Unknown

Dataset Information

0

Integrated genomic analysis of clear cell ovarian cancers identified PRKCI as a potential therapeutic target.


ABSTRACT: 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.

SUBMITTER: Tsang TY 

PROVIDER: S-EPMC5722499 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Integrated genomic analysis of clear cell ovarian cancers identified PRKCI as a potential therapeutic target.

Tsang Tsun Yee TY   Wei Wei W   Itamochi Hiroaki H   Tambouret Rosemary R   Birrer Michael J MJ  

Oncotarget 20170804 57


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  ...[more]

Similar Datasets

| S-EPMC5137074 | biostudies-literature
| S-EPMC6032401 | biostudies-literature
| S-EPMC3130734 | biostudies-literature
| S-EPMC6799828 | biostudies-literature
| S-EPMC5840758 | biostudies-other
2011-05-24 | E-GEOD-29450 | biostudies-arrayexpress
2011-05-24 | GSE29450 | GEO
| S-EPMC7018556 | biostudies-literature
| S-EPMC8198755 | biostudies-literature