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...

Full description

Bibliographic Details
Main Authors: Jiateng Zhong, Yu Qin, Pei Yu, Weiyue Xia, Baoru Gu, Xinlai Qian, Yuhan Hu, Wei Su, Zheying Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.891270/full
_version_ 1828553867410800640
author Jiateng Zhong
Jiateng Zhong
Jiateng Zhong
Jiateng Zhong
Yu Qin
Yu Qin
Pei Yu
Weiyue Xia
Baoru Gu
Xinlai Qian
Yuhan Hu
Wei Su
Zheying Zhang
Zheying Zhang
author_facet Jiateng Zhong
Jiateng Zhong
Jiateng Zhong
Jiateng Zhong
Yu Qin
Yu Qin
Pei Yu
Weiyue Xia
Baoru Gu
Xinlai Qian
Yuhan Hu
Wei Su
Zheying Zhang
Zheying Zhang
author_sort Jiateng Zhong
collection DOAJ
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.
first_indexed 2024-12-12T05:26:03Z
format Article
id doaj.art-daa4af62af134701beaec6fea0dde1ac
institution Directory Open Access Journal
issn 1664-8021
language English
last_indexed 2024-12-12T05:26:03Z
publishDate 2022-05-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Genetics
spelling doaj.art-daa4af62af134701beaec6fea0dde1ac2022-12-22T00:36:27ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-05-011310.3389/fgene.2022.891270891270The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal CancerJiateng Zhong0Jiateng Zhong1Jiateng Zhong2Jiateng Zhong3Yu Qin4Yu Qin5Pei Yu6Weiyue Xia7Baoru Gu8Xinlai Qian9Yuhan Hu10Wei Su11Zheying Zhang12Zheying Zhang13Department of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaDepartment of Gynecology, The Fourth Clinical College of Xinxiang Medical University, Xinxiang, ChinaXinxiang Key Laboratory of Tumor Vaccine and Immunotherapy, Institute of Precision Medicine, Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, ChinaDepartment of Pathology, Xinxiang Medical University, Xinxiang, ChinaTumor-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.https://www.frontiersin.org/articles/10.3389/fgene.2022.891270/fullCIBERSORTimmunotherapycolorectal cancerprognosisnomogram
spellingShingle Jiateng Zhong
Jiateng Zhong
Jiateng Zhong
Jiateng Zhong
Yu Qin
Yu Qin
Pei Yu
Weiyue Xia
Baoru Gu
Xinlai Qian
Yuhan Hu
Wei Su
Zheying Zhang
Zheying Zhang
The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer
Frontiers in Genetics
CIBERSORT
immunotherapy
colorectal cancer
prognosis
nomogram
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 CIBERSORT
immunotherapy
colorectal cancer
prognosis
nomogram
url https://www.frontiersin.org/articles/10.3389/fgene.2022.891270/full
work_keys_str_mv AT jiatengzhong thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT jiatengzhong thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT jiatengzhong thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT jiatengzhong thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yuqin thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yuqin thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT peiyu thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT weiyuexia thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT baorugu thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT xinlaiqian thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yuhanhu thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT weisu thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT zheyingzhang thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT zheyingzhang thelandscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT jiatengzhong landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT jiatengzhong landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT jiatengzhong landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT jiatengzhong landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yuqin landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yuqin landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT peiyu landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT weiyuexia landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT baorugu landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT xinlaiqian landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT yuhanhu landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT weisu landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT zheyingzhang landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer
AT zheyingzhang landscapeofthetumorinfiltratingimmunecellandprognosticnomogramincolorectalcancer