Cargando…

The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer

Tumor-infiltrating immune cells are associated with prognosis and immunotherapy targets in colorectal cancer (CRC). The recently developed CIBERSORT method allows immune cell analysis by deconvolution of high-throughput data onto gene expression. In this study, we analyzed the relative proportions o...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhong, Jiateng, Qin, Yu, Yu, Pei, Xia, Weiyue, Gu, Baoru, Qian, Xinlai, Hu, Yuhan, Su, Wei, Zhang, Zheying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133796/
https://www.ncbi.nlm.nih.gov/pubmed/35646079
http://dx.doi.org/10.3389/fgene.2022.891270
_version_ 1784713650086346752
author Zhong, Jiateng
Qin, Yu
Yu, Pei
Xia, Weiyue
Gu, Baoru
Qian, Xinlai
Hu, Yuhan
Su, Wei
Zhang, Zheying
author_facet Zhong, Jiateng
Qin, Yu
Yu, Pei
Xia, Weiyue
Gu, Baoru
Qian, Xinlai
Hu, Yuhan
Su, Wei
Zhang, Zheying
author_sort Zhong, Jiateng
collection PubMed
description Tumor-infiltrating immune cells are associated with prognosis and immunotherapy targets in colorectal cancer (CRC). The recently developed CIBERSORT method allows immune cell analysis by deconvolution of high-throughput data onto gene expression. In this study, we analyzed the relative proportions of immune cells in GEO (94 samples) and TCGA (522 samples) CRC data based on the CIBERSORT method. A total of 22 types of tumor-infiltrating immune cells were evaluated. Combined with GEO and TCGA data, it was found that naive B cells, M2 macrophages, and resting mast cells were highly expressed in normal tissues, while M0 macrophages, M1 macrophages, activated mast cells, and neutrophils were highly expressed in tumors. Moreover, we constructed a prognostic model by infiltrating immune cells that showed high specificity and sensitivity in both the training (AUC of 5-year survival = 0.699) and validation (AUC of 5-year survival = 0.844) sets. This provides another basis for clinical prognosis. The results of multiple immunofluorescence detection showed that there were differences in the results of bioinformatics analysis. Neutrophils were highly expressed in normal tissues, and M2 macrophages were highly expressed in tumor tissues. Collectively, our data suggested that infiltrating immune cells in CRC may be an important determinant of prognosis and immunotherapy.
format Online
Article
Text
id pubmed-9133796
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-91337962022-05-27 The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer Zhong, Jiateng Qin, Yu Yu, Pei Xia, Weiyue Gu, Baoru Qian, Xinlai Hu, Yuhan Su, Wei Zhang, Zheying Front Genet Genetics Tumor-infiltrating immune cells are associated with prognosis and immunotherapy targets in colorectal cancer (CRC). The recently developed CIBERSORT method allows immune cell analysis by deconvolution of high-throughput data onto gene expression. In this study, we analyzed the relative proportions of immune cells in GEO (94 samples) and TCGA (522 samples) CRC data based on the CIBERSORT method. A total of 22 types of tumor-infiltrating immune cells were evaluated. Combined with GEO and TCGA data, it was found that naive B cells, M2 macrophages, and resting mast cells were highly expressed in normal tissues, while M0 macrophages, M1 macrophages, activated mast cells, and neutrophils were highly expressed in tumors. Moreover, we constructed a prognostic model by infiltrating immune cells that showed high specificity and sensitivity in both the training (AUC of 5-year survival = 0.699) and validation (AUC of 5-year survival = 0.844) sets. This provides another basis for clinical prognosis. The results of multiple immunofluorescence detection showed that there were differences in the results of bioinformatics analysis. Neutrophils were highly expressed in normal tissues, and M2 macrophages were highly expressed in tumor tissues. Collectively, our data suggested that infiltrating immune cells in CRC may be an important determinant of prognosis and immunotherapy. Frontiers Media S.A. 2022-05-12 /pmc/articles/PMC9133796/ /pubmed/35646079 http://dx.doi.org/10.3389/fgene.2022.891270 Text en Copyright © 2022 Zhong, Qin, Yu, Xia, Gu, Qian, Hu, Su and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhong, Jiateng
Qin, Yu
Yu, Pei
Xia, Weiyue
Gu, Baoru
Qian, Xinlai
Hu, Yuhan
Su, Wei
Zhang, Zheying
The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer
title The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer
title_full The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer
title_fullStr The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer
title_full_unstemmed The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer
title_short The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer
title_sort landscape of the tumor-infiltrating immune cell and prognostic nomogram in colorectal cancer
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133796/
https://www.ncbi.nlm.nih.gov/pubmed/35646079
http://dx.doi.org/10.3389/fgene.2022.891270
work_keys_str_mv AT zhongjiateng thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT qinyu thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yupei thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT xiaweiyue thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT gubaoru thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT qianxinlai thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT huyuhan thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT suwei thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT zhangzheying thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT zhongjiateng landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT qinyu landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yupei landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT xiaweiyue landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT gubaoru landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT qianxinlai landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT huyuhan landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT suwei landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT zhangzheying landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer