Uterine leiomyosarcoma (ULMS) is one of the most aggressive gynecological malignancies. In the past decade, novel therapeutic agents such as trabectedin and pazopanib have been approved, but the prognosis of patients remains unsatisfactory. This study aimed to identify potential therapeutic targets for ULMS based on transcriptome analysis. Archival fresh-frozen tumor tissues of 6 ULMS and three leiomyoma samples were used in this study, and total RNA was extracted. First, transcriptome analysis identified 512 significantly differentially expressed genes, and subsequent pathway analysis using IPA software revealed that the functions of cell cycle-related kinases were significantly activated in ULMS. Moreover, our results were validated using 3 independent Gene Expression Omnibus datasets, including 40 ULMS. Therefore, we considered the kinases as novel therapeutic targets and evaluated the anti-cancer effects of several selective inhibitors against them. Most inhibitors exerted a higher anti-cancer effect than pazopanib in three leiomyosarcoma cell lines. Especially, CHEK1 or PLK1 inhibitors strongly induced cell cycle arrest and cell death, and the IC50s were lower nanomolar concentration. Moreover, the inhibitors suppressed the tumor growth in SK-UT-1 bearing mice models. In conclusion, we revealed the unique gene expression profiles of ULMS. CHEK1 and PLK1 are promising therapeutic targets for ULMS, and therefore, further clinical trials are highly anticipated to improve the prognosis of the patients.

Objective: The survival benefits of retroperitoneal lymphadenectomy (RLNA) for epithelial ovarian cancer (EOC) remain controversial because clinical behaviors differ among subtypes. The purpose of the present study was to clarify whether RLNA increases the survival rate of advanced high-grade serous carcinoma (HGSC). Methods: This was a retrospective cohort analysis of 3,227 patients with EOC treated between 1986 and 2017 at 14 institutions. Among them, 335 patients with stage IIB-IV HGSC who underwent optimal cytoreduction (residual tumor of <1 cm) were included. Patients were divided into the RLNA group (n=170) and non-RLNA group (n=165). All pathological slides were assessed based on a central pathological review. Oncologic outcomes were compared between the two groups in the original and weighted cohorts adjusted with the inverse probability of treatment weighting. Results: The median observation period was 49.8 (0.5–241.5) months. Overall, 219 (65%) out of 335 patients had recurrence or progression, while 146 (44%) died of the disease. In the original cohort, RLNA was a significant prognostic factor for longer progression-free survival (PFS) (hazard ratio [HR]=0.741; 95% confidence interval [CI]=0.558–0.985) and overall survival (OS) (HR=0.652; 95% CI=0.459–0.927). In the weighted cohort in which all variables were well balanced as standardized differences decreased, RLNA was also a significant prognostic factor for more favorable oncologic outcomes (PFS, adjusted HR=0.742; 95% CI=0.613–0.899) and OS, adjusted HR=0.620; 95% CI=0.488–0.787). Conclusion The present study demonstrated that RLNA for stage III-IV HGSC with no residual tumor after primary debulking surgery contributed to better oncologic outcomes.

Objective: Ovarian clear cell carcinoma (OCCC) is a subtype of epithelial ovarian carcinoma with poor prognosis. However, no effective biomarkers have been established for predicting unfavorable events, including recurrence and poor prognoses. Serum microRNAs (miRNAs) have been increasingly reported to be useful in predicting a patient’s condition and have been recognized as a potentially less-invasive source for liquid biopsy in cancer. Therefore, this study aimed to evaluate serum miRNA profiles from patients with OCCC and to establish biomarker for predicting the prognoses. Methods: The GSE106817, which included preoperative serum miRNA profiles of patients with ovarian tumors, was used, and clinical information was investigated. In all, 66 patients with OCCC were included, excluding those with other histological subtypes or insufficient prognostic information. Moreover, miRNA profiles of OCCC tissues were also examined. Results: The median follow-up period was 64.3 (8.0–153.3) months. Based on multivariable Cox regression analyses and the expression of miRNAs in OCCC tissues, miR-150-3p, miR-3195, and miR-7704 were selected as miRNA candidates associated with both progression-free survival (PFS) and overall survival (OS). Then, the prognostic index was calculated based on expression values of 3 serum miRNAs. Kaplan-Meier survival analysis indicated that the prognostic index was significantly predictive of PFS and OS (p=0.004 and p=0.012, respectively). Conclusion Preoperative serum miRNA profiles of miR-150-3p, miR-3195, and miR-7704 can be used to potentially predict the prognosis of patients with OCCC.