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Objective

This study aimed to comprehensively clarify genomic landscape, and its association with tumor mutation burden-high (TMB-H, ≧10 mut/Mb) and microsatellite instability-high (MSI-H) in endometrial, cervical, and ovarian cancers.

Methods

We obtained genomic datasets of a comprehensive genomic profiling test, FoundationOne® CDx, with clinical information by using the “Center for Cancer Genomics and Advanced Therapeutics” (C-CAT) database in Japan. The patients could take the tests only after the standardized treatments under universal health insurance coverage.

Results

Endometrial cancers (n=561) were characterized by high frequency of tumor mutational burden-high (TMB-H) (13.9%) and MSI-high (MSI-H) (10.8%), especially in endometrioid carcinomas. The lower ratio ofPOLEexonuclease mutations (1.4%) and higher ratio ofTP53mutations (54.4%) than previous reports suggested the prognostic impact of the molecular subtypes. Among 839 cervical cancers, frequent mutations ofKRAS(32.2%),TP53(29.4%),PIK3CA(22.2%),STK11(22.2%),CDKN2A(18.3%), andERBB2(16.7%) were observed in adenocarcinomas, while the ratio of TMB-H was significantly higher in squamous cells carcinomas (20.6%). Among 1,606 ovarian cancers, genomic profiling of serous (n=784), clear cell (n=333), endometrioid (n=92), and mucinous carcinomas (n=91) was characterized. Pathogenic mutations in thePOLEexonuclease domain were linked to high TMB (TMB >100 mut/Mb), and the mutation ratio was low in both cervical (0.0%) and ovarian cancer (0.19%).

Conclusion

The C-CAT database is useful to provide mutational landscape of each cancer type and each histological subtype. As the dataset is collected exclusively from patients after the standardized treatments, the information of “druggable” alterations highlights the unmet needs for drug development in major gynecological cancers.