Literature DB >> 33051252

Epigenetic Inactivation of α-Internexin Accelerates Microtubule Polymerization in Colorectal Cancer.

Yingjie Li1, Liangliang Bai1, Huichuan Yu1, Du Cai1, Xiaolin Wang1, Baoyuan Huang1, Shaoyong Peng1, Meijin Huang1,2, Guangwen Cao3, Andrew M Kaz4,5,6, William M Grady4,6, Jianping Wang1,2, Yanxin Luo7,2.   

Abstract

DNA methylation contributes to malignant transformation, but little is known about how the methylation drives colorectal cancer evolution at the early stages. Here we identify aberrant INA (α-internexin) gene methylation in colon adenoma and adenocarcinoma by filtering data obtained from a genome-wide screen of methylated genes. The gene encoding INA, a type IV intermediate filament, was frequently hypermethylated in CpG islands located in the promoter region. This hypermethylation preferentially occurred in large tumors and was a prognostic marker for poor overall survival in patients with colorectal cancer. This type of epigenetic alteration silenced INA expression in both adenoma and adenocarcinoma tissues. Gene silencing of INA in colorectal cancer cells increased cell proliferation, migration, and invasion. Restored INA expression blocked migration and invasion in vitro and reduced lung metastasis in vivo. Mechanistically, INA directly inhibited microtubule polymerization in vitro and decreased intracellular microtubule plus-end assembly rates. A peptide array screen surveying the tubulin-binding sites in INA identified a tubulin-binding motif located in the N-terminal head domain that plays a tumor-suppressive role by binding to unpolymerized tubulins and impeding microtubule polymerization. Thus, epigenetic inactivation of INA is an intermediate filament reorganization event that is essential to accelerate microtubule polymerization in the early stages of colorectal cancer. SIGNIFICANCE: This work provides insight into the epigenetic inactivation of INA, a novel identified tumor suppressor, which increases microtubule polymerization during colorectal cancer progression. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33051252     DOI: 10.1158/0008-5472.CAN-20-1590

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  7 in total

1.  Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model.

Authors:  Hu Song; Chengwei Ruan; Yixin Xu; Teng Xu; Ruizhi Fan; Tao Jiang; Meng Cao; Jun Song
Journal:  Exp Biol Med (Maywood)       Date:  2021-12-14

2.  DNA methylation-based signature of CD8+ tumor-infiltrating lymphocytes enables evaluation of immune response and prognosis in colorectal cancer.

Authors:  Qi Zou; Xiaolin Wang; Donglin Ren; Huichuan Yu; Yanxin Luo; Bang Hu; Guannan Tang; Yu Zhang; Meijin Huang; Rish K Pai; Daniel D Buchanan; Aung Ko Win; Polly A Newcomb; William M Grady
Journal:  J Immunother Cancer       Date:  2021-09       Impact factor: 12.469

3.  Development and Validation of a Radiosensitivity Prediction Model for Lower Grade Glioma Based on Spike-and-Slab Lasso.

Authors:  Zixuan Du; Shang Cai; Derui Yan; Huijun Li; Xinyan Zhang; Wei Yang; Jianping Cao; Nengjun Yi; Zaixiang Tang
Journal:  Front Oncol       Date:  2021-07-30       Impact factor: 6.244

4.  DNA Methylation in INA, NHLH2, and THBS4 Is Associated with Metastatic Disease in Renal Cell Carcinoma.

Authors:  Olga Katzendorn; Inga Peters; Natalia Dubrowinskaja; Joana M Moog; Christel Reese; Hossein Tezval; Pouriya Faraj Tabrizi; Jörg Hennenlotter; Marcel Lafos; Markus A Kuczyk; Jürgen Serth
Journal:  Cancers (Basel)       Date:  2021-12-22       Impact factor: 6.639

5.  Hypermethylation of tumor suppressor lncRNA MEF2C-AS1 frequently happened in patients at all stages of colorectal carcinogenesis.

Authors:  Sangni Qian; Shujuan Lin; Xin Xu; Mingjuan Jin; Kun Chen; Hao Bai; Aibuta Yeerken; Xiaojiang Ying; Zhenjun Li; Xinglin Fei; Jinhua Yang; Mengling Tang; Jianbing Wang
Journal:  Clin Epigenetics       Date:  2022-09-05       Impact factor: 7.259

6.  Single-cell and WGCNA uncover a prognostic model and potential oncogenes in colorectal cancer.

Authors:  Ziyang Di; Sicheng Zhou; Gaoran Xu; Lian Ren; Chengxin Li; Zheyu Ding; Kaixin Huang; Leilei Liang; Yihang Yuan
Journal:  Biol Proced Online       Date:  2022-09-19       Impact factor: 7.717

Review 7.  The Anticancer Potential of Maslinic Acid and Its Derivatives: A Review.

Authors:  Lei Yu; Xiaofang Xie; Xiaoyu Cao; Junren Chen; Guanru Chen; Yan Chen; Gangmin Li; Junyuan Qin; Fu Peng; Cheng Peng
Journal:  Drug Des Devel Ther       Date:  2021-09-09       Impact factor: 4.162

  7 in total

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