Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/48941
Title: Microbiome-derived metabolome as a potential predictor of response to cancer immunotherapy
Contributor(s): Malczewski, Agnieszka Beata (author); Navarro, Severine (author); Coward, Jermaine I G (author); Ketheesan, Natkunam  (author)orcid 
Publication Date: 2020-11
Early Online Version: 2020-10-30
Open Access: Yes
DOI: 10.1136/jitc-2020-001383
Handle Link: https://hdl.handle.net/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.

Publication Type: Journal Article
Source of Publication: Journal for Immunotherapy of Cancer, 8(2), p. 1-3
Publisher: BMJ Group
Place of Publication: United Kingdom
ISSN: 2051-1426
Fields of Research (FoR) 2020: 320211 Infectious diseases
320701 Medical bacteriology
Socio-Economic Objective (SEO) 2020: 200104 Prevention of human diseases and conditions
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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