Demography-dependent variability in the human tumor mycobiome

This study analyzes the demographic-dependent variability of the intratumor mycobiome, providing a novel understanding of fungal abundance across different cancer types and patient demographics. By analyzing over 5,000 tumor samples from The Cancer Genome Atlas, the research identified 24 fungal species with significant abundance variations linked to demographic factors such as race, age, sex, and body mass index. These findings underscore the complexity of the tumor microenvironment and the importance of accounting for demographic diversity in cancer research. The study emphasizes the necessity of using robust data normalization and batch correction techniques to avoid spurious associations in order to ensure the reliability of mycobiome analysis. This work highlights the mycobiome as a new frontier in precision oncology and paves the way for future personalized cancer diagnostics and treatments that account for the influence of demographic factors on tumor biology.

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Publication Details

Journal
Microbiology Spectrum
Published
2026-03-26
DOI
https://doi.org/10.1128/spectrum.02310-25
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00
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article

Demography-dependent variability in the human tumor mycobiome

Ben Boursi, R Ben-Ami, Thomy Margalit, Ron Shamir et al.
Microbiology Spectrum
Cancer Cells and Metastasis
article

Demography-dependent variability in the human tumor mycobiome

Ben Boursi, R Ben-Ami, Thomy Margalit, Ron Shamir, Dan Coster
article en

Abstract

This study analyzes the demographic-dependent variability of the intratumor mycobiome, providing a novel understanding of fungal abundance across different cancer types and patient demographics. By analyzing over 5,000 tumor samples from The Cancer Genome Atlas, the research identified 24 fungal species with significant abundance variations linked to demographic factors such as race, age, sex, and body mass index. These findings underscore the complexity of the tumor microenvironment and the importance of accounting for demographic diversity in cancer research. The study emphasizes the necessity of using robust data normalization and batch correction techniques to avoid spurious associations in order to ensure the reliability of mycobiome analysis. This work highlights the mycobiome as a new frontier in precision oncology and paves the way for future personalized cancer diagnostics and treatments that account for the influence of demographic factors on tumor biology.

Microbiology Spectrum
Tel Aviv University (IL), Tel Aviv Sourasky Medical Center (IL), Sheba Medical Center (IL), University of Pennsylvania (US)
Openalex Percentile: Top 8%
Cancer Cells and Metastasis
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