Heterogeneity in patients with colorectal cancer (CRC) leads to different strategies in clinical decision making. Identifying distinctive subgroups in patients contributes to develop more individualized treatments. This study constructed a novel prediction model for the prognosis of CRC patients based on the value of risk score combining the expression status of immune-related genes and coefficients. In this study, we built an interactive network of prognosis-related immune genes and transcription factors and adopted several methods to verify the accuracy of model. Moreover, we assessed the correlation between risk score and immune infiltration. The results suggested that the model was well fit and the risk score could be an independent predictive factor for CRC patients. This model has high application value in the clinic.

中文翻译：

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结直肠癌患者风险状况评估：基于免疫相关基因的新型预测模型。

结直肠癌（CRC）患者的异质性导致临床决策的不同策略。确定患者的独特亚组有助于开发更多的个体化治疗方法。这项研究基于风险评分的价值，结合免疫相关基因的表达状态和系数，构建了一种新型的CRC患者预后预测模型。在这项研究中，我们建立了一个与预后相关的免疫基因和转录因子的互动网络，并采用了几种方法来验证模型的准确性。此外，我们评估了风险评分与免疫浸润之间的相关性。结果表明该模型非常合适，风险评分可能是CRC患者的独立预测因素。该模型在临床上具有较高的应用价值。