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一种基于新型 CpG 甲基化的列线图预测结直肠癌患者的生存情况。

A novel CpG-methylation-based nomogram predicts survival in colorectal cancer.

机构信息

Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital , Tianjin, China.

Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Clinical Medical Research Center of Peritoneal Cancer of Wuhan, Key Laboratory of Tumor Biological Behavior of Hubei Province, Clinical Cancer Study Center of Hubei Province , Wuhan, China.

出版信息

Epigenetics. 2020 Nov;15(11):1213-1227. doi: 10.1080/15592294.2020.1762368. Epub 2020 May 12.

Abstract

Aberrant DNA methylation is significantly associated with the prognosis of patients with colorectal cancer (CRC). Therefore, the aim of this study was to develop a CpG-methylation-based nomogram for prognostic prediction in CRC. First, 378 CRC patients with methylation data from The Cancer Genome Atlas were randomly divided into training cohort (n = 249) and test cohort (n = 129). A multistep screening strategy was performed to identify six CpG sites that were significantly associated with overall survival in the training cohort. Then, Cox regression modelling was performed to construct a prognostic signature based on the candidate CpG sites. The six-CpG signature successfully separated patients into high-risk and low-risk groups in both training and test cohorts, and its performance was superior to that of previously published methylation markers ( < 0.05). Furthermore, we established a prognostic nomogram incorporating this signature, TNM stage, and age. The nomogram exhibited better prediction for overall survival in comparison with the three independent prognostic factors in the training cohort (C-index: 0.798 vs 0.620 to 0.737; < 0.001). In the test cohort, the performance of nomogram was also superior to that of the three independent prognostic factors (C-index: 0.715 vs 0.590 to 0.665; < 0.05). Meanwhile, the calibration curves for survival probability showed good agreement between prediction by nomogram and actual observation in both training and test cohorts. Together, the present study provides a novel CpG-methylation-based nomogram as a promising predictor for overall survival of CRC patients, which may help improve decision-making regarding the personalized treatments of patients with CRC.

摘要

异常的 DNA 甲基化与结直肠癌(CRC)患者的预后显著相关。因此,本研究旨在开发基于 CpG 甲基化的 CRC 预后预测列线图。首先,从癌症基因组图谱中随机选取了 378 名具有甲基化数据的 CRC 患者,将其分为训练队列(n=249)和测试队列(n=129)。采用多步筛选策略,在训练队列中鉴定出与总生存期显著相关的 6 个 CpG 位点。然后,基于候选 CpG 位点进行 Cox 回归建模,构建预后签名。该 6-CpG 签名在训练和测试队列中均成功地将患者分为高风险和低风险组,其性能优于之前发表的甲基化标志物( < 0.05)。此外,我们建立了一个包含该签名、TNM 分期和年龄的预后列线图。与训练队列中的三个独立预后因素相比,该列线图对总生存期的预测表现更好(C 指数:0.798 比 0.620 至 0.737; < 0.001)。在测试队列中,该列线图的性能也优于三个独立的预后因素(C 指数:0.715 比 0.590 至 0.665; < 0.05)。同时,在训练和测试队列中,生存概率的校准曲线显示列线图预测与实际观察之间具有良好的一致性。综上所述,本研究提供了一种新的基于 CpG 甲基化的列线图,作为 CRC 患者总生存期的有前途的预测指标,可能有助于改善 CRC 患者个体化治疗的决策。

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