AUTHOR=Zhong Jiateng , Qin Yu , Yu Pei , Xia Weiyue , Gu Baoru , Qian Xinlai , Hu Yuhan , Su Wei , Zhang Zheying 

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

JOURNAL=Frontiers in Genetics

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.891270

DOI=10.3389/fgene.2022.891270

ISSN=1664-8021

ABSTRACT=Tumor-infltrating 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 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 suvival=0.699) and validation (AUC of 5 year suvival=0.844) sets. This provides another basis of 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 was highly expressed in tumor tissues. Collectively, our data suggest that infiltrating immune cells in CRC may be an important determinant of prognosis and immunotherapy.