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Integrative transcriptomics analysis for uterine leiomyosarcoma identifies aberrant activation of cell cycle-dependent kinases and their potential therapeutic significance.

Purpose: Uterine leiomyosarcoma is among the most aggressive gynecological malignancies. No effective treatment strategies have been established. This study aimed to identify novel therapeutic targets for uterine leiomyosarcoma based on transcriptome analysis and assess the preclinical efficacy of novel drug candidates. Experimental Design: Transcriptome analysis was carried out using fresh-frozen samples of six uterine leiomyosarcomas and three myomas. The Ingenuity Pathway Analysis was then used to identify potential therapeutic target genes for uterine leiomyosarcoma. Moreover, our results were validated using three independent datasets, including 40 uterine leiomyosarcomas. Then, the inhibitory effects of several selective inhibitors for the candidate genes were examined using the SK-UT-1, SK-LMS-1, and SKN cell lines. Results: We identified 512 considerably dysregulated genes in uterine leiomyosarcoma compared with myoma. The Ingenuity Pathway Analysis showed that the function of several genes, including CHEK1 and PLK1, were predicted to be activated in uterine leiomyosarcoma. Through an in vitro drug screening, PLK1 or CHEK1 inhibitors (BI 2536 or prexasertib) were found to exert a superior anti-cancer effect against cell lines at low nanomolar concentrations and induced cell cycle arrest. In SK-UT-1 tumor-bearing mice, BI 2536 monotherapy demonstrated a marked tumor regression. Moreover, the prexasertib and cisplatin combination therapy also reduced tumorigenicity and prolonged survival. Conclusion: We identified the upregulated expression of PLK1 and CHEK1; their kinase activity was considered to be activated in uterine leiomyosarcoma. BI 2536 and prexasertib demonstrate a significant anti-cancer effect; thus, cell cycle-related kinases may represent a promising therapeutic strategy for treating uterine leiomyosarcoma.