{"title":"妇科癌症与女性不孕症的关系:双向孟德尔随机化分析的见解。","authors":"Jifeng Li, Yifei Zeng, Dongxiao Zhang","doi":"10.1186/s12905-025-03729-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>In recent years, research interest in the potential link between female infertility (FI) and gynecological cancer (GC), including ovarian cancer (OC), endometrial cancer (EC), cervical cancer (CC), and breast cancer (BC), has grown, yet findings remain inconclusive. This study aims to explore the causal relationship between FI and GC using bidirectional two-sample Mendelian randomization (MR) analyses, thereby informing future strategies for FI and GC prevention.</p><p><strong>Methods: </strong>We utilized SNPs identified from genome-wide association studies (GWAS) on FI and GC. The inverse variance weighted (IVW) method served as the primary approach to assess the causal association between FI and GC. Additionally, five other MR methods-Weighted median, Weighted mode, MR-Egger, Simple mode, and Robust-Adjusted Profile Score-were employed to enhance result robustness and credibility.</p><p><strong>Results: </strong>In the forward MR analysis, our IVW results indicated no significant association between FI and GC (FI-BC: OR = 0.95, 95% CI: 0.83-1.09, P = 0.47, P-FDR = 0.775; FI-OC: OR = 1.01, 95% CI: 0.84-1.24, P = 0.789, P-FDR = 0.896; FI-CC: OR = 0.80, 95% CI: 0.61-1.06, P = 0.118, P-FDR = 0.775; FI-EC: OR = 1.07, 95% CI: 0.88-1.30, P = 0.490, P-FDR = 0.775).In the reverse MR analysis, we found a marginal association between BC and FI. However, after adjusting for multiple testing using the FDR method, no significant causal relationship was found between BC and FI, suggesting a marginal association (OR = 1.054, 95% CI: 1.001-1.108, P = 0.043, P-FDR = 0.331). For other cancers, no significant causal relationships were observed between OC, CC and EC with FI(OC-FI: OR = 1.043, 95% CI: 0.999-1.087, P = 0.051, P-FDR = 0.331;CC-FI: OR = 0.992, 95% CI: 0.956-1.028, P = 0.654, P-FDR = 0.836; EC-FI: OR = 1.006, 95% CI: 0.956-1.055, P = 0.809, P-FDR = 0.885).</p><p><strong>Conclusions: </strong>Our study found no significant causal relationship between FI and GC. However, a potential marginal association between BC and FI was observed. These findings underscore the need for further research to confirm this association and emphasize the importance of reproductive protection for young breast cancer patients to preserve fertility.</p>","PeriodicalId":9204,"journal":{"name":"BMC Women's Health","volume":"25 1","pages":"191"},"PeriodicalIF":2.4000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12007144/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association between gynecological cancers and female infertility: insights from bidirectional Mendelian randomization analysis.\",\"authors\":\"Jifeng Li, Yifei Zeng, Dongxiao Zhang\",\"doi\":\"10.1186/s12905-025-03729-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>In recent years, research interest in the potential link between female infertility (FI) and gynecological cancer (GC), including ovarian cancer (OC), endometrial cancer (EC), cervical cancer (CC), and breast cancer (BC), has grown, yet findings remain inconclusive. This study aims to explore the causal relationship between FI and GC using bidirectional two-sample Mendelian randomization (MR) analyses, thereby informing future strategies for FI and GC prevention.</p><p><strong>Methods: </strong>We utilized SNPs identified from genome-wide association studies (GWAS) on FI and GC. The inverse variance weighted (IVW) method served as the primary approach to assess the causal association between FI and GC. Additionally, five other MR methods-Weighted median, Weighted mode, MR-Egger, Simple mode, and Robust-Adjusted Profile Score-were employed to enhance result robustness and credibility.</p><p><strong>Results: </strong>In the forward MR analysis, our IVW results indicated no significant association between FI and GC (FI-BC: OR = 0.95, 95% CI: 0.83-1.09, P = 0.47, P-FDR = 0.775; FI-OC: OR = 1.01, 95% CI: 0.84-1.24, P = 0.789, P-FDR = 0.896; FI-CC: OR = 0.80, 95% CI: 0.61-1.06, P = 0.118, P-FDR = 0.775; FI-EC: OR = 1.07, 95% CI: 0.88-1.30, P = 0.490, P-FDR = 0.775).In the reverse MR analysis, we found a marginal association between BC and FI. However, after adjusting for multiple testing using the FDR method, no significant causal relationship was found between BC and FI, suggesting a marginal association (OR = 1.054, 95% CI: 1.001-1.108, P = 0.043, P-FDR = 0.331). For other cancers, no significant causal relationships were observed between OC, CC and EC with FI(OC-FI: OR = 1.043, 95% CI: 0.999-1.087, P = 0.051, P-FDR = 0.331;CC-FI: OR = 0.992, 95% CI: 0.956-1.028, P = 0.654, P-FDR = 0.836; EC-FI: OR = 1.006, 95% CI: 0.956-1.055, P = 0.809, P-FDR = 0.885).</p><p><strong>Conclusions: </strong>Our study found no significant causal relationship between FI and GC. However, a potential marginal association between BC and FI was observed. These findings underscore the need for further research to confirm this association and emphasize the importance of reproductive protection for young breast cancer patients to preserve fertility.</p>\",\"PeriodicalId\":9204,\"journal\":{\"name\":\"BMC Women's Health\",\"volume\":\"25 1\",\"pages\":\"191\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12007144/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Women's Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12905-025-03729-9\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Women's Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12905-025-03729-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:近年来,研究人员对女性不孕症(FI)与妇科癌症(GC),包括卵巢癌(OC)、子宫内膜癌(EC)、宫颈癌(CC)和乳腺癌(BC)之间的潜在联系越来越感兴趣,但研究结果尚无定论。本研究旨在通过双向双样本孟德尔随机化(MR)分析来探讨FI和GC之间的因果关系,从而为未来的FI和GC预防策略提供信息。方法:我们利用全基因组关联研究(GWAS)在FI和GC上鉴定的snp。反方差加权(IVW)方法是评估FI和GC之间因果关系的主要方法。此外,采用加权中位数、加权模式、MR- egger、简单模式和鲁棒调整后的轮廓评分五种其他MR方法来增强结果的鲁棒性和可信度。结果:在前向MR分析中,我们的IVW结果显示FI与GC之间无显著相关性(FI- bc: OR = 0.95, 95% CI: 0.83-1.09, P = 0.47, P- fdr = 0.775;FI-OC: = 1.01, 95%置信区间CI: 0.84 - -1.24, P = 0.789, P-FDR = 0.896;FI-CC: = 0.80, 95%置信区间CI: 0.61 - -1.06, P = 0.118, P-FDR = 0.775;FI-EC: = 1.07, 95%置信区间CI: 0.88 - -1.30, P = 0.490, P-FDR = 0.775)。在反向MR分析中,我们发现BC和FI之间存在边际关联。然而,在使用FDR方法调整多重检验后,BC和FI之间没有发现显著的因果关系,表明存在边际关联(OR = 1.054, 95% CI: 1.001-1.108, P = 0.043, P-FDR = 0.331)。对于其他癌症,未观察到OC、CC和EC与FI之间有显著的因果关系(OC-FI: OR = 1.043, 95% CI: 0.999-1.087, P = 0.051, P- fdr = 0.331;CC-FI: OR = 0.992, 95% CI: 0.956-1.028, P = 0.654, P- fdr = 0.836;EC-FI: = 1.006, 95%置信区间CI: 0.956 - -1.055, P = 0.809, P-FDR = 0.885)。结论:我们的研究发现FI和GC之间没有明显的因果关系。然而,观察到BC和FI之间存在潜在的边际关联。这些发现强调需要进一步的研究来证实这种关联,并强调对年轻乳腺癌患者进行生殖保护以保持生育能力的重要性。
Association between gynecological cancers and female infertility: insights from bidirectional Mendelian randomization analysis.
Purpose: In recent years, research interest in the potential link between female infertility (FI) and gynecological cancer (GC), including ovarian cancer (OC), endometrial cancer (EC), cervical cancer (CC), and breast cancer (BC), has grown, yet findings remain inconclusive. This study aims to explore the causal relationship between FI and GC using bidirectional two-sample Mendelian randomization (MR) analyses, thereby informing future strategies for FI and GC prevention.
Methods: We utilized SNPs identified from genome-wide association studies (GWAS) on FI and GC. The inverse variance weighted (IVW) method served as the primary approach to assess the causal association between FI and GC. Additionally, five other MR methods-Weighted median, Weighted mode, MR-Egger, Simple mode, and Robust-Adjusted Profile Score-were employed to enhance result robustness and credibility.
Results: In the forward MR analysis, our IVW results indicated no significant association between FI and GC (FI-BC: OR = 0.95, 95% CI: 0.83-1.09, P = 0.47, P-FDR = 0.775; FI-OC: OR = 1.01, 95% CI: 0.84-1.24, P = 0.789, P-FDR = 0.896; FI-CC: OR = 0.80, 95% CI: 0.61-1.06, P = 0.118, P-FDR = 0.775; FI-EC: OR = 1.07, 95% CI: 0.88-1.30, P = 0.490, P-FDR = 0.775).In the reverse MR analysis, we found a marginal association between BC and FI. However, after adjusting for multiple testing using the FDR method, no significant causal relationship was found between BC and FI, suggesting a marginal association (OR = 1.054, 95% CI: 1.001-1.108, P = 0.043, P-FDR = 0.331). For other cancers, no significant causal relationships were observed between OC, CC and EC with FI(OC-FI: OR = 1.043, 95% CI: 0.999-1.087, P = 0.051, P-FDR = 0.331;CC-FI: OR = 0.992, 95% CI: 0.956-1.028, P = 0.654, P-FDR = 0.836; EC-FI: OR = 1.006, 95% CI: 0.956-1.055, P = 0.809, P-FDR = 0.885).
Conclusions: Our study found no significant causal relationship between FI and GC. However, a potential marginal association between BC and FI was observed. These findings underscore the need for further research to confirm this association and emphasize the importance of reproductive protection for young breast cancer patients to preserve fertility.
期刊介绍:
BMC Women''s Health is an open access, peer-reviewed journal that considers articles on all aspects of the health and wellbeing of adolescent girls and women, with a particular focus on the physical, mental, and emotional health of women in developed and developing nations. The journal welcomes submissions on women''s public health issues, health behaviours, breast cancer, gynecological diseases, mental health and health promotion.