Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jun;5(1-2):14-34.
doi: 10.1002/aac2.12071. Epub 2024 Jun 20.

The Gut Microbiome in Aging and Ovarian Cancer

Affiliations

The Gut Microbiome in Aging and Ovarian Cancer

Gena M Dominique et al. Aging Cancer. 2024 Jun.

Abstract

The gut microbiome changes with age and affects regions beyond the gut, including the ovarian cancer tumor microenvironment. In this review summarizing the literature on the gut microbiome in ovarian cancer and in aging, we note trends in the microbiota composition common to both phenomena and trends that are distinctly opposite. Both ovarian cancer and aging are characterized by an increase in proinflammatory bacterial species, particularly those belonging to phylum Proteobacteria and genus Escherichia, and a decrease in short chain fatty acid producers, particularly those in Clostridium cluster XIVa (family Lachnospiraceae) and the Actinobacteria genus Bifidobacterium. However, while beneficial bacteria from family Porphyromonadaceae and genus Akkermansia tend to increase with normal, healthy aging, these bacteria tend to decrease in ovarian cancer, similar to what is observed in obesity or unhealthy aging. We also note a lack in the current literature of research demonstrating causal relationships between the gut microbiome and ovarian cancer outcomes and research on the gut microbiome in ovarian cancer in the context of aging, both of which could lead to improvements to ovarian cancer diagnosis and treatment.

Keywords: Ovarian cancer; aging; gut microbiome.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

Figure 1.
Figure 1.
The alpha diversity of the gut microbiome can vary in richness, evenness, and phylogenetic diversity. (a) The low richness upper sample contains only one species while the high richness lower sample contains many species. (b) The less even upper sample contains more light blue bacilli than any other species while the more even lower sample contains roughly equal numbers of each species. (c) The low phylogenetic diversity upper sample contains many phylogenetically related blue bacilli while the high phylogenetic diversity lower panel contains species from many branches of the phylogenetic tree.
Figure 2.
Figure 2.
Venn diagram of taxa affected by ovarian cancer. Arrows indicate the direction of change for grouped taxa or features in the indicated situation. Taxa in brackets are neither increased nor decreased but are added to clarify the classification of lower taxa.
Figure 3.
Figure 3.
Venn diagram of taxa affected by aging and ovarian cancer. Arrows indicate the direction of change for grouped taxa or features in the indicated situation. Taxa in brackets are neither increased nor decreased but are added to clarify the classification of lower taxa.

References

    1. Park EM, Chelvanambi M, Bhutiani N, Kroemer G, Zitvogel L, Wargo JA. Targeting the gut and tumor microbiota in cancer. Nat Med. 2022;28(4):690–703. doi: 10.1038/s41591-022-01779-2 - DOI - PubMed
    1. Gopalakrishnan V, Helmink BA, Spencer CN, Reuben A, Wargo JA. The Influence of the Gut Microbiome on Cancer, Immunity, and Cancer Immunotherapy. Cancer Cell. 2018;33(4):570–580. doi: 10.1016/j.ccell.2018.03.015 - DOI - PMC - PubMed
    1. Berg G, Rybakova D, Fischer D, et al. Microbiome definition re-visited: old concepts and new challenges. Microbiome. 2020;8(1):103. doi: 10.1186/s40168-020-00875-0 - DOI - PMC - PubMed
    1. Lengyel E. Ovarian Cancer Development and Metastasis. Am J Pathol. 2010;177(3):1053–1064. doi: 10.2353/ajpath.2010.100105 - DOI - PMC - PubMed
    1. Klymenko Y, Kim O, Loughran E, et al. Cadherin composition and multicellular aggregate invasion in organotypic models of epithelial ovarian cancer intraperitoneal metastasis. Oncogene. 2017;36(42):5840–5851. doi: 10.1038/onc.2017.171 - DOI - PMC - PubMed

LinkOut - more resources