High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer
Autor: | Xiuwu Tang, Min Li, Rong Rong, Xue Cheng, Youguo Chen, Yan Gao |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Oncology Cancer Research Candidate gene medicine.medical_specialty Survival lcsh:RC254-282 03 medical and health sciences 0302 clinical medicine Fibroblast activation protein alpha Surgical oncology High-grade serous ovarian cancer (HGSOC) Internal medicine Gene expression Databases Genetic Endopeptidases Genetics Serous ovarian cancer medicine Humans Gene Neoplasm Staging Ovarian Neoplasms Proportional hazards model business.industry Fibroblast activation protein (FAP) Serine Endopeptidases Membrane Proteins medicine.disease lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens Prognosis Survival Analysis Cystadenocarcinoma Serous Fibronectins Up-Regulation Gene Expression Regulation Neoplastic 030104 developmental biology Gelatinases 030220 oncology & carcinogenesis Female The Cancer genome atlas program (TCGA) Ovarian cancer business Research Article Signal Transduction |
Zdroj: | BMC Cancer BMC Cancer, Vol 20, Iss 1, Pp 1-8 (2020) |
ISSN: | 1471-2407 |
Popis: | Background High-grade serous ovarian cancer (HGSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HGSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HGSOC. Methods TCGA database was conducted to analyze relevant genes expression in HGSOC. Outcomes of candidate genes expression, including overall survival (OS) and progression-free survival (PFS), were calculated by Cox regression analysis for hazard rates (HR). Histopathological investigation of the identified genes was carried out in 151 Chinese HGSOC patients to validate gene expression in different stages of HGSOC. Results Of all 57,331 genes that were analyzed, FAP was identified as the only novel gene that significantly contributed to both OS and PFS of HGSOC. In addition, FAP had a consistent expression profile between carcinoma-paracarcinoma and early-advanced stages of HGSOC. Immunological tests in paraffin section also confirmed that up-regulation of FAP was present in advanced stage HGSOC patients. Prediction of FAP network association suggested that FN1 could be a potential downstream gene which further influenced HGSOC survival. Conclusions High-level expression of FAP was associated with poor prognosis of HGSOC via FN1 pathway. |
Databáze: | OpenAIRE |
Externí odkaz: |