Literature DB >> 35771632

CHD1 Promotes Sensitivity to Aurora Kinase Inhibitors by Suppressing Interaction of AURKA with Its Coactivator TPX2.

Haoyan Li1, Yin Wang1, Kevin Lin2, Varadha Balaji Venkadakrishnan3, Martin Bakht3, Wei Shi1, Chenling Meng1, Jie Zhang1, Kaitlyn Tremble1,4, Xin Liang5, Jian H Song5, Xu Feng1, Vivien Van6, Pingna Deng7, Jared K Burks8, Ana Aparicio5, Khandan Keyomarsi1, Junjie Chen1, Yue Lu2, Himisha Beltran3, Di Zhao1.   

Abstract

Clinical studies have shown that subsets of patients with cancer achieve a significant benefit from Aurora kinase inhibitors, suggesting an urgent need to identify biomarkers for predicting drug response. Chromodomain helicase DNA binding protein 1 (CHD1) is involved in chromatin remodeling, DNA repair, and transcriptional plasticity. Prior studies have demonstrated that CHD1 has distinct expression patterns in cancers with different molecular features, but its impact on drug responsiveness remains understudied. Here, we show that CHD1 promotes the susceptibility of prostate cancer cells to inhibitors targeting Aurora kinases, while depletion of CHD1 impairs their efficacy in vitro and in vivo. Pan-cancer drug sensitivity analyses revealed that high expression of CHD1 was associated with increased sensitivity to Aurora kinase A (AURKA) inhibitors. Mechanistically, KPNA2 served as a direct target of CHD1 and suppressed the interaction of AURKA with the coactivator TPX2, thereby rendering cancer cells more vulnerable to AURKA inhibitors. Consistent with previous research reporting that loss of PTEN elevates CHD1 levels, studies in a genetically engineered mouse model, patient-derived organoids, and patient samples showed that PTEN defects are associated with a better response to AURKA inhibition in advanced prostate cancer. These observations demonstrate that CHD1 plays an important role in modulating Aurora kinases and drug sensitivities, providing new insights into biomarker-driven therapies targeting Aurora kinases for future clinical studies. SIGNIFICANCE: CHD1 plays a critical role in controlling AURKA activation and promoting Aurora kinase inhibitor sensitivity, providing a potential clinical biomarker to guide cancer treatment. ©2022 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35771632      PMCID: PMC9444962          DOI: 10.1158/0008-5472.CAN-22-0631

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   13.312


  58 in total

1.  Activation of Aurora-A kinase by protein partner binding and phosphorylation are independent and synergistic.

Authors:  Charlotte A Dodson; Richard Bayliss
Journal:  J Biol Chem       Date:  2011-11-16       Impact factor: 5.157

2.  SMAD4-dependent barrier constrains prostate cancer growth and metastatic progression.

Authors:  Zhihu Ding; Chang-Jiun Wu; Gerald C Chu; Yonghong Xiao; Dennis Ho; Jingfang Zhang; Samuel R Perry; Emma S Labrot; Xiaoqiu Wu; Rosina Lis; Yujin Hoshida; David Hiller; Baoli Hu; Shan Jiang; Hongwu Zheng; Alexander H Stegh; Kenneth L Scott; Sabina Signoretti; Nabeel Bardeesy; Y Alan Wang; David E Hill; Todd R Golub; Meir J Stampfer; Wing H Wong; Massimo Loda; Lorelei Mucci; Lynda Chin; Ronald A DePinho
Journal:  Nature       Date:  2011-02-02       Impact factor: 49.962

Review 3.  Switching Aurora-A kinase on and off at an allosteric site.

Authors:  Richard Bayliss; Selena G Burgess; Patrick J McIntyre
Journal:  FEBS J       Date:  2017-04-18       Impact factor: 5.542

4.  A novel Aurora-A kinase inhibitor MLN8237 induces cytotoxicity and cell-cycle arrest in multiple myeloma.

Authors:  Güllü Görgün; Elisabetta Calabrese; Teru Hideshima; Jeffrey Ecsedy; Giulia Perrone; Mala Mani; Hiroshi Ikeda; Giada Bianchi; Yiguo Hu; Diana Cirstea; Loredana Santo; Yu-Tzu Tai; Sabikun Nahar; Mei Zheng; Madhavi Bandi; Ruben D Carrasco; Noopur Raje; Nikhil Munshi; Paul Richardson; Kenneth C Anderson
Journal:  Blood       Date:  2010-04-09       Impact factor: 22.113

5.  Drosophila Aurora-A is required for centrosome maturation and actin-dependent asymmetric protein localization during mitosis.

Authors:  Daniela Berdnik; Juergen A Knoblich
Journal:  Curr Biol       Date:  2002-04-16       Impact factor: 10.834

6.  Differential expression analysis for sequence count data.

Authors:  Simon Anders; Wolfgang Huber
Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

7.  The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Authors:  Jordi Barretina; Giordano Caponigro; Nicolas Stransky; Kavitha Venkatesan; Adam A Margolin; Sungjoon Kim; Christopher J Wilson; Joseph Lehár; Gregory V Kryukov; Dmitriy Sonkin; Anupama Reddy; Manway Liu; Lauren Murray; Michael F Berger; John E Monahan; Paula Morais; Jodi Meltzer; Adam Korejwa; Judit Jané-Valbuena; Felipa A Mapa; Joseph Thibault; Eva Bric-Furlong; Pichai Raman; Aaron Shipway; Ingo H Engels; Jill Cheng; Guoying K Yu; Jianjun Yu; Peter Aspesi; Melanie de Silva; Kalpana Jagtap; Michael D Jones; Li Wang; Charles Hatton; Emanuele Palescandolo; Supriya Gupta; Scott Mahan; Carrie Sougnez; Robert C Onofrio; Ted Liefeld; Laura MacConaill; Wendy Winckler; Michael Reich; Nanxin Li; Jill P Mesirov; Stacey B Gabriel; Gad Getz; Kristin Ardlie; Vivien Chan; Vic E Myer; Barbara L Weber; Jeff Porter; Markus Warmuth; Peter Finan; Jennifer L Harris; Matthew Meyerson; Todd R Golub; Michael P Morrissey; William R Sellers; Robert Schlegel; Levi A Garraway
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

8.  Systematic identification of genomic markers of drug sensitivity in cancer cells.

Authors:  Mathew J Garnett; Elena J Edelman; Sonja J Heidorn; Chris D Greenman; Anahita Dastur; King Wai Lau; Patricia Greninger; I Richard Thompson; Xi Luo; Jorge Soares; Qingsong Liu; Francesco Iorio; Didier Surdez; Li Chen; Randy J Milano; Graham R Bignell; Ah T Tam; Helen Davies; Jesse A Stevenson; Syd Barthorpe; Stephen R Lutz; Fiona Kogera; Karl Lawrence; Anne McLaren-Douglas; Xeni Mitropoulos; Tatiana Mironenko; Helen Thi; Laura Richardson; Wenjun Zhou; Frances Jewitt; Tinghu Zhang; Patrick O'Brien; Jessica L Boisvert; Stacey Price; Wooyoung Hur; Wanjuan Yang; Xianming Deng; Adam Butler; Hwan Geun Choi; Jae Won Chang; Jose Baselga; Ivan Stamenkovic; Jeffrey A Engelman; Sreenath V Sharma; Olivier Delattre; Julio Saez-Rodriguez; Nathanael S Gray; Jeffrey Settleman; P Andrew Futreal; Daniel A Haber; Michael R Stratton; Sridhar Ramaswamy; Ultan McDermott; Cyril H Benes
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

9.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

10.  Interaction of spindle assembly factor TPX2 with importins-α/β inhibit protein phase separation.

Authors:  Mohammad S Safari; Matthew R King; Clifford P Brangwynne; Sabine Petry
Journal:  J Biol Chem       Date:  2021-07-21       Impact factor: 5.157

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.