Literature DB >> 28847989

Synthetic Lethality Interaction Between Aurora Kinases and CHEK1 Inhibitors in Ovarian Cancer.

Ana Alcaraz-Sanabria1, Cristina Nieto-Jiménez1, Verónica Corrales-Sánchez1, Leticia Serrano-Oviedo1, Fernando Andrés-Pretel1, Juan Carlos Montero2, Miguel Burgos3, Juan Llopis3, Eva María Galán-Moya3, Atanasio Pandiella2, Alberto Ocaña4,2,3.   

Abstract

Ovarian cancer is characterized by frequent mutations at TP53. These tumors also harbor germline mutations at homologous recombination repair genes, so they rely on DNA-damage checkpoint proteins, like the checkpoint kinase 1 (CHEK1) to induce G2 arrest. In our study, by using an in silico approach, we identified a synthetic lethality interaction between CHEK1 and mitotic aurora kinase A (AURKA) inhibitors. Gene expression analyses were used for the identification of relevant biological functions. OVCAR3, OVCAR8, IGROV1, and SKOV3 were used for proliferation studies. Alisertib was tested as AURKA inhibitor and LY2603618 as CHEK1 inhibitor. Analyses of cell cycle and intracellular mediators were performed by flow cytometry and Western blot analysis. Impact on stem cell properties was evaluated by flow cytometry analysis of surface markers and sphere formation assays. Gene expression analyses followed by functional annotation identified a series of deregulated genes that belonged to cell cycle, including AURKA/B, TTK kinase, and CHEK1. AURKA and CHEK1 were amplified in 8.7% and 3.9% of ovarian cancers, respectively. AURKA and CHEK1 inhibitors showed a synergistic interaction in different cellular models. Combination of alisertib and LY2603618 triggered apoptosis, reduced the stem cell population, and increased the effect of taxanes and platinum compounds. Finally, expression of AURKA and CHEK1 was linked with detrimental outcome in patients. Our data describe a synthetic lethality interaction between CHEK1 and AURKA inhibitors with potential translation to the clinical setting. Mol Cancer Ther; 16(11); 2552-62. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28847989     DOI: 10.1158/1535-7163.MCT-17-0223

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  21 in total

1.  A phase 1, first-in-human study of AMG 900, an orally administered pan-Aurora kinase inhibitor, in adult patients with advanced solid tumors.

Authors:  Michael Carducci; Montaser Shaheen; Ben Markman; Sara Hurvitz; Daruka Mahadevan; Dusan Kotasek; Oscar B Goodman; Erik Rasmussen; Vincent Chow; Gloria Juan; Gregory R Friberg; Erick Gamelin; Florian D Vogl; Jayesh Desai
Journal:  Invest New Drugs       Date:  2018-07-07       Impact factor: 3.850

2.  Inhibition of the Replication Stress Response Is a Synthetic Vulnerability in SCLC That Acts Synergistically in Combination with Cisplatin.

Authors:  Remco Nagel; Ana Teresa Avelar; Nanne Aben; Natalie Proost; Marieke van de Ven; Jan van der Vliet; Miranda Cozijnsen; Hilda de Vries; Lodewyk F A Wessels; Anton Berns
Journal:  Mol Cancer Ther       Date:  2019-03-14       Impact factor: 6.261

Review 3.  Regulated cell death (RCD) in cancer: key pathways and targeted therapies.

Authors:  Fu Peng; Minru Liao; Rui Qin; Shiou Zhu; Cheng Peng; Leilei Fu; Yi Chen; Bo Han
Journal:  Signal Transduct Target Ther       Date:  2022-08-13

4.  mRNAsi Index: Machine Learning in Mining Lung Adenocarcinoma Stem Cell Biomarkers.

Authors:  Yitong Zhang; Joseph Ta-Chien Tseng; I-Chia Lien; Fenglan Li; Wei Wu; Hui Li
Journal:  Genes (Basel)       Date:  2020-02-27       Impact factor: 4.096

5.  Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.

Authors:  Li Wang; Jialin Qu; Yu Liang; Deze Zhao; Faisal Ul Rehman; Kang Qin; Xiaochun Zhang
Journal:  Thorac Cancer       Date:  2020-02-14       Impact factor: 3.500

Review 6.  Aurora kinase A, a synthetic lethal target for precision cancer medicine.

Authors:  Pui Kei Mou; Eun Ju Yang; Changxiang Shi; Guowen Ren; Shishi Tao; Joong Sup Shim
Journal:  Exp Mol Med       Date:  2021-05-28       Impact factor: 8.718

7.  Construction of a Competitive Endogenous RNA Network for Pancreatic Adenocarcinoma Based on Weighted Gene Co-expression Network Analysis and a Prognosis Model.

Authors:  Jing Wang; Jinzhu Xiang; Xueling Li
Journal:  Front Bioeng Biotechnol       Date:  2020-05-28

8.  Inhibition of miR-1193 leads to synthetic lethality in glioblastoma multiforme cells deficient of DNA-PKcs.

Authors:  Jing Zhang; Li Jing; Subee Tan; Er-Ming Zeng; Yingbo Lin; Lingfeng He; Zhigang Hu; Jianping Liu; Zhigang Guo
Journal:  Cell Death Dis       Date:  2020-07-30       Impact factor: 8.469

9.  Long non-coding RNA LINC00485 acts as a microRNA-195 sponge to regulate the chemotherapy sensitivity of lung adenocarcinoma cells to cisplatin by regulating CHEK1.

Authors:  Wei Zuo; Wei Zhang; Fei Xu; Jing Zhou; Wei Bai
Journal:  Cancer Cell Int       Date:  2019-09-12       Impact factor: 5.722

10.  Silencing Long Non-coding RNA LINC01224 Inhibits Hepatocellular Carcinoma Progression via MicroRNA-330-5p-Induced Inhibition of CHEK1.

Authors:  Dan Gong; Peng-Cheng Feng; Xing-Fei Ke; Hui-Lan Kuang; Li-Li Pan; Qiang Ye; Jian-Bing Wu
Journal:  Mol Ther Nucleic Acids       Date:  2019-10-17       Impact factor: 8.886

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