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

被引:78
作者
Coll-de la Rubia, Eva [1 ]
Martinez-Garcia, Elena [2 ]
Dittmar, Gunnar [2 ]
Gil-Moreno, Antonio [1 ,3 ]
Cabrera, Silvia [1 ,3 ]
Colas, Eva [1 ]
机构
[1] Univ Autonoma Barcelona, CIBERONC, Biomed Res Grp Gynecol, Vall Hebron Inst Res, Barcelona 08035, Spain
[2] Luxembourg Inst Hlth, Quantitat Biol Unit, L-1445 Strassen, Luxembourg
[3] Vall Hebron Univ Hosp, CIBERONC, Dept Gynecol, Barcelona 08035, Spain
关键词
endometrial cancer; protein biomarker; prognostic; prognosis; risk assessment; ESMO-ESGO-ESTRO risk classification; TCGA; endometrial adenocarcinoma; uterine cancer; recurrence; LYMPH-NODE METASTASIS; SERUM HE-4; CADHERIN EXPRESSION; RISK-ASSESSMENT; PROTEIN; PROTEOMICS; CURETTAGE; CLASSIFICATION; IDENTIFICATION; PREDICTION;
D O I
10.3390/jcm9061900
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:1 / 20
页数:20
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