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Meta-analysis of the gut microbiota in predicting response to cancer immunotherapy in metastatic melanoma.

Limeta, Angelo, 1996 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Ji, Boyang, 1983 (author)
Danmarks Tekniske Universitet,Technical University of Denmark,Chalmers tekniska högskola,Chalmers University of Technology
Levin, Max, 1969 (author)
Gothenburg University,Göteborgs universitet,Wallenberglaboratoriet,Institutionen för kliniska vetenskaper, Avdelningen för onkologi,Wallenberg Laboratory,Institute of Clinical Sciences, Department of Oncology,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital,University of Gothenburg
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Gatto, Francesco, 1987 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Nielsen, Jens B, 1962 (author)
Chalmers tekniska högskola,Chalmers University of Technology,BioInnovation Institute (BII),Danmarks Tekniske Universitet,Technical University of Denmark
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 (creator_code:org_t)
2020-12-03
2020
English.
In: JCI insight. - : American Society for Clinical Investigation. - 2379-3708. ; 5:23
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • BACKGROUNDIdentifying factors conferring responses to therapy in cancer is critical to select the best treatment for patients. For immune checkpoint inhibition (ICI) therapy, mounting evidence suggests that the gut microbiome can determine patient treatment outcomes. However, the extent to which gut microbial features are applicable across different patient cohorts has not been extensively explored.METHODSWe performed a meta-analysis of 4 published shotgun metagenomic studies (Ntot = 130 patients) investigating differential microbiome composition and imputed metabolic function between responders and nonresponders to ICI.RESULTSOur analysis identified both known microbial features enriched in responders, such as Faecalibacterium as the prevailing taxa, as well as additional features, including overrepresentation of Barnesiella intestinihominis and the components of vitamin B metabolism. A classifier designed to predict responders based on these features identified responders in an independent cohort of 27 patients with the area under the receiver operating characteristic curve of 0.625 (95% CI: 0.348-0.899) and was predictive of prognosis (HR = 0.35, P = 0.081).CONCLUSIONThese results suggest the existence of a fecal microbiome signature inherent across responders that may be exploited for diagnostic or therapeutic purposes.FUNDINGThis work was funded by the Knut and Alice Wallenberg Foundation, BioGaia AB, and Cancerfonden.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kirurgi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Surgery (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Urologi och njurmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Urology and Nephrology (hsv//eng)

Keyword

immunotherapy
melanoma
cancer
oncology
onkologi

Publication and Content Type

ref (subject category)
art (subject category)

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