polymorphisms (SNPs) proximal to 2,069 genes within 48 immune pathways. We modeled the contribution of these variants to lung cancer risk in a discovery sample of 1,932 lung cancer cases and controls stratified by COPD status and validation sample of 953 cases and controls also stratified by COPD. There were 43 validated SNPs in those with COPD and 60 SNPs in those without COPD associated with lung cancer risk. Furthermore, 29 of 43 and 28 of 60 SNPs demonstrated a statistically significant interaction with COPD in the pooled sample. These variants demonstrated tissue-dependent effects on proximal gene expression, enhanced network connectivity and resided together in specific immune pathways. These results reveal that key inflammatory related genes and pathways, not found in prior GWAS, impact lung cancer risk in a COPD-dependent manner. Genetic variation identified in our study supplements prior lung cancer GWAS and serves as a foundation to further interrogate risk relationships in smoking and COPD populations.
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Affiliation(s)
- Donovan Watza
- Department of Oncology Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Christine M. Lusk
- Department of Oncology Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Gregory Dyson
- Department of Oncology Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Kristen S. Purrington
- Department of Oncology Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Angela S. Wenzlaff
- Department of Oncology Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Christine Neslund-Dudas
- Department of Public Health Sciences, Henry Ford Health System and Henry Ford Cancer Institute, Detroit, MI 48202, USA
| | - Ayman O. Soubani
- Karmanos Cancer Institute, Detroit, MI 48201, USA
- Department of Internal Medicine, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Shirish M. Gadgeel
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ann G. Schwartz
- Department of Oncology Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
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19
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Palomero L, Galván-Femenía I, de Cid R, Espín R, Barnes DR, Cimba, Blommaert E, Gil-Gil M, Falo C, Stradella A, Ouchi D, Roso-Llorach A, Violan C, Peña-Chilet M, Dopazo J, Extremera AI, García-Valero M, Herranz C, Mateo F, Mereu E, Beesley J, Chenevix-Trench G, Roux C, Mak T, Brunet J, Hakem R, Gorrini C, Antoniou AC, Lázaro C, Pujana MA. Immune Cell Associations with Cancer Risk. iScience 2020; 23:101296. [PMID: 32622267 PMCID: PMC7334419 DOI: 10.1016/j.isci.2020.101296] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/23/2020] [Accepted: 06/15/2020] [Indexed: 01/21/2023] Open
Abstract
Proper immune system function hinders cancer development, but little is known about whether genetic variants linked to cancer risk alter immune cells. Here, we report 57 cancer risk loci associated with differences in immune and/or stromal cell contents in the corresponding tissue. Predicted target genes show expression and regulatory associations with immune features. Polygenic risk scores also reveal associations with immune and/or stromal cell contents, and breast cancer scores show consistent results in normal and tumor tissue. SH2B3 links peripheral alterations of several immune cell types to the risk of this malignancy. Pleiotropic SH2B3 variants are associated with breast cancer risk in BRCA1/2 mutation carriers. A retrospective case-cohort study indicates a positive association between blood counts of basophils, leukocytes, and monocytes and age at breast cancer diagnosis. These findings broaden our knowledge of the role of the immune system in cancer and highlight promising prevention strategies for individuals at high risk.
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Affiliation(s)
- Luis Palomero
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Ivan Galván-Femenía
- GCAT-Genomes for Life, Germans Trias i Pujol Health Sciences Research Institute (IGTP), Program for Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Catalonia 08916, Spain
| | - Rafael de Cid
- GCAT-Genomes for Life, Germans Trias i Pujol Health Sciences Research Institute (IGTP), Program for Predictive and Personalized Medicine of Cancer (IMPPC), Badalona, Catalonia 08916, Spain
| | - Roderic Espín
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Daniel R Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Cimba
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Eline Blommaert
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Miguel Gil-Gil
- Department of Medical Oncology, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Catalina Falo
- Department of Medical Oncology, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Agostina Stradella
- Department of Medical Oncology, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Dan Ouchi
- Jordi Gol University Institute for Research Primary Healthcare (IDIAP Jordi Gol), Barcelona, Catalonia 08007, Spain; Autonomous University of Barcelona, Bellaterra, Catalonia 08913, Spain
| | - Albert Roso-Llorach
- Jordi Gol University Institute for Research Primary Healthcare (IDIAP Jordi Gol), Barcelona, Catalonia 08007, Spain; Autonomous University of Barcelona, Bellaterra, Catalonia 08913, Spain
| | - Concepció Violan
- Jordi Gol University Institute for Research Primary Healthcare (IDIAP Jordi Gol), Barcelona, Catalonia 08007, Spain; Autonomous University of Barcelona, Bellaterra, Catalonia 08913, Spain
| | - María Peña-Chilet
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), Bioinformatics in Rare Diseases (BiER), CIBERER, INB-ELIXIR-es, Hospital Virgen del Rocío, Seville 41013, Spain
| | - Joaquín Dopazo
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), Bioinformatics in Rare Diseases (BiER), CIBERER, INB-ELIXIR-es, Hospital Virgen del Rocío, Seville 41013, Spain
| | - Ana Isabel Extremera
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Mar García-Valero
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Carmen Herranz
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Francesca Mateo
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain
| | - Elisabetta Mereu
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Catalonia 08003, Spain
| | - Jonathan Beesley
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | | | - Cecilia Roux
- Princess Margaret Cancer Centre, The Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Tak Mak
- Princess Margaret Cancer Centre, The Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Joan Brunet
- Hereditary Cancer Program, Catalan Institute of Oncology, Biomedical Research Institute of Girona (IDIBGI), Girona, Catalonia 17190, Spain
| | - Razq Hakem
- Princess Margaret Cancer Centre, Department of Medical Biophysics, University Health Network and University of Toronto, Toronto, ON M5G 2C1, Canada
| | - Chiara Gorrini
- Princess Margaret Cancer Centre, The Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, and Spanish Biomedical Research Network Centre in Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid 28029, Spain.
| | - Miquel Angel Pujana
- ProCURE, Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Catalonia 08908, Spain.
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20
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Shi Y, Xu J, Ding B, Chen G, Jin L, Ke L, Xu X, Wang J, Sun Q, Xu X. Gastrointestinal Motility and Improvement Efficacy of Shenhuang Plaster Application on Shenque: Identification, Evaluation, and Mechanism. J Immunol Res 2020; 2020:2383970. [PMID: 32733972 PMCID: PMC7369653 DOI: 10.1155/2020/2383970] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 06/09/2020] [Indexed: 12/22/2022] Open
Abstract
Constipation, a gastrointestinal function disorder, is one of the side effects of paclitaxel (PTX) chemotherapy. Shenhuang plaster (SHP) application on the Shenque acupoint promotes gut motility in clinical settings. In this study, we elucidated the ingredients in SHP and evaluated its effects on PTX-induced constipation using a tumour-bearing mouse model. SHP was prepared using the traditional Chinese plaster preparation method. The ingredients were analysed using UPLC-MS/MS and identified via screening in a standard drug database. The gastrointestinal transit was evaluated by the movement of a fluorescein-labelled dextran in the gastrointestinal tract. A histological study of the mucosa was carried out after haematoxylin and eosin staining. mRNA expression was assessed using real-time RT-PCR, and the foetal microbiota composition was elucidated through 16 s rDNA sequencing and BLAST analysis. Our results indicate that the application of SHP attenuated weight gain inhibition by PTX; however, no inhibitory effect was observed on tumour growth. PTX-induced sluggish intestine, villus, and mucosal base layer damage were significantly improved following the application of SHP. Further, SHP enhanced the stimulation efficiency of PTX on TLR4 and its downstream cytokines, as well as on IL-1β in intestinal cells. SHP combined with PTX reshaped the microbiota, which showed beneficial effects on health. Hence, these results provide evidence that SHP alleviates PTX-induced constipation and intestinal morphological damage but augments the effects of PTX on the expression of cytokines in the TLR4 pathway and IL-1β. Therefore, we propose that SHP stimulates the host immune response to eradicate cancer cells.
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Affiliation(s)
- Yanan Shi
- The College of Nursing, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jingming Xu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Bin Ding
- College of Life Science, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Guiping Chen
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310018, China
| | - Lu Jin
- School of Second Clinical Medical, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Liang Ke
- The First Affiliated Hospital of Nanchang University, Nanchang 830052, China
| | - Xiao Xu
- The College of Nursing, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - JingXia Wang
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310018, China
| | - Qiuhua Sun
- The College of Nursing, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Xiaohong Xu
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310018, China
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21
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Abstract
Individuals of African descent are disproportionately affected by specific complex diseases, such as breast and prostate cancer, which are driven by both biological and nonbiological factors. In the case of breast cancer, there is clear evidence that psychosocial factors (environment, socioeconomic status, health behaviors, etc.) have a strong influence on racial disparities. However, even after controlling for these factors, overall phenotypic differences in breast cancer pathology remain among groups of individuals who vary by geographic ancestry. There is a growing appreciation that chronic/reoccurring inflammation, primarily driven by mechanisms of innate immunity, contributes to core functions associated with cancer progression. Germline mutations in innate immune genes that have been retained in the human genome offer enhanced protection against environmental pathogens, and protective innate immune variants against specific pathogens are enriched among populations whose ancestors were heavily exposed to those pathogens. Consequently, it is predicted that racial/ethnic differences in innate immune programs will translate into ethnic differences in both pro- and antitumor immunity, tumor progression, and prognosis, leading to the current phenomenon of racial/ethnic disparities in cancer. This review explores examples of protective innate immune genetic variants that are (i) distributed disproportionately among racial populations and (ii) associated with racial/ethnic disparities of breast and prostate cancer.
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Affiliation(s)
- Susan T Yeyeodu
- The Julius L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University, Durham, North Carolina.,Charles River Discovery Services, Morrisville, North Carolina
| | - LaCreis R Kidd
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky.,Cancer Prevention and Control Program, James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky
| | - K Sean Kimbro
- The Julius L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University, Durham, North Carolina. .,Department of Biology, North Carolina Central University, Durham, North Carolina.,Biomanufacturing Research Institute and Technology Enterprise, North Carolina Central University, Durham, North Carolina
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22
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Gil-Martín E, López-Muñoz F, Reiter RJ, Romero A. Understanding the oncostatic actions displayed by melatonin in colorectal cancer therapy. Future Med Chem 2020; 12:1201-4. [PMID: 32466682 DOI: 10.4155/fmc-2020-0086] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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23
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Abbasalizad Farhangi M, Vajdi M. Dietary Total Antioxidant Capacity (TAC) Significantly Reduces the Risk of Site-Specific Cancers: An Updated Systematic Review and Meta-Analysis. Nutr Cancer 2020; 73:721-739. [DOI: 10.1080/01635581.2020.1771385] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Mahdieh Abbasalizad Farhangi
- Research Center for Evidence Based Medicine, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahdi Vajdi
- Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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24
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Abstract
The past two centuries have witnessed an unprecedented rise in human life expectancy. Sustaining longer lives with reduced periods of disability will require an understanding of the underlying mechanisms of ageing, and genetics is a powerful tool for identifying these mechanisms. Large-scale genome-wide association studies have recently identified many loci that influence key human ageing traits, including lifespan. Multi-trait loci have been linked with several age-related diseases, suggesting shared ageing influences. Mutations that drive accelerated ageing in prototypical progeria syndromes in humans point to an important role for genome maintenance and stability. Together, these different strands of genetic research are highlighting pathways for the discovery of anti-ageing interventions that may be applicable in humans.
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25
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Wang L, Zhu M, Wang Y, Fan J, Sun Q, Ji M, Fan X, Xie J, Dai J, Jin G, Hu Z, Ma H, Shen H. Cross-Cancer Pleiotropic Analysis Reveals Novel Susceptibility Loci for Lung Cancer. Front Oncol 2020; 9:1492. [PMID: 32010612 PMCID: PMC6974684 DOI: 10.3389/fonc.2019.01492] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/11/2019] [Indexed: 12/27/2022] Open
Abstract
Genome-wide association studies (GWASs) have identified hundreds of single nucleotide polymorphisms (SNPs) associated with cancer risk, several of which have shown pleiotropic effects across cancers. Therefore, we performed a systematic cross-cancer pleiotropic analysis to detect the effects of GWAS-identified variants from non-lung cancers on lung cancer risk in 12,843 cases and 12,639 controls from four lung cancer GWASs. The overall association between variants in each cancer and risk of lung cancer was explored using sequential kernel association test (SKAT) analysis. For single variant analysis, we combined the result of specific study using fixed-effect meta-analysis. We performed functional exploration of significant associations based on features from public databases. To further detect the biological mechanism underlying identified observations, pathway enrichment analysis were conducted with R package “clusterProfiler.” SNP-set analysis revealed the overall associations between variants of 8 cancer types and lung cancer risk. Single variant analysis identified 6 novel SNPs related to lung cancer risk after multiple correction (Pfdr < 0.10), including rs1707302 (1p34.1, OR = 0.93, 95% CI: 0.90–0.97, P = 7.60 × 10−4), rs2516448 (6p21.33, OR = 1.07, 95% CI: 1.03–1.11, P = 1.00 × 10−3), rs3869062 (6p22.1, OR = 0.91, 95% CI: 0.86–0.96, P = 7.10 × 10−4), rs174549 (11q12.2, OR = 0.90, 95% CI: 0.87–0.94, P = 1.00 × 10−7), rs7193541 (16q23.1, OR = 0.93, 95% CI: 0.90–0.96, P = 1.20 × 10−4), and rs8064454 (17q12, OR = 1.07, 95% CI: 1.03–1.11, P = 4.30 × 10−4). The eQTL analysis and functional annotation suggested that these variants might modify lung cancer susceptibility through regulating the expression of related genes. Pathway enrichment analysis showed that genes modulated by these variants play important roles in cancer carcinogenesis. Our findings demonstrate the pleiotropic associations between non-lung cancer susceptibility loci and lung cancer risk, providing important insights into the shared mechanisms of carcinogenesis across cancers.
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Affiliation(s)
- Lijuan Wang
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yuzhuo Wang
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jingyi Fan
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qi Sun
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mengmeng Ji
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xikang Fan
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Junxing Xie
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
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26
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Parohan M, Sadeghi A, Khatibi SR, Nasiri M, Milajerdi A, Khodadost M, Sadeghi O. Dietary total antioxidant capacity and risk of cancer: a systematic review and meta-analysis on observational studies. Crit Rev Oncol Hematol 2019; 138:70-86. [DOI: 10.1016/j.critrevonc.2019.04.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 11/30/2018] [Accepted: 04/01/2019] [Indexed: 01/04/2023] Open
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27
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Mills AM, Peres LC, Meiss A, Ring KL, Modesitt SC, Abbott SE, Alberg AJ, Bandera EV, Barnholtz-Sloan J, Bondy ML, Cote ML, Funkhouser E, Moorman PG, Peters ES, Schwartz AG, Terry PD, Wallace K, Schildkraut JM. Targetable Immune Regulatory Molecule Expression in High-Grade Serous Ovarian Carcinomas in African American Women: A Study of PD-L1 and IDO in 112 Cases From the African American Cancer Epidemiology Study (AACES). Int J Gynecol Pathol 2019; 38:157-70. [PMID: 29485423 DOI: 10.1097/PGP.0000000000000494] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
African American women with high-grade serous ovarian carcinoma have worse outcomes compared with women of European descent. Although the discrepancy is partially attributed to differences in access to care, the tumor immune microenvironment may also contribute. Expression of targetable immune regulatory molecules such as programmed cell death ligand-1 (PD-L1) and indoleamine 2,3 dioxygenase (IDO) is of particular interest as it may help guide therapy in this population. Using cases from the largest study of African American women with ovarian cancer, the African American Cancer Epidemiology Study, we characterized PD-L1 and IDO expression in 112 high-grade serous ovarian carcinomas. Immunohistochemistry for PD-L1, IDO, CD8, FOX3p, and CD68 was performed. PD-L1 and IDO were scored as the percentage of positive tumor cells and tumor-associated immune cells. CD8 and FOX3p counts were averaged across 10 high-power fields. Cox proportional hazards regression was used to evaluate the association between PD-L1 and IDO expression and survival. Tumor cells were positive for PD-L1 and IDO in 29% and 58% of cases, respectively. The majority showed <10% staining, and no cases exceeded 25% positivity. The majority of PD-L1-positive cases coexpressed IDO. PD-L1 and IDO expression was associated with higher CD8 and FOX3p counts (P<0.05). No association was observed between PD-L1 and IDO and survival. In summary, expression of PD-L1 and IDO is seen in a subset of high-grade serous ovarian carcinoma from African American women and is correlated with elevated lymphocyte infiltration. While PD-L1 and IDO co-expression suggests a role for dual immunotherapy, diffuse expression of PD-L1 and IDO is rare, invoking caution regarding the potential for immunotherapeutic response.
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28
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Yu Y, Xia L, Lee S, Zhou X, Stringham HM, Boehnke M, Mukherjee B. Subset-Based Analysis Using Gene-Environment Interactions for Discovery of Genetic Associations across Multiple Studies or Phenotypes. Hum Hered 2019; 83:283-314. [PMID: 31132756 DOI: 10.1159/000496867] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [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: 05/31/2018] [Accepted: 01/04/2019] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVES Classical methods for combining summary data from genome-wide association studies only use marginal genetic effects, and power can be compromised in the presence of heterogeneity. We aim to enhance the discovery of novel associated loci in the presence of heterogeneity of genetic effects in subgroups defined by an environmental factor. METHODS We present a pvalue-assisted subset testing for associations (pASTA) framework that generalizes the previously proposed association analysis based on subsets (ASSET) method by incorporating gene-environment (G-E) interactions into the testing procedure. We conduct simulation studies and provide two data examples. RESULTS Simulation studies show that our proposal is more powerful than methods based on marginal associations in the presence of G-E interactions and maintains comparable power even in their absence. Both data examples demonstrate that our method can increase power to detect overall genetic associations and identify novel studies/phenotypes that contribute to the association. CONCLUSIONS Our proposed method can be a useful screening tool to identify candidate single nucleotide polymorphisms that are potentially associated with the trait(s) of interest for further validation. It also allows researchers to determine the most probable subset of traits that exhibit genetic associations in addition to the enhancement of power.
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Affiliation(s)
- Youfei Yu
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Lu Xia
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Seunggeun Lee
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Xiang Zhou
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Heather M Stringham
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Michael Boehnke
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA, .,Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA,
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29
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Gil-Martín E, Egea J, Reiter RJ, Romero A. The emergence of melatonin in oncology: Focus on colorectal cancer. Med Res Rev 2019; 39:2239-2285. [PMID: 30950095 DOI: 10.1002/med.21582] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [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: 01/08/2019] [Revised: 03/04/2019] [Accepted: 03/16/2019] [Indexed: 12/17/2022]
Abstract
Within the last few decades, melatonin has increasingly emerged in clinical oncology as a naturally occurring bioactive molecule with substantial anticancer properties and a pharmacological profile optimal for joining the currently available pharmacopeia. In addition, extensive experimental data shows that this chronobiotic agent exerts oncostatic effects throughout all stages of tumor growth, from initial cell transformation to mitigation of malignant progression and metastasis; additionally, melatonin alleviates the side effects and improves the welfare of radio/chemotherapy-treated patients. Thus, the support of clinicians and oncologists for the use of melatonin in both the treatment and proactive prevention of cancer is gaining strength. Because of its epidemiological importance and symptomatic debut in advanced stages of difficult clinical management, colorectal cancer (CRC) is a preferential target for testing new therapies. In this regard, the development of effective forms of clinical intervention for the improvement of CRC outcome, specifically metastatic CRC, is urgent. At the same time, the need to reduce the costs of conventional anti-CRC therapy results is also imperative. In light of this status quo, the therapeutic potential of melatonin, and the direct and indirect critical processes of CRC malignancy it modulates, have aroused much interest. To illuminate the imminent future on CRC research, we focused our attention on the molecular mechanisms underlying the multiple oncostatic actions displayed by melatonin in the onset and evolution of CRC and summarized epidemiological evidence, as well as in vitro, in vivo and clinical findings that support the broadly protective potential demonstrated by melatonin.
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Affiliation(s)
- Emilio Gil-Martín
- Department of Biochemistry, Genetics and Immunology, Biomedical Research Center (CINBIO, 'Centro Singular de Investigación de Galicia'), University of Vigo, Vigo, Spain
| | - Javier Egea
- Molecular Neuroinflammation and Neuronal Plasticity Laboratory, Research Unit, Hospital Universitario Santa Cristina, Madrid, Spain.,Servicio de Farmacología Clínica, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Madrid, Spain.,Departamento de Farmacología y Terapéutica, Instituto-Fundación Teófilo Hernando, Universidad Autónoma de Madrid, Madrid, Spain
| | - Russel J Reiter
- Department of Cellular and Structural Biology, UT Health Science Center, San Antonio, Texas, USA
| | - Alejandro Romero
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Complutense University of Madrid, Madrid, Spain
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30
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Wendeu-Foyet MG, Koudou Y, Cénée S, Trétarre B, Rébillard X, Cancel-Tassin G, Cussenot O, Boland A, Bacq D, Deleuze JF, Lamy PJ, Mulot C, Laurent-Puig P, Truong T, Menegaux F. Circadian genes and risk of prostate cancer: Findings from the EPICAP study. Int J Cancer 2019; 145:1745-1753. [PMID: 30665264 DOI: 10.1002/ijc.32149] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 09/25/2018] [Accepted: 12/18/2018] [Indexed: 12/12/2022]
Abstract
Circadian rhythms regulate several physiological functions and genes controlling the circadian rhythm were found to regulate cell proliferation, cell cycle and apoptosis. Few studies have investigated the role of those circadian genes in prostate cancer occurrence. We aim to investigate the relationship between circadian genes polymorphisms and prostate cancer risk based on data from the EPICAP study, a population-based case-control study including 1,515 men (732 cases / 783 controls) with genotyped data. Odds Ratios (ORs) for association between prostate cancer and circadian gene variants were estimated for each of the 872 single nucleotide polymorphisms (SNPs) in 31 circadian clock genes. We also used a gene-based and pathway-based approach with a focus on the pathway including 9 core circadian genes. Separate analyses were conducted by prostate cancer aggressiveness. The core-circadian pathway (p = 0.0006) was significantly associated to prostate cancer, for either low (p = 0.002) or high (p = 0.01) grade tumor. At the gene level, we observed significant associations between all prostate cancer and NPAS2 and PER1 after correcting for multiple testing, while only RORA was significant for aggressive tumors. At the SNP-level, no significant association was observed. Our findings provide additional evidence of a potential link between genetic variants in circadian genes and prostate cancer risk. Further investigation is warranted to confirm these findings and to better understand the biological pathways involved.
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Affiliation(s)
- Méyomo G Wendeu-Foyet
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | - Yves Koudou
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | - Sylvie Cénée
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | | | | | - Géraldine Cancel-Tassin
- CeRePP, Hopital Tenon, Paris, France.,Sorbonne Université, GRC n°5, ONCOTYPE-URO, AP-HP, Hôpital Tenon, Paris
| | - Olivier Cussenot
- CeRePP, Hopital Tenon, Paris, France.,Sorbonne Université, GRC n°5, ONCOTYPE-URO, AP-HP, Hôpital Tenon, Paris
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Delphine Bacq
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Pierre-Jean Lamy
- Clinique Beau Soleil, Montpellier, France.,Imagenome, Labosud, Montpellier, France
| | - Claire Mulot
- Université Paris Descartes, INSERM UMR-S1147 EPIGENETEC, Paris, France
| | | | - Thérèse Truong
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | - Florence Menegaux
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
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Mathew D, Wang Y, Van Arsdale A, Horwitz SB, McDaid H. Expression of βV-Tubulin in Secretory Cells of the Fallopian Tube Epithelium Marks Cellular Atypia. Int J Gynecol Cancer 2018; 28:363-70. [PMID: 29298171 DOI: 10.1097/IGC.0000000000001160] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Supplemental digital content is available in the text. Objectives Class V Beta tubulin isotype (βV-tubulin) was recently found to have tissue-specific expression patterns in epithelial tissues with secretory function and aberrant expression in tumors. The aims of this pilot study were (a) to examine expression of βV-tubulin in the fallopian tube epithelium (FTE) of patients who underwent salpingectomy, (b) to characterize FTE atypia in high-risk patients with BRCA mutations, and (c) to determine expression of βV-tubulin in serous ovarian neoplasms. Methods Immunohistochemistry, with a highly specific antibody developed in our laboratory against human βV-tubulin, was used to evaluate expression in paraffin-embedded sections of the fallopian tube (n = 82) and tumors (n = 13), from prospectively selected cases, categorized by reason for salpingectomy. Results βV-tubulin, when present, was expressed in secretory cells and essentially never in ciliated cells of the FTE. Histologically “normal” FTE had very rare, scattered βV-tubulin–positive cells; percentage positivity increased in cases of serous ovarian neoplasms. The highest expression was observed in FTE from patients with BRCA mutant breast cancer. Four distinct types of FTE atypia were delineated in patients with known BRCA mutations. In a few additional test cases of ovarian neoplasms, βV-tubulin was highly expressed, with the extent and intensity of staining elevated in high-grade serous carcinomas compared with serous borderline tumors. Conclusions In summary, βV-tubulin was localized to secretory cells of the distal FTE and its expression varied according to the clinical diagnosis. The frequency of these cells and thus expression of βV-tubulin were dramatically enriched in tissue obtained from BRCA mutant cases, which also exhibited pronounced histologic atypia indicative of early predysplastic aberrations. Furthermore, elevated expression of βV-tubulin correlated with poor differentiation status in serous ovarian neoplasms.
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Luu HN, Cai H, Murff HJ, Xiang YB, Cai Q, Li H, Gao J, Yang G, Lan Q, Gao YT, Zheng W, Shu XO. A prospective study of dietary polyunsaturated fatty acids intake and lung cancer risk. Int J Cancer 2018; 143:2225-2237. [PMID: 29905376 DOI: 10.1002/ijc.31608] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [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: 02/24/2018] [Revised: 05/02/2018] [Accepted: 05/03/2018] [Indexed: 12/29/2022]
Abstract
Animal studies have shown that polyunsaturated fatty acids (PUFAs) have antineoplastic and anti-inflammatory properties. Results from epidemiologic studies on specific types of PUFAs for lung cancer risk, however, are inconclusive. We prospectively evaluated the association of specific types of dietary PUFA intakes and lung cancer risk in two population-based cohort studies, the Shanghai Women's Health Study (SWHS) and Shanghai Men's Health Study (SMHS) with a total of 121,970 study participants (i.e., 65,076 women and 56,894 men). Dietary fatty acid intakes were derived from data collected at the baseline using validated food frequency questionnaires (FFQs). Cox proportional hazards model was performed to assess the association between PUFAs and lung cancer risk. Total, saturated and monounsaturated fatty acid intakes were not significantly associated with lung cancer risk. Total PUFAs intake was inversely associated with lung cancer risk [HRs and respective 95% CIs for quintiles 2-5 vs quintile 1: 0.84 (0.71-0.98), 0.97 (0.83-1.13), 0.86 (0.74-1.01) and 0.85 (0.73-1.00), ptrend = 0.11]. However, DHA intake was positively associated with lung cancer risk [HRs and 95% CIs: 1.01 (0.86-1.19), 1.20 (1.03-1.41), 1.21 (1.03-1.42) and 1.24 (1.05-1.47), ptrend = 0.001]. The ratio of n-6 PUFAs to n-3 PUFAs (i.e., 7:1) was inversely associated with lung cancer risk, particularly among never-smokers and adenocarcinoma patients. Total PUFAs and the ratio between n-6 PUFAs and n-3 PUFAs were inversely associated with lung cancer risk. This study highlights an important public health impact of PUFA intakes toward intervention/prevention programs of lung cancer.
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Affiliation(s)
- Hung N Luu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.,Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.,Currently at the Division of Cancer Control and Population Sciences, University of Pittsburgh University of Pittsburgh Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Harvey J Murff
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.,Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Honglan Li
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Jing Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute (NCI), Bethesda, Maryland
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
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Pande M, Joon A, Brewster AM, Chen WV, Hopper JL, Eng C, Shete S, Casey G, Schumacher F, Lin Y, Harrison TA, White E, Ahsan H, Andrulis IL, Whittemore AS, John EM, Ko Win A, Makalic E, Schmidt DF, Kapuscinski MK, Ochs-Balcom HM, Gallinger S, Jenkins MA, Newcomb PA, Lindor NM, Peters U, Amos CI, Lynch PM. Genetic susceptibility markers for a breast-colorectal cancer phenotype: Exploratory results from genome-wide association studies. PLoS One 2018; 13:e0196245. [PMID: 29698419 PMCID: PMC5919670 DOI: 10.1371/journal.pone.0196245] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [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: 01/25/2018] [Accepted: 04/09/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Clustering of breast and colorectal cancer has been observed within some families and cannot be explained by chance or known high-risk mutations in major susceptibility genes. Potential shared genetic susceptibility between breast and colorectal cancer, not explained by high-penetrance genes, has been postulated. We hypothesized that yet undiscovered genetic variants predispose to a breast-colorectal cancer phenotype. METHODS To identify variants associated with a breast-colorectal cancer phenotype, we analyzed genome-wide association study (GWAS) data from cases and controls that met the following criteria: cases (n = 985) were women with breast cancer who had one or more first- or second-degree relatives with colorectal cancer, men/women with colorectal cancer who had one or more first- or second-degree relatives with breast cancer, and women diagnosed with both breast and colorectal cancer. Controls (n = 1769), were unrelated, breast and colorectal cancer-free, and age- and sex- frequency-matched to cases. After imputation, 6,220,060 variants were analyzed using the discovery set and variants associated with the breast-colorectal cancer phenotype at P<5.0E-04 (n = 549, at 60 loci) were analyzed for replication (n = 293 cases and 2,103 controls). RESULTS Multiple correlated SNPs in intron 1 of the ROBO1 gene were suggestively associated with the breast-colorectal cancer phenotype in the discovery and replication data (most significant; rs7430339, Pdiscovery = 1.2E-04; rs7429100, Preplication = 2.8E-03). In meta-analysis of the discovery and replication data, the most significant association remained at rs7429100 (P = 1.84E-06). CONCLUSION The results of this exploratory analysis did not find clear evidence for a susceptibility locus with a pleiotropic effect on hereditary breast and colorectal cancer risk, although the suggestive association of genetic variation in the region of ROBO1, a potential tumor suppressor gene, merits further investigation.
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Affiliation(s)
- Mala Pande
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas, MD, Anderson Cancer Center, Houston, United States of America
| | - Aron Joon
- Department of Biostatistics, The University of Texas, MD, Anderson Cancer Center, Houston, TX, United States of America
| | - Abenaa M. Brewster
- Department of Clinical Cancer Prevention, The University of Texas, MD, Anderson Cancer Center, Houston, TX, United States of America
| | - Wei V. Chen
- Department of Genetics, The University of Texas, MD, Anderson Cancer Center, Houston, TX, United States of America
| | - John L. Hopper
- Epidemiology and Institute of Health and Environment, The University of Melbourne School of Population and Global Health, Parkville, VIC, Australia
| | - Cathy Eng
- Department of GI Medical Oncology, The University of Texas, MD, Anderson Cancer Center, Houston, TX, United States of America
| | - Sanjay Shete
- Department of Biostatistics, The University of Texas, MD, Anderson Cancer Center, Houston, TX, United States of America
- Department of Epidemiology, The University of Texas, MD, Anderson Cancer Center, Houston, TX, United States of America
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America
| | - Fredrick Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, United States of America
| | - Yi Lin
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Tabitha A. Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States of America
| | - Irene L. Andrulis
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Health System, Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Alice S. Whittemore
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Esther M. John
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States of America
- Department of Epidemiology, Cancer Prevention Institute of California, Fremont, CA, United States of America
| | - Aung Ko Win
- Epidemiology and Institute of Health and Environment, The University of Melbourne School of Population and Global Health, Parkville, VIC, Australia
| | - Enes Makalic
- Epidemiology and Institute of Health and Environment, The University of Melbourne School of Population and Global Health, Parkville, VIC, Australia
| | - Daniel F. Schmidt
- Epidemiology and Institute of Health and Environment, The University of Melbourne School of Population and Global Health, Parkville, VIC, Australia
| | - Miroslaw K. Kapuscinski
- Epidemiology and Institute of Health and Environment, The University of Melbourne School of Population and Global Health, Parkville, VIC, Australia
| | - Heather M. Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, United States of America
| | - Steven Gallinger
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Health System, Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Mark A. Jenkins
- Epidemiology and Institute of Health and Environment, The University of Melbourne School of Population and Global Health, Parkville, VIC, Australia
| | - Polly A. Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Noralane M. Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, United States of America
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Christopher I. Amos
- Department of Community and Family Medicine, Dartmouth College, Lebanon, NH, United States of America
| | - Patrick M. Lynch
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas, MD, Anderson Cancer Center, Houston, United States of America
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Zhou Y, Cheng S, Fathy AH, Qian H, Zhao Y. Prognostic value of platelet-to-lymphocyte ratio in pancreatic cancer: a comprehensive meta-analysis of 17 cohort studies. Onco Targets Ther 2018; 11:1899-1908. [PMID: 29670365 PMCID: PMC5896656 DOI: 10.2147/ott.s154162] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background and aims Several studies were conducted to explore the prognostic value of platelet-to-lymphocyte ratio (PLR) in pancreatic cancer and have reported contradictory results. This study aims to summarize the prognostic role of PLR in pancreatic cancer. Materials and methods Embase, PubMed and Cochrane Library were completely searched. The cohort studies focusing on the prognostic role of PLR in pancreatic cancer were eligible. The overall survival (OS) and progression-free survival (PFS) were analyzed. Results Fifteen papers containing 17 cohort studies with pancreatic cancer were identified. The results showed patients that with low PLR might have longer OS when compared to the patients with high PLR (hazard ratio=1.28, 95% CI=1.17–1.40, P<0.00001; I2=42%). Similar results were observed in the subgroup analyses of OS, which was based on the analysis model, ethnicity, sample size and cut-off value. Further analyses based on the adjusted potential confounders were conducted, including CA199, neutrophil-to-lymphocyte ratio, modified Glasgow Prognostic Score, albumin, C-reactive protein, Eastern Cooperative Oncology Group, stage, tumor size, nodal involvement, tumor differentiation, margin status, age and gender, which confirmed that low PLR was a protective factor in pancreatic cancer. In addition, low PLR was significantly associated with longer PFS when compared to high PLR in pancreatic cancer (hazard ratio=1.27, 95% CI=1.03–1.57, P=0.03; I2=33%). Conclusion In conclusion, it was found that high PLR is an unfavorable predictor of OS and PFS in patients with pancreatic cancer, and PLR is a promising prognostic biomarker for pancreatic cancer.
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Affiliation(s)
- Yongping Zhou
- Department of Hepatobiliary, Wuxi Second Hospital, Nanjing Medical University, Wuxi, China
| | - Sijin Cheng
- Tongji University School of Medicine, Shanghai, China
| | | | - Haixin Qian
- Department of Hepatobiliary, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yongzhao Zhao
- Department of Hepatobiliary, Wuxi Second Hospital, Nanjing Medical University, Wuxi, China.,Tongji University School of Medicine, Shanghai, China
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Abstract
Genome-wide association studies (GWAS) were successful to identify genetic factors robustly associated with lung cancer. This review aims to synthesize the literature in this field and accelerate the translation of GWAS discoveries into results that are closer to clinical applications. A chronologic presentation of published GWAS on lung cancer susceptibility, survival, and response to treatment is presented. The most important results are tabulated to provide a concise overview in one read. GWAS have reported 45 lung cancer susceptibility loci with varying strength of evidence and highlighted suspected causal genes at each locus. Some genetic risk loci have been refined to more homogeneous subgroups of lung cancer patients in terms of histologic subtypes, smoking status, gender, and ethnicity. Overall, these discoveries are an important step for future development of new therapeutic targets and biomarkers to personalize and improve the quality of care for patients. GWAS results are on the edge of offering new tools for targeted screening in high-risk individuals, but more research is needed if GWAS are to pay off the investment. Complementary genomic datasets and functional studies are needed to refine the underlying molecular mechanisms of lung cancer preliminarily revealed by GWAS and reach results that are medically actionable. Cancer Epidemiol Biomarkers Prev; 27(4); 363-79. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."
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Affiliation(s)
- Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec, Canada.
- Department of Molecular Medicine, Laval University, Quebec, Canada
| | - Christopher I Amos
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
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Hong CC, Sucheston-Campbell LE, Liu S, Hu Q, Yao S, Lunetta KL, Haddad SA, Ruiz-Narváez EA, Bensen JT, Cheng TYD, Bandera EV, Rosenberg LA, Haiman CA, Lee K, Evans SS, Abrams SI, Repasky EA, Olshan AF, Palmer JR, Ambrosone CB. Genetic Variants in Immune-Related Pathways and Breast Cancer Risk in African American Women in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 2018; 27:321-330. [PMID: 29339359 PMCID: PMC5835191 DOI: 10.1158/1055-9965.epi-17-0434] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [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: 05/18/2017] [Revised: 08/23/2017] [Accepted: 01/02/2018] [Indexed: 11/16/2022] Open
Abstract
Background: Constitutional immunity shaped by exposure to endemic infectious diseases and parasitic worms in Sub-Saharan Africa may play a role in the etiology of breast cancer among African American (AA) women.Methods: A total of 149,514 gene variants in 433 genes across 45 immune pathways were analyzed in the AMBER consortium among 3,663 breast cancer cases and 4,687 controls. Gene-based pathway analyses were conducted using the adaptive rank truncated product statistic for overall breast cancer risk, and risk by estrogen receptor (ER) status. Unconditional logistic regression analysis was used to estimate ORs and 95% confidence intervals (CIs) for single variants.Results: The top pathways were Interleukin binding (P = 0.01), Biocarta TNFR2 (P = 0.005), and positive regulation of cytokine production (P = 0.024) for overall, ER+, and ER- cancers, respectively. The most significant gene was IL2RB (P = 0.001) for overall cancer, with rs228952 being the top variant identified (OR = 0.85; 95% CI, 0.79-0.92). Only BCL3 contained a significant variant for ER+ breast cancer. Variants in IL2RB, TLR6, IL8, PRKDC, and MAP3K1 were associated with ER- disease. The only genes showing heterogeneity between ER- and ER+ cancers were TRAF1, MAP3K1, and MAPK3 (P ≤ 0.02). We also noted genes associated with autoimmune and atopic disorders.Conclusions: Findings from this study suggest that genetic variants in immune pathways are relevant to breast cancer susceptibility among AA women, both for ER+ and ER- breast cancers.Impact: Results from this study extend our understanding of how inherited genetic variation in immune pathways is relevant to breast cancer susceptibility. Cancer Epidemiol Biomarkers Prev; 27(3); 321-30. ©2018 AACR.
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Affiliation(s)
- Chi-Chen Hong
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
| | | | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York
| | - Qiang Hu
- Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Stephen A Haddad
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | | | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Ting-Yuan David Cheng
- Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainsville, Florida
| | - Elisa V Bandera
- Cancer Prevention and Control, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Lynn A Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California
| | - Kelvin Lee
- Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York
| | - Sharon S Evans
- Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York
| | - Scott I Abrams
- Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York
| | | | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
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McCall MK, Stanfill AG, Skrovanek E, Pforr JR, Wesmiller SW, Conley YP. Symptom Science: Omics Supports Common Biological Underpinnings Across Symptoms. Biol Res Nurs 2018; 20:183-191. [PMID: 29325450 DOI: 10.1177/1099800417751069] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
For precision health care to be successful, an in-depth understanding of the biological mechanisms for symptom development and severity is essential. Omics-based research approaches facilitate identification of the biological underpinnings of symptoms. We reviewed literature for omics-based approaches and exemplar symptoms (sleep disruption, cognitive impairment, fatigue, gastrointestinal [GI] distress, and pain) to identify genes associated with the symptom or symptoms across disease processes. The review yielded 27 genes associated with more than one symptom. ABCB1 (MDR1), APOE, BDNF, CNR1, COMT, DAT1 (SLC6A3), DRD4, ESR1, HLA-DRB1, IL10, IL1B, IL6, LTA, PTGS2 (COX-2), SLC6A4, and TNF were associated with cognitive impairment and pain, which had the most genes in common. COMT and TNF were related to all symptoms except sleep disruption. IL1B was associated with all symptoms except cognitive impairment. IL10, IL1A, IL1B, IL1RN, IL6, and IL8 (CXCL8) were linked with all the exemplar symptoms in various combinations. ABCB1 (MDR1) and SLC6A4 were associated with cognitive impairment, GI distress, and pain. IL10 and IL6 were linked to cognitive impairment, fatigue, and pain. APOE and BDNF were associated with sleep disruption, cognitive impairment, and pain. The 27 genes were associated with canonical pathways including immune, inflammatory, and cell signaling. The pathway analysis generated a 15-gene model from the 27 as well as 3 networks, which incorporated new candidate genes. The findings support the hypothesis of overlapping biological underpinnings across the exemplar symptoms. Candidate genes may be targeted in future omics research to identify mechanisms of co-occurring symptoms for potential precision treatments.
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Affiliation(s)
- Maura K McCall
- 1 University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
| | | | | | | | | | - Yvette P Conley
- 1 University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
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Chen S, Zheng P, Wang W, Yi M, Chen P, Cai J, Li J, Peng Q, Ban Y, Zhou Y, Zeng Z, Li X, Xiong W, Li G, Xiang B. Abberent expression of NOR1 protein in tumor associated macrophages contributes to the development of DEN-induced hepatocellular carcinoma. J Cell Physiol 2018; 233:5002-5013. [PMID: 29227538 DOI: 10.1002/jcp.26349] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [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: 08/17/2017] [Accepted: 11/29/2017] [Indexed: 12/13/2022]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary tumor of the liver and the sixth most common lethal cancer worldwide. Recent evidences demonstrated that oxidored nitro domain containing protein 1 (NOR1), a putative tumor suppressor gene, is overexpressed in human HCC tissues. However, the role of NOR1 in HCC development remains unclear. Here, we described that NOR1 protein level is elevated in HCC and is associated with poorer clinical outcome. However, ecotopic overexpression of NOR1 protein in human HCC cell line HepG2 cells had no effect on cells proliferation, migration, and clonality. Immunofluoresence assay indicates NOR1 protein is mainly expressed at CD163 positive M2 tumor associated macrophages (TAMs). To explore the role of NOR1 in the development of HCC, we interrogated the susceptibility of mice lacking the NOR1 gene to DEN-induced hepatocarcinogenesis. NOR1 deficient mice displayed resistance to DEN-induced HCC. We also demonstrate that mNOR1 protein is enriched in F4/80 positive Kupffer cells (KCs) infiltrated in DEN induced murine HCC tissues. Loss of NOR1 led to increase of iNOS whereas decrease of Arg1, Ym1 expression in KCs. Overexpression of NOR1 in THP-1 macrophages led to decrease of iNOS but increase of Arg1. Mechanistic investigations showed that inflammatory cytokines IL-6, TNF-α production, and NF-κB activation were also decreased in NOR1 knockout mice exposed to DEN treatment. Our data suggested that NOR1 is overexpressed in HCC associated TAMs and promotes M2 alternative polarization. Genetic deletion of NOR1 in mice leads to impairment of IL-6 production and NF-κB activation, which in turn attenuates DEN-induced HCC development.
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Affiliation(s)
- Shengnan Chen
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Pan Zheng
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Wei Wang
- Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Mei Yi
- Department of Dermatology, Xiangya hospital of Central South University, Changsha, China
| | - Pan Chen
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China
| | - Jing Cai
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Junjun Li
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Qian Peng
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Yuanyuan Ban
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Ying Zhou
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Zhaoyang Zeng
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Xiaoling Li
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Wei Xiong
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Guiyuan Li
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
| | - Bo Xiang
- Hunan Provincial Cancer Hospital and Cancer Hospital Affiliated to Xiangya Medical School, The Central South University, Changsha, Hunan, China.,Cancer Research Institute, Xiangya School of Medicine, Central South University, Changsha, China
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Gu F, Zhang H, Hyland PL, Berndt S, Gapstur SM, Wheeler W, Ellipse Consortium T, Amos CI, Bezieau S, Bickeböller H, Brenner H, Brennan P, Chang-Claude J, Conti DV, Doherty JA, Gruber SB, Harrison TA, Hayes RB, Hoffmeister M, Houlston RS, Hung RJ, Jenkins MA, Kraft P, Lawrenson K, McKay J, Markt S, Mucci L, Phelan CM, Qu C, Risch A, Rossing MA, Wichmann HE, Shi J, Schernhammer E, Yu K, Landi MT, Caporaso NE. Inherited variation in circadian rhythm genes and risks of prostate cancer and three other cancer sites in combined cancer consortia. Int J Cancer 2017; 141:1794-1802. [PMID: 28699174 PMCID: PMC5907928 DOI: 10.1002/ijc.30883] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [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: 03/02/2017] [Revised: 05/15/2017] [Accepted: 06/16/2017] [Indexed: 12/20/2022]
Abstract
Circadian disruption has been linked to carcinogenesis in animal models, but the evidence in humans is inconclusive. Genetic variation in circadian rhythm genes provides a tool to investigate such associations. We examined associations of genetic variation in nine core circadian rhythm genes and six melatonin pathway genes with risk of colorectal, lung, ovarian and prostate cancers using data from the Genetic Associations and Mechanisms in Oncology (GAME-ON) network. The major results for prostate cancer were replicated in the Prostate, Lung, Colorectal and Ovarian (PLCO) cancer screening trial, and for colorectal cancer in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). The total number of cancer cases and controls was 15,838/18,159 for colorectal, 14,818/14,227 for prostate, 12,537/17,285 for lung and 4,369/9,123 for ovary. For each cancer site, we conducted gene-based and pathway-based analyses by applying the summary-based Adaptive Rank Truncated Product method (sARTP) on the summary association statistics for each SNP within the candidate gene regions. Aggregate genetic variation in circadian rhythm and melatonin pathways were significantly associated with the risk of prostate cancer in data combining GAME-ON and PLCO, after Bonferroni correction (ppathway < 0.00625). The two most significant genes were NPAS2 (pgene = 0.0062) and AANAT (pgene = 0.00078); the latter being significant after Bonferroni correction. For colorectal cancer, we observed a suggestive association with the circadian rhythm pathway in GAME-ON (ppathway = 0.021); this association was not confirmed in GECCO (ppathway = 0.76) or the combined data (ppathway = 0.17). No significant association was observed for ovarian and lung cancer. These findings support a potential role for circadian rhythm and melatonin pathways in prostate carcinogenesis. Further functional studies are needed to better understand the underlying biologic mechanisms.
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Affiliation(s)
- Fangyi Gu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Paula L Hyland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | | | | | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center Göttingen, Göttingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V Conti
- Keck School of Medicine, University of South California, Los Angeles, CA
| | | | - Stephen B Gruber
- Keck School of Medicine, University of South California, Los Angeles, CA
| | - Tabitha A Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Richard B Hayes
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | | | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | - Sarah Markt
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | - Lorelei Mucci
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | - Catherine M Phelan
- Department of Cancer Epidemiology, Population Sciences Division, Moffitt Cancer Center, Tampa, FL
| | - Conghui Qu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Angela Risch
- Division of Molecular Biology, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
- Translational Lung Research Center, Heidelberg, Germany within the German Center for Lung Research (DZL), Giessen, Germany
- Division of Epigenomics and Cancer Risk Factors, DKFZ German Cancer Research Center, Heidelberg, Germany
| | - Mary Anne Rossing
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, University of Munich, Munich, Bavaria, Germany
- Helmholtz Center Munich, Institute of Epidemiology II, Neuherberg, Germany
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Eva Schernhammer
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Medical University of Vienna, Vienna, Austria
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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40
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Dimitrakopoulou VI, Tsilidis KK, Haycock PC, Dimou NL, Al-Dabhani K, Martin RM, Lewis SJ, Gunter MJ, Mondul A, Shui IM, Theodoratou E, Nimptsch K, Lindström S, Albanes D, Kühn T, Key TJ, Travis RC, Vimaleswaran KS, Kraft P, Pierce BL, Schildkraut JM. Circulating vitamin D concentration and risk of seven cancers: Mendelian randomisation study. BMJ 2017; 359:j4761. [PMID: 29089348 PMCID: PMC5666592 DOI: 10.1136/bmj.j4761] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/26/2017] [Indexed: 12/12/2022]
Abstract
Objective To determine if circulating concentrations of vitamin D are causally associated with risk of cancer.Design Mendelian randomisation study.Setting Large genetic epidemiology networks (the Genetic Associations and Mechanisms in Oncology (GAME-ON), the Genetic and Epidemiology of Colorectal Cancer Consortium (GECCO), and the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortiums, and the MR-Base platform).Participants 70 563 cases of cancer (22 898 prostate cancer, 15 748 breast cancer, 12 537 lung cancer, 11 488 colorectal cancer, 4369 ovarian cancer, 1896 pancreatic cancer, and 1627 neuroblastoma) and 84 418 controls.Exposures Four single nucleotide polymorphisms (rs2282679, rs10741657, rs12785878 and rs6013897) associated with vitamin D were used to define a multi-polymorphism score for circulating 25-hydroxyvitamin D (25(OH)D) concentrations.Main outcomes measures The primary outcomes were the risk of incident colorectal, breast, prostate, ovarian, lung, and pancreatic cancer and neuroblastoma, which was evaluated with an inverse variance weighted average of the associations with specific polymorphisms and a likelihood based approach. Secondary outcomes based on cancer subtypes by sex, anatomic location, stage, and histology were also examined.Results There was little evidence that the multi-polymorphism score of 25(OH)D was associated with risk of any of the seven cancers or their subtypes. Specifically, the odds ratios per 25 nmol/L increase in genetically determined 25(OH)D concentrations were 0.92 (95% confidence interval 0.76 to 1.10) for colorectal cancer, 1.05 (0.89 to 1.24) for breast cancer, 0.89 (0.77 to 1.02) for prostate cancer, and 1.03 (0.87 to 1.23) for lung cancer. The results were consistent with the two different analytical approaches, and the study was powered to detect relative effect sizes of moderate magnitude (for example, 1.20-1.50 per 25 nmol/L decrease in 25(OH)D for most primary cancer outcomes. The Mendelian randomisation assumptions did not seem to be violated.Conclusions There is little evidence for a linear causal association between circulating vitamin D concentration and risk of various types of cancer, though the existence of causal clinically relevant effects of low magnitude cannot be ruled out. These results, in combination with previous literature, provide evidence that population-wide screening for vitamin D deficiency and subsequent widespread vitamin D supplementation should not currently be recommended as a strategy for primary cancer prevention.
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Affiliation(s)
- Vasiliki I Dimitrakopoulou
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
- School of Mathematics and Statistics, University College Dublin, Dublin, Ireland
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Philip C Haycock
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Niki L Dimou
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Kawthar Al-Dabhani
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Richard M Martin
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- National Institute for Health Research (NIHR) Bristol Nutritional Biomedical Research Unit, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Sarah J Lewis
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Marc J Gunter
- International Agency for Research on Cancer, Lyon, France
| | - Alison Mondul
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Irene M Shui
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Evropi Theodoratou
- Centre of Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburg, Edinburgh, UK
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Centre for Molecular Medicine (MDC), Berlin, Germany
| | - Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Karani Santhanakrishnan Vimaleswaran
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, UK
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Brandon L Pierce
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
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41
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Jin D, Liu T, Dong W, Zhang Y, Wang S, Xie R, Wang B, Cao H. Dietary feeding of freeze-dried whole cranberry inhibits intestinal tumor development in Apcmin/+ mice. Oncotarget 2017; 8:97787-97800. [PMID: 29228651 PMCID: PMC5716691 DOI: 10.18632/oncotarget.22081] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 10/11/2017] [Indexed: 12/22/2022] Open
Abstract
It is increasingly perceived that dietary components have been linked with the prevention of intestinal cancer. Cranberry is a rich source of phenolic constituents and non-digestible fermentable dietary fiber, which shows anti-proliferation effect in colorectal cancer cells. Herein, we investigated the efficacy of long-term cranberry diet on intestinal adenoma formation in Apcmin/+ mice. Apcmin/+ mice were fed a basal diet or a diet containing 20% (w/w) freeze-dried whole cranberry powder for 12 weeks, and the number and size of tumors were recorded after sacrifice. Our results showed that cranberry strongly prevented the growth of intestinal tumors by 33.1%. Decreased cell proliferation and increased apoptosis were observed in tumors of cranberry-fed mice. Cranberry diet reduced the expression profile of colonic inflammatory cytokines (IFN-γ, IL-1β and TNF-α) accompanied with increased levels of anti-inflammatory cytokines (IL-4 and IL-10). Moreover, the number of colonic goblet cells and MUC2 production were increased, and the intestinal barrier function was also improved. In addition, cranberry diet increased caecal short chain fatty acids concentrations, and down-regulated epidermal growth factor receptor signaling pathway. These data firstly show the efficacy and associated mechanisms of cranberry diet on intestinal tumor growth in Apcmin/+ mice, suggesting its chemopreventive potential against intestinal cancer.
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Affiliation(s)
- Duochen Jin
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Tianyu Liu
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Wenxiao Dong
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Yujie Zhang
- Department of Pathology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Sinan Wang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Runxiang Xie
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Bangmao Wang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin, China
| | - Hailong Cao
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin, China
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42
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Steinhoff G, Nesteruk J, Wolfien M, Große J, Ruch U, Vasudevan P, Müller P. Stem cells and heart disease - Brake or accelerator? Adv Drug Deliv Rev 2017; 120:2-24. [PMID: 29054357 DOI: 10.1016/j.addr.2017.10.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [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: 07/28/2017] [Revised: 10/12/2017] [Accepted: 10/13/2017] [Indexed: 12/11/2022]
Abstract
After two decades of intensive research and attempts of clinical translation, stem cell based therapies for cardiac diseases are not getting closer to clinical success. This review tries to unravel the obstacles and focuses on underlying mechanisms as the target for regenerative therapies. At present, the principal outcome in clinical therapy does not reflect experimental evidence. It seems that the scientific obstacle is a lack of integration of knowledge from tissue repair and disease mechanisms. Recent insights from clinical trials delineate mechanisms of stem cell dysfunction and gene defects in repair mechanisms as cause of atherosclerosis and heart disease. These findings require a redirection of current practice of stem cell therapy and a reset using more detailed analysis of stem cell function interfering with disease mechanisms. To accelerate scientific development the authors suggest intensifying unified computational data analysis and shared data knowledge by using open-access data platforms.
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Affiliation(s)
- Gustav Steinhoff
- University Medicine Rostock, Department of Cardiac Surgery, Reference and Translation Center for Cardiac Stem Cell Therapy, University Medical Center Rostock, Schillingallee 35, 18055 Rostock, Germany.
| | - Julia Nesteruk
- University Medicine Rostock, Department of Cardiac Surgery, Reference and Translation Center for Cardiac Stem Cell Therapy, University Medical Center Rostock, Schillingallee 35, 18055 Rostock, Germany.
| | - Markus Wolfien
- University Rostock, Institute of Computer Science, Department of Systems Biology and Bioinformatics, Ulmenstraße 69, 18057 Rostock, Germany.
| | - Jana Große
- University Medicine Rostock, Department of Cardiac Surgery, Reference and Translation Center for Cardiac Stem Cell Therapy, University Medical Center Rostock, Schillingallee 35, 18055 Rostock, Germany.
| | - Ulrike Ruch
- University Medicine Rostock, Department of Cardiac Surgery, Reference and Translation Center for Cardiac Stem Cell Therapy, University Medical Center Rostock, Schillingallee 35, 18055 Rostock, Germany.
| | - Praveen Vasudevan
- University Medicine Rostock, Department of Cardiac Surgery, Reference and Translation Center for Cardiac Stem Cell Therapy, University Medical Center Rostock, Schillingallee 35, 18055 Rostock, Germany.
| | - Paula Müller
- University Medicine Rostock, Department of Cardiac Surgery, Reference and Translation Center for Cardiac Stem Cell Therapy, University Medical Center Rostock, Schillingallee 35, 18055 Rostock, Germany.
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43
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Lindström S, Finucane H, Bulik-Sullivan B, Schumacher FR, Amos CI, Hung RJ, Rand K, Gruber SB, Conti D, Permuth JB, Lin HY, Goode EL, Sellers TA, Amundadottir LT, Stolzenberg-Solomon R, Klein A, Petersen G, Risch H, Wolpin B, Hsu L, Huyghe JR, Chang-Claude J, Chan A, Berndt S, Eeles R, Easton D, Haiman CA, Hunter DJ, Neale B, Price AL, Kraft P. Quantifying the Genetic Correlation between Multiple Cancer Types. Cancer Epidemiol Biomarkers Prev 2017; 26:1427-1435. [PMID: 28637796 PMCID: PMC5582139 DOI: 10.1158/1055-9965.epi-17-0211] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [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: 03/08/2017] [Revised: 05/03/2017] [Accepted: 06/06/2017] [Indexed: 01/01/2023] Open
Abstract
Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits.Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10-6). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer.Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors.Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427-35. ©2017 AACR.
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Affiliation(s)
- Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, Washington.
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Hilary Finucane
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Brendan Bulik-Sullivan
- The Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio
- Seidman Cancer Center, University Hospitals, Cleveland, Ohio
| | - Christopher I Amos
- Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Kristin Rand
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Stephen B Gruber
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - David Conti
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Gastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Hui-Yi Lin
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Alison Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Gloria Petersen
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Harvey Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Brian Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jeroen R Huyghe
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andrew Chan
- Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Rosalind Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Benjamin Neale
- The Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Alkes L Price
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Toth R, Scherer D, Kelemen LE, Risch A, Hazra A, Balavarca Y, Issa JPJ, Moreno V, Eeles RA, Ogino S, Wu X, Ye Y, Hung RJ, Goode EL, Ulrich CM. Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer Epidemiol Biomarkers Prev 2017; 26:816-825. [PMID: 28115406 PMCID: PMC6054308 DOI: 10.1158/1055-9965.epi-16-0728] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [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: 09/09/2016] [Revised: 12/16/2016] [Accepted: 12/19/2016] [Indexed: 11/16/2022] Open
Abstract
Background: Epigenetic disturbances are crucial in cancer initiation, potentially with pleiotropic effects, and may be influenced by the genetic background.Methods: In a subsets (ASSET) meta-analytic approach, we investigated associations of genetic variants related to epigenetic mechanisms with risks of breast, lung, colorectal, ovarian and prostate carcinomas using 51,724 cases and 52,001 controls. False discovery rate-corrected P values (q values < 0.05) were considered statistically significant.Results: Among 162,887 imputed or genotyped variants in 555 candidate genes, SNPs in eight genes were associated with risk of more than one cancer type. For example, variants in BABAM1 were confirmed as a susceptibility locus for squamous cell lung, overall breast, estrogen receptor (ER)-negative breast, and overall prostate, and overall serous ovarian cancer; the most significant variant was rs4808076 [OR = 1.14; 95% confidence interval (CI) = 1.10-1.19; q = 6.87 × 10-5]. DPF1 rs12611084 was inversely associated with ER-negative breast, endometrioid ovarian, and overall and aggressive prostate cancer risk (OR = 0.93; 95% CI = 0.91-0.96; q = 0.005). Variants in L3MBTL3 were associated with colorectal, overall breast, ER-negative breast, clear cell ovarian, and overall and aggressive prostate cancer risk (e.g., rs9388766: OR = 1.06; 95% CI = 1.03-1.08; q = 0.02). Variants in TET2 were significantly associated with overall breast, overall prostate, overall ovarian, and endometrioid ovarian cancer risk, with rs62331150 showing bidirectional effects. Analyses of subpathways did not reveal gene subsets that contributed disproportionately to susceptibility.Conclusions: Functional and correlative studies are now needed to elucidate the potential links between germline genotype, epigenetic function, and cancer etiology.Impact: This approach provides novel insight into possible pleiotropic effects of genes involved in epigenetic processes. Cancer Epidemiol Biomarkers Prev; 26(6); 816-25. ©2017 AACR.
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Affiliation(s)
- Reka Toth
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dominique Scherer
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Linda E Kelemen
- Medical University of South Carolina and Hollings Cancer Center, Charleston, South Carolina
| | - Angela Risch
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Cancer Research and Epigenetics, Department of Molecular Biology, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Aditi Hazra
- Brigham and Women's Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Yesilda Balavarca
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Victor Moreno
- Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Catalonia, Spain
| | | | - Shuji Ogino
- Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- University of Toronto, Toronto, Canada
| | - Ellen L Goode
- Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Cornelia M Ulrich
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Fred Hutchinson Cancer Research Center, Seattle, Washington
- Huntsman Cancer Institute, Salt Lake City, Utah
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45
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Loo LWM, Lemire M, Le Marchand L. In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants. BMC Genomics 2017; 18:381. [PMID: 28506205 PMCID: PMC5432975 DOI: 10.1186/s12864-017-3750-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 05/02/2017] [Indexed: 02/08/2023] Open
Abstract
Background Genome-wide association studies have identified 55 genetic variants associated with colorectal cancer risk to date. However, potential causal genes and pathways regulated by these risk variants remain to be characterized. Therefore, we performed gene ontology enrichment and pathway analyses to determine if there was an enrichment of genes in proximity to the colorectal cancer risk variants that could further elucidate the probable causal genes and pathways involved in colorectal cancer biology. Results For the 65 unique genes that either contained, or were immediately neighboring up- and downstream, of these variants there was a significant enrichment for the KEGG pathway, Pathways in Cancer (p-value = 2.67 × 10−5) and an enrichment for multiple biological processes (FDR < 0.05), such as cell junction organization, tissue morphogenesis, regulation of SMAD protein phosphorylation, and odontogenesis identified through Gene Ontology analysis. To identify potential causal genes, we conducted a cis-expression quantitative trait loci (cis-eQTL) analysis using gene expression and genotype data from the Genotype-Tissue Expression (GTEx) Project portal in normal sigmoid (n = 124) and transverse (n = 169) colon tissue. In addition, we also did a cis-eQTL analysis on colorectal tumor tissue (n = 147) from The Cancer Genome Atlas (TCGA). We identified two risk alleles that were significant cis-eQTLs for FADS2 (rs1535) and COLCA1 and 2 (rs3802842) genes in the normal transverse colon tissue and two risk alleles that were significant cis-eQTLs for the CABLES2 (rs2427308) and LIPG (rs7229639) genes in the normal sigmoid colon tissue, but not tumor tissue. Conclusions Our data reaffirm the potential to identify an enrichment for biological processes and candidate causal genes based on expression profiles correlated with genetic risk alleles of colorectal cancer, however, the identification of these significant cis-eQTLs is context and tissue specific. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3750-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lenora W M Loo
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, MaRS Centre, 661 University Avenue, Suite 510, Toronto, ON, M5G 0A3, Canada
| | - Loïc Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
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Maslah N, Cassinat B, Verger E, Kiladjian JJ, Velazquez L. The role of LNK/SH2B3 genetic alterations in myeloproliferative neoplasms and other hematological disorders. Leukemia 2017; 31:1661-1670. [PMID: 28484264 DOI: 10.1038/leu.2017.139] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 04/10/2017] [Accepted: 04/24/2017] [Indexed: 12/11/2022]
Abstract
Malignant hematological diseases are mainly because of the occurrence of molecular abnormalities leading to the deregulation of signaling pathways essential for precise cell behavior. High-resolution genome analysis using microarray and large-scale sequencing have helped identify several important acquired gene mutations that are responsible for such signaling deregulations across different hematological malignancies. In particular, the genetic landscape of classical myeloproliferative neoplasms (MPNs) has been in large part completed with the identification of driver mutations (targeting the cytokine receptor/Janus-activated kinase 2 (JAK2) pathway) that determine MPN phenotype, as well as additional mutations mainly affecting the regulation of gene expression (epigenetics or splicing regulators) and signaling. At present, most efforts concentrate in understanding how all these genetic alterations intertwine together to influence disease evolution and/or dictate clinical phenotype in order to use them to personalize diagnostic and clinical care. However, it is now evident that factors other than somatic mutations also play an important role in MPN disease initiation and progression, among which germline predisposition (single-nucleotide polymorphisms and haplotypes) may strongly influence the occurrence of MPNs. In this context, the LNK inhibitory adaptor protein encoded by the LNK/SH2B adaptor protein 3 (SH2B3) gene is the target of several genetic variations, acquired or inherited in MPNs, lymphoid leukemia and nonmalignant hematological diseases, underlying its importance in these pathological processes. As LNK adaptor is a key regulator of normal hematopoiesis, understanding the consequences of LNK variants on its protein functions and on driver or other mutations could be helpful to correlate genotype and phenotype of patients and to develop therapeutic strategies to target this molecule. In this review we summarize the current knowledge of LNK function in normal hematopoiesis, the different SH2B3 mutations reported to date and discuss how these genetic variations may influence the development of hematological malignancies.
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Affiliation(s)
- N Maslah
- APHP, Laboratoire de Biologie Cellulaire, Hôpital Saint-Louis, Paris, France.,Inserm UMRS 1131, IUH, Université Paris-Diderot, Paris, France
| | - B Cassinat
- APHP, Laboratoire de Biologie Cellulaire, Hôpital Saint-Louis, Paris, France.,Inserm UMRS 1131, IUH, Université Paris-Diderot, Paris, France
| | - E Verger
- APHP, Laboratoire de Biologie Cellulaire, Hôpital Saint-Louis, Paris, France.,Inserm UMRS 1131, IUH, Université Paris-Diderot, Paris, France
| | - J-J Kiladjian
- Inserm UMRS 1131, IUH, Université Paris-Diderot, Paris, France.,APHP, Centre d'investigations Cliniques, Hôpital Saint-Louis, Paris, France
| | - L Velazquez
- INSERM UMRS-MD1197, Institut André Lwoff/Université Paris XI, Hôpital Paul Brousse, Villejuif, France
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Zeng JH, Liang L, He RQ, Tang RX, Cai XY, Chen JQ, Luo DZ, Chen G. Comprehensive investigation of a novel differentially expressed lncRNA expression profile signature to assess the survival of patients with colorectal adenocarcinoma. Oncotarget 2017; 8:16811-16828. [PMID: 28187432 PMCID: PMC5370003 DOI: 10.18632/oncotarget.15161] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 01/24/2017] [Indexed: 02/06/2023] Open
Abstract
Growing evidence has shown that long non-coding RNAs (lncRNAs) can serve as prospective markers for survival in patients with colorectal adenocarcinoma. However, most studies have explored a limited number of lncRNAs in a small number of cases. The objective of this study is to identify a panel of lncRNA signature that could evaluate the prognosis in colorectal adenocarcinoma based on the data from The Cancer Genome Atlas (TCGA). Altogether, 371 colon adenocarcinoma (COAD) patients with complete clinical data were included in our study as the test cohort. A total of 578 differentially expressed lncRNAs (DELs) were observed, among which 20 lncRNAs closely related to overall survival (OS) in COAD patients were identified using a Cox proportional regression model. A risk score formula was developed to assess the prognostic value of the lncRNA signature in COAD with four lncRNAs (LINC01555, RP11-610P16.1, RP11-108K3.1 and LINC01207), which were identified to possess the most remarkable correlation with OS in COAD patients. COAD patients with a high-risk score had poorer OS than those with a low-risk score. The multivariate Cox regression analyses confirmed that the four-lncRNA signature could function as an independent prognostic indicator for COAD patients, which was largely mirrored in the validating cohort with rectal adenocarcinoma (READ) containing 158 cases. In addition, the correlative genes of LINC01555 and LINC01207 were enriched in the cAMP signaling and mucin type O-Glycan biosynthesis pathways. With further validation in the future, our study indicates that the four-lncRNA signature could serve as an independent biomarker for survival of colorectal adenocarcinoma.
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Affiliation(s)
- Jiang-Hui Zeng
- Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Liang Liang
- Department of General Surgery, First Affiliated Hospital of Guangxi Medical University (West Branch), Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Rong-Quan He
- Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Rui-Xue Tang
- Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Xiao-Yong Cai
- Department of General Surgery, First Affiliated Hospital of Guangxi Medical University (West Branch), Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Jun-Qiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Dian-Zhong Luo
- Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
| | - Gang Chen
- Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, P. R. China
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Kar SP, Adler E, Tyrer J, Hazelett D, Anton-Culver H, Bandera EV, Beckmann MW, Berchuck A, Bogdanova N, Brinton L, Butzow R, Campbell I, Carty K, Chang-Claude J, Cook LS, Cramer DW, Cunningham JM, Dansonka-Mieszkowska A, Doherty JA, Dörk T, Dürst M, Eccles D, Fasching PA, Flanagan J, Gentry-Maharaj A, Glasspool R, Goode EL, Goodman MT, Gronwald J, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Huntsman DG, Jensen A, Karlan BY, Kelemen LE, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Lambrechts D, Levine DA, Li Q, Lissowska J, Lu KH, Lubiński J, Massuger LFAG, McGuire V, McNeish I, Menon U, Modugno F, Monteiro AN, Moysich KB, Ness RB, Nevanlinna H, Paul J, Pearce CL, Pejovic T, Permuth JB, Phelan C, Pike MC, Poole EM, Ramus SJ, Risch HA, Rossing MA, Salvesen HB, Schildkraut JM, Sellers TA, Sherman M, Siddiqui N, Sieh W, Song H, Southey M, Terry KL, Tworoger SS, Walsh C, Wentzensen N, Whittemore AS, Wu AH, Yang H, Zheng W, Ziogas A, Freedman ML, Gayther SA, Pharoah PDP, Lawrenson K. Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci. Br J Cancer 2017; 116:524-535. [PMID: 28103614 PMCID: PMC5318969 DOI: 10.1038/bjc.2016.426] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 11/23/2016] [Accepted: 11/29/2016] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified 18 loci associated with serous ovarian cancer (SOC) susceptibility but the biological mechanisms driving these findings remain poorly characterised. Germline cancer risk loci may be enriched for target genes of transcription factors (TFs) critical to somatic tumorigenesis. METHODS All 615 TF-target sets from the Molecular Signatures Database were evaluated using gene set enrichment analysis (GSEA) and three GWAS for SOC risk: discovery (2196 cases/4396 controls), replication (7035 cases/21 693 controls; independent from discovery), and combined (9627 cases/30 845 controls; including additional individuals). RESULTS The PAX8-target gene set was ranked 1/615 in the discovery (PGSEA<0.001; FDR=0.21), 7/615 in the replication (PGSEA=0.004; FDR=0.37), and 1/615 in the combined (PGSEA<0.001; FDR=0.21) studies. Adding other genes reported to interact with PAX8 in the literature to the PAX8-target set and applying an alternative to GSEA, interval enrichment, further confirmed this association (P=0.006). Fifteen of the 157 genes from this expanded PAX8 pathway were near eight loci associated with SOC risk at P<10-5 (including six with P<5 × 10-8). The pathway was also associated with differential gene expression after shRNA-mediated silencing of PAX8 in HeyA8 (PGSEA=0.025) and IGROV1 (PGSEA=0.004) SOC cells and several PAX8 targets near SOC risk loci demonstrated in vitro transcriptomic perturbation. CONCLUSIONS Putative PAX8 target genes are enriched for common SOC risk variants. This finding from our agnostic evaluation is of particular interest given that PAX8 is well-established as a specific marker for the cell of origin of SOC.
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Affiliation(s)
- Siddhartha P Kar
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Emily Adler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Jonathan Tyrer
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Dennis Hazelett
- Bioinformatics and Computational Biology Research Center, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Hoda Anton-Culver
- Department of Epidemiology, Director of Genetic Epidemiology Research Institute, UCI Center for Cancer Genetics Research & Prevention, School of Medicine, University of California Irvine, Irvine, CA 92697, USA
| | - Elisa V Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Matthias W Beckmann
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen Nuremberg, Universitaetsstrasse 21-23, Erlangen 91054, Germany
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA
| | - Natalia Bogdanova
- Radiation Oncology Research Unit, Hannover Medical School, Hannover 30625, Germany
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ralf Butzow
- Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki 00100, Finland
| | - Ian Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia
- Department of Pathology, University of Melbourne, Parkville, VIC 3010, Australia
| | - Karen Carty
- The Beatson West of Scotland Cancer Centre, Glasgow G12 0YN, UK
| | - Jenny Chang-Claude
- German Cancer Research Center, Division of Cancer Epidemiology, Heidelberg 69120, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Linda S Cook
- Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA
| | - Daniel W Cramer
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Agnieszka Dansonka-Mieszkowska
- Department of Pathology, The Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Jennifer Anne Doherty
- Department of Epidemiology, The Geisel School of Medicine—at Dartmouth, Hanover, NH 03756, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover 30625, Germany
| | - Matthias Dürst
- Department of Gynecology, Jena-University Hospital-Friedrich Schiller University, Jena 07737, Germany
| | - Diana Eccles
- Faculty of Medicine, University of Southampton, Southampton SO16 5YA, UK
| | - Peter A Fasching
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen Nuremberg, Universitaetsstrasse 21-23, Erlangen 91054, Germany
- Division of Hematology and Oncology, Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - James Flanagan
- Department of Surgery & Cancer, Imperial College London, London SW7 2AZ, UK
| | - Aleksandra Gentry-Maharaj
- Department of Women's Cancer, Institute for Women's Health, University College London, London W1T 7DN, UK
| | | | - Ellen L Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MI 55905, USA
| | - Marc T Goodman
- Cancer Prevention and Control, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Community and Population Health Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Jacek Gronwald
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 70-001, Poland
| | - Florian Heitz
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte/ Evang. Huyssens-Stiftung/ Knappschaft GmbH, Essen 45136, Germany
- Department of Gynecology and Gynecologic Oncology, Dr Horst Schmidt Kliniken Wiesbaden, Wiesbaden 65199, Germany
| | - Michelle A T Hildebrandt
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Estrid Høgdall
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
- Molecular Unit, Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen 1165, Denmark
| | - Claus K Høgdall
- The Juliane Marie Centre, Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen 2100, Denmark
| | - David G Huntsman
- British Columbia's Ovarian Cancer Research (OVCARE) Program, Vancouver General Hospital, BC Cancer Agency and University of British Columbia, Vancouver, BC V5Z 1L3, Canada
- Departments of Pathology and Laboratory Medicine and Obstetrics and Gynaecology, University of British Columbia, Vancouver, BC V5Z 1L3, Canada
- Department of Molecular Oncology, BC Cancer Agency Research Centre, Vancouver, BC V5Z 1L3, Canada
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
| | - Beth Y Karlan
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Linda E Kelemen
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29435, USA
| | - Lambertus A Kiemeney
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen 6500 HB, The Netherlands
| | - Susanne K Kjaer
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen 2100, Denmark
| | - Jolanta Kupryjanczyk
- Department of Pathology, The Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven 3000, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven 3000, Belgium
| | - Douglas A Levine
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Qiyuan Li
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Medical College of Xiamen University, Xiamen 361102, China
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Karen H Lu
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jan Lubiński
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 70-001, Poland
| | - Leon F A G Massuger
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Gynaecology, Nijmegen 6500 HB, The Netherlands
| | - Valerie McGuire
- Department of Health Research and Policy—Epidemiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Iain McNeish
- Institute of Cancer Sciences, University of Glasgow, Wolfson Wohl Cancer Research Centre, Beatson Institute for Cancer Research, Glasgow G12 0YN, UK
| | - Usha Menon
- Department of Women's Cancer, Institute for Women's Health, University College London, London W1T 7DN, UK
| | - Francesmary Modugno
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15213, USA
- Ovarian Cancer Center of Excellence, Womens Cancer Research Program, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Roberta B Ness
- The University of Texas School of Public Health, Houston, TX 77030, USA
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki 00100, Finland
| | - James Paul
- The Beatson West of Scotland Cancer Centre, Glasgow G12 0YN, UK
| | - Celeste L Pearce
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Tanja Pejovic
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, OR 97239, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Catherine Phelan
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Malcolm C Pike
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Susan J Ramus
- Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT 06510, USA
| | - Mary Anne Rossing
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98109, USA
| | - Helga B Salvesen
- Department of Gynecology and Obstetrics, Haukeland University Horpital, Bergen 5058, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen 5058, Norway
| | - Joellen M Schildkraut
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC 27710, USA
- Cancer Control and Population Sciences, Duke Cancer Institute, Durham, NC 27710, USA
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Mark Sherman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Nadeem Siddiqui
- Department of Gynaecological Oncology, Glasgow Royal Infirmary, Glasgow G4 0SF, UK
| | - Weiva Sieh
- Department of Health Research and Policy—Epidemiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Honglin Song
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Melissa Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, VIC 3002, Australia
| | - Kathryn L Terry
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA 02215, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Christine Walsh
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alice S Whittemore
- Department of Health Research and Policy—Epidemiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Hannah Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center Medicine, Nashville, TN 37232, USA
| | - Argyrios Ziogas
- Department of Epidemiology, University of California Irvine, Irvine, CA 92697, USA
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA 02142, USA
| | - Simon A Gayther
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Kate Lawrenson
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
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Mármol I, Sánchez-de-Diego C, Pradilla Dieste A, Cerrada E, Rodriguez Yoldi MJ. Colorectal Carcinoma: A General Overview and Future Perspectives in Colorectal Cancer. Int J Mol Sci 2017; 18:E197. [PMID: 28106826 DOI: 10.3390/ijms18010197] [Citation(s) in RCA: 708] [Impact Index Per Article: 101.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 01/06/2017] [Accepted: 01/11/2017] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) is the third most common cancer and the fourth most common cause of cancer-related death. Most cases of CRC are detected in Western countries, with its incidence increasing year by year. The probability of suffering from colorectal cancer is about 4%–5% and the risk for developing CRC is associated with personal features or habits such as age, chronic disease history and lifestyle. In this context, the gut microbiota has a relevant role, and dysbiosis situations can induce colonic carcinogenesis through a chronic inflammation mechanism. Some of the bacteria responsible for this multiphase process include Fusobacterium spp, Bacteroides fragilis and enteropathogenic Escherichia coli. CRC is caused by mutations that target oncogenes, tumour suppressor genes and genes related to DNA repair mechanisms. Depending on the origin of the mutation, colorectal carcinomas can be classified as sporadic (70%); inherited (5%) and familial (25%). The pathogenic mechanisms leading to this situation can be included in three types, namely chromosomal instability (CIN), microsatellite instability (MSI) and CpG island methylator phenotype (CIMP). Within these types of CRC, common mutations, chromosomal changes and translocations have been reported to affect important pathways (WNT, MAPK/PI3K, TGF-β, TP53), and mutations; in particular, genes such as c-MYC, KRAS, BRAF, PIK3CA, PTEN, SMAD2 and SMAD4 can be used as predictive markers for patient outcome. In addition to gene mutations, alterations in ncRNAs, such as lncRNA or miRNA, can also contribute to different steps of the carcinogenesis process and have a predictive value when used as biomarkers. In consequence, different panels of genes and mRNA are being developed to improve prognosis and treatment selection. The choice of first-line treatment in CRC follows a multimodal approach based on tumour-related characteristics and usually comprises surgical resection followed by chemotherapy combined with monoclonal antibodies or proteins against vascular endothelial growth factor (VEGF) and epidermal growth receptor (EGFR). Besides traditional chemotherapy, alternative therapies (such as agarose tumour macrobeads, anti-inflammatory drugs, probiotics, and gold-based drugs) are currently being studied to increase treatment effectiveness and reduce side effects.
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50
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Karami S, Han Y, Pande M, Cheng I, Rudd J, Pierce BL, Nutter EL, Schumacher FR, Kote-Jarai Z, Lindstrom S, Witte JS, Fang S, Han J, Kraft P, Hunter DJ, Song F, Hung RJ, McKay J, Gruber SB, Chanock SJ, Risch A, Shen H, Haiman CA, Boardman L, Ulrich CM, Casey G, Peters U, Amin Al Olama A, Berchuck A, Berndt SI, Bezieau S, Brennan P, Brenner H, Brinton L, Caporaso N, Chan AT, Chang-Claude J, Christiani DC, Cunningham JM, Easton D, Eeles RA, Eisen T, Gala M, Gallinger SJ, Gayther SA, Goode EL, Grönberg H, Henderson BE, Houlston R, Joshi AD, Küry S, Landi MT, Le Marchand L, Muir K, Newcomb PA, Permuth-Wey J, Pharoah P, Phelan C, Potter JD, Ramus SJ, Risch H, Schildkraut J, Slattery ML, Song H, Wentzensen N, White E, Wiklund F, Zanke BW, Sellers TA, Zheng W, Chatterjee N, Amos CI, Doherty JA. Telomere structure and maintenance gene variants and risk of five cancer types. Int J Cancer 2016; 139:2655-2670. [PMID: 27459707 PMCID: PMC5198774 DOI: 10.1002/ijc.30288] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [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: 02/11/2016] [Accepted: 06/21/2016] [Indexed: 01/20/2023]
Abstract
Telomeres cap chromosome ends, protecting them from degradation, double-strand breaks, and end-to-end fusions. Telomeres are maintained by telomerase, a reverse transcriptase encoded by TERT, and an RNA template encoded by TERC. Loci in the TERT and adjoining CLPTM1L region are associated with risk of multiple cancers. We therefore investigated associations between variants in 22 telomere structure and maintenance gene regions and colorectal, breast, prostate, ovarian, and lung cancer risk. We performed subset-based meta-analyses of 204,993 directly-measured and imputed SNPs among 61,851 cancer cases and 74,457 controls of European descent. Independent associations for SNP minor alleles were identified using sequential conditional analysis (with gene-level p value cutoffs ≤3.08 × 10-5 ). Of the thirteen independent SNPs observed to be associated with cancer risk, novel findings were observed for seven loci. Across the DCLRE1B region, rs974494 and rs12144215 were inversely associated with prostate and lung cancers, and colorectal, breast, and prostate cancers, respectively. Across the TERC region, rs75316749 was positively associated with colorectal, breast, ovarian, and lung cancers. Across the DCLRE1B region, rs974404 and rs12144215 were inversely associated with prostate and lung cancers, and colorectal, breast, and prostate cancers, respectively. Near POT1, rs116895242 was inversely associated with colorectal, ovarian, and lung cancers, and RTEL1 rs34978822 was inversely associated with prostate and lung cancers. The complex association patterns in telomere-related genes across cancer types may provide insight into mechanisms through which telomere dysfunction in different tissues influences cancer risk.
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Affiliation(s)
- Sara Karami
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Younghun Han
- The Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Mala Pande
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, CA; Stanford Cancer Institute, Stanford, CA
| | - James Rudd
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Brandon L Pierce
- Departments of Public Health Sciences and Human Genetics and Comprehensive Cancer Center, The University of Chicago, Chicago, IL
| | - Ellen L Nutter
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Fredrick R Schumacher
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Zsofia Kote-Jarai
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Sara Lindstrom
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. School of Public Health, Boston, MA
| | - John S Witte
- Division of Genetic and Cancer Epidemiology, Department of Epidemiology and Biostatistics and Institute of Human Genetics, University of California, San Francisco, CA
| | - Shenying Fang
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jiali Han
- Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, IN
| | - Peter Kraft
- Department of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA
| | - David J Hunter
- Department of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA
| | - Fengju Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Centre of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - James McKay
- Genetic Cancer Susceptibility Group, Genetic Epidemiology Group International Agency for Research on Cancer (IARC), Lyon, France
| | - Stephen B Gruber
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - 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
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Collaborative Innovation Center for Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Christopher A Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Graham Casey
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Ali Amin Al Olama
- Department of Public Health and Primary Care, Center for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University, Durham, NC
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | | | - Paul Brennan
- Genetic Cancer Susceptibility Group, Genetic Epidemiology Group International Agency for Research on Cancer (IARC), Lyon, France
| | - Hermann Brenner
- Klinische Epidemiologie und Alternsforschung, Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David C Christiani
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. School of Public Health, Boston, MA
| | | | - Douglas Easton
- Department of Public Health and Primary Care, Center for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Rosalind A Eeles
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Timothy Eisen
- Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Manish Gala
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA
| | - Steven J Gallinger
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Simon A Gayther
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Brian E Henderson
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Amit D Joshi
- Department of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA
| | - Sébastien Küry
- Service de Génétique Médicale, CHU Nantes, Nantes, France
| | - Mari T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Loic Le Marchand
- Division of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI
| | - Kenneth Muir
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
- Institute of Population Health, University of Manchester, Manchester, United Kingdom
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Paul Pharoah
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | | | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Susan J Ramus
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | | | | | - Honglin Song
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Brent W Zanke
- Division of Hematology, The University of Ottawa, Ottawa Hospital Research Institute, Ottawa, ON
| | | | - Wei Zheng
- Vanderbilt Epidemiology Center and Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Christopher I Amos
- The Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Jennifer A Doherty
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH.
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