Background: High-grade serous ovarian carcinoma (HGSOC) is generally associated with a very dismal prognosis. Nevertheless, patients with similar clinicopathological characteristics can have markedly different clinical outcomes. Our aim was the identification of novel molecular determinants influencing survival. Methods: Gene expression profiles of extreme HGSOC survivors (training set) were obtained by microarray. Differentially expressed genes (DEGs) and enriched signalling pathways were determined. A prognostic signature was generated and validated on curatedOvarianData database through a meta-analysis approach. The best prognostic biomarker from the signature was confirmed by RT-qPCR and by immunohistochemistry on an independent validation set. Cox regression model was chosen for survival analysis. Results: Eighty DEGs and the extracellular matrix-receptor (ECM-receptor) interaction pathway were associated to extreme survival. A 10-gene prognostic signature able to correctly classify patients with 98% of accuracy was identified. By an ‘in-silico’ meta-analysis, overexpression of FXYD domain-containing ion transport regulator 5 (FXYD5), also known as dysadherin, was confirmed in HGSOC short-term survivors compared to long-term ones. Its prognostic and predictive power was then successfully validated, both at mRNA and protein level, first on training than on validation sample set. Conclusion: We demonstrated the possible involvement of FXYD5 and ECM-receptor interaction signal pathway in HCSOC survival and prognosis.

FXYD5 (Dysadherin) upregulation predicts shorter survival and reveals platinum resistance in high-grade serous ovarian cancer patients

Gambino A.
Writing – Original Draft Preparation
;
Ardighieri L.
Writing – Original Draft Preparation
;
Bignotti E.
Writing – Original Draft Preparation
;
Todeschini P.
Writing – Original Draft Preparation
;
Romani C.
Writing – Original Draft Preparation
;
Zanotti L.
Writing – Original Draft Preparation
;
Bugatti M.
Writing – Original Draft Preparation
;
Tognon G.
Writing – Original Draft Preparation
;
Sartori E.
Writing – Original Draft Preparation
;
Odicino F.
Writing – Original Draft Preparation
;
Ravaggi A.
Writing – Original Draft Preparation
2019-01-01

Abstract

Background: High-grade serous ovarian carcinoma (HGSOC) is generally associated with a very dismal prognosis. Nevertheless, patients with similar clinicopathological characteristics can have markedly different clinical outcomes. Our aim was the identification of novel molecular determinants influencing survival. Methods: Gene expression profiles of extreme HGSOC survivors (training set) were obtained by microarray. Differentially expressed genes (DEGs) and enriched signalling pathways were determined. A prognostic signature was generated and validated on curatedOvarianData database through a meta-analysis approach. The best prognostic biomarker from the signature was confirmed by RT-qPCR and by immunohistochemistry on an independent validation set. Cox regression model was chosen for survival analysis. Results: Eighty DEGs and the extracellular matrix-receptor (ECM-receptor) interaction pathway were associated to extreme survival. A 10-gene prognostic signature able to correctly classify patients with 98% of accuracy was identified. By an ‘in-silico’ meta-analysis, overexpression of FXYD domain-containing ion transport regulator 5 (FXYD5), also known as dysadherin, was confirmed in HGSOC short-term survivors compared to long-term ones. Its prognostic and predictive power was then successfully validated, both at mRNA and protein level, first on training than on validation sample set. Conclusion: We demonstrated the possible involvement of FXYD5 and ECM-receptor interaction signal pathway in HCSOC survival and prognosis.
2019
Nessuno
Inglese
Internazionale
STAMPA
121
7
584
592
9
Aged; Analysis of Variance; Antineoplastic Agents; Carboplatin; Cystadenocarcinoma, Serous; Female; Humans; Ion Channels; Microfilament Proteins; Middle Aged; Neoplasm Grading; Neoplasm Proteins; Ovarian Neoplasms; Prognosis; Progression-Free Survival; Receptors, Cell Surface; Reverse Transcriptase Polymerase Chain Reaction; Survival Analysis; Transcriptome; Up-Regulation; Drug Resistance, Neoplasm
no
15
info:eu-repo/semantics/article
262
Tassi, R. A.; Gambino, A.; Ardighieri, L.; Bignotti, E.; Todeschini, P.; Romani, C.; Zanotti, L.; Bugatti, M.; Borella, F.; Katsaros, D.; Tognon, G.; ...espandi
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/540116
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