Genetic Interaction-Based Biomarkers Identification for Drug Resistance and Sensitivity in Cancer Cells

Cancer cells generally harbor hundreds of alterations in the cancer genomes and act as crucial factors in the development and progression of cancer. Gene alterations in the cancer genome form genetic interactions, which affect the response of patients to drugs. We developed an algorithm that mines c...

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Main Authors: Yue Han (Author), Chengyu Wang (Author), Qi Dong (Author), Tingting Chen (Author), Fan Yang (Author), Yaoyao Liu (Author), Bo Chen (Author), Zhangxiang Zhao (Author), Lishuang Qi (Author), Wenyuan Zhao (Author), Haihai Liang (Author), Zheng Guo (Author), Yunyan Gu (Author)
Format: Book
Published: Elsevier, 2019-09-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Yue Han  |e author 
700 1 0 |a Chengyu Wang  |e author 
700 1 0 |a Qi Dong  |e author 
700 1 0 |a Tingting Chen  |e author 
700 1 0 |a Fan Yang  |e author 
700 1 0 |a Yaoyao Liu  |e author 
700 1 0 |a Bo Chen  |e author 
700 1 0 |a Zhangxiang Zhao  |e author 
700 1 0 |a Lishuang Qi  |e author 
700 1 0 |a Wenyuan Zhao  |e author 
700 1 0 |a Haihai Liang  |e author 
700 1 0 |a Zheng Guo  |e author 
700 1 0 |a Yunyan Gu  |e author 
245 0 0 |a Genetic Interaction-Based Biomarkers Identification for Drug Resistance and Sensitivity in Cancer Cells 
260 |b Elsevier,   |c 2019-09-01T00:00:00Z. 
500 |a 2162-2531 
500 |a 10.1016/j.omtn.2019.07.003 
520 |a Cancer cells generally harbor hundreds of alterations in the cancer genomes and act as crucial factors in the development and progression of cancer. Gene alterations in the cancer genome form genetic interactions, which affect the response of patients to drugs. We developed an algorithm that mines copy number alteration and whole-exome mutation profiles from The Cancer Genome Atlas (TCGA), as well as functional screen data generated to identify potential genetic interactions for specific cancer types. As a result, 4,529 synthetic viability (SV) interactions and 10,637 synthetic lethality (SL) interactions were detected. The pharmacogenomic datasets revealed that SV interactions induced drug resistance in cancer cells and that SL interactions mediated drug sensitivity in cancer cells. Deletions of HDAC1 and DVL1, both of which participate in the Notch signaling pathway, had an SV effect in cancer cells, and deletion of DVL1 induced resistance to HDAC1 inhibitors in cancer cells. In addition, patients with low expression of both HDAC1 and DVL1 had poor prognosis. Finally, by integrating current reported genetic interactions from other studies, the Cancer Genetic Interaction database (CGIdb) (http://www.medsysbio.org/CGIdb) was constructed, providing a convenient retrieval for genetic interactions in cancer. Keywords: synthetic viability, synthetic lethality, drug resistance, drug sensitivity, biomarker 
546 |a EN 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n Molecular Therapy: Nucleic Acids, Vol 17, Iss , Pp 688-700 (2019) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2162253119301933 
787 0 |n https://doaj.org/toc/2162-2531 
856 4 1 |u https://doaj.org/article/49897a88cefd425b924be8c0bd603691  |z Connect to this object online.