Literature DB >> 33363048

The Gut Microbiome Is Associated With Therapeutic Responses and Toxicities of Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients-A Pilot Study.

Wei Shi1,2, Lijun Shen1,2, Wei Zou1,2, Jingwen Wang1,2, Jianing Yang1,2, Yuezhu Wang3, Bingdong Liu4, Liwei Xie4,5,6, Ji Zhu1,2, Zhen Zhang1,2.   

Abstract

Responses to neoadjuvant chemoradiotherapy (nCRT) and therapy-related toxicities in rectal cancer vary among patients. To provide the individualized therapeutic option for each patient, predictive markers of therapeutic responses and toxicities are in critical need. We aimed to identify the association of gut microbiome with and its potential predictive value for therapeutic responses and toxicities. In the present study, we collected fecal microbiome samples from patients with rectal cancer at treatment initiation and just after nCRT. Taxonomic profiling via 16S ribosomal RNA gene sequencing was performed on all samples. Patients were classified as responders versus non-responders. Patients were grouped into no or mild diarrhea and severe diarrhea. STAMP and high-dimensional class comparisons via linear discriminant analysis of effect size (LEfSe) were used to compare the compositional differences between groups. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was utilized to predict differences in metabolic function between groups. Ten patients were classified as responders and 12 patients were classified as non-responders. Fourteen patients experienced no or mild diarrhea and 8 patients experienced severe diarrhea. Several bacteria taxa with significantly different relative abundances before and after nCRT were identified. Similarly, several baseline bacteria taxa and predicted pathways with significantly different relative abundances between responders and non-responders or between patients no or mild diarrhea and severe diarrhea were identified. Specifically, Shuttleworthia was identified as enriched in responders and several bacteria taxa in the Clostridiales order etc. were identified as enriched in non-responders. Pathways including fatty acid metabolism were predicted to be enriched in responders. In addition, Bifidobacterium, Clostridia, and Bacteroides etc. were identified as enriched in patients with no or mild diarrhea. Pathways including primary bile acid biosynthesis were predicted to be enriched in patients with no or mild diarrhea. Together, the microbiota and pathway markers identified in this study may be utilized to predict the therapeutic responses and therapy-related toxicities of nCRT in patients with rectal cancer. More patient data is needed to verify the current findings and the results of metagenomic, metatranscriptomic, and metabolomic analyses will further mine key biomarkers at the compositional and functional level.
Copyright © 2020 Shi, Shen, Zou, Wang, Yang, Wang, Liu, Xie, Zhu and Zhang.

Entities:  

Keywords:  gut microbiome; neoadjuvant chemoradiotherapy; rectal cancer; therapeutic responses; toxicities

Year:  2020        PMID: 33363048      PMCID: PMC7756020          DOI: 10.3389/fcimb.2020.562463

Source DB:  PubMed          Journal:  Front Cell Infect Microbiol        ISSN: 2235-2988            Impact factor:   5.293


  64 in total

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Authors:  Donovan H Parks; Gene W Tyson; Philip Hugenholtz; Robert G Beiko
Journal:  Bioinformatics       Date:  2014-07-23       Impact factor: 6.937

Review 2.  The microbiota in adaptive immune homeostasis and disease.

Authors:  Kenya Honda; Dan R Littman
Journal:  Nature       Date:  2016-07-07       Impact factor: 49.962

Review 3.  Cancer treatment and survivorship statistics, 2012.

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Journal:  CA Cancer J Clin       Date:  2012-06-14       Impact factor: 508.702

4.  Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors.

Authors:  Bertrand Routy; Emmanuelle Le Chatelier; Lisa Derosa; Connie P M Duong; Maryam Tidjani Alou; Romain Daillère; Aurélie Fluckiger; Meriem Messaoudene; Conrad Rauber; Maria P Roberti; Marine Fidelle; Caroline Flament; Vichnou Poirier-Colame; Paule Opolon; Christophe Klein; Kristina Iribarren; Laura Mondragón; Nicolas Jacquelot; Bo Qu; Gladys Ferrere; Céline Clémenson; Laura Mezquita; Jordi Remon Masip; Charles Naltet; Solenn Brosseau; Coureche Kaderbhai; Corentin Richard; Hira Rizvi; Florence Levenez; Nathalie Galleron; Benoit Quinquis; Nicolas Pons; Bernhard Ryffel; Véronique Minard-Colin; Patrick Gonin; Jean-Charles Soria; Eric Deutsch; Yohann Loriot; François Ghiringhelli; Gérard Zalcman; François Goldwasser; Bernard Escudier; Matthew D Hellmann; Alexander Eggermont; Didier Raoult; Laurence Albiges; Guido Kroemer; Laurence Zitvogel
Journal:  Science       Date:  2017-11-02       Impact factor: 47.728

5.  Microbial regulation of intestinal radiosensitivity.

Authors:  Peter A Crawford; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-29       Impact factor: 11.205

6.  Molecular characterization of mucosal adherent bacteria and associations with colorectal adenomas.

Authors:  Xiang Jun Shen; John F Rawls; Thomas Randall; Lauren Burcal; Caroline N Mpande; Natascha Jenkins; Biljana Jovov; Zaid Abdo; Robert S Sandler; Temitope O Keku
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7.  Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation.

Authors:  Andrew Maltez Thomas; Paolo Manghi; Francesco Asnicar; Edoardo Pasolli; Federica Armanini; Moreno Zolfo; Francesco Beghini; Serena Manara; Nicolai Karcher; Chiara Pozzi; Sara Gandini; Davide Serrano; Sonia Tarallo; Antonio Francavilla; Gaetano Gallo; Mario Trompetto; Giulio Ferrero; Sayaka Mizutani; Hirotsugu Shiroma; Satoshi Shiba; Tatsuhiro Shibata; Shinichi Yachida; Takuji Yamada; Jakob Wirbel; Petra Schrotz-King; Cornelia M Ulrich; Hermann Brenner; Manimozhiyan Arumugam; Peer Bork; Georg Zeller; Francesca Cordero; Emmanuel Dias-Neto; João Carlos Setubal; Adrian Tett; Barbara Pardini; Maria Rescigno; Levi Waldron; Alessio Naccarati; Nicola Segata
Journal:  Nat Med       Date:  2019-04-01       Impact factor: 87.241

8.  The Ribosomal Database Project: improved alignments and new tools for rRNA analysis.

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Journal:  Nucleic Acids Res       Date:  2008-11-12       Impact factor: 16.971

9.  Structure and Inhibition of Microbiome β-Glucuronidases Essential to the Alleviation of Cancer Drug Toxicity.

Authors:  Bret D Wallace; Adam B Roberts; Rebecca M Pollet; James D Ingle; Kristen A Biernat; Samuel J Pellock; Madhu Kumar Venkatesh; Leah Guthrie; Sara K O'Neal; Sara J Robinson; Makani Dollinger; Esteban Figueroa; Sarah R McShane; Rachel D Cohen; Jian Jin; Stephen V Frye; William C Zamboni; Charles Pepe-Ranney; Sridhar Mani; Libusha Kelly; Matthew R Redinbo
Journal:  Chem Biol       Date:  2015-09-10

10.  The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.

Authors:  Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

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  7 in total

Review 1.  The Mycobiome: Cancer Pathogenesis, Diagnosis, and Therapy.

Authors:  Ahmed Gamal; Mohammed Elshaer; Mayyadah Alabdely; Ahmed Kadry; Thomas S McCormick; Mahmoud Ghannoum
Journal:  Cancers (Basel)       Date:  2022-06-10       Impact factor: 6.575

2.  Microbial Characteristics of Locally Advanced Rectal Cancer Patients After Neoadjuvant Chemoradiation Therapy According to Pathologic Response.

Authors:  Qilin Fan; Fumei Shang; Chen Chen; Hongxia Zhou; Jun Fan; Ming Yang; Xiu Nie; Li Liu; Kailin Cai; Hongli Liu
Journal:  Cancer Manag Res       Date:  2021-03-19       Impact factor: 3.989

Review 3.  The Impact of the Microbiome on Resistance to Cancer Treatment with Chemotherapeutic Agents and Immunotherapy.

Authors:  Aneta Sevcikova; Nikola Izoldova; Viola Stevurkova; Barbora Kasperova; Michal Chovanec; Sona Ciernikova; Michal Mego
Journal:  Int J Mol Sci       Date:  2022-01-01       Impact factor: 5.923

Review 4.  Predicting response to neoadjuvant chemoradiotherapy in rectal cancer: from biomarkers to tumor models.

Authors:  Moying Li; Qiyun Xiao; Nachiyappan Venkatachalam; Ralf-Dieter Hofheinz; Marlon R Veldwijk; Carsten Herskind; Matthias P Ebert; Tianzuo Zhan
Journal:  Ther Adv Med Oncol       Date:  2022-02-21       Impact factor: 8.168

5.  Exome and Tissue-Associated Microbiota as Predictive Markers of Response to Neoadjuvant Treatment in Locally Advanced Rectal Cancer.

Authors:  Isabella Kuniko T M Takenaka; Thais F Bartelli; Alexandre Defelicibus; Juan M Sendoya; Mariano Golubicki; Juan Robbio; Marianna S Serpa; Gabriela P Branco; Luana B C Santos; Laura C L Claro; Gabriel Oliveira Dos Santos; Bruna E C Kupper; Israel T da Silva; Andrea S Llera; Celso A L de Mello; Rachel P Riechelmann; Emmanuel Dias-Neto; Soledad Iseas; Samuel Aguiar; Diana Noronha Nunes
Journal:  Front Oncol       Date:  2022-03-22       Impact factor: 6.244

6.  Combining fecal microbiome and metabolomics to reveal the disturbance of gut microbiota in liver injury and the therapeutic mechanism of shaoyao gancao decoction.

Authors:  Jingwei Li; Min Zhao; Jianming Li; Miao Wang; Chunjie Zhao
Journal:  Front Pharmacol       Date:  2022-08-16       Impact factor: 5.988

Review 7.  The Interplay among Radiation Therapy, Antibiotics and the Microbiota: Impact on Cancer Treatment Outcomes.

Authors:  Kavery Nivana Theethira Poonacha; Tomás G Villa; Vicente Notario
Journal:  Antibiotics (Basel)       Date:  2022-03-02
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