Abstract 145: Comprehensive sequencing analyses of uterine and ovarian carcinosarcoma

2016 
Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA Carcinosarcoma (CS) of the uterus or the ovary, known as malignant mixed Muellerian tumor, is a biphasic neoplasm composed of malignant epithelial (carcinoma) and mesenchymal (sarcoma) elements. CS is a rare disease (two per 100,000 women) and exhibits poor prognosis (5-year survival rates: uterus and ovary; 31 and 7.5%, respectively). Treatment regimen for CS follows to that for endometrioid adenocarcinoma (EC) since CS has been considered as an aggressive form of high-grade EC. However, CS has a significantly worse prognosis than EC. Identification of a molecular target and/or a molecular mechanism in tumorigenesis from a large cohort study may improve unfavorable outcomes. Toward this aim, we perform targeted resequencing analysis with a panel of 596 genes, which were previously implicated as critical not only for uterine, ovarian or sarcomatus oncogenesis but also for molecular targets in therapeutics. Through analyses of 84 cases of uterine and ovarian CS, consensus clustering with deregulated pattern of CS genome identified four genomic subtypes that correlate with genetic or epigenetic alterations, histopathology and patient outcomes. Moreover, potentially actionable alterations were found in a substantial number of genes (including PIK3CA, MTOR, KRAS and CCNE1). This study would provide deep insights into the development of novel diagnostic and personalized treatment for CS patients. Citation Format: Seiichi Mori, Osamu Gotoh, Yuko Sugiyama, Kazuyoshi Kato, Yutaka Takazawa, Tetsuo Noda. Comprehensive sequencing analyses of uterine and ovarian carcinosarcoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 145.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []