Prognostic biomarkers in endometrial cancer: A systematic review and meta-analysis

Eva Coll de la Rubia, Elena Martinez-Garcia, Gunnar Dittmar, Antonio Gil-Moreno*, Silvia Cabrera*, Eva Colas*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

59 Citations (Scopus)


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.

Original languageEnglish
Article number1900
Pages (from-to)1-20
Number of pages20
JournalJournal of Clinical Medicine
Issue number6
Publication statusPublished - 2 Jun 2020


  • ESMO-ESGO-ESTRO risk classification
  • Endometrial adenocarcinoma
  • Endometrial cancer
  • Prognosis
  • Prognostic
  • Protein biomarker
  • Recurrence
  • Risk assessment
  • TCGA
  • Uterine cancer


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