Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/48941
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dc.contributor.authorMalczewski, Agnieszka Beataen
dc.contributor.authorNavarro, Severineen
dc.contributor.authorCoward, Jermaine I Gen
dc.contributor.authorKetheesan, Natkunamen
dc.date.accessioned2022-03-11T01:01:26Z-
dc.date.available2022-03-11T01:01:26Z-
dc.date.issued2020-11-
dc.identifier.citationJournal for Immunotherapy of Cancer, 8(2), p. 1-3en
dc.identifier.issn2051-1426en
dc.identifier.urihttps://hdl.handle.net/1959.11/48941-
dc.description.abstract<p>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.</p>en
dc.languageenen
dc.publisherBMJ Groupen
dc.relation.ispartofJournal for Immunotherapy of Canceren
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleMicrobiome-derived metabolome as a potential predictor of response to cancer immunotherapyen
dc.typeJournal Articleen
dc.identifier.doi10.1136/jitc-2020-001383en
dc.identifier.pmid33127655en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameAgnieszka Beataen
local.contributor.firstnameSeverineen
local.contributor.firstnameJermaine I Gen
local.contributor.firstnameNatkunamen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailnkethees@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumbere001383en
local.format.startpage1en
local.format.endpage3en
local.identifier.scopusid85094983671en
local.peerreviewedYesen
local.identifier.volume8en
local.identifier.issue2en
local.access.fulltextYesen
local.contributor.lastnameMalczewskien
local.contributor.lastnameNavarroen
local.contributor.lastnameCowarden
local.contributor.lastnameKetheesanen
dc.identifier.staffune-id:nketheesen
local.profile.orcid0000-0002-4870-706Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/48941en
local.date.onlineversion2020-10-30-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleMicrobiome-derived metabolome as a potential predictor of response to cancer immunotherapyen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMalczewski, Agnieszka Beataen
local.search.authorNavarro, Severineen
local.search.authorCoward, Jermaine I Gen
local.search.authorKetheesan, Natkunamen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/5c110636-1729-4822-8a3b-73740d0b131fen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000589614000003en
local.year.available2020en
local.year.published2020en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/5c110636-1729-4822-8a3b-73740d0b131fen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/5c110636-1729-4822-8a3b-73740d0b131fen
local.subject.for2020320211 Infectious diseasesen
local.subject.for2020320701 Medical bacteriologyen
local.subject.seo2020200104 Prevention of human diseases and conditionsen
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School of Science and Technology
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