Prognostic correlations with the microbiome of breast cancer subtypes
Document Type
Article
Publication Date
9-1-2021
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.
Identifier
85114635404 (Scopus)
Publication Title
Cell Death and Disease
External Full Text Location
https://doi.org/10.1038/s41419-021-04092-x
e-ISSN
20414889
PubMed ID
34482363
Issue
9
Volume
12
Grant
Avon-02-2012-053
Fund Ref
Avon Foundation for Women
Recommended Citation
Banerjee, Sagarika; Wei, Zhi; Tian, Tian; Bose, Dipayan; Shih, Natalie N.C.; Feldman, Michael D.; Khoury, Thaer; De Michele, Angela; and Robertson, Erle S., "Prognostic correlations with the microbiome of breast cancer subtypes" (2021). Faculty Publications. 3856.
https://digitalcommons.njit.edu/fac_pubs/3856
