High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer
Abstract 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 s...
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| Format: | Article |
| Language: | English |
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BMC
2020-10-01
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| Series: | BMC Cancer |
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| Online Access: | http://link.springer.com/article/10.1186/s12885-020-07541-6 |
| _version_ | 1818281095221739520 |
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| author | Min Li Xue Cheng Rong Rong Yan Gao Xiuwu Tang Youguo Chen |
| author_facet | Min Li Xue Cheng Rong Rong Yan Gao Xiuwu Tang Youguo Chen |
| author_sort | Min Li |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-12T23:59:40Z |
| format | Article |
| id | doaj.art-d8fb9d95b7fe4d2b9a7bdfb622bafc1b |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-12-12T23:59:40Z |
| publishDate | 2020-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-d8fb9d95b7fe4d2b9a7bdfb622bafc1b2022-12-22T00:06:28ZengBMCBMC Cancer1471-24072020-10-012011810.1186/s12885-020-07541-6High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancerMin Li0Xue Cheng1Rong Rong2Yan Gao3Xiuwu Tang4Youguo Chen5Department of Gynecology & Obstetrics, the First Affiliated Hospital of Soochow UniversityDepartment of Pathology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical UniversityDepartment of Pathology, the First Affiliated Hospital with Nanjing Medical UniversityInstitute of Suzhou Biobank, Suzhou Center for Disease Prevention and ControlDepartment of Gynecology & Obstetrics, the First Affiliated Hospital of Soochow UniversityDepartment of Gynecology & Obstetrics, the First Affiliated Hospital of Soochow UniversityAbstract 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.http://link.springer.com/article/10.1186/s12885-020-07541-6Fibroblast activation protein (FAP)The Cancer genome atlas program (TCGA)High-grade serous ovarian cancer (HGSOC)Survival |
| spellingShingle | Min Li Xue Cheng Rong Rong Yan Gao Xiuwu Tang Youguo Chen High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer BMC Cancer Fibroblast activation protein (FAP) The Cancer genome atlas program (TCGA) High-grade serous ovarian cancer (HGSOC) Survival |
| title | High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer |
| title_full | High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer |
| title_fullStr | High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer |
| title_full_unstemmed | High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer |
| title_short | High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer |
| title_sort | high expression of fibroblast activation protein fap predicts poor outcome in high grade serous ovarian cancer |
| topic | Fibroblast activation protein (FAP) The Cancer genome atlas program (TCGA) High-grade serous ovarian cancer (HGSOC) Survival |
| url | http://link.springer.com/article/10.1186/s12885-020-07541-6 |
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