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The Interaction between Intratumoral Microbiome and Immunity Is Related to the Prognosis of Ovarian Cancer Original paper

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

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November 20, 2025

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

    Read More

Last Updated: 2023-01-01

Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.

Divine Aleru

I am a biochemist with a deep curiosity for the human microbiome and how it shapes human health, and I enjoy making microbiome science more accessible through research and writing. With 2 years experience in microbiome research, I have curated microbiome studies, analyzed microbial signatures, and now focus on interventions as a Microbiome Signatures and Interventions Research Coordinator.

Location
China
Sample Site
Ovary
Species
Homo sapiens

What was studied?

This research article examined how the intratumoral microbiome and immunity interact in ovarian cancer, establishing that this interaction is tied to prognosis. The study used RNA-sequencing data from TCGA to identify microbial signatures within tumors and assess their relationship to immune infiltration, clinical outcomes, and tumor microenvironment characteristics. By integrating microbial abundance with host immune gene expression, the authors created a microbiome-based prognostic model and conducted experimental validation focusing on Acinetobacter seifertii.

Who was studied?

The researchers analyzed 373 ovarian cancer patients from The Cancer Genome Atlas (TCGA). These individuals had available RNA-seq data, immune infiltration metrics, tumor microenvironment signatures, and survival outcomes. No specific demographic or clinical enrichment distinguished the immune-enriched versus immune-deficient groups, making the cohort broadly representative of advanced-stage ovarian cancer populations.

Most important findings

The study revealed two tumor microenvironment (TME) subtypes: immune-enriched and immune-deficient. Immune-enriched tumors contained more CD8⁺ T cells, M1 macrophages, higher stromal/immune scores, greater tumor mutational burden, and improved survival. Microbiome profiling uncovered significant microbial differences between these subtypes, with Proteobacteria, especially Pseudomonas species, dominant across samples. Beta-diversity clearly separated the groups (PCoA). A Cox model identified 32 prognostic microbial species whose presence predicted overall survival. Risk-associated species included Pseudomonas sp., Klebsiella michiganensis, Buchnera aphidicola, Veillonella nakazawae, and Corynebacterium jeikeium. The strongest protective species was Gemmatirosa kalamazoonesis. Five species correlated with M1 macrophages, notably Achromobacter deleyi and Microcella alkaliphila (positive), and Devosia sp. LEGU1, Ancylobacter pratisalsi, and Acinetobacter seifertii (negative).

Laboratory experiments validated that Acinetobacter seifertii inhibits macrophage migration, likely explaining its negative association with M1 abundance.

Key implications

This study demonstrates that intratumoral microbiota meaningfully shape ovarian cancer immunity and outcomes, establishing microbial signatures as promising prognostic biomarkers. The clear link between specific bacteria and immune cell infiltration, especially M1 macrophages, suggests microbial modulation as a potential therapeutic avenue. Distinct microbial metabolic pathways enriched in poor-prognosis tumors (e.g., PI3K-Akt signaling, taurine metabolism) provide additional mechanistic clues. Integrating microbiome data into clinical risk assessment could enhance patient stratification, refine immunotherapy responses, and guide the development of microbiome-targeted interventions.

Citation

Sheng D, Yue K, Li H, Zhao L, Zhao G, Jin C, Zhang L. The interaction between the intratumoral microbiome and immunity is related to the prognosis of ovarian cancer. Microbiology Spectrum. 2023;11(2):e03549-22. doi:10.1128/spectrum.03549-22

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