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Integrated genomic analysis of clear cell ovarian cancers identified PRKCI as a potential therapeutic target.
Tsang, Tsun Yee; Wei, Wei; Itamochi, Hiroaki; Tambouret, Rosemary; Birrer, Michael J.
Afiliação
  • Tsang TY; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Wei W; Harvard Medical School, Boston, Massachusetts, USA.
  • Itamochi H; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Tambouret R; Harvard Medical School, Boston, Massachusetts, USA.
  • Birrer MJ; Department of Obstetrics and Gynecology, Tottori University School of Medicine, Yonago, Tottori, Japan.
Oncotarget ; 8(57): 96482-96495, 2017 Nov 14.
Article em En | MEDLINE | ID: mdl-29228547
Clear cell ovarian cancer (CCOC) is an epithelial ovarian cancer histotype with unique pathologic, biologic and clinical features. Despite its worse prognosis than serous ovarian cancer (SOC), the genomic landscape of CCOC is less well defined. Integrated genomic analysis of CCOC allows the identification of potential therapeutic targets to improve the treatment of this tumor. Using comparative genomic hybridization and gene expression profiling, we have screened 12 CCOC cell lines and 40 tumors to identify 45 amplified and overexpressed genes. Pathways analysis of these genes identified 19 genes with cancer-related functions. Of these, PRKCI is one of the most frequently amplified and overexpressed genes and its expression induced cancer cell proliferation and migration/invasion in vitro as well as tumor growth in vivo. Targeting PRKCI by small molecule inhibitor, sodium aurothiomalate (ATM), significantly reduced the in vivo tumor growth and may be a new therapeutic strategy to improve the treatment of CCOC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Oncotarget Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Oncotarget Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
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