ArticleResearch square2025
Vaginal Microbiome Composition, Diversity and Dysbiosis: The ORCHiD Study.
Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
16 authors.
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Abstract
Background: Vaginal dysbiosis may contribute to ovarian cancer (OC) outcomes, but comprehensive microbiome characterization remains limited. Here, we characterize the prevalence and predictors of vaginal microbiome dysbiosis among diverse OC patients in the US. Methods: We performed 16S rRNA gene sequencing on vaginal samples from 132 OC patients recruited as part of the population-based ORCHiD study. We applied topic modeling using Latent Dirichlet Allocation (LDA), a computational approach for identifying latent microbial community patterns, to identify distinct microbial signatures representing co-occurring bacterial taxa. Results: Widespread dysbiosis was observed with Conclusions: This study revealed widespread vaginal microbiome dysbiosis among OC patients with clinically significant age and racial patterns that may contribute to outcome disparities.
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