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Tytuł pozycji:

In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.

Tytuł:
In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.
Autorzy:
Khedkar HN; PhD Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Academia Sinica, Taipei 11031, Taiwan.; Graduate Institute for Cancer Biology & Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.
Wang YC; Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
Yadav VK; The Program for Translational Medicine, Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Shuang Ho Hospital, New Taipei City 23561, Taiwan.; Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Srivastava P; The Program for Translational Medicine, Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.
Lawal B; PhD Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Academia Sinica, Taipei 11031, Taiwan.; Graduate Institute for Cancer Biology & Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.
Mokgautsi N; PhD Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Academia Sinica, Taipei 11031, Taiwan.; Graduate Institute for Cancer Biology & Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.
Sumitra MR; PhD Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Academia Sinica, Taipei 11031, Taiwan.; Graduate Institute for Cancer Biology & Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.
Wu ATH; The Program for Translational Medicine, Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.; The PhD Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.; TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei 11031, Taiwan.; Clinical Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei 11031, Taiwan.; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan.
Huang HS; PhD Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Academia Sinica, Taipei 11031, Taiwan.; Graduate Institute for Cancer Biology & Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan.; National Defense Medical Center, School of Pharmacy, Taipei 11490, Taiwan.; PhD Program in Drug Discovery and Development Industry, College of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Źródło:
International journal of molecular sciences [Int J Mol Sci] 2021 May 31; Vol. 22 (11). Date of Electronic Publication: 2021 May 31.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, [2000-
MeSH Terms:
Computational Biology*/methods
Drug Discovery*/methods
Gene Expression Profiling*
Genetic Variation*
Ovarian Neoplasms/*genetics
Ovarian Neoplasms/*metabolism
Protein Kinase Inhibitors/*chemistry
Biomarkers, Tumor ; CDC2 Protein Kinase/antagonists & inhibitors ; CDC2 Protein Kinase/chemistry ; Cell Cycle Proteins/antagonists & inhibitors ; Cell Cycle Proteins/chemistry ; Female ; Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks ; Humans ; Models, Molecular ; Molecular Conformation ; Molecular Structure ; NIMA-Related Kinases/antagonists & inhibitors ; NIMA-Related Kinases/chemistry ; Ovarian Neoplasms/drug therapy ; Ovarian Neoplasms/mortality ; Prognosis ; Protein Interaction Mapping ; Protein Interaction Maps ; Protein Kinase Inhibitors/pharmacology ; Protein Serine-Threonine Kinases/antagonists & inhibitors ; Protein Serine-Threonine Kinases/chemistry ; Protein-Tyrosine Kinases/antagonists & inhibitors ; Protein-Tyrosine Kinases/chemistry ; Structure-Activity Relationship ; Transcriptome
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Grant Information:
MOST109-2113-M-038-003 Hsu-Shan Huang; MOST109-2221-E-016-002-MY3 Yu-Chi Wang
Contributed Indexing:
Keywords: bioinformatics; drug resistance; genetic alterations; ovarian carcinoma; prognostic gene signature; protein-ligand interactions; target-based structure discovery
Substance Nomenclature:
0 (Biomarkers, Tumor)
0 (Cell Cycle Proteins)
0 (Protein Kinase Inhibitors)
EC 2.7.10.1 (Protein-Tyrosine Kinases)
EC 2.7.11.1 (NEK2 protein, human)
EC 2.7.11.1 (NIMA-Related Kinases)
EC 2.7.11.1 (Protein Serine-Threonine Kinases)
EC 2.7.11.22 (CDC2 Protein Kinase)
EC 2.7.11.22 (CDK1 protein, human)
EC 2.7.12.1 (TTK protein, human)
Entry Date(s):
Date Created: 20210602 Date Completed: 20210624 Latest Revision: 20211204
Update Code:
20240104
PubMed Central ID:
PMC8198179
DOI:
10.3390/ijms22115895
PMID:
34072728
Czasopismo naukowe
Ovarian cancer is often detected at the advanced stages at the time of initial diagnosis. Early-stage diagnosis is difficult due to its asymptomatic nature, where less than 30% of 5-year survival has been noticed. The underlying molecular events associated with the disease's pathogenesis have yet to be fully elucidated. Thus, the identification of prognostic biomarkers as well as developing novel therapeutic agents for targeting these markers become relevant. Herein, we identified 264 differentially expressed genes (DEGs) common in four ovarian cancer datasets (GSE14407, GSE18520, GSE26712, GSE54388), respectively. We constructed a protein-protein interaction (PPI) interaction network with the overexpressed genes (72 genes) and performed gene enrichment analysis. In the PPI networks, three proteins; TTK Protein Kinase (TTK), NIMA Related Kinase 2 (NEK2), and cyclin-dependent kinase (CDK1) with higher node degrees were further evaluated as therapeutic targets for our novel multi-target small molecule NSC777201. We found that the upregulated DEGs were enriched in KEGG and gene ontologies associated with ovarian cancer progression, female gamete association, otic vesicle development, regulation of chromosome segregation, and therapeutic failure. In addition to the PPI network, ingenuity pathway analysis also implicate TTK, NEK2, and CDK1 in the elevated salvage pyrimidine and pyridoxal pathways in ovarian cancer. The TTK, NEK2, and CDK1 are over-expressed, demonstrating a high frequency of genetic alterations, and are associated with poor prognosis of ovarian cancer cohorts. Interestingly, NSC777201 demonstrated anti-proliferative and cytotoxic activities (GI 50 = 1.6 µM~1.82 µM and TGI 50 = 3.5 µM~3.63 µM) against the NCI panels of ovarian cancer cell lines and exhibited a robust interaction with stronger affinities for TTK, NEK2, and CDK1, than do the standard drug, paclitaxel. NSC777201 displayed desirable properties of a drug-like candidate and thus could be considered as a novel small molecule for treating ovarian carcinoma.
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