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BMC Cancer ; 19(1): 1121, 2019 Nov 19.
Artigo em Inglês | MEDLINE | ID: mdl-31744494

RESUMO

BACKGROUND: High grade serous ovarian carcinoma (HGSOC) is the most common subtype of epithelial ovarian cancers (EOC) with poor prognosis. In most cases EOC is widely disseminated at the time of diagnosis. Despite the optimal cytoreductive surgery and chemotherapy most patients develop chemoresistance, and the 5-year overall survival being only 25-35%. METHODS: Here we analyzed the gene expression profiles of 10 primary HGSOC tumors and 10 related omental metastases using RNA sequencing and identified 100 differentially expressed genes. RESULTS: The differentially expressed genes were associated with decreased embryogenesis and vasculogenesis and increased cellular proliferation and organismal death. Top upstream regulators responsible for this gene signature were NR5A1, GATA4, FOXL2, TP53 and BMP7. A subset of these genes were highly expressed in the ovarian cancer among the cancer transcriptomes of The Cancer Genome Atlas. Importantly, the metastatic gene signature was suggestive of poor survival in TCGA data based on gene enrichment analysis. CONCLUSION: By comparing the gene expression profiles of primary HGSOC tumors and their matched metastasis, we provide evidence that a signature of 100 genes is able to separate these two sample types and potentially predict patient survival. Our study identifies functional categories of genes and transcription factors that could play important roles in promoting metastases and serve as markers for cancer prognosis.


Assuntos
Carcinoma Epitelial do Ovário/genética , Carcinoma Epitelial do Ovário/patologia , Perfilação da Expressão Gênica , Neoplasias Ovarianas/genética , Neoplasias Ovarianas/patologia , Transcriptoma , Carcinoma Epitelial do Ovário/mortalidade , Linhagem Celular Tumoral , Biologia Computacional/métodos , Feminino , Regulação Neoplásica da Expressão Gênica , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Estimativa de Kaplan-Meier , Metástase Neoplásica , Estadiamento de Neoplasias , Neoplasias Ovarianas/mortalidade
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