Microbiome-derived metabolome as a potential predictor of response to cancer immunotherapy

Title
Microbiome-derived metabolome as a potential predictor of response to cancer immunotherapy
Publication Date
2020-11
Author(s)
Malczewski, Agnieszka Beata
Navarro, Severine
Coward, Jermaine I G
Ketheesan, Natkunam
( author )
OrcID: https://orcid.org/0000-0002-4870-706X
Email: nkethees@une.edu.au
UNE Id une-id:nkethees
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
BMJ Group
Place of publication
United Kingdom
DOI
10.1136/jitc-2020-001383
UNE publication id
une:1959.11/48941
Abstract

Cancer immunotherapy with checkpoint blockade has become standard of care treatment for numerous cancer types. Despite this, robust predictive biomarkers are lacking. There is increasing evidence that the host microbiome is a predictor of immunotherapy response, although the optimal host microbiome has not been defined. Metabolomics is a new area of medicine that aims to analyze the metabolic profile of a biological system. The microbiome-derived metabolome (fecal and serum) represents the end products of microbial metabolism and these may be functionally more important than the distinct bacterial species that comprise a favorable microbiome. Short-chain fatty acids (SCFA) are metabolites produced by gut microbiota and have a role in T cell homeostasis, including differentiation of regulatory T cells. Recent studies have confirmed differential expression of SCFA for immunotherapy responders compared with non-responders. We propose that the microbiome metabolome, with a focus on SCFA may be a novel predictive biomarker for immunotherapy efficacy.

Link
Citation
Journal for Immunotherapy of Cancer, 8(2), p. 1-3
ISSN
2051-1426
Pubmed ID
33127655
Start page
1
End page
3
Rights
Attribution-NonCommercial 4.0 International

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