Literature DB >> 32396412

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

Xiaokang Wang1, Danwen Wang2, Jinfeng Liu1, Maohui Feng2, Xiongzhi Wu1,3.   

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 (P < 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; P < 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; P < 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.

Entities:  

Keywords:  DNA methylation; colorectal cancer; nomogram; prognosis; survival analysis

Year:  2020        PMID: 32396412      PMCID: PMC7595584          DOI: 10.1080/15592294.2020.1762368

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  36 in total

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8.  A CpG-methylation-based assay to predict survival in clear cell renal cell carcinoma.

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9.  A four-methylated mRNA signature-based risk score system predicts survival in patients with hepatocellular carcinoma.

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10.  Genome-wide DNA methylation profiling reveals novel epigenetically regulated genes and non-coding RNAs in human testicular cancer.

Authors:  H H Cheung; T L Lee; A J Davis; D H Taft; O M Rennert; W Y Chan
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