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Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer

INTRODUCTION: Difference in clinical responses to cancer therapy in each patient is from several factors. Gastrointestinal microbiota is one of the reasons. However, this correlation remains unknown. This study aims to explore correlation between gastrointestinal microbiota profile and clinical outc...

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Autores principales: Saifon, Woraseth, Sensorn, Insee, Trachu, Narumol, Oranratnachai, Songporn, Charoenyingwattana, Angkana, Runcharoen, Chakkaphan, Monnamo, Nanamon, Sukkasem, Warawut, Inchareon, Pimpin, Suwatanapongched, Thitiporn, Chansriwong, Phichai, Ativitavas, Touch, Panvichian, Ravat, Chantratita, Wasun, Reungwetwattana, Thanyanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454126/
https://www.ncbi.nlm.nih.gov/pubmed/36076157
http://dx.doi.org/10.1186/s12885-022-10050-3
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author Saifon, Woraseth
Sensorn, Insee
Trachu, Narumol
Oranratnachai, Songporn
Charoenyingwattana, Angkana
Runcharoen, Chakkaphan
Monnamo, Nanamon
Sukkasem, Warawut
Inchareon, Pimpin
Suwatanapongched, Thitiporn
Chansriwong, Phichai
Ativitavas, Touch
Panvichian, Ravat
Chantratita, Wasun
Reungwetwattana, Thanyanan
author_facet Saifon, Woraseth
Sensorn, Insee
Trachu, Narumol
Oranratnachai, Songporn
Charoenyingwattana, Angkana
Runcharoen, Chakkaphan
Monnamo, Nanamon
Sukkasem, Warawut
Inchareon, Pimpin
Suwatanapongched, Thitiporn
Chansriwong, Phichai
Ativitavas, Touch
Panvichian, Ravat
Chantratita, Wasun
Reungwetwattana, Thanyanan
author_sort Saifon, Woraseth
collection PubMed
description INTRODUCTION: Difference in clinical responses to cancer therapy in each patient is from several factors. Gastrointestinal microbiota is one of the reasons. However, this correlation remains unknown. This study aims to explore correlation between gastrointestinal microbiota profile and clinical outcomes in Thai advanced non-small cell lung cancer (NSCLC) according to epidermal growth factor receptor (EGFR) status. METHODS: We enrolled 13 patients with advanced EGFR–wild-type (WT) NSCLC who received chemotherapy and 15 patients with EGFR-mutant NSCLC who received EGFR tyrosine kinase inhibitors. We collected fecal samples at baseline and first disease evaluation and performed 16S rRNA gene sequencing by NGS to assess microbiota profile. The correlations between gastrointestinal microbiota and clinical variables were studied. RESULTS: The clinical characteristics were balanced between the cohorts, excluding significantly higher albumin levels in the EGFR-mutant group. Albumin was the only significant clinical factor affecting the treatment response in multivariate analysis (ORR 15.6%, P = 0.03). Proteobacteria counts were higher in the EGFR-WT group, whereas Bacteroidetes and Firmicutes counts were higher in the EGFR-mutant group. The alpha diversity of the gastrointestinal microbiome was significantly higher in the EGFR-mutant group (Shannon index: 3.82 vs. 3.25, P = 0.022). Following treatment, Proteobacteria counts were lower and Bacteroidetes and Firmicutes counts were higher in both cohorts; the changes were more prominent in the EGFR-WT cohort. No significant correlation between microbiota profile and treatment response were demonstrated in our study. However, beta diversity was significantly different according to severity of adverse events. Enrichment of Clostridia and Bacteroidia was associated with higher adverse event risk in the EGFR-WT cohort. CONCLUSIONS: Proteobacteria was dominant in Thai lung cancer patients both EGFR-WT and EGFR-mutant, and this phylum maybe associate with lung cancer carcinogenesis. Chemotherapy altered the gastrointestinal microbiota, whereas EGFR-TKIs had less effects. Our findings highlight the potential predictive utility of the gastrointestinal microbiota for lung cancer carcinogenesis. Studies with larger cohorts and comparison with the healthy Thai population are ongoing to validate this pilot study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10050-3.
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spelling pubmed-94541262022-09-09 Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer Saifon, Woraseth Sensorn, Insee Trachu, Narumol Oranratnachai, Songporn Charoenyingwattana, Angkana Runcharoen, Chakkaphan Monnamo, Nanamon Sukkasem, Warawut Inchareon, Pimpin Suwatanapongched, Thitiporn Chansriwong, Phichai Ativitavas, Touch Panvichian, Ravat Chantratita, Wasun Reungwetwattana, Thanyanan BMC Cancer Research INTRODUCTION: Difference in clinical responses to cancer therapy in each patient is from several factors. Gastrointestinal microbiota is one of the reasons. However, this correlation remains unknown. This study aims to explore correlation between gastrointestinal microbiota profile and clinical outcomes in Thai advanced non-small cell lung cancer (NSCLC) according to epidermal growth factor receptor (EGFR) status. METHODS: We enrolled 13 patients with advanced EGFR–wild-type (WT) NSCLC who received chemotherapy and 15 patients with EGFR-mutant NSCLC who received EGFR tyrosine kinase inhibitors. We collected fecal samples at baseline and first disease evaluation and performed 16S rRNA gene sequencing by NGS to assess microbiota profile. The correlations between gastrointestinal microbiota and clinical variables were studied. RESULTS: The clinical characteristics were balanced between the cohorts, excluding significantly higher albumin levels in the EGFR-mutant group. Albumin was the only significant clinical factor affecting the treatment response in multivariate analysis (ORR 15.6%, P = 0.03). Proteobacteria counts were higher in the EGFR-WT group, whereas Bacteroidetes and Firmicutes counts were higher in the EGFR-mutant group. The alpha diversity of the gastrointestinal microbiome was significantly higher in the EGFR-mutant group (Shannon index: 3.82 vs. 3.25, P = 0.022). Following treatment, Proteobacteria counts were lower and Bacteroidetes and Firmicutes counts were higher in both cohorts; the changes were more prominent in the EGFR-WT cohort. No significant correlation between microbiota profile and treatment response were demonstrated in our study. However, beta diversity was significantly different according to severity of adverse events. Enrichment of Clostridia and Bacteroidia was associated with higher adverse event risk in the EGFR-WT cohort. CONCLUSIONS: Proteobacteria was dominant in Thai lung cancer patients both EGFR-WT and EGFR-mutant, and this phylum maybe associate with lung cancer carcinogenesis. Chemotherapy altered the gastrointestinal microbiota, whereas EGFR-TKIs had less effects. Our findings highlight the potential predictive utility of the gastrointestinal microbiota for lung cancer carcinogenesis. Studies with larger cohorts and comparison with the healthy Thai population are ongoing to validate this pilot study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10050-3. BioMed Central 2022-09-08 /pmc/articles/PMC9454126/ /pubmed/36076157 http://dx.doi.org/10.1186/s12885-022-10050-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Saifon, Woraseth
Sensorn, Insee
Trachu, Narumol
Oranratnachai, Songporn
Charoenyingwattana, Angkana
Runcharoen, Chakkaphan
Monnamo, Nanamon
Sukkasem, Warawut
Inchareon, Pimpin
Suwatanapongched, Thitiporn
Chansriwong, Phichai
Ativitavas, Touch
Panvichian, Ravat
Chantratita, Wasun
Reungwetwattana, Thanyanan
Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer
title Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer
title_full Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer
title_fullStr Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer
title_full_unstemmed Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer
title_short Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer
title_sort gastrointestinal microbiota profile and clinical correlations in advanced egfr-wt and egfr-mutant non-small cell lung cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454126/
https://www.ncbi.nlm.nih.gov/pubmed/36076157
http://dx.doi.org/10.1186/s12885-022-10050-3
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