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Although pathogenic microorganisms have been demonstrated to participate in the pathogenesis of multiple types of tumors, their potential roles in the development of ovarian cancer remain unclear. To gain an insight into the microbiome\u2010associated pathogenesis of ovarian cancer and identify potential diagnostic biomarkers, we applied different techniques to analyse the microbiome and serum metabolome of different resources. We found that the vaginal microbiota in ovarian cancer mouse models was under dysbiosis, with altered metabolite configurations that may result from amino acid or lysophospholipid metabolic processes. Local therapeutic intervention with a broad spectrum of antibiotics was effective in reversing microbiota dysbiosis and suppressing carcinogenic progression. As the ovary is situated deeply in the pelvis, it is difficult to directly monitor the ovarian microbial community. Our findings provide alternative options for utilizing the vaginal bacteria as noninvasive biomarkers, such as <jats:italic>Burkholderia<\/jats:italic> (area under the curve\u2009=\u20090.8843, 95% confidence interval: 0.743\u20131.000), which supplement the current invasive diagnostic methods for monitoring ovarian cancer progression and contribute to the development of advanced microbe\u2010based diagnosis and adjuvant therapies.<\/jats:p>","DOI":"10.1002\/jmv.28898","type":"journal-article","created":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T10:20:24Z","timestamp":1688638824000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Association between vaginal microbiota and the progression of ovarian cancer"],"prefix":"10.1002","volume":"95","author":[{"given":"Chanyuan","family":"Li","sequence":"first","affiliation":[{"name":"Sun Yat\u2010Sen University Cancer Center State Key Laboratory of Oncology in 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