Literature DB >> 26671036

Methylation of the Tumor Suppressor Genes HIC1 and RassF1A Clusters Independently From the Methylation of Polycomb Target Genes in Colon Cancer.

Hong-Chang Chen1, Hsuan-Yuan Huang1, Yao-Li Chen2,3, Kuan-Der Lee4,5, Yi-Ru Chu4,5,6, Ping-Yi Lin2, Chia-Chen Hsu6, Pei-Yi Chu7, Tim H-M Huang8, Shu-Huei Hsiao6, Yu-Wei Leu9.   

Abstract

BACKGROUND: Methylation changes within tumor suppressor (TS) genes or polycomb group target (PcG) genes alter cell fates. Chromatin associated with PcG targets is bivalent in stem cells, while TS genes are not normally bivalent. PcG target methylation changes have been identified in tumor stem cells, and abnormal methylation is found in TS genes in cancers. If the epigenetic states of genes influence DNA methylation, then methylation of PcG targets and TS genes may evolve differently during cancer development. More importantly, methylation changes may be part of a sequence in tumorigenesis.
METHODS: Chromatin and methylation states of 4 PcG targets and 2 TS genes were determined in colon cancer cells. The methylation states were also detected in 100 pairs of colon cancer samples. Principle component analysis (PCA) was used to reveal whether TS methylation or PcG methylation was the main methylation change associated with colon cancers.
RESULTS: Chromatin and methylation states differ in colon cancer cell lines. The methylation states within PcG targets clustered independently from the methylation states in TS genes, a finding we previously reported in liver cancers. PCA in colon cancers revealed the strongest association with methylation changes in 2 TS genes, HIC1 and RassF1A. Loss of HIC1 methylation correlated with decreased tumor migration.
CONCLUSIONS: PcG and TS methylation states cluster independently from each other. The deduced principle component correlated better with TS methylation than PcG methylation in colon cancer. Abnormal methylation changes may represent a sequential biomarker profile to identify developing colon cancer.

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Year:  2015        PMID: 26671036     DOI: 10.1245/s10434-015-5024-z

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  3 in total

1.  Identification of differentially expressed genes in cervical cancer by bioinformatics analysis.

Authors:  Yanshan Ge; Chaoyang Zhang; Songshu Xiao; Lin Liang; Shan Liao; Yanqi Xiang; Ke Cao; Hongxiang Chen; Yanhong Zhou
Journal:  Oncol Lett       Date:  2018-06-12       Impact factor: 2.967

2.  Targeting HIC1/TGF-β axis-shaped prostate cancer microenvironment restrains its progression.

Authors:  Tianqi Wu; Wenfeng Wang; Guohai Shi; Mingang Hao; Yingying Wang; Mengfei Yao; Yongqiang Huang; Leilei Du; Xingming Zhang; Dingwei Ye; Xiaojie Bian; Jianhua Wang
Journal:  Cell Death Dis       Date:  2022-07-19       Impact factor: 9.685

3.  Association between HIC1 promoter methylation and solid tumor: A meta-analysis.

Authors:  Tie Zhao; Justice Afrifa; Dong Wang; Jingcui Yu
Journal:  EXCLI J       Date:  2020-04-07       Impact factor: 4.068

  3 in total

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