scholarly journals Systematic Analysis of Immune Infiltrates in High-Grade Serous Ovarian Cancer Reveals CD20, FoxP3 and TIA-1 as Positive Prognostic Factors

PLoS ONE ◽  
2009 ◽  
Vol 4 (7) ◽  
pp. e6412 ◽  
Author(s):  
Katy Milne ◽  
Martin Köbel ◽  
Steven E. Kalloger ◽  
Rebecca O. Barnes ◽  
Dongxia Gao ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Prognostic Factors ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Systematic Analysis

scholarly journals High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Min Li ◽  
Xue Cheng ◽  
Rong Rong ◽  
Yan Gao ◽  
Xiuwu Tang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cox Regression ◽  
Paraffin Section ◽  
Progression Free Survival ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Systematic Analysis ◽  
Cox Regression Analysis ◽  
Genes Expression ◽  
High Level

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.

Proteases and their inhibitors as prognostic factors for high-grade serous ovarian cancer

2019 ◽  
Vol 215 (6) ◽  
pp. 152369
Author(s):  
Dominique Trudel ◽  
Luminita-Mihaela Avarvarei ◽  
Michèle Orain ◽  
Stéphane Turcotte ◽  
Marie Plante ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Prognostic Factors ◽  
High Grade ◽  
Serous Ovarian Cancer

Expression profiles of PRKG1, SDF2L1 and PPP1R12A are predictive and prognostic factors for therapy response and survival in high‐grade serous ovarian cancer

2020 ◽  
Vol 147 (2) ◽  
pp. 565-574 ◽  
Author(s):  
Giuseppe Benvenuto ◽  
Paola Todeschini ◽  
Lara Paracchini ◽  
Enrica Calura ◽  
Robert Fruscio ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Prognostic Factors ◽  
Expression Profiles ◽  
Therapy Response ◽  
High Grade ◽  
Serous Ovarian Cancer

scholarly journals High expression of Fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer

2020 ◽  
Author(s):  
Min Li ◽  
Xue Cheng ◽  
Rong Rong ◽  
Xiuwu Tang ◽  
Youguo Chen
Keyword(s):  
Ovarian Cancer ◽  
Cox Regression ◽  
Paraffin Section ◽  
Progression Free Survival ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Systematic Analysis ◽  
Cox Regression Analysis ◽  
Genes Expression ◽  
High Level

Abstract Background High-grade serous ovarian cancer (HSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HSOC. Method and materials: TCGA database was conducted to analyze relevant genes expression in HSOC. 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 32 Chinese HSOC patients to validate gene expression in different stages of HSOC. 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 HSOC. In addition, FAP had a consistent expression profile between carcinoma-paracarcinoma and early-advanced stages of HSOC. Immunological tests in paraffin section also confirmed that up-regulation of FAP was present in advanced stage HSOC patients. Prediction of FAP network association suggested that FN1 could be a potential downstream gene which further influenced HSOC survival. Conclusions High-level expression of FAP was associated with poor prognosis of HSOC via FN1 pathway.

scholarly journals High expression of Fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer

2020 ◽  
Author(s):  
Min Li ◽  
Xue Cheng ◽  
Rong Rong ◽  
Xiuwu Tang ◽  
Youguo Chen
Keyword(s):  
Ovarian Cancer ◽  
Cox Regression ◽  
Paraffin Section ◽  
Progression Free Survival ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Systematic Analysis ◽  
Cox Regression Analysis ◽  
Genes Expression ◽  
High Level

Abstract Background: High-grade serous ovarian cancer (HSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HSOC. Method and materials: TCGA database was conducted to analyze relevant genes expression in HSOC. 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 HSOC patients to validate gene expression in different stages of HSOC. 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 HSOC. In addition, FAP had a consistent expression profile between carcinoma-paracarcinoma and early-advanced stages of HSOC. Immunological tests in paraffin section also confirmed that up-regulation of FAP was present in advanced stage HSOC patients. Prediction of FAP network association suggested that FN1 could be a potential downstream gene which further influenced HSOC survival. Conclusions: High-level expression of FAP was associated with poor prognosis of HSOC via FN1 pathway.

scholarly journals High expression of Fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer

2020 ◽  
Author(s):  
Min Li ◽  
Xue Cheng ◽  
Rong Rong ◽  
Yan Gao ◽  
Xiuwu Tang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cox Regression ◽  
Paraffin Section ◽  
Progression Free Survival ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Systematic Analysis ◽  
Cox Regression Analysis ◽  
Genes Expression ◽  
High Level

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.

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