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Sun Y, Geng S, Fu C, Song X, Lin H, Xu Y. Causal relationship between affect disorders and endometrial cancer: a Mendelian randomisation study. J OBSTET GYNAECOL 2024; 44:2321321. [PMID: 38425012 DOI: 10.1080/01443615.2024.2321321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/10/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND The aim was to assess the causal relationship between depression and anxiety disorders and endometrial cancer. METHOD We performed two-sample Mendelian randomisation analysis using summary statistics from genome-wide association studies to assess associations of major depressive disorder, anxiety and stress-related disorders with endometrial cancer. The genome-wide association studies(GWASs) data were derived from participants of predominantly European ancestry included in the Genome-wide Association Research Collaboration. Inverse variance-weighted, MR-Egger and weighted median MR analyses were performed, together with a range of sensitivity analyses. RESULTS Mendelian randomisation analysis showed no statistically significant genetic responsibility effect of anxiety and stress-related disorders on any pathological type of endometrial cancer. Only the effect of major depressive disorder under the inverse variance weighting method increasing the risk of endometrial endometrial cancer (effect 0.004 p = 0.047) and the effect of major depressive disorder under the MR-Egger method decreasing endometrial cancer of all pathology types (effect -0.691 p = 0.015) were statistically significant. Other Mendelian randomisation analyses did not show a statistically significant effect. CONCLUSION Major depressive disorder(MDD), anxiety and stress-related disorders(ASRD) are not genetically responsible for endometrial cancer. We consider that emotional disorders may affect endometrial cancer indirectly by affecting body mass index. This study provides us with new insights to better understand the aetiology of endometrial cancer and inform prevention strategies.
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Affiliation(s)
- Yewu Sun
- Department of Gynaecology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Shuo Geng
- Department of Clinical Psychology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Chunmeng Fu
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaoyan Song
- Department of Gynaecology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hua Lin
- Department of Endocrinology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yidan Xu
- Department of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, China
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Cao Z, Long X, Yuan L. Associations between serum metabolites and female cancers: A bidirectional two-sample mendelian randomization study. J Steroid Biochem Mol Biol 2024; 243:106584. [PMID: 39004376 DOI: 10.1016/j.jsbmb.2024.106584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/30/2024] [Accepted: 07/09/2024] [Indexed: 07/16/2024]
Abstract
Female cancers, especially breast, ovarian, cervical, and endometrial cancers, constitute a major threat to women's health worldwide. In view of the complex genetic background of cancers cannot be fully explained with current genetic information, we used a bidirectional two-sample mendelian randomization approach to explore the causal associations between serum metabolites and four major female cancers-breast, ovarian, cervical, and endometrial cancers. We analyzed the metabolites dataset from the Canadian Longitudinal Study of Aging and cancer datasets from the 10th round of the Finngen project. Replication analyses was performed with Cancer Association Consortium and Leo's studies. Instrumental variables were analyzed using methods including the Wald ratio, inverse-variance weighted, MR-Egger, and weighted median. To ensure robustness, sensitivity analyses were performed using Cochrane's Q, Egger's intercept, MR-PRESSO, and leave-one-out methods. After meticulous analysis, we obtained levels of 3-hydroxyoleoylcarnitine, hexadecanedioate, tetradecanedioate, and carnitine C14 with robust causal associations with breast cancer, levels of 5alpha-androstan-3alpha,17beta-diol monosulfate (1), androstenediol (3beta,17beta) monosulfate (1), androsterone sulfate, and 5alpha-androstan-3beta,17beta-diol disulfate causal associations with endometrial cancer. The reverse analysis showed that breast, ovarian, and endometrial cancer and survival of breast and ovarian cancer were found to have causal relationships with 8, 5, 2, 6, and 3 metabolites, respectively. These insights underscore the potential roles of specific metabolites in the etiology of female cancers, providing new biomarkers for early detection, risk stratification, and disease progression monitoring. Further research could elucidate how these metabolites influence specific pathways in cancer development, offering theoretical foundations for prevention and treatment strategies.
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Affiliation(s)
- ZheXu Cao
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - XiongZhi Long
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - LiQin Yuan
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Wang SE, Viallon V, Lee M, Dimou N, Hamilton F, Biessy C, O'Mara T, Kyrgiou M, Crosbie EJ, Truong T, Severi G, Kaaks R, Fortner RT, Schulze MB, Bendinelli B, Sabina S, Tumino R, Sacerdote C, Panico S, Crous-Bou M, Sánchez MJ, Aizpurua A, Palacios DR, Guevara M, Travis RC, Tsilidis KK, Heath A, Yarmolinsky J, Rinaldi S, Gunter MJ, Dossus L. Circulating inflammatory and immune response proteins and endometrial cancer risk: a nested case-control study and Mendelian randomization analyses. EBioMedicine 2024; 108:105341. [PMID: 39278107 DOI: 10.1016/j.ebiom.2024.105341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Revised: 08/30/2024] [Accepted: 09/01/2024] [Indexed: 09/17/2024] Open
Abstract
BACKGROUND Inflammation and immune dysregulation are hypothesized contributors to endometrial carcinogenesis; however, the precise underlying mechanisms remain unclear. METHODS We measured pre-diagnostically 152 plasma protein biomarkers in 624 endometrial cancer case-control pairs nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Odds ratios (ORs) were estimated using conditional logistic regression, accounting for confounding and multiple comparisons. Proteins considered as associated with endometrial cancer risk were further tested in a two-sample Mendelian randomization (MR) analysis using summary data from the UK Biobank (n = 52,363) and the Endometrial Cancer Association Consortium (12,270 cases and 46,126 controls). FINDINGS In the EPIC nested case-control study, IL-6 [OR per NPX (doubling of concentration) = 1.28 (95% confidence interval (CI) 1.03-1.57)], HGF [1.48 (1.06-2.07)], PIK3AP1 [1.22 (1.00-1.50)] and CLEC4G [1.52 (1.00-2.32)] were positively associated; HSD11B1 [0.67 (0.49-0.91)], SCF [0.68 (0.49-0.94)], and CCL25 [0.80 (0.65-0.99)] were inversely associated with endometrial cancer risk; all estimates had multiple comparisons adjusted P-value > 0.05. In complementary MR analysis, IL-6 [OR per inverse-rank normalized NPX = 1.19 (95% CI 1.04-1.36)] and HSD11B1 [0.91 (0.84-0.99)] were associated with endometrial cancer risk. INTERPRETATION Altered IL-6 signalling and reduced glucocorticoid activity via HSD11B1 might play important roles in endometrial carcinogenesis. FUNDING Funding for IIG_FULL_2021_008 was obtained from Wereld Kanker Onderzoek Fonds (WKOF), as part of the World Cancer Research Fund International grant programme; Funding for INCA_15849 was obtained from Institut National du Cancer (INCa).
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Affiliation(s)
- Sabrina E Wang
- International Agency for Research on Cancer, World Health Organization, Lyon, France.
| | - Vivian Viallon
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Matthew Lee
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Niki Dimou
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Fergus Hamilton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Infection Science, North Bristol NHS Trust, Bristol, United Kingdom
| | - Carine Biessy
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Tracy O'Mara
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Maria Kyrgiou
- Department of Metabolism, Digestion & Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom; West London Gynaecological Cancer Centre, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Emma J Crosbie
- Gynaecological Oncology Research Group, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, United Kingdom; Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Therese Truong
- Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France
| | - Gianluca Severi
- Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France; Department of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Florence, Italy
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Renée Turzanski Fortner
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany; Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Benedetta Bendinelli
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sieri Sabina
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, Aire Onlus, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza Hospital, University of Turin and CPO Piemonte, Turin, Italy
| | | | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain; Instituto de Investigación Biosanitaria, Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Amaia Aizpurua
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, San Sebastian, Spain; Epidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Daniel Rodriguez Palacios
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain
| | - Marcela Guevara
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Salud Pública y Laboral de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Ruth C Travis
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Konstantinos K Tsilidis
- Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, United Kingdom; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Alicia Heath
- Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - James Yarmolinsky
- Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Sabina Rinaldi
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Marc J Gunter
- International Agency for Research on Cancer, World Health Organization, Lyon, France; Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Laure Dossus
- International Agency for Research on Cancer, World Health Organization, Lyon, France
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Shen Y, Tian Y, Ding J, Chen Z, Zhao R, Lu Y, Li L, Zhang H, Wu H, Li X, Zhang Y. Unravelling the molecular landscape of endometrial cancer subtypes: insights from multiomics analysis. Int J Surg 2024; 110:5385-5395. [PMID: 38775562 PMCID: PMC11392172 DOI: 10.1097/js9.0000000000001685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/10/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Endometrial cancer (EC) as one of the most common gynecologic malignancies is increasing in incidence during the past 10 years. Genome-Wide Association Studies (GWAS) extended to metabolic and protein phenotypes inspired us to employ multiomics methods to analyze the causal relationships of plasma metabolites and proteins with EC to advance our understanding of EC biology and pave the way for more targeted approaches to its diagnosis and treatment by comparing the molecular profiles of different EC subtypes. METHODS Two-sample mendelian randomization (MR) was performed to investigate the effects of plasma metabolites and proteins on risks of different subtypes of EC (endometrioid and nonendometrioid). Pathway analysis, transcriptomic analysis, and network analysis were further employed to illustrate gene-protein-metabolites interactions underlying the pathogenesis of distinct EC histological types. RESULTS The authors identified 66 causal relationships between plasma metabolites and endometrioid EC, and 132 causal relationships between plasma proteins and endometrioid EC. Additionally, 40 causal relationships between plasma metabolites and nonendometrioid EC, and 125 causal relationships between plasma proteins and nonendometrioid EC were observed. Substantial differences were observed between endometrioid and nonendometrioid histological types of EC at both the metabolite and protein levels. The authors identified seven overlapping proteins (RGMA, NRXN2, EVA1C, SLC14A1, SLC6A14, SCUBE1, FGF8) in endometrioid subtype and six overlapping proteins (IL32, GRB7, L1CAM, CCL25, GGT2, PSG5) in nonendometrioid subtype and conducted network analysis of above proteins and metabolites to identify coregulated nodes. CONCLUSIONS Our findings observed substantial differences between endometrioid and nonendometrioid EC at the metabolite and protein levels, providing novel insights into gene-protein-metabolites interactions that could influence future EC treatments.
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Affiliation(s)
- Yufei Shen
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Yan Tian
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Jiashan Ding
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Zhuo Chen
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Rong Zhao
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Yingnan Lu
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Lucia Li
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Hui Zhang
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Haiyue Wu
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
| | - Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha Hunan, People's Republic of China
| | - Yu Zhang
- Department of Gynecology, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
- Gynecological Oncology Research and Engineering Center of Hunan Province
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Yang Z, Chen J, Wen M, Lei J, Zeng M, Li S, Long Y, Zhou Z, Wang C. Genetic association of lipids and lipid-lowering drug target genes with Endometrial carcinoma: a drug target Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1446457. [PMID: 39193372 PMCID: PMC11347345 DOI: 10.3389/fendo.2024.1446457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Accepted: 07/25/2024] [Indexed: 08/29/2024] Open
Abstract
Background Aberrant lipid metabolism is intricately linked to the development of endometrial cancer, and statin lipid-lowering medications are regarded as promising adjunctive therapies for future management of this malignancy. This study employed Mendelian randomization (MR) to explore the causal association between lipid traits and endometrial cancer while assessing the potential impact of drug targets on lower lipids on endometrial cancer. Method Two-sample Mendelian randomization was employed to probe the causal association between lipid traits and endometrial carcinoma. Drug-target Mendelian randomization was also utilized to identify potential drug-target genes for managing endometrial carcinoma. In instances where lipid-mediated effects through particular drug targets were notable, the impacts of these drug targets on endometrial carcinoma risk factors were investigated to bolster the findings. Result No causal association between genetically predicted lipid traits (LDL-C, TG, TC, and HDL-C) and EC was found in two-sample Mendelian randomization. In drug target Mendelian randomization, genetic modeling of apolipoprotein B (APOB) (OR [95%CI]=0.31, [0.16-0.60]; p=4.73e-04) and cholesteryl ester transfer protein (CETP) (OR [95%CI]=1.83, [1.38-2.43]; p=2.91e-05) genetic mimicry was associated with non-endometrioid carcinoma. Conclusion The results of our MR study revealed no causal association between genetically predicted lipid traits (LDL-C, TG, TC, and HDL-C) and EC. Among the six lipid-lowering drug targets, we observed a significant association between lower predicted APOB levels and higher CETP levels with an increased risk of endometrioid carcinoma. These findings provide novel insights into the importance of lipid regulation in individuals with endometrial carcinoma, warranting further clinical validation and mechanistic investigations.
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Affiliation(s)
- Zhehan Yang
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Junpan Chen
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Minghao Wen
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Jiayuan Lei
- The Sixth Clinical Medical School, Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
| | - Ming Zeng
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Sichen Li
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yao Long
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhiyi Zhou
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Chunyan Wang
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Sun Y, Liu Y, Dian Y, Zeng F, Deng G, Lei S. Association of glucagon-like peptide-1 receptor agonists with risk of cancers-evidence from a drug target Mendelian randomization and clinical trials. Int J Surg 2024; 110:4688-4694. [PMID: 38701500 PMCID: PMC11325911 DOI: 10.1097/js9.0000000000001514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 04/15/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND Glucagon-like peptide-1 receptor (GLP1R) agonists have been approved by Food and Drug Administration for management of obesity. However, the causal relationship of GLP1R agonists (GLP1RA) with cancers still unclear. METHODS The available cis-eQTLs for drugs target genes (GLP1R) were used as proxies for exposure to GLP1RA. Mendelian randomizations (MR) were performed to reveal the association of genetically-proxied GLP1RA with 14 common types cancer from large-scale consortia. Type 2 diabetes was used as positive control, and the GWASs data including 80 154 cases and 853 816 controls. Replicating the findings in the FinnGen study and then pooled with meta-analysis. Finally, all the related randomized controlled trails (RCTs) on GLP1RA were systematically searched from PubMed, Embase, and the Cochrane Library to comprehensively synthesize the evidence to validate any possible association with cancers. RESULT A total of 22 significant cis-eQTL single-nucleotide polymorphisms were included as genetic instrument. The association of genetically-proxied GLP1RA with significantly decreased type 2 diabetes risk [OR (95%)=0.82 (0.79-0.86), P <0.001], which ensuring the effectiveness of identified genetic instruments. The authors found favorable evidence to support the association of GLP1RA with reduced breast cancer and basal cell carcinoma risk [0.92 (0.88-0.96), P <0.001, 0.92 (0.85-0.99), P =0.029, respectively], and with increased colorectal cancer risk [1.12 (1.07-1.18), P <0.001]. In addition, there was no suggestive evidence to support the association of GLP1RA with ovarian cancer [0.99 (0.90-1.09), P =0.827], lung cancer [1.01 (0.93-1.10), P =0760], and thyroid cancer [0.83 (0.63-1.10), P =0.187]. Our findings were consistent with the meta-analysis. Finally, 80 RCTs were included in the systematic review, with a low incidence of different kinds of cancer. CONCLUSIONS Our study suggests that GLP1RA may decrease the risk of breast cancer and basal cell carcinoma, but increase the risk of colorectal cancer. However, according to the systematic review of RCTs, the incidence of cancer in patients treated with GLP1RA is low. Larger sample sizes of RCTs with long-term follow-up are necessary to establish the incidence of cancers and evaluate the risk-benefit ratios.
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Affiliation(s)
- Yuming Sun
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan
| | - Yongjia Liu
- Department of Orthopedics, The 82nd Group Army Hospital of PLA (252 Hospital of PLA), Baoding, People's Republic of China
| | - Yating Dian
- Department of Dermatology, Xiangya Hospital, Central South University
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University
| | - Furong Zeng
- Department of Oncology, Xiangya Hospital, Central South University
| | - Guangtong Deng
- Department of Dermatology, Xiangya Hospital, Central South University
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University
| | - Shaorong Lei
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University
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Yang L, Wang L, Bao E, Wang J, Zhu P. Causal association of dietary factors with five common cancers: univariate and multivariate Mendelian randomization studies. Front Nutr 2024; 11:1428844. [PMID: 39135550 PMCID: PMC11317396 DOI: 10.3389/fnut.2024.1428844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 07/15/2024] [Indexed: 08/15/2024] Open
Abstract
Background Daily dietary habits are closely related to human health, and long-term unhealthy dietary intake, such as excessive consumption of alcohol and pickled foods, may promote the development of cancers. However, comprehensive research on the causal relationship between dietary habits and cancer is lacking. Therefore, this study aimed to reveal the potential causal link between dietary risk factors and the prognosis of cancer-related to genetic susceptibility. Methods GWAS (Genome-Wide Association Studies) summary data on dietary habits and five common types of cancer and their pathological subtypes were obtained from the UK Biobank and various cancer association consortia. A univariable two-sample Mendelian randomization (UVMR) and FDR correction analysis was conducted to explore the causal relationships between 45 dietary habits and five common types of cancer and their histopathological subtypes. In addition, multivariable Mendelian randomization analysis (MVMR) was performed to adjust for traditional risk factors for dietary habits, and the direct or indirect effects of diet on cancer were evaluated. Finally, the prognostic impact of selected instrumental variables on cancer was analyzed using an online data platform. Results In the UVMR analysis, four dietary habits were identified as risk factors for cancer, while five dietary habits were identified as protective factors. Among the latter, one dietary habit showed a significant association with cancer even after FDR correction, indicating a potential causal relationship. The MVMR analysis revealed that weekly beer and cider intake, may act as an independent risk factor for cancer development. Other causal associations between dietary habits and cancer risk may be mediated by intermediate factors. In the prognostic analysis, the SNPs (Single Nucleotide Polymorphisms) of average weekly beer and cider intake were set as independent risk factors and were found to significantly impact overall survival (OS) and cancer-specific survival (CSS) in lung cancer. Conclusion This causal relationship study supports the notion that adjusting daily dietary habits and specific dietary interventions may decrease the risk of cancer.
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Affiliation(s)
- Lin Yang
- Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Li Wang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
| | - Erhao Bao
- Department of Urology, The First People's Hospital of Dazhou, Dazhou, Sichuan, China
| | - Jiahao Wang
- Department of Urology, People's Hospital of Xichong County, Nanchong, Sichuan, China
| | - Pingyu Zhu
- Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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Farzeen Z, Khan RRM, Chaudhry AR, Pervaiz M, Saeed Z, Rasheed S, Shehzad B, Adnan A, Summer M. Dostarlimab: A promising new PD-1 inhibitor for cancer immunotherapy. J Oncol Pharm Pract 2024:10781552241265058. [PMID: 39056234 DOI: 10.1177/10781552241265058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2024]
Abstract
OBJECTIVE Dostarlimab, a humanized monoclonal PD-1 blocking antibody, is being tested as a cancer therapy in this review. Specifically, it addresses mismatch repair failure in endometrial cancer and locally progressed rectal cancer patients. DATA SOURCES A thorough database search found Dostarlimab clinical trials and studies. Published publications and ongoing clinical trials on Dostarlimab's efficacy as a single therapy and in conjunction with other medicines across cancer types were searched. DATA SUMMARY The review recommends Dostarlimab for endometrial cancer mismatch repair failure, as supported by GARNET studies. The analysis also highlights locally advanced rectal cancer findings. In the evolving area of cancer therapy, immune checkpoint inhibitors including pembrolizumab, avelumab, atezolizumab, nivolumab, and durvalumab were discussed. CONCLUSIONS Locally advanced rectal cancer patients responded 100% to Dostarlimab. Many clinical trials, including ROSCAN, AMBER, IOLite, CITRINO, JASPER, OPAL, PRIME, PERLA, and others, are investigating Dostarlimab in combination treatment. This research sheds light on Dostarlimab's current and future possibilities, in improving cancer immunotherapy understanding.
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Affiliation(s)
- Zubaria Farzeen
- Department of Chemistry, Government College University Lahore, Lahore, Punjab, Pakistan
| | | | - Ayoub Rashid Chaudhry
- Department of Chemistry, Government College University Lahore, Lahore, Punjab, Pakistan
| | - Muhammad Pervaiz
- Department of Chemistry, Government College University Lahore, Lahore, Punjab, Pakistan
| | - Zohaib Saeed
- Department of Chemistry, Government College University Lahore, Lahore, Punjab, Pakistan
| | - Shahzad Rasheed
- Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan
| | - Behram Shehzad
- Department of Chemistry, Government College University Lahore, Lahore, Punjab, Pakistan
| | - Ahmad Adnan
- Department of Chemistry, Government College University Lahore, Lahore, Punjab, Pakistan
| | - Muhammad Summer
- Medical Toxicology and Biochemistry Laboratory, Department of Zoology, Government College University Lahore, Lahore, Pakistan
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9
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Bouttle K, Ingold N, O’Mara TA. Using Genetics to Investigate Relationships between Phenotypes: Application to Endometrial Cancer. Genes (Basel) 2024; 15:939. [PMID: 39062718 PMCID: PMC11276418 DOI: 10.3390/genes15070939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 07/14/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024] Open
Abstract
Genome-wide association studies (GWAS) have accelerated the exploration of genotype-phenotype associations, facilitating the discovery of replicable genetic markers associated with specific traits or complex diseases. This narrative review explores the statistical methodologies developed using GWAS data to investigate relationships between various phenotypes, focusing on endometrial cancer, the most prevalent gynecological malignancy in developed nations. Advancements in analytical techniques such as genetic correlation, colocalization, cross-trait locus identification, and causal inference analyses have enabled deeper exploration of associations between different phenotypes, enhancing statistical power to uncover novel genetic risk regions. These analyses have unveiled shared genetic associations between endometrial cancer and many phenotypes, enabling identification of novel endometrial cancer risk loci and furthering our understanding of risk factors and biological processes underlying this disease. The current status of research in endometrial cancer is robust; however, this review demonstrates that further opportunities exist in statistical genetics that hold promise for advancing the understanding of endometrial cancer and other complex diseases.
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Affiliation(s)
| | | | - Tracy A. O’Mara
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia (N.I.)
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10
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Wang J, Chen Z, Lai Y, Ma Z, Wang L, Fiori PL, Carru C, Capobianco G, Zhou L. Insights into inflammation and implications for the pathogenesis and long-term outcomes of endometrial cancer: genome-wide surveys and a clinical cohort study. BMC Cancer 2024; 24:846. [PMID: 39020272 PMCID: PMC11253470 DOI: 10.1186/s12885-024-12630-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/11/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Despite evidence showing a connection between inflammation and endometrial cancer (EC) risk, the surveys on genetic correlation and cohort studies investigating the impact on long-term outcomes have yet to be refined. We aimed to address the impact of inflammation factors on the pathogenesis, progression and consequences of EC. METHODS For the genetic correlation analyses, a two-sample of Mendelian randomization (MR) study was applied to investigate inflammation-related single-nucleotide polymorphisms involved with endometrial cancer from GWAS databases. The observational retrospective study included consecutive patients diagnosed with EC (stage I to IV) with surgeries between January 2010 and October 2020 at the Cancer Hospital of Shantou University Medical College. RESULTS The 2-sample MR surveys indicated no causal relationship between inflammatory cytokines and endometrial cancer. 780 cases (median age, 55.0 years ) diagnosed with EC were included in the cohort and followed up for an average of 6.8 years. Increased inflammatory parameters at baseline were associated with a higher FIGO stage and invasive EC risk (odds ratios [OR] 1.01 to 4.20). Multivariate-cox regression suggested that multiple inflammatory indicators were significantly associated with overall survival (OS) and progression-free survival (PFS) (P < 0.05). Nomogram models based on inflammatory risk and clinical factors were developed for OS and PFS with C-index of 0.811 and 0.789, respectively. LASSO regression for the validation supported the predictive efficacy of inflammatory and clinical factors on the long-term outcomes of EC. CONCLUSIONS Despite the fact that the genetic surveys did not show a detrimental impact of inflammatory cytokines on the endometrial cancer risk, our cohort study suggested that inflammatory level was associated with the progression and long-term outcomes of EC. This evidence may contribute to new strategies targeted at decreasing inflammation levels during EC therapy.
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Affiliation(s)
- Jing Wang
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Obstetrics and Gynecology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhichao Chen
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yaozhen Lai
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Zebiao Ma
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Luanhong Wang
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Pier Luigi Fiori
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Giampiero Capobianco
- Gynecologic and Obstetric Clinic, Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy
| | - Li Zhou
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
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11
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Zhang R, Lu Y, Bian Z, Zhou S, Xu L, Jiang F, Yuan S, Tan X, Chen X, Ding Y, Li X. Sleep, physical activity, and sedentary behaviors in relation to overall cancer and site-specific cancer risk: A prospective cohort study. iScience 2024; 27:109931. [PMID: 38974470 PMCID: PMC11225818 DOI: 10.1016/j.isci.2024.109931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 02/20/2024] [Accepted: 05/05/2024] [Indexed: 07/09/2024] Open
Abstract
Large prospective studies are required to better elucidate the associations of physical activity, sedentary behaviors (SBs), and sleep with overall cancer and site-specific cancer risk, accounting for the interactions with genetic predisposition. The study included 360,271 individuals in UK Biobank. After a median follow-up of 12.52 years, we found higher total physical activity (TPA) level and higher sleep scores were related to reduced risk of cancer while higher SB level showed a positive association with cancer. Compared with high TPA-healthy sleep group and low SB-healthy sleep group, low TPA-poor sleep group and high SB-poor sleep group had the highest risk for overall cancer, breast cancer, and lung cancer. Adherence to a more active exercise pattern was associated with a lower risk of cancer irrespective of genetic risk. Our study suggests that improving the quality of sleep and developing physical activity habits might yield benefits in mitigating the cancer risk.
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Affiliation(s)
- Rongqi Zhang
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ying Lu
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zilong Bian
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Siyun Zhou
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Liying Xu
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fangyuan Jiang
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shuai Yuan
- Institute of Environmental Medicine, Karolinska Institutet, Solna, Stockholm, Sweden
| | - Xiao Tan
- Department of Big Data in Health Science, School of Public Health and Department of Psychiatry Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Xiangjun Chen
- Institute of Translational Medicine, Zhejiang University School of Medicine, 268 Kaixuan Road, Hangzhou 310020, China
| | - Yuan Ding
- Department of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
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12
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Tang X, Bi X, Yang A, Wang Q, Yang Y. GGTLC1 knockdown inhibits the progression of endometrial cancer by regulating the TGF-β/Smad signaling pathway. Heliyon 2024; 10:e31973. [PMID: 38841516 PMCID: PMC11152738 DOI: 10.1016/j.heliyon.2024.e31973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 05/21/2024] [Accepted: 05/24/2024] [Indexed: 06/07/2024] Open
Abstract
Purpose Endometrial cancer (EC) poses a serious risk to females worldwide; thus, a deep understanding of EC is urgently required. The role and mechanisms of gamma-glutamyltransferase light chain 1 (GGTLC1) in EC remain obscure. This study aims to elucidate the function and mechanisms underlying GGTLC1's involvement in EC. Methods Bioinformatic tools and databases were used to analyze GGTLC1 and its associated gene expression in EC tissues. Functional enrichment explorations and immune infiltration analyses were conducted, together with investigation into the methylation status of GGTLC1. Western blotting and Quantitative real-time PCR quantified expression levels. Additional experimental methodologies elucidated the role of GGTLC1 in EC progression. Transcriptome sequencing identified potential regulatory pathways for GGTLC1, and tumor growth was evaluated in vivo using HEC-1A cells in nude mice. Results GGTLC1 was upregulated and negatively correlated with immune cell infiltration and DNA methylation in EC. Cell migration and proliferation were reduced following GGTLC1 knockdown, together with arrest at the G0/G1 phase and an upsurge in apoptosis. Compared to the knockdown group, TGF-β/Smad signaling pathway was up-regulated in the negative control group of EC cells by transcriptome analysis. The levels of TGF-β, pSmad2, and pSmad3 followed the same decreasing trend, whereas Smad3 and Smad2 protein levels remained unchanged. Conclusion Knockdown of GGTLC1 attenuates EC development through the TGF-β/Smad pathway, positioning GGTLC1 as a promising target for EC treatment.
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Affiliation(s)
- Xiaolin Tang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730099, China
- The Third People's Hospital of Gansu Province, Lanzhou, China
- Department of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gynecological Oncology Gansu Province, Lanzhou, China
| | - Xuehan Bi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730099, China
- Department of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gynecological Oncology Gansu Province, Lanzhou, China
| | - Aihong Yang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730099, China
- Department of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gynecological Oncology Gansu Province, Lanzhou, China
| | - Qinganzi Wang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730099, China
- Department of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gynecological Oncology Gansu Province, Lanzhou, China
| | - Yongxiu Yang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730099, China
- Department of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Gynecological Oncology Gansu Province, Lanzhou, China
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13
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Zhang L, Xue B, Yu F, Yin Y, Jin S. Deciphering the Causal Relationship between Sodium-glucose Cotransporter 2 Inhibition and Cancer Risks: A Comprehensive Mendelian Randomization Study. J Cancer 2024; 15:3903-3912. [PMID: 38911377 PMCID: PMC11190771 DOI: 10.7150/jca.96435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 05/19/2024] [Indexed: 06/25/2024] Open
Abstract
Background: Controversy persists regarding the effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors on cancer. The underlying causal relationship remains unclear. Method: A two-sample Mendelian randomization (MR) strategy was employed to investigate the causal associations between SGLT2 inhibitors and 26 site-specific malignancies. Instrumental variants strongly associated with SLC5A2 gene expression and glycated hemoglobin A1c levels were identified as the genetic proxy for SGLT2 inhibition. Cancer-related outcome datasets sourced from the OpenGWAS project were separated into discovery and replication datasets. The meta-analysis was conducted to determine the final causality. Results: Genetically proxied SGLT2 inhibition showed a significant association with bronchial and lung cancer (beta: -0.028 [-0.041, -0.015], P < 0.001), bladder cancer (beta: 0.018 [0.008, 0.027], P < 0.001), prostate cancer (beta: 1.168 [0.594, 1.742], P < 0.001), cervical cancer (beta: -0.019 [-0.031, -0.008], P = 0.001), corpus uterine cancer (beta: 0.015 [0.006, 0.025], P = 0.001) and non-melanoma skin cancer (beta: -0.080 [-0.116, -0.044], P < 0.001) in the discovery cohort. The suggestive causal effect of SGLT2 inhibition on the increased risk of cervical cancer (beta: 3.241 [0.855, 5.627], P = 0.008) and lymphoid leukemia (beta: 4.126 [0.383, 7.868], P = 0.031) was found in the replication cohort. The combined causality of the following types of cancer was observed to remain significant after meta-analysis: bronchial and lung cancer, bladder cancer, prostate cancer, corpus uterine cancer, and non-melanoma skin cancer (all P ≤ 0.001). Conclusion: For the first time we discovered that the SGLT2 inhibition may exert protection on bronchial and lung cancer and non-melanoma skin cancer from a genetic perspective. However, suggestive higher cancer risks of bladder, prostate, and corpus uteri were also noted, which warrants real-world data validation in the future.
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Affiliation(s)
| | | | | | | | - Si Jin
- Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Lake Road, East Lake Ecological Scenic, Wuhan 430077, Hubei, China
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14
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Zou X, Shen J, Zhang H, Kong F, Jin X, Zhang L. Association between immune cells and endometrial cancer: A bidirectional Mendelian randomization study. Medicine (Baltimore) 2024; 103:e38129. [PMID: 38728458 PMCID: PMC11081576 DOI: 10.1097/md.0000000000038129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/12/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND The prognostic significance of tumor-infiltrating immune cells in endometrial cancer is a subject of ongoing debate. Recent evidence increasingly suggests that these immune cells and cytokines, abundant in endometrial cancer tissues, play a pivotal role in stimulating the body inherent anti-tumor immune responses. METHODS Leveraging publicly accessible genetic data, we conducted an exhaustive 2-sample Mendelian randomization (MR) study. This study aimed to explore the causal links between 731 immunophenotypes and the risk of endometrial cancer. We thoroughly assessed the robustness, heterogeneity, and potential horizontal pleiotropy of our findings through extensive sensitivity analyses. RESULTS Our study identified 36 immunophenotypes associated with endometrial cancer risk. Specific immunophenotypes, such as the percentage of Naive-mature B-cells in lymphocytes (OR = 0.917, 95% CI = 0.863-0.974, P = .005), and HLA DR expression on CD14-CD16 + monocytes (OR = 0.952, 95% CI = 0.911-0.996, P = .032), exhibited a negative correlation with endometrial cancer. Conversely, CD127 expression on CD45RA + CD4 + in Treg cells (OR = 1.042, 95% CI = 1.000-1.085, P = .049), and CM CD4+%T in T cell maturation stages (OR = 1.074, 95% CI = 1.012-1.140, P = .018) showed a positive correlation. Reverse MR analysis linked endometrial cancer to 4 immunophenotypes, including a positive correlation with CD127-CD8br %T cell of Treg (OR = 1.172, 95% CI = 1.080-1.270, P = .0001), and negative correlations with 3 others, including CM CD4+%T cell (OR = 0.905, 95% CI = 0.832-0.984, P = .019). CONCLUSION SUBSECTIONS Our findings underscore a significant causal relationship between immunophenotypes and endometrial cancer in bidirectional MR analyses. Notably, the CM CD4+%T immunophenotype emerged as potentially crucial in endometrial cancer development.
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Affiliation(s)
- Xinyun Zou
- College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, China
- Department of Oncology, People’s Liberation Army the General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Jinlan Shen
- Department of Medical Laboratory, People’s Liberation Army the General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Hengdi Zhang
- Department of Ophthalmology, People’s Liberation Army the General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Fangyuan Kong
- Department of Oncology, People’s Liberation Army the General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Xuemei Jin
- College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Ling Zhang
- College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, China
- Department of Oncology, People’s Liberation Army the General Hospital of Western Theater Command, Chengdu, Sichuan, China
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15
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Zhou L, Liu X, He G, Sun C. Causal effects of hypertensive disorders of pregnancy on future gynecologic tumors: A two-sample Mendelian randomization study. Cancer Med 2024; 13:e7300. [PMID: 38800978 PMCID: PMC11129165 DOI: 10.1002/cam4.7300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/02/2024] [Accepted: 05/07/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Numerous observational studies have investigated the potential link between hypertensive disorders of pregnancy (HDPs) and the subsequent risks of gynecologic tumors, yet the findings have been inconsistent. In this study, we utilized Mendelian randomization (MR) approach to assess the influence of HDPs on the future risks of ovarian, cervical, endometrial, and breast cancer and uterine fibroids, controlling for confounding factors. METHODS The genome-wide association studies (GWAS) summary data relevant to HDPs was obtained from the FinnGen databases (10,736 cases and 136,325 controls). Gynecologic tumor outcomes were extracted from the IEU Open GWAS project and UK Biobank (47,690 cases and 1, 092,073 controls). The inverse variance weighted (IVW) approach was selected as the principal method for MR analysis, supplemented by MR-Egger, weighted median, weighted model, simple model methods, MR pleiotropy residual sum and outlier (MR-PRESSO) test, and leave-one-out method. Multivariate MR (MVMR) analysis was conducted after adjusting systolic blood pressure (SBP), body mass index (BMI) and type 2 diabetes mellitus (T2DM). RESULTS Our univariate MR analysis (UVMR) results revealed no significant relationship between HDPs and the risks of ovarian cancer (odds ratio [OR] = 0.924, p = 0.360), cervical cancer (OR = 1.230, p = 0.738), endometrial cancer (OR = 1.006, p = 0.949), uterine fibroids (OR = 1.155, p = 0.158), and breast cancer (OR = 0.792, p = 0.241) by IVW test. Similar results were observed in gestational hypertension and preeclampsia/eclampsia. Additionally, our study detected neither heterogeneity nor pleiotropy. MVMR analysis also provided no evidence of a causal association between HDPs and common gynecologic tumors after adjusting SBP, BMI, and T2DM. CONCLUSION We discovered no causal relationship between HDPs and ovarian, cervical, endometrial, breast cancer, and uterine fibroids in European populations. However, present analysis did not explore the effect of HDPs on the subtypes of gynecologic tumors across varied ethnic populations, which may require additional research.
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Affiliation(s)
- Le Zhou
- Department of Gynecology and ObstetricsWest China Second University Hospital, Sichuan UniversityChengduChina
- Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of EducationWest China Second University Hospital, Sichuan UniversityChengduChina
| | - Xinghui Liu
- Department of Gynecology and ObstetricsWest China Second University Hospital, Sichuan UniversityChengduChina
- Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of EducationWest China Second University Hospital, Sichuan UniversityChengduChina
| | - Guolin He
- Department of Gynecology and ObstetricsWest China Second University Hospital, Sichuan UniversityChengduChina
- Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of EducationWest China Second University Hospital, Sichuan UniversityChengduChina
| | - Chuntang Sun
- Department of Gynecology and ObstetricsWest China Second University Hospital, Sichuan UniversityChengduChina
- Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of EducationWest China Second University Hospital, Sichuan UniversityChengduChina
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16
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Smith-Byrne K, Hedman Å, Dimitriou M, Desai T, Sokolov AV, Schioth HB, Koprulu M, Pietzner M, Langenberg C, Atkins J, Penha RC, McKay J, Brennan P, Zhou S, Richards BJ, Yarmolinsky J, Martin RM, Borlido J, Mu XJ, Butterworth A, Shen X, Wilson J, Assimes TL, Hung RJ, Amos C, Purdue M, Rothman N, Chanock S, Travis RC, Johansson M, Mälarstig A. Identifying therapeutic targets for cancer among 2074 circulating proteins and risk of nine cancers. Nat Commun 2024; 15:3621. [PMID: 38684708 PMCID: PMC11059161 DOI: 10.1038/s41467-024-46834-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 03/05/2024] [Indexed: 05/02/2024] Open
Abstract
Circulating proteins can reveal key pathways to cancer and identify therapeutic targets for cancer prevention. We investigate 2,074 circulating proteins and risk of nine common cancers (bladder, breast, endometrium, head and neck, lung, ovary, pancreas, kidney, and malignant non-melanoma) using cis protein Mendelian randomisation and colocalization. We conduct additional analyses to identify adverse side-effects of altering risk proteins and map cancer risk proteins to drug targets. Here we find 40 proteins associated with common cancers, such as PLAUR and risk of breast cancer [odds ratio per standard deviation increment: 2.27, 1.88-2.74], and with high-mortality cancers, such as CTRB1 and pancreatic cancer [0.79, 0.73-0.85]. We also identify potential adverse effects of protein-altering interventions to reduce cancer risk, such as hypertension. Additionally, we report 18 proteins associated with cancer risk that map to existing drugs and 15 that are not currently under clinical investigation. In sum, we identify protein-cancer links that improve our understanding of cancer aetiology. We also demonstrate that the wider consequence of any protein-altering intervention on well-being and morbidity is required to interpret any utility of proteins as potential future targets for therapeutic prevention.
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Affiliation(s)
- Karl Smith-Byrne
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, Oxford, UK.
| | - Åsa Hedman
- External Science and Innovation, Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Marios Dimitriou
- External Science and Innovation, Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Trishna Desai
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, Oxford, UK
| | - Alexandr V Sokolov
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Helgi B Schioth
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Mine Koprulu
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Maik Pietzner
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Precision Healthcare Institute, Queen Mary University of London, London, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Precision Healthcare Institute, Queen Mary University of London, London, UK
| | - Joshua Atkins
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, Oxford, UK
| | - Ricardo Cortez Penha
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - James McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Sirui Zhou
- Department of Human Genetics, McGill University, Montréal, QC, Canada
| | - Brent J Richards
- Departments of Medicine (Endocrinology), Human Genetics, Epidemiology and Biostatistics, McGill University, Montréal, QC, Canada
| | - James Yarmolinsky
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Joana Borlido
- Cancer Immunology Discovery, Pfizer Worldwide Research and Development Medicine, Pfizer Inc, San Diego, USA
| | - Xinmeng J Mu
- Oncology Research Unit, Pfizer Worldwide Research and Development Medicine, Pfizer Inc, San Diego, USA
| | - Adam Butterworth
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Xia Shen
- Usher Institute, MRC Human Genetics Unit, University of Edinburgh, Edinburgh, UK
| | - Jim Wilson
- Usher Institute, MRC Human Genetics Unit, University of Edinburgh, Edinburgh, UK
| | - Themistocles L Assimes
- Division of Cardiovascular Medicine and the Cardiovascular Institute, School of Medicine, Stanford University, Stanford, USA
| | - Rayjean J Hung
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, Canada
| | - Christopher Amos
- Department of Medicine, Epidemiology Section, Institute for Clinical and Translational Research, Baylor Medical College, Houston, USA
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, Oxford, UK
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Anders Mälarstig
- External Science and Innovation, Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
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17
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Kong Y, Liu S, Wang X, Qie R. Associations between gut microbiota and gynecological cancers: A bi-directional two-sample Mendelian randomization study. Medicine (Baltimore) 2024; 103:e37628. [PMID: 38552081 PMCID: PMC10977594 DOI: 10.1097/md.0000000000037628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 02/26/2024] [Indexed: 04/02/2024] Open
Abstract
Growing evidence has suggested that gut microbiota is associated with gynecologic cancers. However, whether there is a causal relationship between these associations remains to be determined. A two-sample Mendelian randomization (MR) evaluation was carried out to investigate the mechanism associating gut microbiota and 3 prevalent gynecological cancers, ovarian cancer (OC), endometrial cancer, and cervical cancer as well as their subtypes in individuals of European ancestry. The Genome-wide association studies statistics, which are publically accessible, were used. Eligible instrumental single nucleotide polymorphisms that were significantly related to the gut microbiota were selected. Multiple MR analysis approaches were carried out, including inverse variance weighted, MR-Egger, Weighted Median methods, and a range of sensitivity analyses. Lastly, we undertook a reverse MR analysis to evaluate the potential of reverse causality. We sifted through 196 bacterial taxa and identified 33 suggestive causal relationships between genetic liability in the gut microbiota and gynecological cancers. We found that 11 of these genera could be pathogenic risk factors for gynecological cancers, while 19 could lessen the risk of cancer. In the other direction, gynecological cancers altered gut microbiota composition. Our MR analysis revealed that the gut microbiota was causally associated with OC, endometrial cancer, and cervical cancer. This may assist in providing new insights for further mechanistic and clinical studies of microbiota-mediated gynecological cancer.
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Affiliation(s)
- Youqian Kong
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Shaoxuan Liu
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xiaoyu Wang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Rui Qie
- Department of Internal Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
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18
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Went M, Sud A, Mills C, Hyde A, Culliford R, Law P, Vijayakrishnan J, Gockel I, Maj C, Schumacher J, Palles C, Kaiser M, Houlston R. Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers. Nat Commun 2024; 15:2637. [PMID: 38527997 PMCID: PMC10963765 DOI: 10.1038/s41467-024-46927-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 03/08/2024] [Indexed: 03/27/2024] Open
Abstract
For many cancers there are only a few well-established risk factors. Here, we use summary data from genome-wide association studies (GWAS) in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to identify potentially causal relationships for over 3,000 traits. Our outcome datasets comprise 378,142 cases across breast, prostate, colorectal, lung, endometrial, oesophageal, renal, and ovarian cancers, as well as 485,715 controls. We complement this analysis by systematically mining the literature space for supporting evidence. In addition to providing supporting evidence for well-established risk factors (smoking, alcohol, obesity, lack of physical activity), we also find sex steroid hormones, plasma lipids, and telomere length as determinants of cancer risk. A number of the molecular factors we identify may prove to be potential biomarkers. Our analysis, which highlights aetiological similarities and differences in common cancers, should aid public health prevention strategies to reduce cancer burden. We provide a R/Shiny app to visualise findings.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Centre for Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Charlie Mills
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Abi Hyde
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Engineering, University of Cambridge, Cambridge, UK
| | - Richard Culliford
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Philip Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | | | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Carlo Maj
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
| | | | - Claire Palles
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Martin Kaiser
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
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19
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Jin J, Qi G, Yu Z, Chatterjee N. Mendelian randomization analysis using multiple biomarkers of an underlying common exposure. Biostatistics 2024:kxae006. [PMID: 38459704 DOI: 10.1093/biostatistics/kxae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 11/16/2023] [Accepted: 02/05/2024] [Indexed: 03/10/2024] Open
Abstract
Mendelian randomization (MR) analysis is increasingly popular for testing the causal effect of exposures on disease outcomes using data from genome-wide association studies. In some settings, the underlying exposure, such as systematic inflammation, may not be directly observable, but measurements can be available on multiple biomarkers or other types of traits that are co-regulated by the exposure. We propose a method for MR analysis on latent exposures (MRLE), which tests the significance for, and the direction of, the effect of a latent exposure by leveraging information from multiple related traits. The method is developed by constructing a set of estimating functions based on the second-order moments of GWAS summary association statistics for the observable traits, under a structural equation model where genetic variants are assumed to have indirect effects through the latent exposure and potentially direct effects on the traits. Simulation studies show that MRLE has well-controlled type I error rates and enhanced power compared to single-trait MR tests under various types of pleiotropy. Applications of MRLE using genetic association statistics across five inflammatory biomarkers (CRP, IL-6, IL-8, TNF-α, and MCP-1) provide evidence for potential causal effects of inflammation on increasing the risk of coronary artery disease, colorectal cancer, and rheumatoid arthritis, while standard MR analysis for individual biomarkers fails to detect consistent evidence for such effects.
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Affiliation(s)
- Jin Jin
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, United States
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA 19104-6021, United States
| | - Guanghao Qi
- Department of Biomedical Engineering, Johns Hopkins University, 720 Rutland Avenue, Baltimore, MD 21205, United States
- Department of Biostatistics, University of Washington, 3980 15th Avenue NE, Seattle, WA 98195-1617, United States
| | - Zhi Yu
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, 415 Main St Cambridge, MA 02142, United States
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, United States
- Department of Oncology, School of Medicine, Johns Hopkins University, 733 N Broadway, Baltimore, MD 21205, United States
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20
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Jin X, Wu M, Dong S, Liu H, Ma H. Artificially sweetened beverages consumption and risk of obesity-related cancers: a wide-angled Mendelian randomization study. Front Nutr 2024; 11:1347724. [PMID: 38524848 PMCID: PMC10959093 DOI: 10.3389/fnut.2024.1347724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/23/2024] [Indexed: 03/26/2024] Open
Abstract
Background The impact of artificially sweetened beverages (ASBs) consumption on obesity-related cancers (ORCs) risk remains controversial. To address this challenging issue, this study employed wide-angle mendelian randomization (MR) analyses to explore the genetic causality between ASB consumption and the risk of ORCs, thereby effectively minimizing the impact of external confounders. Methods We conducted a suite of analyses encompassing univariable, multivariable, and two-step MR to evaluate causal associations between ASB consumption (samples = 85,852) and risk of ORCs (total samples = 2,974,770) using summary statistics from genome-wide association studies (GWAS). Total, direct, and intermediary effects were derived by performing inverse-variance weighted (IVW), MR-Egger, weighted mode, weighted median, and lasso method. Additionally, we performed an extensive range of sensitivity analyses to counteract the potential effects of confounders, heterogeneity, and pleiotropy, enhancing the robustness and reliability of the findings. Results Genetically predicted ASB consumption was positively associated with the risk of colorectal cancer (CRC, p = 0.011; OR: 6.879; 95% CI: 1.551, 30.512 by IVW) and breast cancer (p = 0.022; OR: 3.881; 95% CI: 2.023, 9.776 by IVW). Multivariable analysis yielded similar results. The results of the two-step MR unveiled that body mass index (BMI) assumes a pivotal role in mediating the association between ASB consumption and CRC risk (intermediary effect = 0.068, p = 0.024). Conclusion No causal connection exists between ASB consumption and the majority of ORCs, in addition to CRC and breast cancer. Additionally, our findings suggest that BMI might be a potential mediator in the association between ASB consumption and CRC.
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Affiliation(s)
- Xing Jin
- Department of Laboratory Medicine, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Mengyue Wu
- Medical College, Yangzhou University, Yangzhou, China
| | - Shuangshuang Dong
- Department of Radiotherapy, General Hospital of Southern Theatre Command, Guangzhou, China
| | - Hui Liu
- Department of Endocrinology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Haochuan Ma
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
- Guangdong Provincial Hospital of Chinese Medicine Postdoctoral Research Workstation, Guangzhou, China
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21
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Yu C, Bakshi A, Bell RJ, Islam RM, Handelsman DJ, McNeil JJ, Lacaze P, Davis SR. Genome-wide association study identifies genetic regulation of oestrone concentrations and association with endometrial cancer risk in postmenopausal women. EBioMedicine 2024; 101:104997. [PMID: 38324981 PMCID: PMC10862393 DOI: 10.1016/j.ebiom.2024.104997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Oestrone, predominantly made in fat, is the main circulating oestrogen and important for target tissue oestradiol production in women after menopause. The present study was undertaken to determine the genetic regulation of blood oestrone, measured with precision, in postmenopausal women and to explore associations between the identified genetic loci and endometrial cancer in a large, independent cohort. METHODS A genome-wide association study (GWAS) was undertaken in women aged at least 70 years to identify genetic associations with blood oestrone concentrations measured by liquid chromatography and tandem mass spectrometry. The GWAS included participants from the Sex Hormones in Older Women (SHOW) study, a sub-study of the longitudinal ASPREE (ASPirin in Reducing Events in the Elderly) randomised trial. Of the 6358 women providing a biobank sample at enrolment, 4951 unrelated women of European ancestry, not taking sex hormones, anti-oestrogens, anti-androgens or systemic glucocorticoids were included in the GWAS. Single nucleotide polymorphisms (SNPs) from loci identified below the genome-wide significance threshold were then tested in an independent cohort (the UK Biobank) for association with endometrial cancer risk, using logistic regression and adjusting for age, body mass index (BMI) and the top 10 genetic principal components. FINDINGS The median age of the 4951 women included in the GWAS was 75.9 years (range 70-94.8 years). The GWAS identified four independent SNPs associated with oestrone concentrations (p < 5 × 10-8). Among them, the effect (minor) alleles rs34670419-T, rs2846729-T and rs2414098-T were associated with lower oestrone concentrations. Carrying these effect alleles was associated with lower oestrone concentrations in a dose-dependent manner. The effect allele rs56400819-A was associated with higher oestrone concentrations. When applied to UK Biobank, carrier status for rs2414098-T associated with the CYP19A1 gene which encodes the aromatase enzyme required for oestrogen synthesis was significantly associated with lower endometrial cancer risk (adjusted odd ratio [aOR] 0.87 [95% CI 0.82-0.93]; p = 6.69 × 10-5 for women across all ages and aOR 0.89 [95% CI 0.83-0.96]; p = 0.003 for postmenopausal women). None of the models that included age, body mass index (BMI), the top 10 genetic principal components, parity and diabetes mellitus explained more than 7.6% of the variation in risk. INTERPRETATION We have shown genetic regulation of oestrone concentrations in postmenopausal women, and that SNPs associated with oestrone were also associated with endometrial cancer risk, independent of BMI, parity and diabetes mellitus. Although the apparent contribution was modest, the biological influence of oestrone concentrations may be greater through conversion to oestradiol in endometrial tissue. FUNDING The ASPREE trial was supported by the National Institute on Aging and the National Cancer Institute at the National Institutes of Health (Grant U01AG029824); the National Health and Medical Research Council (NHMRC) of Australia (Grant 34047, 1127060); Monash University (Australia); and the Victorian Cancer Agency (Australia). The ASPREE Healthy Ageing Biobank was funded by the CSIRO (Flagship Grant), the National Cancer Institute (Grant U01 AG029824) and Monash University. This analysis of sex hormones was funded by an NHMRC of Australia Project Grant (No. 1105305). SRD holds an NHMRC Investigator Grant (2016627). PL is supported by a National Heart Foundation Future Leader Fellowship (102604).
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Affiliation(s)
- Chenglong Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Andrew Bakshi
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Robin J Bell
- Women's Health Research Program, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Rakibul M Islam
- Women's Health Research Program, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | | | - John J McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Paul Lacaze
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Susan R Davis
- Women's Health Research Program, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia; Department of Endocrinology and Diabetes, Alfred Health, Melbourne, VIC, 3004, Australia.
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22
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Chen H, Wang Z, Gong L, Wang Q, Chen W, Wang J, Ma X, Ding R, Li X, Zou X, Plass M, Lian C, Ni T, Wei GH, Li W, Deng L, Li L. A distinct class of pan-cancer susceptibility genes revealed by an alternative polyadenylation transcriptome-wide association study. Nat Commun 2024; 15:1729. [PMID: 38409266 PMCID: PMC10897204 DOI: 10.1038/s41467-024-46064-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/12/2024] [Indexed: 02/28/2024] Open
Abstract
Alternative polyadenylation plays an important role in cancer initiation and progression; however, current transcriptome-wide association studies mostly ignore alternative polyadenylation when identifying putative cancer susceptibility genes. Here, we perform a pan-cancer 3' untranslated region alternative polyadenylation transcriptome-wide association analysis by integrating 55 well-powered (n > 50,000) genome-wide association studies datasets across 22 major cancer types with alternative polyadenylation quantification from 23,955 RNA sequencing samples across 7,574 individuals. We find that genetic variants associated with alternative polyadenylation are co-localized with 28.57% of cancer loci and contribute a significant portion of cancer heritability. We further identify 642 significant cancer susceptibility genes predicted to modulate cancer risk via alternative polyadenylation, 62.46% of which have been overlooked by traditional expression- and splicing- studies. As proof of principle validation, we show that alternative alleles facilitate 3' untranslated region lengthening of CRLS1 gene leading to increased protein abundance and promoted proliferation of breast cancer cells. Together, our study highlights the significant role of alternative polyadenylation in discovering new cancer susceptibility genes and provides a strong foundational framework for enhancing our understanding of the etiology underlying human cancers.
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Affiliation(s)
- Hui Chen
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Zeyang Wang
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Lihai Gong
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Qixuan Wang
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Wenyan Chen
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Jia Wang
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xuelian Ma
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Ruofan Ding
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xing Li
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xudong Zou
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Mireya Plass
- Gene Regulation of Cell Identity Group, Regenerative Medicine Program, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet de Llobregat, Barcelona, 08908, Spain
- Program for Advancing Clinical Translation of Regenerative Medicine of Catalonia, P-CMR[C], L'Hospitalet de Llobregat, Barcelona, 08908, Spain
- Center for Networked Biomedical Research on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, 28029, Spain
| | - Cheng Lian
- Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, 200438, China
| | - Gong-Hong Wei
- Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China
- Disease Networks Research Unit, Faculty of Biochemistry and Molecular Medicine & Biocenter Oulu, University of Oulu, Oulu, 90410, Finland
| | - Wei Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, The University of California, Irvine, CA, 92697, USA.
| | - Lin Deng
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
| | - Lei Li
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
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23
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Yang J, Qu X, Zheng AJ, Jiang F, Chang H, Zhang JR, Yan LJ, Ning P. The causal effects of genetically predicted alcohol consumption on endometrial cancer risk from a Mendelian randomization study. Sci Rep 2024; 14:3478. [PMID: 38347022 PMCID: PMC10861519 DOI: 10.1038/s41598-024-53926-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/06/2024] [Indexed: 02/15/2024] Open
Abstract
Endometrial cancer (EC) is a common gynecological tumor in females with an increasing incidence over the past few decades. Alcohol consumption has been linked to the occurrence of various cancers; However, epidemiological studies have shown inconsistent associations between alcohol consumption and EC risk. In order to avoid the influence of potential confounding factors and reverse causality in traditional epidemiological studies, we used a method based on genetic principles-Mendelian randomization (MR) analysis to test whether there is a causal relationship between alcohol consumption and EC. MR analysis was conducted using publicly available summary-level data from genome-wide association studies (GWAS). Fifty-seven single nucleotide polymorphisms (SNPs) were extracted as instrumental variables for alcohol exposure from the GWAS and Sequencing Consortium of Alcohol and Nicotine GWAS summary data involving 941,287 participants of European ancestry. SNPs for EC were obtained from the Endometrial Cancer Association Consortium, the Endometrial Cancer Epidemiology Consortium, and the UK Biobank, involving 121,885 European participants. The inverse variance weighted (IVW) method was used as the primary method to estimate the causal effect, and the MR-Egger regression and weighted median method were used as supplementary methods. Sensitivity analyses were conducted using the Mendelian Randomization Pleiotropy RESidual Sum and Outlier global test, MR-Egger intercept test, and leave-one-out analysis to evaluate the impact of pleiotropy on causal estimates. An increase of 1 standard deviation of genetically predicted log-transformed alcoholic drinks per day was associated with a 43% reduction in EC risk [odds ratio (OR) = 0.57, 95% confidence interval (CI) 0.41-0.79, P < 0.001]. Subgroup analysis of EC revealed that alcohol consumption was a protective factor for endometrioid endometrial cancer (EEC) (OR = 0.56, 95% CI 0.38-0.83, P = 0.004) but not for non-endometrioid endometrial cancer (NEC) (OR = 1.36, 95% CI 0.40-4.66, P = 0.626). The MR-Egger regression and weighted median method yielded consistent causal effects with the IVW method. The consistent results of sensitivity analyses indicated the reliability of our causal estimates. Additionally, alcohol consumption was associated with decreased human chorionic gonadotropin (HCG) and insulin-like growth factor 1 (IGF1) levels. This MR study suggests that genetically predicted alcohol consumption is a protective factor for EC, particularly for EEC, and this protective effect may be mediated through the reduction of HCG and IGF1.
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Affiliation(s)
- Jie Yang
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China
| | - Xiang Qu
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China
| | - An-Jie Zheng
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China
| | - Fan Jiang
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China
| | - Hui Chang
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China
| | - Jin-Ru Zhang
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China
| | - Li-Juan Yan
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China
| | - Peng Ning
- Department of Oncology, Baoji Gaoxin Hospital, No.19, Gaoxin 4 Road, Gaoxin District, Baoji, 721000, Shaanxi Province, China.
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24
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Cornish N, Haycock P, Brenner H, Figueiredo JC, Galesloot TE, Grant RC, Johansson M, Mariosa D, McKay J, Pai R, Pellatt AJ, Samadder NJ, Shi J, Thibord F, Trégouët DA, Voegele C, Thirlwell C, Mumford A, Langdon R. Causal relationships between risk of venous thromboembolism and 18 cancers: a bidirectional Mendelian randomization analysis. Int J Epidemiol 2024; 53:dyad170. [PMID: 38124529 PMCID: PMC10859161 DOI: 10.1093/ije/dyad170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND People with cancer experience high rates of venous thromboembolism (VTE). Risk of subsequent cancer is also increased in people experiencing their first VTE. The causal mechanisms underlying this association are not completely understood, and it is unknown whether VTE is itself a risk factor for cancer. METHODS We used data from large genome-wide association study meta-analyses to perform bidirectional Mendelian randomization analyses to estimate causal associations between genetic liability to VTE and risk of 18 different cancers. RESULTS We found no conclusive evidence that genetic liability to VTE was causally associated with an increased incidence of cancer, or vice versa. We observed an association between liability to VTE and pancreatic cancer risk [odds ratio for pancreatic cancer: 1.23 (95% confidence interval: 1.08-1.40) per log-odds increase in VTE risk, P = 0.002]. However, sensitivity analyses revealed this association was predominantly driven by a variant proxying non-O blood group, with inadequate evidence to suggest a causal relationship. CONCLUSIONS These findings do not support the hypothesis that genetic liability to VTE is a cause of cancer. Existing observational epidemiological associations between VTE and cancer are therefore more likely to be driven by pathophysiological changes which occur in the setting of active cancer and anti-cancer treatments. Further work is required to explore and synthesize evidence for these mechanisms.
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Affiliation(s)
- Naomi Cornish
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Philip Haycock
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Tessel E Galesloot
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robert C Grant
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Daniela Mariosa
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rish Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, AZ, USA
| | - Andrew J Pellatt
- Division of Cancer Medicine, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Florian Thibord
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, USA
| | | | - Catherine Voegele
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Chrissie Thirlwell
- University of Exeter Medical School, University of Exeter, Exeter, UK
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrew Mumford
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
| | - Ryan Langdon
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
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Yarmolinsky J, Robinson JW, Mariosa D, Karhunen V, Huang J, Dimou N, Murphy N, Burrows K, Bouras E, Smith-Byrne K, Lewis SJ, Galesloot TE, Kiemeney LA, Vermeulen S, Martin P, Albanes D, Hou L, Newcomb PA, White E, Wolk A, Wu AH, Le Marchand L, Phipps AI, Buchanan DD, Zhao SS, Gill D, Chanock SJ, Purdue MP, Davey Smith G, Brennan P, Herzig KH, Järvelin MR, Amos CI, Hung RJ, Dehghan A, Johansson M, Gunter MJ, Tsilidis KK, Martin RM. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis. EBioMedicine 2024; 100:104991. [PMID: 38301482 PMCID: PMC10844944 DOI: 10.1016/j.ebiom.2024.104991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Tumour-promoting inflammation is a "hallmark" of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis-Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,294 cancer cases and up to 1,238,345 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P < 5.0 × 10-8) cis-acting SNPs (i.e., in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r2 < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P-value ("q-value") <0.05 was used as a threshold to define "strong evidence" to support associations and 0.05 ≤ q-value < 0.20 to define "suggestive evidence". A colocalisation posterior probability (PPH4) >70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. Findings were replicated in the FinnGen study and then pooled using meta-analysis. FINDINGS We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR: 1.19, 95% CI: 1.10-1.29, q-value = 0.033, PPH4 = 84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR: 1.42, 95% CI: 1.20-1.69, q-value = 0.055, PPH4 = 73.9%), prothrombin concentrations with decreased basal cell carcinoma risk (OR: 0.66, 95% CI: 0.53-0.81, q-value = 0.067, PPH4 = 81.8%), and interleukin-1 receptor-like 1 concentrations with decreased triple-negative breast cancer risk (OR: 0.92, 95% CI: 0.88-0.97, q-value = 0.15, PPH4 = 85.6%). These findings were replicated in pooled analyses with the FinnGen study. Though suggestive evidence was found to support an association of macrophage migration inhibitory factor concentrations with increased bladder cancer risk (OR: 2.46, 95% CI: 1.48-4.10, q-value = 0.072, PPH4 = 76.1%), this finding was not replicated when pooled with the FinnGen study. For 22 of 30 cancer outcomes examined, there was little evidence (q-value ≥0.20) that any of the 66 circulating inflammatory markers examined were associated with cancer risk. INTERPRETATION Our comprehensive joint Mendelian randomization and colocalisation analysis of the role of circulating inflammatory markers in cancer risk identified potential roles for 4 circulating inflammatory markers in risk of 4 site-specific cancers. Contrary to reports from some prior conventional epidemiological studies, we found little evidence of association of circulating inflammatory markers with the majority of site-specific cancers evaluated. FUNDING Cancer Research UK (C68933/A28534, C18281/A29019, PPRCPJT∖100005), World Cancer Research Fund (IIG_FULL_2020_022), National Institute for Health Research (NIHR202411, BRC-1215-20011), Medical Research Council (MC_UU_00011/1, MC_UU_00011/3, MC_UU_00011/6, and MC_UU_00011/4), Academy of Finland Project 326291, European Union's Horizon 2020 grant agreement no. 848158 (EarlyCause), French National Cancer Institute (INCa SHSESP20, 2020-076), Versus Arthritis (21173, 21754, 21755), National Institutes of Health (U19 CA203654), National Cancer Institute (U19CA203654).
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Affiliation(s)
- James Yarmolinsky
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK.
| | - Jamie W Robinson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Daniela Mariosa
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Ville Karhunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland; Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Jian Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Karl Smith-Byrne
- The Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah J Lewis
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | | | - Sita Vermeulen
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul Martin
- School of Biochemistry, Biomedical Sciences Building, University of Bristol, University Walk, Bristol, UK
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; School of Public Health, University of Washington, Seattle, WA, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna H Wu
- University of Southern California, Preventative Medicine, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomic Group, Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia; Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Parkville, Victoria, Australia; Genetic Medicine and Family Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Sizheng Steven Zhao
- Centre for Epidemiology Versus Arthritis, Faculty of Biological Medicine and Health, University of Manchester, Manchester, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Karl-Heinz Herzig
- Institute of Biomedicine, Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland; Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Marjo-Riitta Järvelin
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland; Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Chris I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Dementia Research Institute, Imperial College London, London, UK
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Marc J Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; University Hospitals Bristol and Weston NHS Foundation Trust, National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
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Zhang MJ, Shi M, Yu Y, Wang H, Ou R, Ge RS. CP41, a novel curcumin analogue, induces apoptosis in endometrial cancer cells by activating the H3F3A/ proteasome-MAPK signaling pathway and enhancing oxidative stress. Life Sci 2024; 338:122406. [PMID: 38176583 DOI: 10.1016/j.lfs.2023.122406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/28/2023] [Accepted: 12/29/2023] [Indexed: 01/06/2024]
Abstract
AIMS Curcumin is a natural compound and has good antitumor properties, but its clinical use is limited by its low bioavailability. We constructed the derivative CP41 (3,5-bis(2-chlorobenzylidene)-1-piperidin-4-one) by enhancing the bioavailability of curcumin while retaining its antitumor properties. MAIN METHODS CCK-8 (Cell Counting Kit-8) was used to detect the effect of CP41 on cell proliferation; Western blotting, immunofluorescence, immunoprecipitation, quantitative PCR and enzyme-linked immunosorbent assay were used to evaluate the expression of subcutaneous tumor-related molecules in cells and mice. KEY FINDINGS Our results showed that CP41 inhibited the proliferation of endometrial cancer cells by suppressing the proliferation of AN3CA and HEC-1-B cells. We found that CP41 significantly increased H3F3A and inhibited proteasome activity, which activated MAPK signaling and led to apoptosis. Further experiments showed that H3F3A is a potential target of CP41. Correlation analysis showed that H3F3A was positively correlated with the sensitivity to chemotherapeutic agents in endometrial cancer. CP41 significantly induced reactive oxygen species (ROS) levels and activated endoplasmic reticulum stress, which led to apoptosis. The safety profile of CP41 was also evaluated, and CP41 did not cause significant drug toxicity in mice. SIGNIFICANCE CP41 showed stronger antitumor potency than curcumin, and its antitumor activity may be achieved by inducing ROS and activating H3F3A-mediated apoptosis.
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Affiliation(s)
- Min-Jie Zhang
- Department of Anaesthesiology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China; Department of Obstetrics and Gynecology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Mengna Shi
- Department of Anaesthesiology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China; Department of Obstetrics and Gynecology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Yang Yu
- Department of Anaesthesiology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Hong Wang
- Department of Anaesthesiology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Rongying Ou
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Wenzhou, Zhejiang 325000, China
| | - Ren-Shan Ge
- Department of Anaesthesiology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China; Department of Obstetrics and Gynecology, the Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China; Key Laboratory of Structural Malformations in Children of Zhejiang Province, Key Laboratory of Environment and Male Reproductive Medicine of Wenzhou, Zhejiang 325000, China.
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Herrera-Martínez AD, Román ÁR, Corrales EP, Idrobo C, Ramírez PP, Rojas PM, Lázaro CR, Araujo-Castro M. Adrenal incidentalomas, cortisol secretion and cancer: is there a real crosstalk? Front Endocrinol (Lausanne) 2024; 14:1335202. [PMID: 38264281 PMCID: PMC10804881 DOI: 10.3389/fendo.2023.1335202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 12/11/2023] [Indexed: 01/25/2024] Open
Abstract
Background Cortisol has immunomodulatory effects that increase the risk and evolution of several diseases. Cancer is characterized by a proinflammatory state in which cells exert impaired function and proliferation. The relation between cortisol secretion and increased risk of malignant neoplasm, or their behavior, has not been fully elucidated. Aim To determine the relation between cortisol secretion and the prevalence and clinical outcome of malignant neoplasms in patients with adrenal incidentalomas (AIs). Methods Multicenter retrospective study that included 935 patients with AIs. Cortisol secretion was defined by a cortisol post-dexamethasone suppression test > 1.8 µg/dL, and nonfunctioning AIs (NFAIs) as a value ≤ 1.8 µg/dL. Results Cortisol secretion was evident in 30.8% of the patients and cancer in 23.6% (especially breast, colorectal, prostate and thyroid cancer). No differences in the cancer prevalence were found between patients with cortisol secretion and NFAIs (63.6% vs. 63.4%, p=0.10). After adjusting by age, cortisol secretion was not associated with the presence of cancer (OR 1.29, CI 0.93-1.78). However, cortisol secretion was significantly associated with stage IV of cancer at diagnosis (OR 2.68, CI 1.19- 6.00) and mortality (OR 3.2, CI 1.28- 7.97). Patients with NFAI and breast cancer required treatment with chemo- and radio-therapy more frequently that patients with cortisol secreting AI (90% vs 10% and 92.9% vs 7.1% respectively, p<0.05), similarly patients with prostate cancer required radiotherapy more frequently (90.9% vs 9.1%, p=0.05); also, patients with colorectal cancer and NFAI, tended to require chemotherapy more frequently(76.5% vs 23.5%, p=0.06). Conclusion Cortisol secretion does not increase the risk of malignant neoplasm, but it affects its clinical course, treatment requirements and mortality, leading to a worst prognosis and higher mortality when compared with patients with NFAIs.
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Affiliation(s)
- Aura D. Herrera-Martínez
- Endocrinology & Nutrition Department, Hospital Reina Sofia, Córdoba, Spain
- Maimonides Institute for Biomedical Research of Cordoba (IMIBIC), Córdoba, Spain
| | - Ángel Rebollo Román
- Endocrinology & Nutrition Department, Hospital Reina Sofia, Córdoba, Spain
- Maimonides Institute for Biomedical Research of Cordoba (IMIBIC), Córdoba, Spain
| | - Eider Pascual Corrales
- Endocrinology & Nutrition Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
- Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain
| | - Cindy Idrobo
- Endocrinology & Nutrition Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
- Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain
| | | | | | | | - Marta Araujo-Castro
- Endocrinology & Nutrition Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
- Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain
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Watts EL, Gonzales TI, Strain T, Saint-Maurice PF, Bishop DT, Chanock SJ, Johansson M, Keku TO, Le Marchand L, Moreno V, Newcomb PA, Newton CC, Pai RK, Purdue MP, Ulrich CM, Smith-Byrne K, Van Guelpen B, Day FR, Wijndaele K, Wareham NJ, Matthews CE, Moore SC, Brage S. Observational and genetic associations between cardiorespiratory fitness and cancer: a UK Biobank and international consortia study. Br J Cancer 2024; 130:114-124. [PMID: 38057395 PMCID: PMC10781786 DOI: 10.1038/s41416-023-02489-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 10/20/2023] [Accepted: 10/31/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND The association of fitness with cancer risk is not clear. METHODS We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of lung, colorectal, endometrial, breast, and prostate cancer in a subset of UK Biobank participants who completed a submaximal fitness test in 2009-12 (N = 72,572). We also investigated relationships using two-sample Mendelian randomisation (MR), odds ratios (ORs) were estimated using the inverse-variance weighted method. RESULTS After a median of 11 years of follow-up, 4290 cancers of interest were diagnosed. A 3.5 ml O2⋅min-1⋅kg-1 total-body mass increase in fitness (equivalent to 1 metabolic equivalent of task (MET), approximately 0.5 standard deviation (SD)) was associated with lower risks of endometrial (HR = 0.81, 95% CI: 0.73-0.89), colorectal (0.94, 0.90-0.99), and breast cancer (0.96, 0.92-0.99). In MR analyses, a 0.5 SD increase in genetically predicted O2⋅min-1⋅kg-1 fat-free mass was associated with a lower risk of breast cancer (OR = 0.92, 95% CI: 0.86-0.98). After adjusting for adiposity, both the observational and genetic associations were attenuated. DISCUSSION Higher fitness levels may reduce risks of endometrial, colorectal, and breast cancer, though relationships with adiposity are complex and may mediate these relationships. Increasing fitness, including via changes in body composition, may be an effective strategy for cancer prevention.
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Affiliation(s)
- Eleanor L Watts
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Tomas I Gonzales
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Tessa Strain
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Pedro F Saint-Maurice
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mattias Johansson
- Genomics Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | | | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and University of Barcelona Institute for Complex Systems (UBICS), University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Karl Smith-Byrne
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Felix R Day
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Katrien Wijndaele
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Soren Brage
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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Chen J, Epstein MP, Schildkraut JM, Kar SP. Mapping inherited genetic variation with opposite effects on autoimmune disease and cancer identifies candidate drug targets associated with the anti-tumor immune response. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.23.23300491. [PMID: 38234717 PMCID: PMC10793537 DOI: 10.1101/2023.12.23.23300491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Background Germline alleles near genes that encode certain immune checkpoints (CTLA4, CD200) are associated with autoimmune/autoinflammatory disease and cancer but in opposite directions. This motivates a systematic search for additional germline alleles which demonstrate this pattern with the aim of identifying potential cancer immunotherapeutic targets using human genetic evidence. Methods Pairwise fixed effect cross-disorder meta-analyses combining genome-wide association studies (GWAS) for breast, prostate, ovarian and endometrial cancers (240,540 cases/317,000 controls) and seven autoimmune/autoinflammatory diseases (112,631 cases/895,386 controls) coupled with in silico follow-up. To ensure detection of alleles with opposite effects on cancer and autoimmune/autoinflammatory disease, the signs on the beta coefficients in the autoimmune/autoinflammatory GWAS were reversed prior to meta-analyses. Results Meta-analyses followed by linkage disequilibrium clumping identified 312 unique, independent lead variants with Pmeta<5x10-8 associated with at least one of the cancer types at Pcancer<10-3 and one of the autoimmune/autoinflammatory diseases at Pauto<10-3. At each lead variant, the allele that conferred autoimmune/autoinflammatory disease risk was protective for cancer. Mapping each lead variant to its nearest gene as its putative functional target and focusing on genes with established immunological effects implicated 32 of the nearest genes. Tumor bulk RNA-Seq data highlighted that the tumor expression of 5/32 genes (IRF1, IKZF1, SPI1, SH2B3, LAT) were each strongly correlated (Spearman's ρ>0.5) with at least one intra-tumor T/myeloid cell infiltration marker (CD4, CD8A, CD11B, CD45) in every one of the cancer types. Tumor single-cell RNA-Seq data from all cancer types showed that the five genes were more likely to be expressed in intra-tumor immune versus malignant cells. The five lead SNPs corresponding to these genes were linked to them via expression quantitative trait locus mechanisms and at least one additional line of functional evidence. Proteins encoded by the genes were predicted to be druggable. Conclusion We provide population-scale germline genetic and functional genomic evidence to support further evaluation of the proteins encoded by IRF1, IKZF1, SPI1, SH2B3, and LAT as possible targets for cancer immunotherapy.
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Affiliation(s)
- Junyu Chen
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Michael P Epstein
- Department of Human Genetics, School of Medicine, Emory University, Atlanta, GA, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Siddhartha P Kar
- Early Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK
- Ovarian Cancer Programme, Cancer Research UK Cambridge Centre, Cambridge, UK
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Zhang K, Liang H. Genetic estimation of correlations between circulating glutamine and cancer. Am J Cancer Res 2023; 13:6072-6089. [PMID: 38187059 PMCID: PMC10767347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/02/2023] [Indexed: 01/09/2024] Open
Abstract
The controversy regarding the causal relationship between circulating glutamine and cancer risk remains unresolved. Here, we aim to assess the causal impact of glutamine on the risk of six prevalent cancer types and their respective subtypes including breast, lung, ovarian, thyroid, prostate, and endometrial cancers. A Mendelian randomization (MR) analysis was conducted to evaluate the causal effect of circulating glutamine on cancers risk. Data on circulating glutamine were extracted from the UK Biobank (UKB), comprising 114,750 European patients. To ensure the validity of our findings, we employed several analytical approaches, such as inverse variance weighting, weighted median, weighted mode test, MR-Egger regression, and MR-PRESSO method. Both univariable and multivariable MR analyses were conducted. Additionally, we employed a large-scale summary-level study on circulating glutamine involving 24,925 European participants for validation purposes. Our MR analysis reveals a causal association between circulating glutamine and thyroid cancer in both the UKB cohort (IVW: OR = 0.667, 95% CI [0.541-0.822], P = 1.52×10-4) and the validated cohort (IVW: OR = 0.577, 95% CI [0.421-0.790], P = 6.14×10-4). Sensitivity analysis, including multivariable MR analyses, consistently supports this finding (P < 0.05), affirming the reliability and robustness of our study. Our findings indicate an inverse correlation between circulating glutamine and the incidence of thyroid cancer in European populations. However, further research encompassing diverse ancestries is necessary to validate this causal relationship.
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Affiliation(s)
- Kai Zhang
- Department of Intensive Care Unit, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, P. R. China
| | - Hongjin Liang
- Department of Intensive Care Unit, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, P. R. China
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31
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Zhao B, Wang Z, Liu D, Zhang S. Genetically predicted serum testosterone and risk of gynecological disorders: a Mendelian randomization study. Front Endocrinol (Lausanne) 2023; 14:1161356. [PMID: 38075074 PMCID: PMC10710168 DOI: 10.3389/fendo.2023.1161356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Background Testosterone plays a key role in women, but the associations of serum testosterone level with gynecological disorders risk are inconclusive in observational studies. Methods We leveraged public genome-wide association studies to analyze the effects of four testosterone related exposure factors on nine gynecological diseases. Causal estimates were calculated by inverse variance-weighted (IVW), MR-Egger and weighted median methods. The heterogeneity test was performed on the obtained data through Cochrane's Q value, and the horizontal pleiotropy test was performed on the data through MR-Egger intercept and MR-PRESSO methods. "mRnd" online analysis tool was used to evaluate the statistical power of MR estimates. Results The results showed that total testosterone and bioavailable testosterone were protective factors for ovarian cancer (odds ratio (OR) = 0.885, P = 0.012; OR = 0.871, P = 0.005) and endometriosis (OR = 0.805, P = 0.020; OR = 0.842, P = 0.028) but were risk factors for endometrial cancer (OR = 1.549, P < 0.001; OR = 1.499, P < 0.001) and polycystic ovary syndrome (PCOS) (OR = 1.606, P = 0.019; OR = 1.637, P = 0.017). dehydroepiandrosterone sulfate (DHEAS) is a protective factor against endometriosis (OR = 0.840, P = 0.016) and premature ovarian failure (POF) (OR = 0.461, P = 0.046) and a risk factor for endometrial cancer (OR= 1.788, P < 0.001) and PCOS (OR= 1.970, P = 0.014). sex hormone-binding globulin (SHBG) is a protective factor against endometrial cancer (OR = 0.823, P < 0.001) and PCOS (OR = 0.715, P = 0.031). Conclusion Our analysis suggested causal associations between serum testosterone level and ovarian cancer, endometrial cancer, endometriosis, PCOS, POF.
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Affiliation(s)
| | | | | | - Songling Zhang
- Department of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun, China
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Chen Z, Liu C, Wu J, Kong F. Association of coffee and caffeine consumption with risk and prognosis of endometrial cancer and its subgroups: a Mendelian randomization. Front Nutr 2023; 10:1291355. [PMID: 38035346 PMCID: PMC10682782 DOI: 10.3389/fnut.2023.1291355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Background Previous studies have not established potential causal associations between coffee and caffeine consumption in endometrial cancer (EC) and its subgroups. Therefore, we used a two-sample MR method to assess the causal association between coffee and caffeine consumption and EC risk. We also evaluated the association between these genetically predicted exposures and EC prognosis. Materials and methods This study used 12 and two independent single-nucleotide polymorphisms (SNPs) associated with coffee and caffeine consumption as instrumental variables at a genome-wide significance level of p < 5 × 10-8. The EC Association Consortium (ECAC) performed a genome-wide association study (GWAS) analysis of 12,906 cases and 108,979 controls. FinnGen Consortium performed a GWAS analysis of 1,967 EC cases and 167,189 controls. The primary technique we employed was inverse-variance weighted, followed by the weighted median, MR-Egger regression, and MR robust adjusted profile score methods. We used the MR pleiotropy residual sum, Outlier test, and MR-Egger regression to assess Outlier and pleiotropic variants. We also conducted a sensitivity analysis through the leave-one-out method. Results Genetically predicted coffee consumption was not associated with EC and its subgroups in the ECAC, and the association was consistent in the FinnGen consortium. After excluding eight SNPs with confounding factors, the study performed sensitivity analyses, delivering consistent results. We also observed that caffeine consumption was not correlated with EC risk. As confirmed by MR analysis, selected SNPs determined that most do not significantly impact the likelihood of developing EC. Conclusion Our study indicated no convincing evidence supports coffee and caffeine consumption causing EC or impacting its prognosis. More studies are needed to validate the results.
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Affiliation(s)
- Ziyu Chen
- Department of Gynecology and Obstetrics, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Chaosheng Liu
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Jing Wu
- Department of Gynecology and Obstetrics, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Fandou Kong
- Department of Gynecology and Obstetrics, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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Zhu T, Ding Y, Xu X, Zhang L, Zhang X, Cui Y, Liu L. Trans-ethnic Mendelian randomization study of systemic lupus erythematosus and common female hormone-dependent malignancies. Chin Med J (Engl) 2023; 136:2609-2620. [PMID: 37027287 PMCID: PMC10617913 DOI: 10.1097/cm9.0000000000002555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Observational research has reported that systemic lupus erythematosus (SLE) is related to common female hormone-dependent cancers, but the underlying causal effect remains undefined. This study aimed to explore the causal association of these conditions by Mendelian randomization (MR) analysis. METHODS We selected instrumental variables for SLE from genome-wide association studies (GWASs) conducted in European and East Asian populations. The genetic variants for female malignant neoplasms were obtained from corresponding ancestry GWASs. We utilized inverse variance weighted (IVW) as the primary analysis, followed by sensitivity analysis. Furthermore, we conducted multivariable MR (MVMR) to estimate direct effects by adjusting for the body mass index and estradiol. Finally, we implemented reverse direction MR analysis and gave a negative example to test the reliability of MR results. RESULTS We found SLE was significantly negatively associated with overall endometrial cancer risk (odds ratio [OR] = 0.961, 95% confidence interval [CI] = 0.935-0.987, P = 3.57E-03) and moderately inversely related to endometrioid endometrial cancer (ENEC) (OR = 0.965, 95% CI = 0.936-0.995, P = 0.024) risk in the European population by IVW. We replicated these results using other MR models and detected a direct effect by MVMR (overall endometrial cancer, OR = 0.962, 95% CI = 0.941-0.983, P = 5.11E-04; ENEC, OR = 0.964, 95% CI = 0.940-0.989, P = 0.005). Moreover, we revealed that SLE was correlated with decreased breast cancer risk (OR = 0.951, 95% CI = 0.918-0.986, P = 0.006) in the East Asian population by IVW, and the effect was still significant in MVMR (OR = 0.934, 95% CI = 0.859-0.976, P = 0.002). The statistical powers of positive MR results were all >0.9. CONCLUSION This finding suggests a possible causal effect of SLE on the risk of overall endometrial cancer and breast cancer in European and East Asian populations, respectively, by MR analysis, which compensates for inherent limitations of observational research.
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Affiliation(s)
- Tingting Zhu
- Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
- Institute of Dermatology, Anhui Medical University, Hefei, Anhui 230022, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230022, China
- Department of Rheumatology and Immunology, Arthritis Research Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Yantao Ding
- Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
- Institute of Dermatology, Anhui Medical University, Hefei, Anhui 230022, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230022, China
| | - Xiaoli Xu
- Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
- Institute of Dermatology, Anhui Medical University, Hefei, Anhui 230022, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230022, China
| | - Liyin Zhang
- Department of Dermatology, Wuxi Second Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu 214001, China
| | - Xuejun Zhang
- Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
- Institute of Dermatology, Anhui Medical University, Hefei, Anhui 230022, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230022, China
| | - Yong Cui
- Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Lu Liu
- Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
- Institute of Dermatology, Anhui Medical University, Hefei, Anhui 230022, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230022, China
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Kong X, Yu J, Zhu Z, Wang C, Zhang R, Qi J, Wang Y, Wang X, Pan S, Liu L, Feng R. Causal associations of histidine and 12 site-specific cancers: a bidirectional Mendelian randomization study. Mol Genet Genomics 2023; 298:1331-1341. [PMID: 37498357 DOI: 10.1007/s00438-023-02057-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 07/19/2023] [Indexed: 07/28/2023]
Abstract
An increasing number of studies indicate that cancer patients' histidine (HIS) circulating levels have changed. However, the causality between HIS and cancer is still not well established. Thus, to ascertain the causal link between HIS and cancers, we performed a bidirectional Mendelian randomization (MR) analysis. Summary-level data are derived from publicly available genome-wide association studies (GWAS). The causal effects were mainly estimated using the inverse-variance weighted method (IVW). The weighted-median (WM) method and MR-Egger regression were conducted as sensitivity analyses. In the forward-MR, we found malignant neoplasm of respiratory system and intrathoracic organs (OR: 1.020; 95% CI: 1.006-1.035; pIVW = 0.007) genetically associated with circulating HIS. And there was no significant genetic correlation between HIS and another 11 site-specific cancers using IVW method. In the reversed-MR, we did not observe the causal relationship between HIS and 12 site-specific cancers. Our findings help clarify that HIS, as a biomarker for malignant neoplasms of respiratory system and intrathoracic organs, is causal rather than a secondary biomarker of the cancerous progression. The mechanism between histidine and cancer progression deserves further investigation.
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Affiliation(s)
- Xiangju Kong
- Department of Gynaecology, First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China
| | - Jiaying Yu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Zhuolin Zhu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Cheng Wang
- Department of Environmental Hygiene, Public Health College, Harbin Medical University, Harbin, People's Republic of China
| | - Runan Zhang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Jiayue Qi
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Yiran Wang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Xiaoxin Wang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Sijia Pan
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China.
| | - Rennan Feng
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China.
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Zhou Y, Zhou X, Sun J, Wang L, Zhao J, Chen J, Yuan S, He Y, Timofeeva M, Spiliopoulou A, Mesa‐Eguiagaray I, Farrington SM, Ding K, Dunlop MG, Qian X, Theodoratou E, Li X. Exploring the cross-cancer effect of smoking and its fingerprints in blood DNA methylation on multiple cancers: A Mendelian randomization study. Int J Cancer 2023; 153:1477-1486. [PMID: 37449541 PMCID: PMC10952911 DOI: 10.1002/ijc.34656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/11/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023]
Abstract
Aberrant smoking-related DNA methylation has been widely investigated as a carcinogenesis mechanism, but whether the cross-cancer epigenetic pathways exist remains unclear. We conducted two-sample Mendelian randomization (MR) analyses respectively on smoking behaviors (age of smoking initiation, smoking initiation, smoking cessation, and lifetime smoking index [LSI]) and smoking-related DNA methylation to investigate their effect on 15 site-specific cancers, based on a genome-wide association study (GWAS) of 1.2 million European individuals and an epigenome-WAS (EWAS) of 5907 blood samples of Europeans for smoking and 15 GWASs of European ancestry for multiple site-specific cancers. Significantly identified CpG sites were further used for colocalization analysis, and those with cross-cancer effect were validated by overlapping with tissue-specific eQTLs. In the genomic MR, smoking measurements of smoking initiation, smoking cessation and LSI were suggested to be casually associated with risk of seven types of site-specific cancers, among which cancers at lung, cervix and colorectum were provided with strong evidence. In the epigenetic MR, methylation at 75 CpG sites were reported to be significantly associated with increased risks of multiple cancers. Eight out of 75 CpG sites were observed with cross-cancer effect, among which cg06639488 (EFNA1), cg12101586 (CYP1A1) and cg14142171 (HLA-L) were validated by eQTLs at specific cancer sites, and cg07932199 (ATXN2) had strong evidence to be associated with cancers of lung (coefficient, 0.65, 95% confidence interval [CI], 0.31-1.00), colorectum (0.90 [0.61, 1.18]), breast (0.31 [0.20, 0.43]) and endometrium (0.98 [0.68, 1.27]). These findings highlight the potential practices targeting DNA methylation-involved cross-cancer pathways.
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Affiliation(s)
- Yajing Zhou
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xuan Zhou
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Centre for Population Health Sciences, Usher InstituteUniversity of EdinburghEdinburghUK
| | - Jing Sun
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Lijuan Wang
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Centre for Global Health Sciences, Usher InstituteUniversity of EdinburghEdinburghUK
| | - Jianhui Zhao
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Jie Chen
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional EpidemiologyInstitute of Environmental Medicine, Karolinska InstitutetStockholmSweden
| | - Yazhou He
- Department of Oncology, West China School of Public Health and West China Fourth HospitalSichuan UniversityChengduChina
| | - Maria Timofeeva
- Danish Institute for Advanced Study (DIAS), Epidemiology, Biostatistics and Biodemography Research UnitInstitute of Public Health, University of Southern DenmarkOdenseDenmark
| | - Athina Spiliopoulou
- Centre for Population Health Sciences, Usher InstituteUniversity of EdinburghEdinburghUK
| | - Ines Mesa‐Eguiagaray
- Centre for Global Health Sciences, Usher InstituteUniversity of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
| | - Susan M. Farrington
- Colon Cancer Genetics Group, Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
| | - Kefeng Ding
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Malcolm G Dunlop
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
- Colon Cancer Genetics Group, Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
| | - Xiao Qian
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Evropi Theodoratou
- Centre for Global Health Sciences, Usher InstituteUniversity of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
| | - Xue Li
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
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Gao H, Zheng S, Yuan X, Xie J, Xu L. Causal association between inflammatory bowel disease and 32 site-specific extracolonic cancers: a Mendelian randomization study. BMC Med 2023; 21:389. [PMID: 37817217 PMCID: PMC10566178 DOI: 10.1186/s12916-023-03096-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 09/27/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND The risk of extracolonic cancer is increased in inflammatory bowel disease (IBD) patients, but it is not clear whether there is a causal relationship. We aimed to systematically estimate the causal relationship between IBD and extracolonic cancers. METHODS Independent genetic variants strongly associated with IBD were extracted as instrumental variables from genome-wide association study (GWAS) conducted by the International IBD Genetics Consortium including 12,882 IBD patients, 5956 Crohn's disease (CD) patients, and 6968 ulcerative colitis (UC) patients. Three sources of cancer GWAS were selected as outcome data. Two-sample Mendelian randomization (MR) analysis was conducted to assess the causal effects of IBD on 32 extracolonic cancers. The meta-analysis was applied to assess the combined causal effect with multiple MR results. RESULTS IBD, CD, and UC have potential causal associations with oral cavity cancer (IBD: OR = 1.180, 95% CI: 1.059 to 1.316, P = 0.003; CD: OR = 1.112, 95% CI: 1.008 to 1.227, P = 0.034; UC: OR = 1.158, 95% CI: 1.041 to 1.288, P = 0.007). Meta-analysis showed a significant positive causal relationship between IBD and breast cancer (OR = 1.059; 95% CI: 1.033 to 1.086; P < 0.0001) as well as a potential causal relationship between CD and breast cancer (OR = 1.029; 95% CI: 1.002 to 1.055; P = 0.032) based on combining multiple MR results. CONCLUSIONS This comprehensive MR analysis suggested that genetically predicted IBD, as well as its subtypes, may be a risk factor in the development of oral cavity and breast cancer.
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Affiliation(s)
- Hui Gao
- Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, ZheJiang, 315010, China
- Health Science Center, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Shuhao Zheng
- Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, ZheJiang, 315010, China
- Health Science Center, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Xin Yuan
- Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, ZheJiang, 315010, China
| | - Jiarong Xie
- Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, ZheJiang, 315010, China
| | - Lei Xu
- Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, ZheJiang, 315010, China.
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Haycock PC, Borges MC, Burrows K, Lemaitre RN, Harrison S, Burgess S, Chang X, Westra J, Khankari NK, Tsilidis KK, Gaunt T, Hemani G, Zheng J, Truong T, O’Mara TA, Spurdle AB, Law MH, Slager SL, Birmann BM, Saberi Hosnijeh F, Mariosa D, Amos CI, Hung RJ, Zheng W, Gunter MJ, Davey Smith G, Relton C, Martin RM. Design and quality control of large-scale two-sample Mendelian randomization studies. Int J Epidemiol 2023; 52:1498-1521. [PMID: 38587501 PMCID: PMC10555669 DOI: 10.1093/ije/dyad018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 02/10/2023] [Indexed: 03/27/2024] Open
Abstract
Background Mendelian randomization (MR) studies are susceptible to metadata errors (e.g. incorrect specification of the effect allele column) and other analytical issues that can introduce substantial bias into analyses. We developed a quality control (QC) pipeline for the Fatty Acids in Cancer Mendelian Randomization Collaboration (FAMRC) that can be used to identify and correct for such errors. Methods We collated summary association statistics from fatty acid and cancer genome-wide association studies (GWAS) and subjected the collated data to a comprehensive QC pipeline. We identified metadata errors through comparison of study-specific statistics to external reference data sets (the National Human Genome Research Institute-European Bioinformatics Institute GWAS catalogue and 1000 genome super populations) and other analytical issues through comparison of reported to expected genetic effect sizes. Comparisons were based on three sets of genetic variants: (i) GWAS hits for fatty acids, (ii) GWAS hits for cancer and (iii) a 1000 genomes reference set. Results We collated summary data from 6 fatty acid and 54 cancer GWAS. Metadata errors and analytical issues with the potential to introduce substantial bias were identified in seven studies (11.6%). After resolving metadata errors and analytical issues, we created a data set of 219 842 genetic associations with 90 cancer types, generated in analyses of 566 665 cancer cases and 1 622 374 controls. Conclusions In this large MR collaboration, 11.6% of included studies were affected by a substantial metadata error or analytical issue. By increasing the integrity of collated summary data prior to their analysis, our protocol can be used to increase the reliability of downstream MR analyses. Our pipeline is available to other researchers via the CheckSumStats package (https://github.com/MRCIEU/CheckSumStats).
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Affiliation(s)
- Philip C Haycock
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Sean Harrison
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat—National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Jason Westra
- Department of Mathematics, Statistics, and Computer Science, Dordt College, Sioux Center, IA, USA
| | - Nikhil K Khankari
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Tom Gaunt
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jie Zheng
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Therese Truong
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Team “Exposome, Heredity, Cancer and Health”, CESP, Villejuif, France
| | - Tracy A O’Mara
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Medicine, Faculty of Health Sciences, University of Queensland, Brisbane, Australia
| | - Amanda B Spurdle
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Medicine, Faculty of Health Sciences, University of Queensland, Brisbane, Australia
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Daniela Mariosa
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC), Lyon, France
| | - Christopher I Amos
- Dan L Duncan Comprehensive Cancer Center Baylor College of Medicine, Houston, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health and University of Toronto, Toronto, Canada
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Richard M Martin
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
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Zhao X, Wu X, Xiao J, Zhang L, Hao Y, Xiao C, Zhang B, Li J, Jiang X. A large-scale genome-wide cross-trait analysis for the effect of COVID-19 on female-specific cancers. iScience 2023; 26:107497. [PMID: 37636041 PMCID: PMC10450412 DOI: 10.1016/j.isci.2023.107497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 06/24/2023] [Accepted: 07/26/2023] [Indexed: 08/29/2023] Open
Abstract
Little is known regarding the long-term adverse effects of COVID-19 on female-specific cancers, nor the shared genetic influences underlying these conditions. We performed a comprehensive genome-wide cross-trait analysis to investigate the shared genetic architecture between COVID-19 (infection, hospitalization, and critical illness) with three female-specific cancers (breast cancer (BC), epithelial ovarian cancer (EOC), and endometrial cancer (EC)). We identified significant genome-wide genetic correlations with EC for both hospitalization (r g = 0.19, p = 0.01) and critical illness (r g = 0.29, p = 3.00 × 10-4). Mendelian randomization demonstrated no valid association of COVID-19 with any cancer of interest, except for suggestive associations of genetically predicted hospitalization (ORIVW = 1.09, p = 0.04) and critical illness (ORIVW = 1.06, p = 0.04) with EC risk, none withstanding multiple correction. Cross-trait meta-analysis identified 20 SNPs shared between COVID-19 with BC, 15 with EOC, and 5 with EC; and transcriptome-wide association studies revealed multiple shared genes. Findings support intrinsic links underlying these complex traits, highlighting shared mechanisms rather than causal associations.
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Affiliation(s)
- Xunying Zhao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yu Hao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ben Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Solna, Stockholm, Sweden
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Jia Y, Yao P, Li J, Wei X, Liu X, Wu H, Wang W, Feng C, Li C, Zhang Y, Cai Y, Zhang S, Ma X. Causal associations of Sjögren's syndrome with cancers: a two-sample Mendelian randomization study. Arthritis Res Ther 2023; 25:171. [PMID: 37715206 PMCID: PMC10503000 DOI: 10.1186/s13075-023-03157-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 08/30/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND Several observational studies have explored the associations between Sjögren's syndrome (SS) and certain cancers. Nevertheless, the causal relationships remain unclear. Mendelian randomization (MR) method was used to investigate the causality between SS and different types of cancers. METHODS We conducted the two-sample Mendelian randomization with the public genome-wide association studies (GWASs) summary statistics in European population to evaluate the causality between SS and nine types of cancers. The sample size varies from 1080 to 372,373. The inverse variance weighted (IVW) method was used to estimate the causal effects. A Bonferroni-corrected threshold of P < 0.0031 was considered significant, and P value between 0.0031 and 0.05 was considered to be suggestive of an association. Sensitivity analysis was performed to validate the causality. Moreover, additional analysis was used to assess the associations between SS and well-accepted risk factors of cancers. RESULTS After correcting the heterogeneity and horizontal pleiotropy, the results indicated that patients with SS were significantly associated with an increased risk of lymphomas (odds ratio [OR] = 1.0010, 95% confidence interval [CI]: 1.0005-1.0015, P = 0.0002) and reduced risks of prostate cancer (OR = 0.9972, 95% CI: 0.9960-0.9985, P = 2.45 × 10-5) and endometrial cancer (OR = 0.9414, 95% CI: 0.9158-0.9676, P = 1.65 × 10-5). Suggestive associations were found in liver and bile duct cancer (OR = 0.9999, 95% CI: 0.9997-1.0000, P = 0.0291) and cancer of urinary tract (OR = 0.9996, 95% CI: 0.9992-1.0000, P = 0.0281). No causal effect of SS on other cancer types was detected. Additional MR analysis indicated that causal effects between SS and cancers were not mediated by the well-accepted risk factors of cancers. No evidence of the causal relationship was observed for cancers on SS. CONCLUSIONS SS had significant causal relationships with lymphomas, prostate cancer, and endometrial cancer, and suggestive evidence of association was found in liver and bile duct cancer and cancer of urinary tract, indicating that SS may play a vital role in the incidence of these malignancies.
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Affiliation(s)
- Yiwei Jia
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Peizhuo Yao
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Jia Li
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Xinyu Wei
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Xuanyu Liu
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Huizi Wu
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Weiwei Wang
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Cong Feng
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Chaofan Li
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Yu Zhang
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Yifan Cai
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China
| | - Shuqun Zhang
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China.
| | - Xingcong Ma
- Department of Oncology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, People's Republic of China.
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Zhang F, Luo J, Tian Y, Tang B, Lv H, Liu H, Zhang J. Allergic Rhinitis and Cancer Risk: A Two-Sample Mendelian Randomization Study. Genet Test Mol Biomarkers 2023; 27:269-276. [PMID: 37768329 DOI: 10.1089/gtmb.2023.0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023] Open
Abstract
Background: There is increasing evidence that allergic rhinitis (AR) is associated with cancer. However, these results are inconsistent. Because of common risk factors, there may be reverse causality and confounding factors that affect our understanding of the relationship between AR and cancer. We aimed to explore the role of AR in cancer development using Mendelian randomization (MR) analysis. Materials and Methods: We performed a two-sample MR analysis using summary data from genome-wide association studies (GWAS). Single nucleotide polymorphisms (SNPs) strongly associated with AR (or hay fever) were used as instrumental variables, mainly using the inverse variance weighted analysis method, supplemented by MR Egger, maximum likelihood, weighted media, and penalized weighted media for MR analysis. Sensitivity analyses included heterogeneity and horizontal pleiotropy; and leave-one-out analyses were performed to test the robustness of our results. Results: MR analysis revealed no evidence of a causal relationship between AR and any of the examined cancers (all p > 0.05). The results using five different analytical approaches were similar. Sensitivity analyses showed no evidence of heterogeneity nor horizontal pleiotropy. According to the leave-one-out sensitivity analyses, no individual SNP was significantly influencing the causal effect of AR on cancers. Conclusions: These findings do not provide evidence to support that AR has a large impact on the risk of eight common cancers in the European population. However, we cannot rule out a very minor effect of AR on cancer. Further large-scale studies are necessary to validate our findings.
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Affiliation(s)
- Fang Zhang
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- Department of Otolaryngology Head and Neck Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Jing Luo
- Department of Otolaryngology Head and Neck Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Yang Tian
- Department of Otolaryngology Head and Neck Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Bingjie Tang
- Department of Otolaryngology Head and Neck Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Hailing Lv
- Department of Otolaryngology Head and Neck Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Hai Liu
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jianhui Zhang
- Department of Otolaryngology Head and Neck Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
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Sorouri K, Lynce F, Feltmate CM, Davis MR, Muto MG, Konstantinopoulos PA, Stover EH, Kurian AW, Hill SJ, Partridge AH, Tolaney SM, Garber JE, Bychkovsky BL. Endometrial Cancer Risk Among Germline BRCA1/ 2 Pathogenic Variant Carriers: Review of Our Current Understanding and Next Steps. JCO Precis Oncol 2023; 7:e2300290. [PMID: 38061009 PMCID: PMC10715772 DOI: 10.1200/po.23.00290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 08/02/2023] [Accepted: 09/14/2023] [Indexed: 12/18/2023] Open
Abstract
PURPOSE To review the literature exploring endometrial cancer (EC) risk among surgical candidates with germline BRCA1/2 pathogenic variants (PVs) to guide decisions around risk-reducing (rr) hysterectomy in this population. DESIGN A comprehensive review was conducted of the current literature that influences clinical practice and informs expert consensus. We present our understanding of EC risk among BRCA1/2 PV carriers, the risk-modifying factors specific to this patient population, and the available research technology that may guide clinical practice in the future. Limitations of the existing literature are outlined. RESULTS Patients with BRCA1/2 PVs, those with a personal history of tamoxifen use, those who desire long-term hormone replacement therapy, and/or have an elevated BMI are at higher risk of EC, primarily endometrioid EC and/or uterine papillary serous carcinoma, and may benefit from rr-hysterectomy. Although prescriptive clinical guidelines specific to BRCA1/2 PV carriers could inform decisions around rr-hysterectomy, limitations of the current literature prevent more definitive guidance at this time. A large population-based study of a contemporary cohort of BRCA1/2 PV carriers with lifetime follow-up compared with cancer-gene negative controls would advance this topic and facilitate care decisions. CONCLUSION This review validates a potential role for rr-hysterectomy to address EC risk among surgical candidates with BRCA1/2 PVs. Evidence-based clinical guidelines for rr-hysterectomy in BRCA1/2 PV carriers are essential to ensure equitable access to this preventive measure, supporting insurance coverage for patients with either BRCA1 or BRCA2 PVs to pursue rr-hysterectomy. Overall, this review highlights the complexity of EC risk in BRCA1/2 PV carriers and offers a comprehensive framework to shared decision making to inform rr-hysterectomy for BRCA1/2 PV carriers.
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Affiliation(s)
- Kimia Sorouri
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Filipa Lynce
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
| | - Colleen M. Feltmate
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Brigham and Women's Hospital, Boston, MA
| | - Michelle R. Davis
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Brigham and Women's Hospital, Boston, MA
| | - Michael G. Muto
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Brigham and Women's Hospital, Boston, MA
| | - Panagiotis A. Konstantinopoulos
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elizabeth H. Stover
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Sarah J. Hill
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Ann H. Partridge
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
| | - Sara M. Tolaney
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
| | - Judy E. Garber
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA
| | - Brittany L. Bychkovsky
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA
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Gregga I, Pharoah PDP, Gayther SA, Manichaikul A, Im HK, Kar SP, Schildkraut JM, Wheeler HE. Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility. Cancer Epidemiol Biomarkers Prev 2023; 32:1198-1207. [PMID: 37409955 PMCID: PMC10528410 DOI: 10.1158/1055-9965.epi-23-0309] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/30/2023] [Accepted: 06/28/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND Predicting protein levels from genotypes for proteome-wide association studies (PWAS) may provide insight into the mechanisms underlying cancer susceptibility. METHODS We performed PWAS of breast, endometrial, ovarian, and prostate cancers and their subtypes in several large European-ancestry discovery consortia (effective sample size: 237,483 cases/317,006 controls) and tested the results for replication in an independent European-ancestry GWAS (31,969 cases/410,350 controls). We performed PWAS using the cancer GWAS summary statistics and two sets of plasma protein prediction models, followed by colocalization analysis. RESULTS Using Atherosclerosis Risk in Communities (ARIC) models, we identified 93 protein-cancer associations [false discovery rate (FDR) < 0.05]. We then performed a meta-analysis of the discovery and replication PWAS, resulting in 61 significant protein-cancer associations (FDR < 0.05). Ten of 15 protein-cancer pairs that could be tested using Trans-Omics for Precision Medicine (TOPMed) protein prediction models replicated with the same directions of effect in both cancer GWAS (P < 0.05). To further support our results, we applied Bayesian colocalization analysis and found colocalized SNPs for SERPINA3 protein levels and prostate cancer (posterior probability, PP = 0.65) and SNUPN protein levels and breast cancer (PP = 0.62). CONCLUSIONS We used PWAS to identify potential biomarkers of hormone-related cancer risk. SNPs in SERPINA3 and SNUPN did not reach genome-wide significance for cancer in the original GWAS, highlighting the power of PWAS for novel locus discovery, with the added advantage of providing directions of protein effect. IMPACT PWAS and colocalization are promising methods to identify potential molecular mechanisms underlying complex traits.
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Affiliation(s)
- Isabelle Gregga
- Department of Biology, Loyola University Chicago, Chicago, IL, USA
- Program in Bioinformatics, Loyola University Chicago, Chicago, IL, USA
| | - Paul D. P. Pharoah
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Simon A. Gayther
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Hae Kyung Im
- Section of Genetic Medicine, The University of Chicago, Chicago, IL, USA
| | - Siddhartha P. Kar
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Joellen M. Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Heather E. Wheeler
- Department of Biology, Loyola University Chicago, Chicago, IL, USA
- Program in Bioinformatics, Loyola University Chicago, Chicago, IL, USA
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Lv Y, Xia X, Lei L, Xiang W, Wu X, Xie S, Li J. Health outcomes of age at menarche in European women: a two-sample Mendelian randomization study. Postgrad Med J 2023; 99:993-999. [PMID: 37302123 DOI: 10.1093/postmj/qgad023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 01/31/2023] [Accepted: 02/10/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND Observational studies have shown an association between age at menarche (AAM) and the risk of gynecological diseases. However, the causality cannot be determined due to residual confounding. METHODS We conducted a Mendelian randomization (MR) study to evaluate the causal effect of AAM on several gynecological diseases, including endometriosis, female infertility, pre-eclampsia or eclampsia, uterine fibroids, breast cancer, ovarian cancer, and endometrial cancer. Single nucleotide polymorphisms were used as genetic instruments. The inverse variance weighted method was used as the primary approach and several other MR models were conducted for comparison. Cochran's Q test, Egger's intercept test, and leave-one-out analysis were conducted for sensitivity analysis. Radial MR analysis was conducted when detecting the existence of heterogeneity. RESULTS After Bonferroni correction and thorough sensitivity analysis, we observed a robust causal effect of AAM on endometrial cancer (odds ratio: 0.80; 95% confidence interval: 0.72-0.89; P = 4.61 × 10-5) and breast cancer (odds ratio: 0.94; 95% confidence interval: 0.90-0.98; P = .003). Sensitivity analysis found little evidence of horizontal pleiotropy. The inverse variance weighted method also detected weak evidence of associations of AAM with endometriosis and pre-eclampsia or eclampsia. CONCLUSIONS This MR study demonstrated a causal effect of AAM on gynecological diseases, especially for breast cancer and endometrial cancer, which indicates AAM might be a promising index to use for disease screening and prevention in clinical practice. Key messages What is already known on this topic - Observational studies have reported associations between age at menarche (AAM) and a variety of gynecological diseases but the causality has not been determined. What this study adds - This Mendelian randomization study demonstrated that AAM causally affects the risk of breast cancer and endometrial cancer. How this study might affect research, practice, or policy - The findings of our study imply that AAM could be a candidate marker for early screening of populations at higher risk of breast cancer and endometrial cancer.
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Affiliation(s)
- Yang Lv
- Department of Medical Intensive Care Unit, Wuhan Asia General Hospital, Wuhan, Hubei, 430056, China
| | - Xing Xia
- Department of Medical Intensive Care Unit, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430070, China
| | - Lei Lei
- Department of Medical Intensive Care Unit, Wuhan Asia General Hospital, Wuhan, Hubei, 430056, China
| | - Wei Xiang
- Department of Medical Intensive Care Unit, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430070, China
| | - Xuan Wu
- Department of Medical Intensive Care Unit, Wuhan Asia General Hospital, Wuhan, Hubei, 430056, China
| | - Songbo Xie
- Intensive Care Unit, Jianli People's Hospital, Jingzhou, Hubei, 433399, China
| | - Jie Li
- Department of Medical Intensive Care Unit, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430070, China
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Dong Z, Xu M, Sun X, Wang X. Mendelian randomization and transcriptomic analysis reveal an inverse causal relationship between Alzheimer's disease and cancer. J Transl Med 2023; 21:527. [PMID: 37542274 PMCID: PMC10403895 DOI: 10.1186/s12967-023-04357-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/14/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) and cancer are common age-related diseases, and epidemiological evidence suggests an inverse relationship between them. However, investigating the potential mechanism underlying their relationship remains insufficient. METHODS Based on genome-wide association summary statistics for 42,034 AD patients and 609,951 cancer patients from the GWAS Catalog using the two-sample Mendelian randomization (MR) method. Moreover, we utilized two-step MR to identify metabolites mediating between AD and cancer. Furthermore, we employed colocalization analysis to identify genes whose upregulation is a risk factor for AD and demonstrated the genes' upregulation to be a favorable prognostic factor for cancer by analyzing transcriptomic data for 33 TCGA cancer types. RESULTS Two-sample MR analysis revealed a significant causal influence for increased AD risk on reduced cancer risk. Two-step MR analysis identified very low-density lipoprotein (VLDL) as a key mediator of the negative cause-effect relationship between AD and cancer. Colocalization analysis uncovered PVRIG upregulation to be a risk factor for AD. Transcriptomic analysis showed that PVRIG expression had significant negative correlations with stemness scores, and positive correlations with antitumor immune responses and overall survival in pan-cancer and multiple cancer types. CONCLUSION AD may result in lower cancer risk. VLDL is a significant intermediate variable linking AD with cancer. PVRIG abundance is a risk factor for AD but a protective factor for cancer. This study demonstrates a causal influence for AD on cancer and provides potential molecular connections between both diseases.
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Affiliation(s)
- Zehua Dong
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Mengli Xu
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Xu Sun
- Department of Pharmacy, Nanjing Luhe People's Hospital, Nanjing, 211500, China.
- Department of Pharmacy, Luhe Hospital Affiliated with Yangzhou University Medical College, Nanjing, 211500, China.
| | - Xiaosheng Wang
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China.
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Rogers M, Gill D, Ahlqvist E, Robinson T, Mariosa D, Johansson M, Cortez Cardoso Penha R, Dossus L, Gunter MJ, Moreno V, Davey Smith G, Martin RM, Yarmolinsky J. Genetically proxied impaired GIPR signaling and risk of 6 cancers. iScience 2023; 26:106848. [PMID: 37250804 PMCID: PMC10209536 DOI: 10.1016/j.isci.2023.106848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 03/15/2023] [Accepted: 05/04/2023] [Indexed: 05/31/2023] Open
Abstract
Preclinical and genetic studies suggest that impaired glucose-dependent insulinotropic polypeptide receptor (GIPR) signaling worsens glycemic control. The relationship between GIPR signaling and the risk of cancers influenced by impaired glucose homeostasis is unclear. We examined the association of a variant in GIPR, rs1800437 (E354Q), shown to impair long-term GIPR signaling and lower circulating glucose-dependent insulinotropic peptide concentrations, with risk of 6 cancers influenced by impaired glucose homeostasis (breast, colorectal, endometrial, lung, pancreatic, and renal) in up to 235,698 cases and 333,932 controls. Each copy of E354Q was associated with a higher risk of overall and luminal A-like breast cancer and this association was consistent in replication and colocalization analyses. E354Q was also associated with higher postprandial glucose concentrations but diminished insulin secretion and lower testosterone concentrations. Our human genetics analysis suggests an adverse effect of the GIPR E354Q variant on breast cancer risk, supporting further evaluation of GIPR signaling in breast cancer prevention.
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Affiliation(s)
- Miranda Rogers
- MRC Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2PS Bristol, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG London, UK
- Chief Scientific Office, Research and Early Development, Novo Nordisk, 2300 Copenhagen, Denmark
| | - Emma Ahlqvist
- Department of Clinical Sciences, Lund University, Lund, 22362 Malmö, Sweden
| | - Tim Robinson
- MRC Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2PS Bristol, UK
| | - Daniela Mariosa
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), 69007 Lyon, France
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), 69007 Lyon, France
| | | | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), 69007 Lyon, France
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), 69007 Lyon, France
| | - Victor Moreno
- Biomarkers and Susceptibility Unit, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute(IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, 08036 Barcelona, Spain
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2PS Bristol, UK
| | - Richard M. Martin
- MRC Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2PS Bristol, UK
- University Hospitals Bristol and Weston NHS Foundation Trust, National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, BS8 2BN Bristol, UK
| | - James Yarmolinsky
- MRC Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2PS Bristol, UK
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Lindström S, Wang L, Feng H, Majumdar A, Huo S, Macdonald J, Harrison T, Turman C, Chen H, Mancuso N, Bammler T, Gallinger S, Gruber SB, Gunter MJ, Le Marchand L, Moreno V, Offit K, De Vivo I, O’Mara TA, Spurdle AB, Tomlinson I, Fitzgerald R, Gharahkhani P, Gockel I, Jankowski J, Macgregor S, Schumacher J, Barnholtz-Sloan J, Bondy ML, Houlston RS, Jenkins RB, Melin B, Wrensch M, Brennan P, Christiani DC, Johansson M, Mckay J, Aldrich MC, Amos CI, Landi MT, Tardon A, Bishop DT, Demenais F, Goldstein AM, Iles MM, Kanetsky PA, Law MH, Amundadottir LT, Stolzenberg-Solomon R, Wolpin BM, Klein A, Petersen G, Risch H, Chanock SJ, Purdue MP, Scelo G, Pharoah P, Kar S, Hung RJ, Pasaniuc B, Kraft P. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. J Natl Cancer Inst 2023; 115:712-732. [PMID: 36929942 PMCID: PMC10248849 DOI: 10.1093/jnci/djad043] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/07/2022] [Accepted: 02/14/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND The shared inherited genetic contribution to risk of different cancers is not fully known. In this study, we leverage results from 12 cancer genome-wide association studies (GWAS) to quantify pairwise genome-wide genetic correlations across cancers and identify novel cancer susceptibility loci. METHODS We collected GWAS summary statistics for 12 solid cancers based on 376 759 participants with cancer and 532 864 participants without cancer of European ancestry. The included cancer types were breast, colorectal, endometrial, esophageal, glioma, head and neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancers. We conducted cross-cancer GWAS and transcriptome-wide association studies to discover novel cancer susceptibility loci. Finally, we assessed the extent of variant-specific pleiotropy among cancers at known and newly identified cancer susceptibility loci. RESULTS We observed widespread but modest genome-wide genetic correlations across cancers. In cross-cancer GWAS and transcriptome-wide association studies, we identified 15 novel cancer susceptibility loci. Additionally, we identified multiple variants at 77 distinct loci with strong evidence of being associated with at least 2 cancer types by testing for pleiotropy at known cancer susceptibility loci. CONCLUSIONS Overall, these results suggest that some genetic risk variants are shared among cancers, though much of cancer heritability is cancer-specific and thus tissue-specific. The increase in statistical power associated with larger sample sizes in cross-disease analysis allows for the identification of novel susceptibility regions. Future studies incorporating data on multiple cancer types are likely to identify additional regions associated with the risk of multiple cancer types.
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Affiliation(s)
- Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lu Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Helian Feng
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Arunabha Majumdar
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
| | - Sijia Huo
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - James Macdonald
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Tabitha Harrison
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hongjie Chen
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Nicholas Mancuso
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theo Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | | | - Steve Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Marc J Gunter
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | | | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Radcliffe Institute, Cambridge, MA, USA
| | - Tracy A O’Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ian Tomlinson
- Cancer Research Centre, The University of Edinburgh, Edinburgh, UK
| | | | - Rebecca Fitzgerald
- MRC Cancer Unit, Hutchison-MRC Research Centre, University of Cambridge, Cambridge, UK
| | - Puya Gharahkhani
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Janusz Jankowski
- Institute for Clinical Trials, University College London, Holborn, UK
- University of the South Pacific, Suva, Fiji
| | - Stuart Macgregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Jill Barnholtz-Sloan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Trans-Divisional Research Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Melissa L Bondy
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - David C Christiani
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James Mckay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Adonina Tardon
- University Institute of Oncology of the Principality of Asturias (IUOPA), University of Oviedo and Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Oviedo, Spain
| | | | - D Timothy Bishop
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Florence Demenais
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR-1124, Paris, France
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark M Iles
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia
| | | | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | | | - Alison Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Gloria Petersen
- Department of Quantitative Health Science, Mayo Clinic, Rochester, MN, USA
| | - Harvey Risch
- Yale School of Public Health, Chronic Disease Epidemiology, New Haven, CT, USA
| | | | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ghislaine Scelo
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Siddhartha Kar
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Bogdan Pasaniuc
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Peter Kraft
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Lankester J, Li J, Salfati ELI, Stefanick ML, Chan KHK, Liu S, Crandall CJ, Clarke SL, Assimes TL. Genetic evidence for causal relationships between age at natural menopause and the risk of ageing-associated adverse health outcomes. Int J Epidemiol 2023; 52:806-816. [PMID: 36409989 PMCID: PMC10244052 DOI: 10.1093/ije/dyac215] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 11/11/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND A later age at natural menopause (ANM) has been linked to several ageing-associated traits including an increased risk of breast and endometrial cancer and a decreased risk of lung cancer, osteoporosis and Alzheimer disease. However, ANM is also related to several proxies for overall health that may confound these associations. METHODS We investigated the causal association of ANM with these clinical outcomes using Mendelian randomization (MR). Participants and outcomes analysed were restricted to post-menopausal females. We conducted a one-sample MR analysis in both the Women's Health Initiative and UK Biobank. We further analysed and integrated several additional data sets of post-menopausal women using a two-sample MR design. We used ≤55 genetic variants previously discovered to be associated with ANM as our instrumental variable. RESULTS A 5-year increase in ANM was causally associated with a decreased risk of osteoporosis [odds ratio (OR) = 0.80, 95% CI (0.70-0.92)] and fractures (OR = 0.76, 95% CI, 0.62-0.94) as well as an increased risk of lung cancer (OR = 1.35, 95% CI, 1.06-1.71). Other associations including atherosclerosis-related outcomes were null. CONCLUSIONS Our study confirms that the decline in bone density with menopause causally translates into fractures and osteoporosis. Additionally, this is the first causal epidemiological analysis to our knowledge to find an increased risk of lung cancer with increasing ANM. This finding is consistent with molecular and epidemiological studies suggesting oestrogen-dependent growth of lung tumours.
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Affiliation(s)
- Joanna Lankester
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Jin Li
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Thermofisher Scientific, South San Francisco, CA, USA
| | - Elias Levy Itshak Salfati
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Marcia L Stefanick
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kei Hang Katie Chan
- Departments of Biomedical Sciences and Electrical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong
- Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA
| | - Simin Liu
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA
- Department of Medicine & Department of Surgery, Alpert School of Medicine, Brown University, Providence, RI, USA
| | - Carolyn J Crandall
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Shoa L Clarke
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
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48
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Liu C, Raab M, Gui Y, Rudd CE. Multi-functional adaptor SKAP1: regulator of integrin activation, the stop-signal, and the proliferation of T cells. Front Immunol 2023; 14:1192838. [PMID: 37325633 PMCID: PMC10264576 DOI: 10.3389/fimmu.2023.1192838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023] Open
Abstract
T-cell activation is a complex process involving a network of kinases and downstream molecular scaffolds or adaptors that integrate surface signals with effector functions. One key immune-specific adaptor is Src kinase-associated phosphoprotein 1 (SKAP1), which is also known as src kinase-associated protein of 55 kDa (SKAP55). This mini-review explains how SKAP1 plays multiple roles in regulating integrin activation, the "stop-signal", and the optimization of the cell cycling of proliferating T cells through interactions with various mediators, including the Polo-like kinase 1 (PLK1). Ongoing research on SKAP1 and its binding partners will likely provide important insights into the regulation of immune function and have implications for the development of new treatments for disease states such as cancer and autoimmunity.
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Affiliation(s)
- Chen Liu
- Faculté de Medicine, Université de Montréal, Montréal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada
- Division of Immunology-Oncology, Centre de Recherche de l’Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada
| | - Monika Raab
- Department of Obstetrics and Gynaecology, School of Medicine, J.W. Goethe-University, Frankfurt, Germany
| | - Yirui Gui
- Faculté de Medicine, Université de Montréal, Montréal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada
- Division of Immunology-Oncology, Centre de Recherche de l’Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada
| | - Christopher E. Rudd
- Faculté de Medicine, Université de Montréal, Montréal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada
- Division of Immunology-Oncology, Centre de Recherche de l’Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada
- Division of Experimental Medicine, McGill University, Montreal, QC, Canada
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49
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Wang X, Kho PF, Ramachandran D, Bafligil C, Amant F, Goode EL, Scott RJ, Tomlinson I, Evans DG, Crosbie EJ, Dörk T, Spurdle AB, Glubb DM, O'Mara TA. Multi-trait genome-wide association study identifies a novel endometrial cancer risk locus that associates with testosterone levels. iScience 2023; 26:106590. [PMID: 37168552 PMCID: PMC10165198 DOI: 10.1016/j.isci.2023.106590] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 02/02/2023] [Accepted: 03/31/2023] [Indexed: 05/13/2023] Open
Abstract
To detect novel endometrial cancer risk variants, we leveraged information from endometrial cancer risk factors in a multi-trait GWAS analysis. We first assessed causal relationships between established and suspected endometrial cancer risk factors, and endometrial cancer using Mendelian randomization. Following multivariable analysis, five independent risk factors (waist circumference, testosterone levels, sex hormone binding globulin levels, age at menarche, and age at natural menopause) were included in a multi-trait Bayesian GWAS analysis. We identified three potentially novel loci that associate with endometrial cancer risk, one of which (7q22.1) replicated in an independent endometrial cancer GWAS dataset and was genome-wide significant in a meta-analysis. This locus may affect endometrial cancer risk through altered testosterone levels. Consistent with this, we observed colocalization between the signals for endometrial cancer risk and expression of CYP3A7, a gene involved in testosterone metabolism. Thus, our findings suggest opportunities for hormone therapy to prevent or treat endometrial cancer.
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Affiliation(s)
- Xuemin Wang
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Pik Fang Kho
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | | | - Cemsel Bafligil
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary’s Hospital, Manchester M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Frederic Amant
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University Hospitals KU Leuven, University of Leuven, 3000 Leuven, Belgium
| | - Ellen L. Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Rodney J. Scott
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Newcastle, NSW 2305, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, NSW 2305, Australia
| | - Ian Tomlinson
- Cancer Genetics and Evolution Laboratory, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics & Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh EH4 2XR, UK
| | - D. Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Emma J. Crosbie
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary’s Hospital, Manchester M13 9WL, UK
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, 30625 Hannover, Germany
| | - Amanda B. Spurdle
- Population Health Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Dylan M. Glubb
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Tracy A. O'Mara
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4000, Australia
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50
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Cornish N, Haycock P, Brenner H, Figueiredo JC, Galesloot T, Grant RC, Johansson M, Mariosa D, McKay J, Pai R, Pellatt AJ, Samadder NJ, Shi J, Thibord F, Trégouët DA, Voegele C, Thirlwell C, Mumford A, Langdon R. Causal relationships between risk of venous thromboembolism and 18 cancers: a bidirectional Mendelian randomisation analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.16.23289792. [PMID: 37292802 PMCID: PMC10246038 DOI: 10.1101/2023.05.16.23289792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background People with cancer experience high rates of venous thromboembolism (VTE). Additionally, risk of subsequent cancer is increased in people experiencing their first VTE. The causal mechanisms underlying this association are not completely understood, and it is unknown whether VTE is itself a risk factor for cancer. Methods We used data from large genome-wide association study meta-analyses to perform bi-directional Mendelian randomisation analyses to estimate causal associations between genetically-proxied lifetime risk of VTE and risk of 18 different cancers. Results We found no conclusive evidence that genetically-proxied lifetime risk of VTE was causally associated with an increased incidence of cancer, or vice-versa. We observed an association between VTE and pancreatic cancer risk (odds ratio for pancreatic cancer 1.23 (95% confidence interval 1.08 - 1.40) per log-odds increase in risk of VTE, P = 0.002). However, sensitivity analyses revealed this association was predominantly driven by a variant proxying non-O blood group, with inadequate evidence from Mendelian randomisation to suggest a causal relationship. Conclusions These findings do not support the hypothesis that genetically-proxied lifetime risk of VTE is a cause of cancer. Existing observational epidemiological associations between VTE and cancer are therefore more likely to be driven by pathophysiological changes which occur in the setting of active cancer and anti-cancer treatments. Further work is required to explore and synthesise evidence for these mechanisms.
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Affiliation(s)
- Naomi Cornish
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Philip Haycock
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles CA
| | - Tessel Galesloot
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robert C Grant
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | | | | | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Daniela Mariosa
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rish Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Arizona, Scottsdale, USA
| | - Andrew J Pellatt
- Division of Cancer Medicine, MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Florian Thibord
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, USA
| | | | - Catherine Voegele
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Andrew Mumford
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
| | - Ryan Langdon
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
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