DataSheet1_The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer.docx

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.

结直肠癌（colorectal cancer, CRC）中，肿瘤浸润免疫细胞与患者预后及免疫治疗靶点密切相关。近期开发的CIBERSORT算法可通过高通量数据的基因表达反卷积，实现免疫细胞组分分析。本研究基于CIBERSORT算法，对GEO数据库（94例样本）与TCGA数据库（522例样本）中的结直肠癌转录组数据开展免疫细胞相对占比分析。本研究共评估了22种肿瘤浸润免疫细胞亚型。整合GEO与TCGA数据集分析后发现，初始B细胞、M2型巨噬细胞及静息肥大细胞在正常组织中高表达，而M0型巨噬细胞、M1型巨噬细胞、活化肥大细胞及中性粒细胞在肿瘤组织中高表达。此外，本研究基于肿瘤浸润免疫细胞构建了预后预测模型，该模型在训练集（5年生存率AUC=0.699）与验证集（5年生存率AUC=0.844）中均展现出优异的特异性与灵敏度，可为结直肠癌临床预后评估提供全新的参考依据。多项免疫荧光检测结果显示，其与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型巨噬细胞在肿瘤组织中高表达。综上，本研究数据表明，结直肠癌中的肿瘤浸润免疫细胞可能是影响患者预后与免疫治疗效果的关键因素。