ArticleScientific reports2015
Developmental genes significantly afflicted by aberrant promoter methylation and somatic mutation predict overall survival of late-stage colorectal cancer.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- RPMB predicts the disease-free survival of head-and-neck squamous carcinoma after adjuvant concurrent radio-chemotherapy.Frontiers in genetics · 2025Article
- Prediction of disease-free survival of N1/2 non-small cell lung cancer after adjuvant chemotherapy by the biomarker RPMB.Heliyon · 2023Article
- Low RPMB indicates better disease-free survival of adjuvant radiotherapy after radical surgery in thymoma.American journal of translational research · 2023Article
- High RPMB predicts poor disease-free survival of male N1 papillary thyroid cancer after adjuvant radioiodine therapy.Heliyon · 2022Article
- Fertilization, Oocyte Activation, Calcium Release and Epigenetic Remodelling: Lessons From Cancer Models.Frontiers in cell and developmental biology · 2022Article
- ER expression associates with poor prognosis in male lung squamous carcinoma after radical resection.BMC cancer · 2021Article
- Electrochemically detecting DNA methylation in the EN1 gene promoter: implications for understanding ageing and disease.Bioscience reports · 2020Article
- Promoter Methylation of DNA Repair Genes Predicts Disease-free Survival of Gastric Adenocarcinoma after Adjuvant Radiotherapy.Molecular therapy oncolytics · 2020Article
- Expression Differentiation Is Not Helpful in Identifying Prognostic Genes Based on TCGA Datasets.Molecular therapy. Nucleic acids · 2018Article
- Comprehensive analysis of copy number aberrations in microsatellite stable colon cancer in view of stromal component.British journal of cancer · 2017Article
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Authors and funding
5 authors.
Funding
Abstract
Carcinogenesis is an exceedingly complicated process, which involves multi-level dysregulations, including genomics (majorly caused by somatic mutation and copy number variation), DNA methylomics, and transcriptomics. Therefore, only looking into one molecular level of cancer is not sufficient to uncover the intricate underlying mechanisms. With the abundant resources of public available data in the Cancer Genome Atlas (TCGA) database, an integrative strategy was conducted to systematically analyze the aberrant patterns of colorectal cancer on the basis of DNA copy number, promoter methylation, somatic mutation and gene expression. In this study, paired samples in each genomic level were retrieved to identify differentially expressed genes with corresponding genetic or epigenetic dysregulations. Notably, the result of gene ontology enrichment analysis indicated that the differentially expressed genes with corresponding aberrant promoter methylation or somatic mutation were both functionally concentrated upon developmental process, suggesting the intimate association between development and carcinogenesis. Thus, by means of random walk with restart, 37 significant development-related genes were retrieved from a priori-knowledge based biological network. In five independent microarray datasets, Kaplan-Meier survival and Cox regression analyses both confirmed that the expression of these genes was significantly associated with overall survival of Stage III/IV colorectal cancer patients.
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