Cancer Hospital, Second Affiliated Hospital of Zunyi Medical University, Zunyi City, 563000, Guizhou Province, China.
Department of Pathology, Second Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, China.
BMC Cancer. 2020 Nov 9;20(1):1071. doi: 10.1186/s12885-020-07532-7.
Colon cancer is the most common type of gastrointestinal cancer and has high morbidity and mortality. Colon adenocarcinoma (COAD) is the main pathological type of colon cancer, and much evidence has supported the correlation between the prognosis of COAD and the immune system. The current study aimed to develop a robust prognostic immune-related gene pair (IRGP) model to estimate the overall survival of patients with COAD.
The gene expression profiles and clinical information of patients with colon adenocarcinoma were obtained from the TCGA and GEO databases and were divided into training and validation cohorts. Immune genes were selected that showed a significant association with prognosis.
Among 1647 immune genes, a model with 17 IRGPs was built that was significantly associated with OS in the training cohort. In the training and validation datasets, the IRGP model divided patients into the high-risk group and low-risk group, and the prognosis of the high-risk group was significantly worse (P<0.001). Univariate and multivariate Cox proportional hazard analyses confirmed the feasibility of this model. Functional analysis confirmed that multiple tumor progression and stem cell growth-related pathways were upregulated in the high-risk groups. Regulatory T cells and macrophages M0 were significantly highly expressed in the high-risk group.
We successfully constructed an IRGP model that can predict the prognosis of COAD, providing new insights into the treatment strategy of COAD.
结肠癌是最常见的胃肠道癌症之一，具有较高的发病率和死亡率。结肠腺癌（COAD）是结肠癌的主要病理类型，大量证据表明 COAD 的预后与免疫系统密切相关。本研究旨在建立一个稳健的预后免疫相关基因对（IRGP）模型，以评估 COAD 患者的总生存率。
从 TCGA 和 GEO 数据库中获取 COAD 患者的基因表达谱和临床信息，并将其分为训练集和验证集。选择与预后显著相关的免疫基因。
在 1647 个免疫基因中，构建了一个包含 17 个 IRGPs 的模型，该模型与训练队列中的 OS 显著相关。在训练和验证数据集，IRGP 模型将患者分为高危组和低危组，高危组的预后明显更差（P<0.001）。单因素和多因素 Cox 比例风险分析证实了该模型的可行性。功能分析证实，高危组中多个肿瘤进展和干细胞生长相关途径上调。在高危组中，调节性 T 细胞和 M0 巨噬细胞的表达显著升高。
我们成功构建了一个可以预测 COAD 预后的 IRGP 模型，为 COAD 的治疗策略提供了新的见解。
