[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-331957-105":59,"doc-detail-331957-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","associations-between-gut-microbiota-and-gynecological-cancers-a-bi-directional-two-sample-mendelian-randomization-study","Associations between gut microbiota and gynecological cancers - A bi-directional two-sample Mendelian randomization study","","Growing evidence links gut microbiota with gynecologic cancers, but causality in these associations remains unclear. A two-sample Mendelian randomization (MR) study used public genome-wide association data of European ancestry to evaluate mechanisms connecting gut microbiota to ovarian cancer, endometrial cancer, and cervical cancer, including their subtypes. Instrumental SNPs linked to gut microbiota were analyzed using IVW, MR-Egger, weighted median, and sensitivity tests, followed by reverse MR to assess reverse causality. Among 196 taxa, 33 suggestive causal relationships were found: 11 genera increased and 19 decreased risk. Gut microbiota showed causal associations with OC, EC, and CC.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/associations-between-gut-microbiota-and-gynecological-cancers-a-bi-directional-two-sample-mendelian-randomization-study/331957/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/associations-between-gut-microbiota-and-gynecological-cancers-a-bi-directional-two-sample-mendelian-randomization-study/331957.png","ImageObject",300,407,{"name":92,"@type":93},"Lucas Martin","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-02","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",14,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What research question does the study address?","Question",{"text":113,"@type":114},"It tests whether the association between gut microbiota and gynecologic cancers is causal, rather than merely correlated.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How was causality assessed between gut microbiota and cancers?",{"text":118,"@type":114},"The study used two-sample Mendelian randomization with public GWAS summary statistics, selecting gut-microbiota-associated instrumental SNPs and applying multiple MR methods plus sensitivity analyses.",{"name":120,"@type":111,"acceptedAnswer":121},"What did the reverse Mendelian randomization analysis evaluate?",{"text":122,"@type":114},"It evaluated potential reverse causality, testing whether gynecologic cancers could alter gut microbiota composition.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},331957,1790106176,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":41,"preview_page_count":4},8796095360427,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","®  \n Observational Study   \nAssociations between gut microbiota and gynecological cancers  \nA bi-directional two-sample Mendelian randomization study  \nYouqian Kong, PhDa , Shaoxuan Liu, PhDa , Xiaoyu Wang, PhDa , Rui Qie, PhDb ,*  \n\n| Abstract\u003Cbr>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. |\n| --- |\n| Abbreviations: CC = cervical cancer, CI = confidence intervals, EC = endometrial cancer, ECEH = endometrial cancer endometrioid histology, GWAS = genome-wide association study, HGSOC = high grade serous ovarian cancer, IMOC = invasive mucinous ovarian cancer, IVs = instrumental variables, IVW = inverse variance weighted, LGSOC = low grade serous ovarian cancer, MOC = mucinous ovarian cancer, MR = Mendelian randomization, OC = ovarian cancer, OR = odds ratio, SNPs = single nucleotide polymorphisms, SOC = serous ovarian cancer. |\n| Keywords: causality, gut microbiota, gynecological cancer, Mendelian randomization, SNPs |\n\n1. Introduction  \nGynecological cancers, encompassing ovarian cancer (OC), cervical cancer (CC), and endometrial cancer (EC), etc present a formidable health crisis globally. According to GLOBOCAN 2020 cancer incidence and mortality estimates,[1] out of the approximately 19.3 million fresh cancer diagnoses and close to 10 million new cancer fatalities globally in 2020, these 3 cancer types account for nearly 7% of new cases and deaths.[1] OC ranks among the most prevalent cancers afflicting women worldwide and has the greatest mortality rate among all reproductive system cancers.[2] CC, despite being one of the most preventable cancers, consistently emerges as the second leading cause of cancer-related deaths in women aged 20 to 39 years.[3] Further,  \nYK and SL contributed equally to this work.  \nThe authors have no funding and conflicts of interest to disclose.  \nAll data generated or analyzed during this study are included in this published article [and its supplementary information files].  \nNo animals/humans were used for studies that are the basis of this research. Supplemental Digital Content is available for this article.  \na Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China, b Department of Internal Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.  \n* Correspondence: Rui Qie, Department of Internal Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin 150040, China ([e-mail: atyelusalen@163.c","cbCaisnY8QedWnJH","https://ap.wps.com/l/cbCaisnY8QedWnJH","pdf",2206383,12,"English","# Abstract\n# Introduction\n## Background and global burden of gynecological cancers\n## Gut microbiota as a dynamic entity\n# Methods\n## Two-sample Mendelian randomization framework\n## Instrumental SNP selection\n## MR analysis and sensitivity checks\n## Reverse MR for reverse causality\n# Results\n## Suggestive causal taxa and direction of effects\n## Causal associations with ovarian, endometrial, and cervical cancers\n# Conclusions\n## Implications for mechanistic and clinical research","[{\"question\":\"What research question does the study address?\",\"answer\":\"It tests whether the association between gut microbiota and gynecologic cancers is causal, rather than merely correlated.\"},{\"question\":\"How was causality assessed between gut microbiota and cancers?\",\"answer\":\"The study used two-sample Mendelian randomization with public GWAS summary statistics, selecting gut-microbiota-associated instrumental SNPs and applying multiple MR methods plus sensitivity analyses.\"},{\"question\":\"What did the reverse Mendelian randomization analysis evaluate?\",\"answer\":\"It evaluated potential reverse causality, testing whether gynecologic cancers could alter gut microbiota composition.\"}]","Associations between gut microbiota and gynecological cancers - A bi-directional two-sample Mendelian randomization study | PDF",1789995983]