{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T15:34:07Z","timestamp":1790091247348,"version":"4.0.1"},"reference-count":74,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cell. Infect. Microbiol."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Endometrial cancer is the most common gynecological malignancy in high-income countries and lacks an established strategy for early detection. Prior studies suggest that the vaginal microbiome may hold diagnostic potential, but inconsistent findings have limited clinical translation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a systematic review to collect and analyze vaginal 16S rRNA sequencing data from five independent cohorts (n = 265). These studies included women with histologically confirmed endometrial cancer and controls with benign gynecologic conditions. We used these datasets to identify microbial signatures associated with endometrial cancer and to develop a predictive machine learning model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Microbial diversity was significantly higher in endometrial cancer samples, and host characteristics influenced community composition.\n                      <jats:italic>Peptoniphilus<\/jats:italic>\n                      was reproducibly enriched in cancer samples across cohorts. An ensemble classifier accurately identified endometrial cancer in a held-out test set, achieving an area under the receiver operating characteristic curve of 0.93 (95% CI: 0.71\u20130.93), sensitivity of 1.0 (95% CI: 0.74\u20131.0), and a negative predictive value of 1.0 (95% CI: 0.59\u20131.0).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>These findings support the potential of vaginal microbiome profiling as a minimally invasive approach for early detection of endometrial cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fcimb.2025.1641413","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T06:29:14Z","timestamp":1765175354000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection"],"prefix":"10.3389","volume":"15","author":[{"given":"Dollina","family":"Dodani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aline","family":"Talhouk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,12,8]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1016\/j.cell.2024.12.017","article-title":"Integration of 168,000 samples reveals global patterns of the human gut microbiome","volume":"188","author":"Abdill","year":"2025","journal-title":"Cell"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2407-9-403","article-title":"Investigation into the controversial association of Streptococcus gallolyticus with colorectal cancer and adenoma","volume":"9","author":"Abdulamir","year":"2009","journal-title":"BMC Cancer"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1186\/1476-4598-9-249","article-title":"Molecular detection, quantification, and isolation of Streptococcus gallolyticus bacteria colonizing colorectal tumors: inflammation-driven potential of carcinogenesis via IL-1, COX-2, and IL-8","volume":"9","author":"Abdulamir","year":"2010","journal-title":"Mol. 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