TY - JOUR
T1 - Prognostic correlations with the microbiome of breast cancer subtypes
AU - Banerjee, Sagarika
AU - Wei, Zhi
AU - Tian, Tian
AU - Bose, Dipayan
AU - Shih, Natalie N.C.
AU - Feldman, Michael D.
AU - Khoury, Thaer
AU - De Michele, Angela
AU - Robertson, Erle S.
N1 - Funding Information:
The study was supported by Avon Foundation Grant no. Avon-02-2012-053 (to ESR), and from the Abramson Cancer Center Director’s fund. Support was also obtained from the Penn Innovational StartUp company ExcaliViR Inc. to ESR, and a subcontract from BioRad Laboratories Inc.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
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U2 - 10.1038/s41419-021-04092-x
DO - 10.1038/s41419-021-04092-x
M3 - Article
C2 - 34482363
AN - SCOPUS:85114635404
SN - 2041-4889
VL - 12
JO - Cell Death and Disease
JF - Cell Death and Disease
IS - 9
M1 - 831
ER -