{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nash R"],"funding":["California Cancer Research Program","NCI","NHLBI NIH HHS","National Heart, Lung, and Blood Institute","Cancer Center Core grant","WHI","NCI NIH HHS","NIH","NIH NCI"],"pagination":["1610-1620"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9711941"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["31(8)"],"pubmed_abstract":["<h4>Background</h4>Menstrual cycle characteristics-including age at menarche and cycle length- have been associated with ovarian cancer risk in White women. However, the associations between menstrual cycle characteristics and ovarian cancer risk among Black women have been sparsely studied.<h4>Methods</h4>Using the Ovarian Cancer in Women of African Ancestry (OCWAA) Consortium that includes 1,024 Black and 2,910 White women diagnosed with epithelial ovarian cancer (EOC) and 2,325 Black and 7,549 White matched controls, we investigated associations between menstrual cycle characteristics (age at menarche, age at menstrual regularity, cycle length, and ever missing three periods) and EOC risk by race and menopausal status. Multivariable logistic regression was used to calculate odds ratios "],"journal":["Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology"],"pubmed_title":["Race Differences in the Associations between Menstrual Cycle Characteristics and Epithelial Ovarian Cancer."],"pmcid":["PMC9711941"],"funding_grant_id":["R01 CA207260","F31 CA268737","P30-CA014089","UM1 CA173642","P30 CA014089","K01 CA212056","HHSN268201600003C","R01 CA058598","HHSN268201600001C","P01 CA017054","K01-CA212056","R01-CA58598","R01 CA076016","U01 CA164973","U01 CA164974","F31CA268737","75N92021D00002","R01-CA142081","R01-CA61093","R01-CA058420","NHLBI-75N92021D00002","NHLBI-CSB-WH-2016-01-CM","UM1-CA173642-05","2II0200","R01-CA076016","UM1-CA164974","HHSN268201600002C","UM1 CA164974","R01-CA207260","U01-CA164974","R01 CA058420","R01-CA17054","HHSN268201600018C","HHSN268201600004C","R01 CA142081"],"pubmed_authors":["Schildkraut JM","Johnson CE","Ochs-Balcom HM","Joslin CE","Setiawan VW","Bethea TN","Bandera EV","Myers ER","Camacho F","Peres LC","Guertin KA","Beeghly-Fadiel A","Wu AH","Moorman PG","Rosenberg L","Harris HR","Nash R"],"additional_accession":[]},"is_claimable":false,"name":"Race Differences in the Associations between Menstrual Cycle Characteristics and Epithelial Ovarian Cancer.","description":"<h4>Background</h4>Menstrual cycle characteristics-including age at menarche and cycle length- have been associated with ovarian cancer risk in White women. However, the associations between menstrual cycle characteristics and ovarian cancer risk among Black women have been sparsely studied.<h4>Methods</h4>Using the Ovarian Cancer in Women of African Ancestry (OCWAA) Consortium that includes 1,024 Black and 2,910 White women diagnosed with epithelial ovarian cancer (EOC) and 2,325 Black and 7,549 White matched controls, we investigated associations between menstrual cycle characteristics (age at menarche, age at menstrual regularity, cycle length, and ever missing three periods) and EOC risk by race and menopausal status. Multivariable logistic regression was used to calculate odds ratios ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-05T11:28:03.328Z","creation":"2025-04-05T11:28:03.328Z"},"accession":"S-EPMC9711941","cross_references":{"pubmed":["35654411"],"doi":["10.1158/1055-9965.EPI-22-0115","10.1158/1055-9965.epi-22-0115"]}}