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结直肠癌中肿瘤浸润免疫细胞景观与预后列线图

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

作者信息

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

机构信息

Department of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

出版信息

Front Genet. 2022 May 12;13:891270. doi: 10.3389/fgene.2022.891270. eCollection 2022.

DOI:10.3389/fgene.2022.891270
PMID:35646079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9133796/
Abstract

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.

摘要

肿瘤浸润免疫细胞与结直肠癌(CRC)的预后及免疫治疗靶点相关。最近开发的CIBERSORT方法可通过将高通量数据解卷积到基因表达上来进行免疫细胞分析。在本研究中,我们基于CIBERSORT方法分析了GEO(94个样本)和TCGA(522个样本)CRC数据中免疫细胞的相对比例。共评估了22种肿瘤浸润免疫细胞。结合GEO和TCGA数据发现,幼稚B细胞、M2巨噬细胞和静息肥大细胞在正常组织中高表达,而M0巨噬细胞、M1巨噬细胞、活化肥大细胞和中性粒细胞在肿瘤中高表达。此外,我们通过浸润免疫细胞构建了一个预后模型,该模型在训练集(5年生存率的AUC = 0.699)和验证集(5年生存率的AUC = 0.844)中均显示出高特异性和敏感性。这为临床预后提供了另一个依据。多重免疫荧光检测结果显示生物信息学分析结果存在差异。中性粒细胞在正常组织中高表达,M2巨噬细胞在肿瘤组织中高表达。总体而言,我们的数据表明CRC中的浸润免疫细胞可能是预后和免疫治疗的重要决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/dd2d85e97f2e/fgene-13-891270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/067e4dcc9a61/fgene-13-891270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/12f3d2974b30/fgene-13-891270-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/ef724159f24d/fgene-13-891270-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/85a17d958dee/fgene-13-891270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/bb0fd4342eb6/fgene-13-891270-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/dd2d85e97f2e/fgene-13-891270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/067e4dcc9a61/fgene-13-891270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/12f3d2974b30/fgene-13-891270-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/ef724159f24d/fgene-13-891270-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/85a17d958dee/fgene-13-891270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/bb0fd4342eb6/fgene-13-891270-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/233f/9133796/dd2d85e97f2e/fgene-13-891270-g006.jpg

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