Liu Jiahua, Jiang Chunhui, Xu Chunjie, Wang Dongyang, Shen Yuguang, Liu Ye, Gu Lei
Department of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Cancer Cell Int. 2021 Feb 12;21(1):101. doi: 10.1186/s12935-021-01795-1.
The overall survival of metastatic colon adenocarcinoma (COAD) remains poor, so it is important to explore the mechanisms of metastasis and invasion. This study aimed to identify invasion-related genetic markers for prognosis prediction in patients with COAD. Three molecular subtypes (C1, C2, and C3) were obtained based on 97 metastasis-related genes in 365 COAD samples from The Cancer Genome Atlas (TCGA). A total of 983 differentially expressed genes (DEGs) were identified among the different subtypes by using the limma package. A 6-gene signature (ITLN1, HOXD9, TSPAN11, GPRC5B, TIMP1, and CXCL13) was constructed via Lasso-Cox analysis. The signature showed strong robustness and could be used in the training, testing, and external validation (GSE17537) cohorts with stable predictive efficiency. Compared with other published signatures, our model showed better performance in predicting outcomes. Pan-cancer expression analysis results showed that ITLN1, TSPAN11, CXCL13, and GPRC5B were downregulated and TIMP1 was upregulated in most tumor samples, including COAD, which was consistent with the results of the TCGA and GEO cohorts. Western blot analysis and immunohistochemistry were performed to validate protein expression. Tumor immune infiltration analysis results showed that TSPAN11, GPRC5B, TIMP1, and CXCL13 protein levels were significantly positively correlated with CD4+ T cells, macrophages, neutrophils, and dendritic cells. Further, the TIMP1 and CXCL13 proteins were significantly related to the tumor immune infiltration of CD8+ T cells. We recommend using our signature as a molecular prognostic classifier to assess the prognostic risk of patients with COAD.
转移性结肠腺癌(COAD)患者的总体生存率仍然很低,因此探索其转移和侵袭机制具有重要意义。本研究旨在识别与侵袭相关的基因标志物,用于预测COAD患者的预后。基于来自癌症基因组图谱(TCGA)的365个COAD样本中的97个转移相关基因,获得了三种分子亚型(C1、C2和C3)。使用limma软件包在不同亚型中总共鉴定出983个差异表达基因(DEG)。通过Lasso-Cox分析构建了一个6基因特征(ITLN1、HOXD9、TSPAN11、GPRC5B、TIMP1和CXCL13)。该特征具有很强的稳健性,可用于训练、测试和外部验证(GSE17537)队列,预测效率稳定。与其他已发表的特征相比,我们的模型在预测结果方面表现更好。泛癌表达分析结果显示,在包括COAD在内的大多数肿瘤样本中,ITLN1、TSPAN11、CXCL13和GPRC5B表达下调,TIMP1表达上调,这与TCGA和GEO队列的结果一致。进行了蛋白质印迹分析和免疫组织化学以验证蛋白质表达。肿瘤免疫浸润分析结果显示,TSPAN11、GPRC5B、TIMP1和CXCL13蛋白水平与CD4+T细胞、巨噬细胞、中性粒细胞和树突状细胞显著正相关。此外,TIMP1和CXCL13蛋白与CD8+T细胞的肿瘤免疫浸润显著相关。我们建议使用我们的特征作为分子预后分类器,以评估COAD患者的预后风险。