ArticlePloS one2020
Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 51 citations in OpenAlex.
- A Dive into the Invisible: The Vaginal and Endometrial Microbiota in Gynecologic and Obstetric Disorders: A Narrative Review.Life (Basel, Switzerland) · 2026Review
- Distinguishing the significance of blood microbes in epithelial ovarian cancer.Gut microbes reports · 2026Article
- The Role of Microbiota in Ovarian Cancer: Implications for Treatment Response and Therapeutic Strategies.Cells · 2025Review
- MicroAIbiome: Decoding Cancer Types from Microbial Profiles Using Explainable Machine Learning.Microorganisms · 2025Article
- A Natural Language Processing Method Identifies an Association Between Bacterial Communities in the Upper Genital Tract and Ovarian Cancer.International journal of molecular sciences · 2025Article
- Recent advancements in artificial intelligence-powered cancer prediction from oral microbiome.Periodontology 2000 · 2025Review
- The Urogenital System Microbiota: Is It a New Gamechanger in Urogenital Cancers?Microorganisms · 2025Review
- Translational Implications of The Gut Microbiome in Women with A Benign or Malignant Pelvic Mass.Annals of obstetrics and gynecology · 2025Article
- A review of machine learning methods for cancer characterization from microbiome data.NPJ precision oncology · 2024Review
- Metastasis and the Microbiome: The Impact of Bacteria in Disseminated Colorectal Cancer.Frontiers in bioscience (Landmark edition) · 2024Review
- Ovarian Cancer and the Microbiome: Connecting the Dots for Early Diagnosis and Therapeutic Innovations-A Review.Medicina (Kaunas, Lithuania) · 2024Review
- Review
- The Role of the Human Microbiome in Epithelial Ovarian Cancer.Advances in experimental medicine and biology · 2024Review
- Microbial harmony in female reproductive health: exploring the impact of intestinal flora on ovarian function and disease pathogenesis.American journal of translational research · 2024Review
- The ovarian cancer-associated microbiome contributes to the tumor's inflammatory microenvironment.Frontiers in cellular and infection microbiology · 2024Review
- Predicting the Recurrence of Ovarian Cancer Based on Machine Learning.Cancer management and research · 2024Article
- Microbiota as the unifying factor behind the hallmarks of cancer.Journal of cancer research and clinical oncology · 2023Review
- Evaluation of sterol‑o‑acyl transferase 1 and cholesterol ester levels in plasma, peritoneal fluid and tumor tissue of patients with endometrial cancer: A pilot study.Oncology letters · 2023Article
- The Influence of the Microbiome on Metastatic Colorectal Cancer.Clinics in colon and rectal surgery · 2023Review
- Association between oral microbiome and seven types of cancers in East Asian population: a two-sample Mendelian randomization analysis.Frontiers in molecular biosciences · 2023Article
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial ovarian cancer (OC) is the most deadly cancer of the female reproductive system. To date, there is no effective screening method for early detection of OC and current diagnostic armamentarium may include sonographic grading of the tumor and analyzing serum levels of tumor markers, Cancer Antigen 125 (CA-125) and Human epididymis protein 4 (HE4). Microorganisms (bacterial, archaeal, and fungal cells) residing in mucosal tissues including the gastrointestinal and urogenital tracts can be altered by different disease states, and these shifts in microbial dynamics may help to diagnose disease states. We hypothesized that the peritoneal microbial environment was altered in patients with OC and that inclusion of selected peritoneal microbial features with current clinical features into prediction analyses will improve detection accuracy of patients with OC. Blood and peritoneal fluid were collected from consented patients that had sonography confirmed adnexal masses and were being seen at SIU School of Medicine Simmons Cancer Institute. Blood was processed and serum HE4 and CA-125 were measured. Peritoneal fluid was collected at the time of surgery and processed for Next Generation Sequencing (NGS) using 16S V4 exon bacterial primers and bioinformatics analyses. We found that patients with OC had a unique peritoneal microbial profile compared to patients with a benign mass. Using ensemble modeling and machine learning pathways, we identified 18 microbial features that were highly specific to OC pathology. Prediction analyses confirmed that inclusion of microbial features with serum tumor marker levels and control features (patient age and BMI) improved diagnostic accuracy compared to currently used models. We conclude that OC pathogenesis alters the peritoneal microbial environment and that these unique microbial features are important for accurate diagnosis of OC. Our study warrants further analyses of the importance of microbial features in regards to oncological diagnostics and possible prognostic and interventional medicine.
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