Literature DB >> 27436122

Comparative pan-cancer DNA methylation analysis reveals cancer common and specific patterns.

Xiaofei Yang, Lin Gao, Shihua Zhang.   

Abstract

Abnormal DNA methylation is an important epigenetic regulator involving tumorigenesis. Deciphering cancer common and specific DNA methylation patterns is essential for us to understand the mechanisms of tumor development. The Cancer Genome Atlas (TCGA) project provides a large number of samples of different cancers that enable a pan-cancer study of DNA methylation possible. Here we investigate cancer common and specific DNA methylation patterns among 5480 DNA methylation profiles of 15 cancer types from TCGA. We first define differentially methylated CpG sites (DMCs) in each cancer and then identify 5450 hyper- and 4433 hypomethylated pan-cancer DMCs (PDMCs). Intriguingly, three adjacent hypermethylated PDMC constitute an enhancer region, which potentially regulates two tumor suppressor genes BVES and PRDM1 negatively. Moreover, we identify six distinct motif clusters, which are enriched in hyper- or hypomethylated PDMCs and are associated with several well-known cancer hallmarks. We also observe that PDMCs relate to distinct transcriptional groups. Additionally, 55 hypermethylated and 7 hypomethylated PDMCs are significantly associated with patient survival. Lastly, we find that cancer-specific DMCs are enriched in known cancer genes and cell-type-specific super-enhancers. In summary, this study provides a comprehensive investigation and reveals meaningful cancer common and specific DNA methylation patterns.
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Entities:  

Keywords:  DNA-methylation; bioinformatics; cancer genomics; pan-cancer study

Mesh:

Year:  2017        PMID: 27436122     DOI: 10.1093/bib/bbw063

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  57 in total

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Authors:  Kristina M Jordahl; Amanda I Phipps; Timothy W Randolph; Hilary A Tindle; Simin Liu; Lesley F Tinker; Karl T Kelsey; Emily White; Parveen Bhatti
Journal:  Epigenetics       Date:  2019-06-23       Impact factor: 4.528

2.  Differential Network Analysis Reveals Regulatory Patterns in Neural Stem Cell Fate Decision.

Authors:  Jiang Xie; Yiting Yin; Fuzhang Yang; Jiamin Sun; Jiao Wang
Journal:  Interdiscip Sci       Date:  2021-01-13       Impact factor: 2.233

3.  Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning-based neural network.

Authors:  Xiang Zhou; Hua Chai; Huiying Zhao; Ching-Hsing Luo; Yuedong Yang
Journal:  Gigascience       Date:  2020-07-01       Impact factor: 6.524

4.  Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis.

Authors:  Wubin Ding; Geng Chen; Tieliu Shi
Journal:  Epigenetics       Date:  2019-01-29       Impact factor: 4.528

5.  Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis.

Authors:  Josephine Yates; Valentina Boeva
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

Review 6.  DNA methylation-based predictors of health: applications and statistical considerations.

Authors:  Paul D Yousefi; Matthew Suderman; Ryan Langdon; Oliver Whitehurst; George Davey Smith; Caroline L Relton
Journal:  Nat Rev Genet       Date:  2022-03-18       Impact factor: 53.242

7.  Revealing the Determinants of Widespread Alternative Splicing Perturbation in Cancer.

Authors:  Yongsheng Li; Nidhi Sahni; Rita Pancsa; Daniel J McGrail; Juan Xu; Xu Hua; Jasmin Coulombe-Huntington; Michael Ryan; Boranai Tychhon; Dhanistha Sudhakar; Limei Hu; Michael Tyers; Xiaoqian Jiang; Shiaw-Yih Lin; M Madan Babu; Song Yi
Journal:  Cell Rep       Date:  2017-10-17       Impact factor: 9.423

Review 8.  Targeting cancer epigenetics with CRISPR-dCAS9: Principles and prospects.

Authors:  Mohammad Mijanur Rahman; Trygve O Tollefsbol
Journal:  Methods       Date:  2020-04-18       Impact factor: 3.608

9.  Common DNA methylation dynamics in endometriod adenocarcinoma and glioblastoma suggest universal epigenomic alterations in tumorigenesis.

Authors:  Jennifer A Karlow; Benpeng Miao; Xiaoyun Xing; Ting Wang; Bo Zhang
Journal:  Commun Biol       Date:  2021-05-21

10.  A multi-scale integrated analysis identifies KRT8 as a pan-cancer early biomarker.

Authors:  Madeleine K D Scott; Maneesha Limaye; Steven Schaffert; Robert West; Michael G Ozawa; Pauline Chu; Viswam S Nair; Albert C Koong; Purvesh Khatri
Journal:  Pac Symp Biocomput       Date:  2021
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