Open AccessDiagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta‐Analysis
Author(s) -
Reijnen Casper,
IntHout Joanna,
Massuger Leon F.A.G.,
Strobbe Fleur,
KüstersVandevelde Heidi V.N.,
Haldorsen Ingfrid S.,
Snijders Marc P.L.M.,
Pijnenborg Johanna M.A.
Publication year - 2019
Publication title -
the oncologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.176
H-Index - 164
eISSN - 1549-490X
pISSN - 1083-7159
DOI - 10.1634/theoncologist.2019-0117
Subject(s) - medicine , endometrial cancer , radiology , positron emission tomography , meta analysis , carcinoma , magnetic resonance imaging , lymph node , oncology , cancer
Background In endometrial carcinoma (EC), preoperative classification is based on histopathological criteria, with only moderate diagnostic performance for the risk of lymph node metastasis (LNM). So far, existing molecular classification systems have not been evaluated for prediction of LNM. Optimized use of clinical biomarkers as recommended by international guidelines might be a first step to improve tailored treatment, awaiting future molecular biomarkers. Aim To determine the diagnostic accuracy of preoperative clinical biomarkers for the prediction of LNM in endometrial cancer. Methods A systematic review was performed according to the Meta‐analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Studies identified in MEDLINE and EMBASE were selected by two independent reviewers. Included biomarkers were based on recommended guidelines (cancer antigen 125 [Ca‐125], lymphadenopathy on magnetic resonance imaging, computed tomography, and 18 F‐fluorodeoxyglucose positron emission tomography/computed tomography [ 18 FDG PET‐CT]) or obtained by physical examination (body mass index, cervical cytology, blood cell counts). Pooled sensitivity, specificity, area under the curve (AUC), and likelihood ratios were calculated with bivariate random‐effects meta‐analysis. Likelihood ratios were classified into small (0.5–1.0 or 1–2.0), moderate (0.2–0.5 or 2.0–5.0) or large (0.1–0.2 or ≥ 5.0) impact. Results Eighty‐three studies, comprising 18,205 patients, were included. Elevated Ca‐125 and thrombocytosis were associated with a moderate increase in risk of LNM; lymphadenopathy on imaging with a large increase. Normal Ca‐125, cytology, and no lymphadenopathy on 18 FDG PET‐CT were associated with a moderate decrease. AUCs were above 0.75 for these biomarkers. Other biomarkers had an AUC <0.75 and incurred only small impact. Conclusion Ca‐125, thrombocytosis, and imaging had a large and moderate impact on risk of LNM and could improve preoperative risk stratification. Implications for Practice Routine lymphadenectomy in clinical early‐stage endometrial carcinoma does not improve outcome and is associated with 15%–20% surgery‐related morbidity, underlining the need for improved preoperative risk stratification. New molecular classification systems are emerging but have not yet been evaluated for the prediction of lymph node metastasis. This article provides a robust overview of diagnostic performance of all clinical biomarkers recommended by international guidelines. Based on these, at least measurement of cancer antigen 125 serum level, assessment of thrombocytosis, and imaging focused on lymphadenopathy should complement current preoperative risk stratification in order to better stratify these patients by risk.