Cargando…

The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling

BACKGROUNG: Tumor microenvironment (TME) has gradually emerged as an important research topic in the fight against cancer. The immune system is a major contributing factor in TME, and investigations have revealed that tumors are partially infiltrated with numerous immune cell subsets. METHOD: We obt...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Weiwei, Yin, Hongli, Han, Chenguang, Mao, Qiantai, Tang, Jing, Ji, Zhaoshuai, Yan, Xu, Wang, Lan, Liu, Shengnan, Ai, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545341/
https://www.ncbi.nlm.nih.gov/pubmed/34559115
http://dx.doi.org/10.1097/MD.0000000000027224
_version_ 1785114651014463488
author Song, Weiwei
Yin, Hongli
Han, Chenguang
Mao, Qiantai
Tang, Jing
Ji, Zhaoshuai
Yan, Xu
Wang, Lan
Liu, Shengnan
Ai, Chao
author_facet Song, Weiwei
Yin, Hongli
Han, Chenguang
Mao, Qiantai
Tang, Jing
Ji, Zhaoshuai
Yan, Xu
Wang, Lan
Liu, Shengnan
Ai, Chao
author_sort Song, Weiwei
collection PubMed
description BACKGROUNG: Tumor microenvironment (TME) has gradually emerged as an important research topic in the fight against cancer. The immune system is a major contributing factor in TME, and investigations have revealed that tumors are partially infiltrated with numerous immune cell subsets. METHOD: We obtained transcriptome RNA-seq data from the the Cancer Genome Atlas databases for 521 patients with colon adenocarcinoma (COAD). ESTIMATE algorithms are then used to estimate the fraction of stromal and immune cells in COAD samples. RESULT: A total of 1109 stromal-immune score-related differentially expressed genes were identified and used to generate a high-confidence protein–protein interaction network and univariate COX regression analysis. C-X-C motif chemokine 10 (CXCL10) was identified as the core gene by intersection analysis of data from protein–protein interaction network and univariate COX regression analysis. Then, for CXCL10, we performed gene set enrichment analysis, survival analysis and clinical analysis, and we used CIBERSORT algorithms to estimate the proportion of tumor-infiltrating immune cells in COAD samples. CONCLUSION: We discovered that CXCL10 levels could be effective for predicting the prognosis of COAD patients as well as a clue that the status of TME is transitioning from immunological to metabolic activity, which provided additional information for COAD therapies.
format Online
Article
Text
id pubmed-10545341
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-105453412023-10-03 The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling Song, Weiwei Yin, Hongli Han, Chenguang Mao, Qiantai Tang, Jing Ji, Zhaoshuai Yan, Xu Wang, Lan Liu, Shengnan Ai, Chao Medicine (Baltimore) 5700 BACKGROUNG: Tumor microenvironment (TME) has gradually emerged as an important research topic in the fight against cancer. The immune system is a major contributing factor in TME, and investigations have revealed that tumors are partially infiltrated with numerous immune cell subsets. METHOD: We obtained transcriptome RNA-seq data from the the Cancer Genome Atlas databases for 521 patients with colon adenocarcinoma (COAD). ESTIMATE algorithms are then used to estimate the fraction of stromal and immune cells in COAD samples. RESULT: A total of 1109 stromal-immune score-related differentially expressed genes were identified and used to generate a high-confidence protein–protein interaction network and univariate COX regression analysis. C-X-C motif chemokine 10 (CXCL10) was identified as the core gene by intersection analysis of data from protein–protein interaction network and univariate COX regression analysis. Then, for CXCL10, we performed gene set enrichment analysis, survival analysis and clinical analysis, and we used CIBERSORT algorithms to estimate the proportion of tumor-infiltrating immune cells in COAD samples. CONCLUSION: We discovered that CXCL10 levels could be effective for predicting the prognosis of COAD patients as well as a clue that the status of TME is transitioning from immunological to metabolic activity, which provided additional information for COAD therapies. Lippincott Williams & Wilkins 2021-09-24 /pmc/articles/PMC10545341/ /pubmed/34559115 http://dx.doi.org/10.1097/MD.0000000000027224 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 5700
Song, Weiwei
Yin, Hongli
Han, Chenguang
Mao, Qiantai
Tang, Jing
Ji, Zhaoshuai
Yan, Xu
Wang, Lan
Liu, Shengnan
Ai, Chao
The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling
title The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling
title_full The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling
title_fullStr The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling
title_full_unstemmed The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling
title_short The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling
title_sort role of cxcl10 in prognosis of patients with colon cancer and tumor microenvironment remodeling
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545341/
https://www.ncbi.nlm.nih.gov/pubmed/34559115
http://dx.doi.org/10.1097/MD.0000000000027224
work_keys_str_mv AT songweiwei theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT yinhongli theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT hanchenguang theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT maoqiantai theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT tangjing theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT jizhaoshuai theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT yanxu theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT wanglan theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT liushengnan theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT aichao theroleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT songweiwei roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT yinhongli roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT hanchenguang roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT maoqiantai roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT tangjing roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT jizhaoshuai roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT yanxu roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT wanglan roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT liushengnan roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling
AT aichao roleofcxcl10inprognosisofpatientswithcoloncancerandtumormicroenvironmentremodeling