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Microbiota composition effect on immunotherapy outcomes in colorectal cancer patients: A systematic review
Immune checkpoint inhibitors (ICIs) have emerged as an effective treatment for colorectal cancer (CRC). Studies indicate that the composition of gut microbiota could potentially serve as a biomarker for predicting the clinical effectiveness of immune checkpoint inhibitors. Following PRISMA guideline...
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Published in: | PloS one 2024-07, Vol.19 (7), p.e0307639 |
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description | Immune checkpoint inhibitors (ICIs) have emerged as an effective treatment for colorectal cancer (CRC). Studies indicate that the composition of gut microbiota could potentially serve as a biomarker for predicting the clinical effectiveness of immune checkpoint inhibitors.
Following PRISMA guidelines, the review was conducted after registering the protocol with PROSPERO. A comprehensive literature search was carried out across five databases: PubMed, Scopus, Web of Science, Embase, and Cochrane Library. Assessment tools from the National Institutes of Health (NIH) were used to gauge the quality of the studies.
A total of 5,132 papers were identified, and three studies and one conference abstract published between 2017-2022 met the inclusion criteria and were summarized in a descriptive synthesis table. These four studies were in accord with the following findings, four main phyla, Firmicutes, Bacteroidata, Actinobacteria, and Verrucomicrobiota were associated with CRC patients' clinical response toward ICIs treatment. Ruminococcaceae was predominantly related to CRC patients responding to therapy, while the Micrococcaceae family was more common among the non-responders. Bacterial taxa such as Faecalibacterium and Prevotellaceae were associated with better responses to ICIs and could be predictive biomarkers. The signature of fecal microbiota with Akkermansia muciniphila and Eubacterium rectale enrichment, and Rothia mucilaginosa depletion could independently predict better response to ICIs in patients with CRC.
The findings have brought attention to the notable differences in terms of richness and composition of microbiota between patients who responded positively to the treatment and those who did not. Bacterial species and families, such as Faecalibacterium, Bifidobacterium, Lachnospiraceae, Akkermansia sp., Ruminococcaceae, and Prevotellaceae, have consistently surfaced as potential indicators of immunotherapeutic responses. Furthermore, this review also emphasizes the need for additional comprehensive, multi-center studies with larger sample sizes to validate reported microbiota and expand our understanding of the role of gut microbiota in CRC ICIs therapy. PROSPERO ID: CRD42021277691. |
doi_str_mv | 10.1371/journal.pone.0307639 |
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Following PRISMA guidelines, the review was conducted after registering the protocol with PROSPERO. A comprehensive literature search was carried out across five databases: PubMed, Scopus, Web of Science, Embase, and Cochrane Library. Assessment tools from the National Institutes of Health (NIH) were used to gauge the quality of the studies.
A total of 5,132 papers were identified, and three studies and one conference abstract published between 2017-2022 met the inclusion criteria and were summarized in a descriptive synthesis table. These four studies were in accord with the following findings, four main phyla, Firmicutes, Bacteroidata, Actinobacteria, and Verrucomicrobiota were associated with CRC patients' clinical response toward ICIs treatment. Ruminococcaceae was predominantly related to CRC patients responding to therapy, while the Micrococcaceae family was more common among the non-responders. Bacterial taxa such as Faecalibacterium and Prevotellaceae were associated with better responses to ICIs and could be predictive biomarkers. The signature of fecal microbiota with Akkermansia muciniphila and Eubacterium rectale enrichment, and Rothia mucilaginosa depletion could independently predict better response to ICIs in patients with CRC.
The findings have brought attention to the notable differences in terms of richness and composition of microbiota between patients who responded positively to the treatment and those who did not. Bacterial species and families, such as Faecalibacterium, Bifidobacterium, Lachnospiraceae, Akkermansia sp., Ruminococcaceae, and Prevotellaceae, have consistently surfaced as potential indicators of immunotherapeutic responses. Furthermore, this review also emphasizes the need for additional comprehensive, multi-center studies with larger sample sizes to validate reported microbiota and expand our understanding of the role of gut microbiota in CRC ICIs therapy. PROSPERO ID: CRD42021277691.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0307639</identifier><identifier>PMID: 39047017</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Biomarkers ; Cancer ; Cancer patients ; Cancer therapies ; Care and treatment ; Cell death ; Clinical trials ; Cohort analysis ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - drug therapy ; Colorectal Neoplasms - immunology ; Colorectal Neoplasms - microbiology ; Colorectal Neoplasms - therapy ; Composition effects ; Cytotoxicity ; Effectiveness ; Faecalibacterium ; Fecal microflora ; Feces - microbiology ; Gastrointestinal Microbiome - drug effects ; Humans ; Immune checkpoint inhibitors ; Immune Checkpoint Inhibitors - therapeutic use ; Immune system ; Immunotherapy ; Immunotherapy - methods ; Inhibitors ; Intestinal microflora ; Literature reviews ; Medicine and Health Sciences ; Microbiota ; Microbiota (Symbiotic organisms) ; Microorganisms ; Monoclonal antibodies ; Oncology, Experimental ; Patient outcomes ; Patients ; Prevotellaceae ; Research and Analysis Methods ; Ruminococcaceae ; Systematic review ; Treatment Outcome ; Tumors</subject><ispartof>PloS one, 2024-07, Vol.19 (7), p.e0307639</ispartof><rights>Copyright: © 2024 Ajab et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Ajab et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Ajab et al 2024 Ajab et al</rights><rights>2024 Ajab et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c610t-af7fa6b4902f1ed8e0e71b5a7867d5895c3d7e4a3730ad72fee60f9cd45a94d23</cites><orcidid>0000-0001-9909-8658 ; 0000-0002-9981-173X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3084293385/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3084293385?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39047017$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-115364$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Yata, Vinod Kumar</contributor><creatorcontrib>Ajab, Suad Mohamed</creatorcontrib><creatorcontrib>Zoughbor, Sumaya Hasan</creatorcontrib><creatorcontrib>Labania, Lena Abdulbaset</creatorcontrib><creatorcontrib>Östlundh, Linda Mari</creatorcontrib><creatorcontrib>Orsud, Hiba Salaheldin</creatorcontrib><creatorcontrib>Olanda, Marie Antonette</creatorcontrib><creatorcontrib>Alkaabi, Obaid</creatorcontrib><creatorcontrib>Alkuwaiti, Shamma Hamad</creatorcontrib><creatorcontrib>Alnuaimi, Shaikha Mohammed</creatorcontrib><creatorcontrib>Al Rasbi, Zakeya</creatorcontrib><title>Microbiota composition effect on immunotherapy outcomes in colorectal cancer patients: A systematic review</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Immune checkpoint inhibitors (ICIs) have emerged as an effective treatment for colorectal cancer (CRC). Studies indicate that the composition of gut microbiota could potentially serve as a biomarker for predicting the clinical effectiveness of immune checkpoint inhibitors.
Following PRISMA guidelines, the review was conducted after registering the protocol with PROSPERO. A comprehensive literature search was carried out across five databases: PubMed, Scopus, Web of Science, Embase, and Cochrane Library. Assessment tools from the National Institutes of Health (NIH) were used to gauge the quality of the studies.
A total of 5,132 papers were identified, and three studies and one conference abstract published between 2017-2022 met the inclusion criteria and were summarized in a descriptive synthesis table. These four studies were in accord with the following findings, four main phyla, Firmicutes, Bacteroidata, Actinobacteria, and Verrucomicrobiota were associated with CRC patients' clinical response toward ICIs treatment. Ruminococcaceae was predominantly related to CRC patients responding to therapy, while the Micrococcaceae family was more common among the non-responders. Bacterial taxa such as Faecalibacterium and Prevotellaceae were associated with better responses to ICIs and could be predictive biomarkers. The signature of fecal microbiota with Akkermansia muciniphila and Eubacterium rectale enrichment, and Rothia mucilaginosa depletion could independently predict better response to ICIs in patients with CRC.
The findings have brought attention to the notable differences in terms of richness and composition of microbiota between patients who responded positively to the treatment and those who did not. Bacterial species and families, such as Faecalibacterium, Bifidobacterium, Lachnospiraceae, Akkermansia sp., Ruminococcaceae, and Prevotellaceae, have consistently surfaced as potential indicators of immunotherapeutic responses. Furthermore, this review also emphasizes the need for additional comprehensive, multi-center studies with larger sample sizes to validate reported microbiota and expand our understanding of the role of gut microbiota in CRC ICIs therapy. 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Inhibitors - therapeutic use</subject><subject>Immune system</subject><subject>Immunotherapy</subject><subject>Immunotherapy - methods</subject><subject>Inhibitors</subject><subject>Intestinal microflora</subject><subject>Literature reviews</subject><subject>Medicine and Health Sciences</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Microorganisms</subject><subject>Monoclonal antibodies</subject><subject>Oncology, Experimental</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Prevotellaceae</subject><subject>Research and Analysis Methods</subject><subject>Ruminococcaceae</subject><subject>Systematic review</subject><subject>Treatment 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ajab, Suad Mohamed</au><au>Zoughbor, Sumaya Hasan</au><au>Labania, Lena Abdulbaset</au><au>Östlundh, Linda Mari</au><au>Orsud, Hiba Salaheldin</au><au>Olanda, Marie Antonette</au><au>Alkaabi, Obaid</au><au>Alkuwaiti, Shamma Hamad</au><au>Alnuaimi, Shaikha Mohammed</au><au>Al Rasbi, Zakeya</au><au>Yata, Vinod Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microbiota composition effect on immunotherapy outcomes in colorectal cancer patients: A systematic review</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-07-24</date><risdate>2024</risdate><volume>19</volume><issue>7</issue><spage>e0307639</spage><pages>e0307639-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Immune checkpoint inhibitors (ICIs) have emerged as an effective treatment for colorectal cancer (CRC). Studies indicate that the composition of gut microbiota could potentially serve as a biomarker for predicting the clinical effectiveness of immune checkpoint inhibitors.
Following PRISMA guidelines, the review was conducted after registering the protocol with PROSPERO. A comprehensive literature search was carried out across five databases: PubMed, Scopus, Web of Science, Embase, and Cochrane Library. Assessment tools from the National Institutes of Health (NIH) were used to gauge the quality of the studies.
A total of 5,132 papers were identified, and three studies and one conference abstract published between 2017-2022 met the inclusion criteria and were summarized in a descriptive synthesis table. These four studies were in accord with the following findings, four main phyla, Firmicutes, Bacteroidata, Actinobacteria, and Verrucomicrobiota were associated with CRC patients' clinical response toward ICIs treatment. Ruminococcaceae was predominantly related to CRC patients responding to therapy, while the Micrococcaceae family was more common among the non-responders. Bacterial taxa such as Faecalibacterium and Prevotellaceae were associated with better responses to ICIs and could be predictive biomarkers. The signature of fecal microbiota with Akkermansia muciniphila and Eubacterium rectale enrichment, and Rothia mucilaginosa depletion could independently predict better response to ICIs in patients with CRC.
The findings have brought attention to the notable differences in terms of richness and composition of microbiota between patients who responded positively to the treatment and those who did not. Bacterial species and families, such as Faecalibacterium, Bifidobacterium, Lachnospiraceae, Akkermansia sp., Ruminococcaceae, and Prevotellaceae, have consistently surfaced as potential indicators of immunotherapeutic responses. Furthermore, this review also emphasizes the need for additional comprehensive, multi-center studies with larger sample sizes to validate reported microbiota and expand our understanding of the role of gut microbiota in CRC ICIs therapy. PROSPERO ID: CRD42021277691.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39047017</pmid><doi>10.1371/journal.pone.0307639</doi><tpages>e0307639</tpages><orcidid>https://orcid.org/0000-0001-9909-8658</orcidid><orcidid>https://orcid.org/0000-0002-9981-173X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-07, Vol.19 (7), p.e0307639 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3084293385 |
source | Open Access: PubMed Central; Publicly Available Content Database |
subjects | Biology and Life Sciences Biomarkers Cancer Cancer patients Cancer therapies Care and treatment Cell death Clinical trials Cohort analysis Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - drug therapy Colorectal Neoplasms - immunology Colorectal Neoplasms - microbiology Colorectal Neoplasms - therapy Composition effects Cytotoxicity Effectiveness Faecalibacterium Fecal microflora Feces - microbiology Gastrointestinal Microbiome - drug effects Humans Immune checkpoint inhibitors Immune Checkpoint Inhibitors - therapeutic use Immune system Immunotherapy Immunotherapy - methods Inhibitors Intestinal microflora Literature reviews Medicine and Health Sciences Microbiota Microbiota (Symbiotic organisms) Microorganisms Monoclonal antibodies Oncology, Experimental Patient outcomes Patients Prevotellaceae Research and Analysis Methods Ruminococcaceae Systematic review Treatment Outcome Tumors |
title | Microbiota composition effect on immunotherapy outcomes in colorectal cancer patients: A systematic review |
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