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Gene expression and DNA methylation analyses suggest that two immune related genes are prognostic factors of colorectal cancer

机译:基因表达和DNA甲基化分析表明,两个免疫相关基因是结直肠癌的预后因素

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Colorectal cancer (CRC) is the second most prevalent cancer, as it accounts for approximately 10% of all annually diagnosed cancers. Studies have indicated that DNA methylation is involved in cancer genesis. The purpose of this study was to investigate the relationships among DNA methylation, gene expression and the tumor-immune microenvironment of CRC, and finally, to identify potential key genes related to immune cell infiltration in CRC. In the present study, we used the ChAMP and DESeq2 packages, correlation analyses, and Cox regression analyses to identify immune-related differentially expressed genes (IR-DEGs) that were correlated with aberrant methylation and to construct a risk assessment model. Finally, we found that HSPA1A expression and CCRL2 expression were positively and negatively associated with the risk score of CRC, respectively. Patients in the high-risk group were more positively correlated with some types of tumor-infiltrating immune cells, whereas they were negatively correlated with other tumor-infiltrating immune cells. After the patients were regrouped according to the median risk score, we could more effectively distinguish them based on survival outcome, clinicopathological characteristics, specific tumor-immune infiltration status and highly expressed immune-related biomarkers. This study suggested that the risk assessment model constructed by pairing immune-related differentially expressed genes correlated with aberrant DNA methylation could predict the outcome of CRC patients and might help to identify those patients who could benefit from antitumor immunotherapy.
机译:结肠直肠癌(CRC)是第二个最普遍的癌症,因为它占所有每年诊断癌症的10%。研究表明,DNA甲基化参与癌症起源。本研究的目的是研究DNA甲基化,基因表达和CRC的肿瘤 - 免疫微环境之间的关系,最后,鉴定与CRC中免疫细胞浸润有关的潜在关键基因。在本研究中,我们使用CHAMP和DESEQ2封装,相关分析和COX回归分析,以鉴定与异常甲基化相关的免疫相关差异表达基因(IR-DEG)并构建风险评估模型。最后,我们发现HSPA1A表达和CCR12表达分别与CRC的风险评分正相关。高危患者与某些类型的肿瘤渗透免疫细胞更呈正相关,而它们与其他肿瘤浸润的免疫细胞负相关。在根据中位风险评分重新组合患者后,我们可以更有效地将它们与存活结果,临床病理特征,特异性肿瘤免疫浸润状态和高表达的免疫相关生物标志物进行区分。该研究表明,通过配对免疫相关差异表达基因构建的风险评估模型与异常DNA甲基化相关的可以预测CRC患者的结果,并可能有助于识别可以从抗肿瘤免疫疗法中受益的患者。

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