Cargando…

Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis

Endometrial cancer (EC) is the sixth most common cancer in women worldwide and its mortality is directly associated with the presence of poor prognostic factors driving tumor recurrence. Stratification systems are based on few molecular, and mostly clinical and pathological parameters, but these sys...

Descripción completa

Detalles Bibliográficos
Autores principales: Coll-de la Rubia, Eva, Martinez-Garcia, Elena, Dittmar, Gunnar, Gil-Moreno, Antonio, Cabrera, Silvia, Colas, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356541/
https://www.ncbi.nlm.nih.gov/pubmed/32560580
http://dx.doi.org/10.3390/jcm9061900
_version_ 1783558513593679872
author Coll-de la Rubia, Eva
Martinez-Garcia, Elena
Dittmar, Gunnar
Gil-Moreno, Antonio
Cabrera, Silvia
Colas, Eva
author_facet Coll-de la Rubia, Eva
Martinez-Garcia, Elena
Dittmar, Gunnar
Gil-Moreno, Antonio
Cabrera, Silvia
Colas, Eva
author_sort Coll-de la Rubia, Eva
collection PubMed
description Endometrial cancer (EC) is the sixth most common cancer in women worldwide and its mortality is directly associated with the presence of poor prognostic factors driving tumor recurrence. Stratification systems are based on few molecular, and mostly clinical and pathological parameters, but these systems remain inaccurate. Therefore, identifying prognostic EC biomarkers is crucial for improving risk assessment pre- and postoperatively and to guide treatment decisions. This systematic review gathers all protein biomarkers associated with clinical prognostic factors of EC, recurrence and survival. Relevant studies were identified by searching the PubMed database from 1991 to February 2020. A total number of 398 studies matched our criteria, which compiled 255 proteins associated with the prognosis of EC. MUC16, ESR1, PGR, TP53, WFDC2, MKI67, ERBB2, L1CAM, CDH1, PTEN and MMR proteins are the most validated biomarkers. On the basis of our meta-analysis ESR1, TP53 and WFDC2 showed potential usefulness for predicting overall survival in EC. Limitations of the published studies in terms of appropriate study design, lack of high-throughput measurements, and statistical deficiencies are highlighted, and new approaches and perspectives for the identification and validation of clinically valuable EC prognostic biomarkers are discussed.
format Online
Article
Text
id pubmed-7356541
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-73565412020-07-30 Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis Coll-de la Rubia, Eva Martinez-Garcia, Elena Dittmar, Gunnar Gil-Moreno, Antonio Cabrera, Silvia Colas, Eva J Clin Med Review Endometrial cancer (EC) is the sixth most common cancer in women worldwide and its mortality is directly associated with the presence of poor prognostic factors driving tumor recurrence. Stratification systems are based on few molecular, and mostly clinical and pathological parameters, but these systems remain inaccurate. Therefore, identifying prognostic EC biomarkers is crucial for improving risk assessment pre- and postoperatively and to guide treatment decisions. This systematic review gathers all protein biomarkers associated with clinical prognostic factors of EC, recurrence and survival. Relevant studies were identified by searching the PubMed database from 1991 to February 2020. A total number of 398 studies matched our criteria, which compiled 255 proteins associated with the prognosis of EC. MUC16, ESR1, PGR, TP53, WFDC2, MKI67, ERBB2, L1CAM, CDH1, PTEN and MMR proteins are the most validated biomarkers. On the basis of our meta-analysis ESR1, TP53 and WFDC2 showed potential usefulness for predicting overall survival in EC. Limitations of the published studies in terms of appropriate study design, lack of high-throughput measurements, and statistical deficiencies are highlighted, and new approaches and perspectives for the identification and validation of clinically valuable EC prognostic biomarkers are discussed. MDPI 2020-06-17 /pmc/articles/PMC7356541/ /pubmed/32560580 http://dx.doi.org/10.3390/jcm9061900 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Coll-de la Rubia, Eva
Martinez-Garcia, Elena
Dittmar, Gunnar
Gil-Moreno, Antonio
Cabrera, Silvia
Colas, Eva
Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis
title Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis
title_full Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis
title_fullStr Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis
title_full_unstemmed Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis
title_short Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis
title_sort prognostic biomarkers in endometrial cancer: a systematic review and meta-analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356541/
https://www.ncbi.nlm.nih.gov/pubmed/32560580
http://dx.doi.org/10.3390/jcm9061900
work_keys_str_mv AT colldelarubiaeva prognosticbiomarkersinendometrialcancerasystematicreviewandmetaanalysis
AT martinezgarciaelena prognosticbiomarkersinendometrialcancerasystematicreviewandmetaanalysis
AT dittmargunnar prognosticbiomarkersinendometrialcancerasystematicreviewandmetaanalysis
AT gilmorenoantonio prognosticbiomarkersinendometrialcancerasystematicreviewandmetaanalysis
AT cabrerasilvia prognosticbiomarkersinendometrialcancerasystematicreviewandmetaanalysis
AT colaseva prognosticbiomarkersinendometrialcancerasystematicreviewandmetaanalysis