Gene expression profile association with poor prognosis in epithelial ovarian cancer patients

Abstract Ovarian cancer (OC) is the eighth most common type of cancer for women worldwide. The current diagnostic and prognostic routine available for OC management either lack specificity or are very costly. Gene expression profiling has shown to be a very effective tool in exploring new molecular...

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Autores principales:	Douglas V. N. P. Oliveira, Kira P. Prahm, Ib J. Christensen, Anker Hansen, Claus K. Høgdall, Estrid V. Høgdall
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ad7576e2e7204848a35416de869b709c
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spelling	oai:doaj.org-article:ad7576e2e7204848a35416de869b709c2021-12-02T13:34:46ZGene expression profile association with poor prognosis in epithelial ovarian cancer patients10.1038/s41598-021-84953-92045-2322https://doaj.org/article/ad7576e2e7204848a35416de869b709c2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84953-9https://doaj.org/toc/2045-2322Abstract Ovarian cancer (OC) is the eighth most common type of cancer for women worldwide. The current diagnostic and prognostic routine available for OC management either lack specificity or are very costly. Gene expression profiling has shown to be a very effective tool in exploring new molecular markers for patients with OC, although association of such markers with patient survival and clinical outcome is still elusive. Here, we performed gene expression profiling of different subtypes of OC to evaluate its association with patient overall survival (OS) and aggressive forms of the disease. By global mRNA microarray profiling in a total of 196 epithelial OC patients (161 serous, 15 endometrioid, 11 mucinous, and 9 clear cell carcinomas), we found four candidates—HSPA1A, CD99, RAB3A and POM121L9P, which associated with OS and poor clinicopathological features. The overexpression of all combined was correlated with shorter OS and progression-free survival (PFS). Furthermore, the combination of at least two markers were further associated with advanced grade, chemotherapy resistance, and progressive disease. These results indicate that a panel comprised of a few predictors that associates with a more aggressive form of OC may be clinically relevant, presenting a better performance than one marker alone.Douglas V. N. P. OliveiraKira P. PrahmIb J. ChristensenAnker HansenClaus K. HøgdallEstrid V. HøgdallNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Douglas V. N. P. Oliveira Kira P. Prahm Ib J. Christensen Anker Hansen Claus K. Høgdall Estrid V. Høgdall Gene expression profile association with poor prognosis in epithelial ovarian cancer patients
description	Abstract Ovarian cancer (OC) is the eighth most common type of cancer for women worldwide. The current diagnostic and prognostic routine available for OC management either lack specificity or are very costly. Gene expression profiling has shown to be a very effective tool in exploring new molecular markers for patients with OC, although association of such markers with patient survival and clinical outcome is still elusive. Here, we performed gene expression profiling of different subtypes of OC to evaluate its association with patient overall survival (OS) and aggressive forms of the disease. By global mRNA microarray profiling in a total of 196 epithelial OC patients (161 serous, 15 endometrioid, 11 mucinous, and 9 clear cell carcinomas), we found four candidates—HSPA1A, CD99, RAB3A and POM121L9P, which associated with OS and poor clinicopathological features. The overexpression of all combined was correlated with shorter OS and progression-free survival (PFS). Furthermore, the combination of at least two markers were further associated with advanced grade, chemotherapy resistance, and progressive disease. These results indicate that a panel comprised of a few predictors that associates with a more aggressive form of OC may be clinically relevant, presenting a better performance than one marker alone.
format	article
author	Douglas V. N. P. Oliveira Kira P. Prahm Ib J. Christensen Anker Hansen Claus K. Høgdall Estrid V. Høgdall
author_facet	Douglas V. N. P. Oliveira Kira P. Prahm Ib J. Christensen Anker Hansen Claus K. Høgdall Estrid V. Høgdall
author_sort	Douglas V. N. P. Oliveira
title	Gene expression profile association with poor prognosis in epithelial ovarian cancer patients
title_short	Gene expression profile association with poor prognosis in epithelial ovarian cancer patients
title_full	Gene expression profile association with poor prognosis in epithelial ovarian cancer patients
title_fullStr	Gene expression profile association with poor prognosis in epithelial ovarian cancer patients
title_full_unstemmed	Gene expression profile association with poor prognosis in epithelial ovarian cancer patients
title_sort	gene expression profile association with poor prognosis in epithelial ovarian cancer patients
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ad7576e2e7204848a35416de869b709c
work_keys_str_mv	AT douglasvnpoliveira geneexpressionprofileassociationwithpoorprognosisinepithelialovariancancerpatients AT kirapprahm geneexpressionprofileassociationwithpoorprognosisinepithelialovariancancerpatients AT ibjchristensen geneexpressionprofileassociationwithpoorprognosisinepithelialovariancancerpatients AT ankerhansen geneexpressionprofileassociationwithpoorprognosisinepithelialovariancancerpatients AT clauskhøgdall geneexpressionprofileassociationwithpoorprognosisinepithelialovariancancerpatients AT estridvhøgdall geneexpressionprofileassociationwithpoorprognosisinepithelialovariancancerpatients
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Gene expression profile association with poor prognosis in epithelial ovarian cancer patients

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