Prognostic correlations with the microbiome of breast cancer subtypes

Sagarika Banerjee, Zhi Wei, Tian Tian, Dipayan Bose, Natalie N.C. Shih, Michael D. Feldman, Thaer Khoury, Angela De Michele, Erle S. Robertson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Alterations to the natural microbiome are linked to different diseases, and the presence or absence of specific microbes is directly related to disease outcomes. We performed a comprehensive analysis with unique cohorts of the four subtypes of breast cancer (BC) characterized by their microbial signatures, using a pan-pathogen microarray strategy. The signature (includes viruses, bacteria, fungi, and parasites) of each tumor subtype was correlated with clinical data to identify microbes with prognostic potential. The subtypes of BC had specific viromes and microbiomes, with ER+ and TN tumors showing the most and least diverse microbiome, respectively. The specific microbial signatures allowed discrimination between different BC subtypes. Furthermore, we demonstrated correlations between the presence and absence of specific microbes in BC subtypes with the clinical outcomes. This study provides a comprehensive map of the oncobiome of BC subtypes, with insights into disease prognosis that can be critical for precision therapeutic intervention strategies.

Original languageEnglish (US)
Article number831
JournalCell Death and Disease
Volume12
Issue number9
DOIs
StatePublished - Sep 2021

All Science Journal Classification (ASJC) codes

  • Immunology
  • Cellular and Molecular Neuroscience
  • Cell Biology
  • Cancer Research

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