ArticleEpigenetics2020
A novel CpG-methylation-based nomogram predicts survival in colorectal cancer.
Article in Epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Combining tertiary lymphoid structures and tumor stroma percentage for predicting prognosis and chemotherapy benefits in stage II-III colorectal cancer.BMC cancer · 2026Article
- The prognostic role of circulating tumour DNA detected prior to clinical diagnosis of colorectal cancer in the HUNT study.BMC cancer · 2024Observational
- Novel pretreatment nomograms based on pan-immune-inflammation value for predicting clinical outcome in patients with head and neck squamous cell carcinoma.Frontiers in oncology · 2024Article
- Single Nucleotide Polymorphisms in the Vitamin D Metabolic Pathway as Survival Biomarkers in Colorectal Cancer.Cancers · 2023Article
- Hypermethylation of tumor suppressor lncRNA MEF2C-AS1 frequently happened in patients at all stages of colorectal carcinogenesis.Clinical epigenetics · 2022Article
- Identification of Hub Gene TIMP1 and Relative ceRNAs Regulatory Network in Colorectal Cancer.Therapeutics and clinical risk management · 2021Article
- Development and Validation of the Individualized Prognostic Nomograms in Patients With Right- and Left-Sided Colon Cancer.Frontiers in oncology · 2021Article
- An Eight-CpG-based Methylation Classifier for Preoperative Discriminating Early and Advanced-Late Stage of Colorectal Cancer.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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 (
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