A Bioinformatics Analysis Identifies the Telomerase Inhibitor MST-312 for Treating High-STMN1-Expressing Hepatocellular Carcinoma.
Szu-Jen WangPei-Ming YangPublished in: Journal of personalized medicine (2021)
Hepatocellular carcinoma (HCC) is a relatively chemo-resistant tumor. Several multi-kinase inhibitors have been approved for treating advanced HCC. However, most HCC patients are highly refractory to these drugs. Therefore, the development of more effective therapies for advanced HCC patients is urgently needed. Stathmin 1 (STMN1) is an oncoprotein that destabilizes microtubules and promotes cancer cell migration and invasion. In this study, cancer genomics data mining identified STMN1 as a prognosis biomarker and a therapeutic target for HCC. Co-expressed gene analysis indicated that STMN1 expression was positively associated with cell-cycle-related gene expression. Chemical sensitivity profiling of HCC cell lines suggested that High-STMN1-expressing HCC cells were the most sensitive to MST-312 (a telomerase inhibitor). Drug-gene connectivity mapping supported that MST-312 reversed the STMN1-co-expressed gene signature (especially BUB1B, MCM2/5/6, and TTK genes). In vitro experiments validated that MST-312 inhibited HCC cell viability and related protein expression (STMN1, BUB1B, and MCM5). In addition, overexpression of STMN1 enhanced the anticancer activity of MST-312 in HCC cells. Therefore, MST-312 can be used for treating STMN1-high expression HCC.
Keyphrases
- cell cycle
- gene expression
- genome wide
- end stage renal disease
- ejection fraction
- induced apoptosis
- newly diagnosed
- poor prognosis
- copy number
- bioinformatics analysis
- chronic kidney disease
- dna methylation
- multiple sclerosis
- oxidative stress
- signaling pathway
- emergency department
- long non coding rna
- high resolution
- binding protein
- single cell
- prognostic factors
- radiation therapy
- artificial intelligence
- endoplasmic reticulum stress
- rectal cancer
- genome wide identification
- cell death