Literature DB >> 24334763

DNA methyltransferase inhibition reverses epigenetically embedded phenotypes in lung cancer preferentially affecting polycomb target genes.

Antje Hascher1, Ann-Kristin Haase, Katja Hebestreit, Christian Rohde, Hans-Ulrich Klein, Maria Rius, Dominik Jungen, Anika Witten, Monika Stoll, Isabell Schulze, Seishi Ogawa, Rainer Wiewrodt, Lara Tickenbrock, Wolfgang E Berdel, Martin Dugas, Nils H Thoennissen, Carsten Müller-Tidow.   

Abstract

PURPOSE: Cancer cell phenotypes are partially determined by epigenetic specifications, such as DNA methylation. Metastasis development is a late event in cancerogenesis and might be associated with epigenetic alterations. EXPERIMENTAL
DESIGN: An in vivo selection approach was used to generate highly aggressive non-small cell lung cancer (NSCLC) cell lines (A549 and HTB56) followed by genome-wide DNA methylation analysis. Furthermore, the therapeutic effects of the epigenetic agent azacytidine on DNA methylation patterns and the in vivo phenotypes were explored.
RESULTS: Widespread changes of DNA methylation were observed during development of highly aggressive cell lines. Up to 2.5% of the CpG-rich region was differentially methylated as identified by reduced representation bisulfite sequencing compared with the less aggressive parental cell lines. DNA methyltransferase inhibition by azacytidine reversed the prometastatic phenotype; this was highly associated with the preferential loss of DNA methylation at sites that were hypermethylated during the in vivo selection. Of note, polycomb (PRC2) binding sites were particularly affected by DNA methylation changes after azacytidine exposure that persisted over time.
CONCLUSIONS: We could show that metastatic capability of NSCLC is closely associated with DNA methylome alterations. Because inhibition of DNA methyltransferase reversed metastasis-prone phenotype, epigenetic modulation seems to be a potential therapeutic approach to prevent metastasis formation. ©2013 AACR

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Year:  2013        PMID: 24334763     DOI: 10.1158/1078-0432.CCR-13-1483

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  20 in total

1.  Differential methylation analysis for bisulfite sequencing using DSS.

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Journal:  Quant Biol       Date:  2019-12-15

2.  T-cell mediated anti-tumor immunity after photodynamic therapy: why does it not always work and how can we improve it?

Authors:  Florian Anzengruber; Pinar Avci; Lucas Freitas de Freitas; Michael R Hamblin
Journal:  Photochem Photobiol Sci       Date:  2015-06-11       Impact factor: 3.982

3.  LINC00261 Is an Epigenetically Regulated Tumor Suppressor Essential for Activation of the DNA Damage Response.

Authors:  Shandy Shahabi; Vishaly Kumaran; Jonathan Castillo; Zhengmin Cong; Gopika Nandagopal; Daniel J Mullen; Alexander Alvarado; Michele Ramos Correa; Autumn Saizan; Riya Goel; Amrita Bhat; Sean K Lynch; Beiyun Zhou; Zea Borok; Crystal N Marconett
Journal:  Cancer Res       Date:  2019-02-22       Impact factor: 12.701

4.  Differential Methylation Analysis for Bisulfite Sequencing (BS-Seq) Data.

Authors:  Hao Feng; Karen Conneely; Hao Wu
Journal:  Methods Mol Biol       Date:  2022

5.  ANGPTL2/LILRB2 signaling promotes the propagation of lung cancer cells.

Authors:  Xiaoye Liu; Xiaoting Yu; Jingjing Xie; Mengna Zhan; Zhuo Yu; Li Xie; Hongxiang Zeng; Feifei Zhang; Guoqiang Chen; Xianghua Yi; Junke Zheng
Journal:  Oncotarget       Date:  2015-08-28

6.  HEDD: the human epigenetic drug database.

Authors:  Yunfeng Qi; Dadong Wang; Daying Wang; Taicheng Jin; Liping Yang; Hui Wu; Yaoyao Li; Jing Zhao; Fengping Du; Mingxia Song; Renjun Wang
Journal:  Database (Oxford)       Date:  2016-12-26       Impact factor: 3.451

Review 7.  Association of Smoking, Alcohol Use, and Betel Quid Chewing with Epigenetic Aberrations in Cancers.

Authors:  Tong-Hong Wang; Shih-Min Hsia; Yin-Hwa Shih; Tzong-Ming Shieh
Journal:  Int J Mol Sci       Date:  2017-06-06       Impact factor: 5.923

Review 8.  DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database.

Authors:  Yichun Xiong; Yanjun Wei; Yue Gu; Shumei Zhang; Jie Lyu; Bin Zhang; Chuangeng Chen; Jiang Zhu; Yihan Wang; Hongbo Liu; Yan Zhang
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

9.  KCa3.1 channel inhibition leads to an ICAM-1 dependent increase of cell-cell adhesion between A549 lung cancer and HMEC-1 endothelial cells.

Authors:  Etmar Bulk; Nadzeya Kramko; Ivan Liashkovich; Felix Glaser; Hermann Schillers; Hans-Joachim Schnittler; Hans Oberleithner; Albrecht Schwab
Journal:  Oncotarget       Date:  2017-11-28

10.  The increased expression and aberrant methylation of SHC1 in non-small cell lung cancer: Integrative analysis of clinical and bioinformatics databases.

Authors:  Yicheng Liang; Yangyang Lei; Minjun Du; Mei Liang; Zixu Liu; Xingkai Li; Yushun Gao
Journal:  J Cell Mol Med       Date:  2021-06-11       Impact factor: 5.310

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