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Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction
OBJECTIVE: The relationship between intestinal microbiome and colorectal cancer (CRC) progression is unclear. This study aims to identify the intestinal microbiome associated with CRC progression and construct predictive labels to support the accurate assessment and treatment of CRC. METHOD: The 192...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249256/ https://www.ncbi.nlm.nih.gov/pubmed/37291572 http://dx.doi.org/10.1186/s12967-023-04119-1 |
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author | Liu, Jungang Huang, Xiaoliang Chen, Chuanbin Wang, Zhen Huang, Zigui Qin, Mingjian He, Fuhai Tang, Binzhe Long, Chenyan Hu, Hong Pan, Shuibo Wu, Junduan Tang, Weizhong |
author_facet | Liu, Jungang Huang, Xiaoliang Chen, Chuanbin Wang, Zhen Huang, Zigui Qin, Mingjian He, Fuhai Tang, Binzhe Long, Chenyan Hu, Hong Pan, Shuibo Wu, Junduan Tang, Weizhong |
author_sort | Liu, Jungang |
collection | PubMed |
description | OBJECTIVE: The relationship between intestinal microbiome and colorectal cancer (CRC) progression is unclear. This study aims to identify the intestinal microbiome associated with CRC progression and construct predictive labels to support the accurate assessment and treatment of CRC. METHOD: The 192 patients included in the study were divided into stage I-II and stage III-IV CRC patients according to the pathological stages, and preoperative stools were collected from both groups for 16S rDNA sequencing of the intestinal microbiota. Pearson correlation and Spearman correlation coefficient analysis were used to analyze the differential intestinal microbiome and the correlation with tumor microenvironment and to predict the functional pathway. XGBoost model (XGB) and Random Forest model (RF) were used to construct the microbiome-based signature. The total RNA extraction from 17 CRC tumor simples was used for transcriptome sequencing. RESULT: The Simpson index of intestinal microbiome in stage III-IV CRC were significantly lower than those in stage I-II CRC. Proteus, Parabacteroides, Alistipes and Ruminococcus etc. are significantly enriched genus in feces of CRC patients with stage III-IV. ko00514: Other types of O − glycan biosynthesis pathway is relevant with CRC progression. Alistipes indistinctus was positively correlated with mast cells, immune activators IL-6 and IL6R, and GOBP_PROTEIN_FOLDING_IN_ENDOPLASMIC_RETICULUM dominantly. The Random Forest (RF) model and eXtreme Gradient Boosting (XGBoost) model constructed with 42 CRC progression-associated differential bacteria were effective in distinguishing CRC patients between stage I-II and stage III-IV. CONCLUSIONS: The abundance and diversity of intestinal microbiome may increase gradually with the occurrence and progression of CRC. Elevated fetal abundance of Proteus, Parabacteroides, Alistipes and Ruminococcus may contribute to CRC progression. Enhanced synthesis of O − glycans may result in CRC progression. Alistipes indistinctus may play a facilitated role in mast cell maturation by boosting IL-6 production. Alistipes indistinctus may work in the correct folding of endoplasmic reticulum proteins in CRC, reducing ER stress and prompting the survival and deterioration of CRC, which may owe to the enhanced PERK expression and activation of downstream UPR by Alistipes indistinctus. The CRC progression-associated differential intestinal microbiome identified in our study can be served as potential microbial markers for CRC staging prediction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04119-1. |
format | Online Article Text |
id | pubmed-10249256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102492562023-06-09 Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction Liu, Jungang Huang, Xiaoliang Chen, Chuanbin Wang, Zhen Huang, Zigui Qin, Mingjian He, Fuhai Tang, Binzhe Long, Chenyan Hu, Hong Pan, Shuibo Wu, Junduan Tang, Weizhong J Transl Med Research OBJECTIVE: The relationship between intestinal microbiome and colorectal cancer (CRC) progression is unclear. This study aims to identify the intestinal microbiome associated with CRC progression and construct predictive labels to support the accurate assessment and treatment of CRC. METHOD: The 192 patients included in the study were divided into stage I-II and stage III-IV CRC patients according to the pathological stages, and preoperative stools were collected from both groups for 16S rDNA sequencing of the intestinal microbiota. Pearson correlation and Spearman correlation coefficient analysis were used to analyze the differential intestinal microbiome and the correlation with tumor microenvironment and to predict the functional pathway. XGBoost model (XGB) and Random Forest model (RF) were used to construct the microbiome-based signature. The total RNA extraction from 17 CRC tumor simples was used for transcriptome sequencing. RESULT: The Simpson index of intestinal microbiome in stage III-IV CRC were significantly lower than those in stage I-II CRC. Proteus, Parabacteroides, Alistipes and Ruminococcus etc. are significantly enriched genus in feces of CRC patients with stage III-IV. ko00514: Other types of O − glycan biosynthesis pathway is relevant with CRC progression. Alistipes indistinctus was positively correlated with mast cells, immune activators IL-6 and IL6R, and GOBP_PROTEIN_FOLDING_IN_ENDOPLASMIC_RETICULUM dominantly. The Random Forest (RF) model and eXtreme Gradient Boosting (XGBoost) model constructed with 42 CRC progression-associated differential bacteria were effective in distinguishing CRC patients between stage I-II and stage III-IV. CONCLUSIONS: The abundance and diversity of intestinal microbiome may increase gradually with the occurrence and progression of CRC. Elevated fetal abundance of Proteus, Parabacteroides, Alistipes and Ruminococcus may contribute to CRC progression. Enhanced synthesis of O − glycans may result in CRC progression. Alistipes indistinctus may play a facilitated role in mast cell maturation by boosting IL-6 production. Alistipes indistinctus may work in the correct folding of endoplasmic reticulum proteins in CRC, reducing ER stress and prompting the survival and deterioration of CRC, which may owe to the enhanced PERK expression and activation of downstream UPR by Alistipes indistinctus. The CRC progression-associated differential intestinal microbiome identified in our study can be served as potential microbial markers for CRC staging prediction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04119-1. BioMed Central 2023-06-08 /pmc/articles/PMC10249256/ /pubmed/37291572 http://dx.doi.org/10.1186/s12967-023-04119-1 Text en © The Author(s) 2023 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 Liu, Jungang Huang, Xiaoliang Chen, Chuanbin Wang, Zhen Huang, Zigui Qin, Mingjian He, Fuhai Tang, Binzhe Long, Chenyan Hu, Hong Pan, Shuibo Wu, Junduan Tang, Weizhong Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction |
title | Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction |
title_full | Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction |
title_fullStr | Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction |
title_full_unstemmed | Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction |
title_short | Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction |
title_sort | identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249256/ https://www.ncbi.nlm.nih.gov/pubmed/37291572 http://dx.doi.org/10.1186/s12967-023-04119-1 |
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