Literature DB >> 34184409

A methylation-driven gene panel predicts survival in patients with colon cancer.

Yaojun Peng1,2, Jing Zhao3, Fan Yin4, Gaowa Sharen5, Qiyan Wu6, Qi Chen7, Xiaoxuan Sun8,9, Juan Yang10, Huan Wang3, Dong Zhang4.   

Abstract

The accumulation of various genetic and epigenetic changes in colonic epithelial cells has been identified as one of the fundamental processes that drive the initiation and progression of colorectal cancer (CRC). This study aimed to explore functional genes regulated by DNA methylation and their potential utilization as biomarkers for the prediction of CRC prognoses. Methylation-driven genes (MDGs) were explored by applying the integrative analysis tool (methylmix) to The Cancer Genome Atlas CRC project. The prognostic MDG panel was identified by combining the Cox regression model with the least absolute shrinkage and selection operator regularization. Gene set enrichment analysis was used to determine the pathways associated with the six-MDG panel. Cluster of differentiation 40 (CD40) expression and methylation in CRC samples were validated by using additional datasets from the Gene Expression Omnibus. Methylation-specific PCR and bisulfite sequencing were used to confirm DNA methylation in CRC cell lines. A prognostic MDG panel consisting of six gene members was identified: TMEM88, HOXB2, FGD1, TOGARAM1, ARHGDIB and CD40. The high-risk phenotype classified by the six-MDG panel was associated with cancer-related biological processes, including invasion and metastasis, angiogenesis and the tumor immune microenvironment. The prognostic value of the six-MDG panel was found to be independent of tumor node metastasis stage and, in combination with tumor node metastasis stage and age, could help improve survival prediction. In addition, the expression of CD40 was confirmed to be regulated by promoter region methylation in CRC samples and cell lines. The proposed six-MDG panel represents a promising signature for estimating the prognosis of patients with CRC.
© 2021 The Authors. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.

Entities:  

Keywords:  DNA methylation; TCGA; colon cancer; epigenetics; integrative analyses; prognosis

Mesh:

Substances:

Year:  2021        PMID: 34184409      PMCID: PMC8409306          DOI: 10.1002/2211-5463.13242

Source DB:  PubMed          Journal:  FEBS Open Bio        ISSN: 2211-5463            Impact factor:   2.693


  66 in total

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Authors:  Sandra Van Schaeybroeck; Wendy L Allen; Richard C Turkington; Patrick G Johnston
Journal:  Nat Rev Clin Oncol       Date:  2011-02-15       Impact factor: 66.675

Review 2.  CD40-CD40 ligand.

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Review 3.  Accumulation of aberrant DNA methylation during colorectal cancer development.

Authors:  Eiji Sakai; Atsushi Nakajima; Atsushi Kaneda
Journal:  World J Gastroenterol       Date:  2014-01-28       Impact factor: 5.742

4.  Candidate DNA methylation drivers of acquired cisplatin resistance in ovarian cancer identified by methylome and expression profiling.

Authors:  C Zeller; W Dai; N L Steele; A Siddiq; A J Walley; C S M Wilhelm-Benartzi; S Rizzo; A van der Zee; J A Plumb; R Brown
Journal:  Oncogene       Date:  2012-01-16       Impact factor: 9.867

Review 5.  Prognostic value of CpG island methylator phenotype among colorectal cancer patients: a systematic review and meta-analysis.

Authors:  Y Y Juo; F M Johnston; D Y Zhang; H H Juo; H Wang; E P Pappou; T Yu; H Easwaran; S Baylin; M van Engeland; N Ahuja
Journal:  Ann Oncol       Date:  2014-04-08       Impact factor: 32.976

Review 6.  Genetic and epigenetic biomarkers for diagnosis, prognosis and treatment of colorectal cancer.

Authors:  Fabio Coppedè; Angela Lopomo; Roberto Spisni; Lucia Migliore
Journal:  World J Gastroenterol       Date:  2014-01-28       Impact factor: 5.742

7.  Reduced expression of metastasis suppressor RhoGDI2 is associated with decreased survival for patients with bladder cancer.

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Journal:  Clin Cancer Res       Date:  2004-06-01       Impact factor: 12.531

8.  Pancancer analysis of DNA methylation-driven genes using MethylMix.

Authors:  Olivier Gevaert; Robert Tibshirani; Sylvia K Plevritis
Journal:  Genome Biol       Date:  2015-01-29       Impact factor: 13.583

9.  A six-gene prognostic model predicts overall survival in bladder cancer patients.

Authors:  Liwei Wang; Jiazhong Shi; Yaqin Huang; Sha Liu; Jingqi Zhang; Hua Ding; Jin Yang; Zhiwen Chen
Journal:  Cancer Cell Int       Date:  2019-09-05       Impact factor: 5.722

10.  An integrated lncRNA, microRNA and mRNA signature to improve prognosis prediction of colorectal cancer.

Authors:  Yongfu Xiong; Rong Wang; Linglong Peng; Wenxian You; Jinlai Wei; Shouru Zhang; Xingye Wu; Jinbao Guo; Jun Xu; Zhenbing Lv; Zhongxue Fu
Journal:  Oncotarget       Date:  2017-08-07
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