Literature DB >> 31186375

Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.

Casper Reijnen1,2, Joanna IntHout3, Leon F A G Massuger4, Fleur Strobbe4, Heidi V N Küsters-Vandevelde5, Ingfrid S Haldorsen6,7, Marc P L M Snijders2, Johanna M A Pijnenborg4.   

Abstract

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 18F-fluorodeoxyglucose positron emission tomography/computed tomography [18FDG 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 18FDG 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. © AlphaMed Press 2019.

Entities:  

Keywords:  Biomarkers; Endometrial carcinoma; Imaging; Lymph node metastasis; Meta‐analysis; Risk stratification

Mesh:

Substances:

Year:  2019        PMID: 31186375      PMCID: PMC6738307          DOI: 10.1634/theoncologist.2019-0117

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  127 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Clinical Utility of Preoperative Computed Tomography in Patients With Endometrial Cancer.

Authors:  Giorgio Bogani; Bobbie S Gostout; Sean C Dowdy; Francesco Multinu; Jvan Casarin; William A Cliby; Luigi Frigerio; Bohyun Kim; Amy L Weaver; Gretchen E Glaser; Andrea Mariani
Journal:  Int J Gynecol Cancer       Date:  2017-10       Impact factor: 3.437

3.  Preoperative thrombocytosis and poor prognostic factors in endometrial cancer.

Authors:  Suttichai Heng; Mongkol Benjapibal
Journal:  Asian Pac J Cancer Prev       Date:  2014

4.  Predictors of lymphatic failure in endometrial cancer.

Authors:  Andrea Mariani; Maurice J Webb; Gary L Keeney; Giacomo Aletti; Karl C Podratz
Journal:  Gynecol Oncol       Date:  2002-03       Impact factor: 5.482

5.  Lymph-vascular space involvement and outer one-third myometrial invasion are strong predictors of distant haematogeneous failures in patients with stage I-II endometrioid-type endometrial cancer.

Authors:  Angiolo Gadducci; Andrea Cavazzana; Stefania Cosio; Claudio DI Cristofano; Roberta Tana; Antonio Fanucchi; Giancarlo Teti; Renza Cristofani; Andrea Riccardo Genazzani
Journal:  Anticancer Res       Date:  2009-05       Impact factor: 2.480

6.  Evaluation of the accuracy of preoperative MRI in measuring myometrial infiltration in endometrial carcinoma.

Authors:  Katalin Horváth; Imre Pete; Ildikó Vereczkey; Anna Dudnyikova; Mária Gődény
Journal:  Pathol Oncol Res       Date:  2013-12-01       Impact factor: 3.201

7.  Accuracy of preoperative tests in clinical stage I endometrial cancer: the importance of lymphadenectomy.

Authors:  Hanbyoul Cho; Young Tae Kim; Jae-Hoon Kim
Journal:  Acta Obstet Gynecol Scand       Date:  2010       Impact factor: 3.636

8.  Two pathogenetic types of endometrial carcinoma.

Authors:  J V Bokhman
Journal:  Gynecol Oncol       Date:  1983-02       Impact factor: 5.482

9.  Preoperative serum CA125: a useful marker for surgical management of endometrial cancer.

Authors:  Tao Jiang; Ling Huang; Shulan Zhang
Journal:  BMC Cancer       Date:  2015-05-12       Impact factor: 4.430

10.  Efficacy of systematic pelvic lymphadenectomy in endometrial cancer (MRC ASTEC trial): a randomised study.

Authors:  H Kitchener; A M C Swart; Q Qian; C Amos; M K B Parmar
Journal:  Lancet       Date:  2008-12-16       Impact factor: 79.321

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  6 in total

1.  Fertility-sparing treatment in early endometrial cancer: current state and future strategies.

Authors:  Andreas Obermair; Eva Baxter; Donal J Brennan; Jessica N McAlpine; Jennifer J Muellerer; Frédéric Amant; Mignon D J M van Gent; Robert L Coleman; Shannon N Westin; Melinda S Yates; Camilla Krakstad; Monika Janda
Journal:  Obstet Gynecol Sci       Date:  2020-07-08

Review 2.  Imaging of Preclinical Endometrial Cancer Models for Monitoring Tumor Progression and Response to Targeted Therapy.

Authors:  Heidi Espedal; Tina Fonnes; Kristine E Fasmer; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Cancers (Basel)       Date:  2019-11-27       Impact factor: 6.639

3.  Prediction of Lymph-Node Metastasis in Cancers Using Differentially Expressed mRNA and Non-coding RNA Signatures.

Authors:  Shihua Zhang; Cheng Zhang; Jinke Du; Rui Zhang; Shixiong Yang; Bo Li; Pingping Wang; Wensheng Deng
Journal:  Front Cell Dev Biol       Date:  2021-02-11

4.  Feasibility and clinical applicability of genomic profiling based on cervical smear samples in patients with endometrial cancer.

Authors:  Namsoo Kim; Yoo-Na Kim; Kyunglim Lee; Eunhyang Park; Yong Jae Lee; So Yoon Hwang; Jihyang Park; Zisun Choi; Sang Wun Kim; Sunghoon Kim; Jong Rak Choi; Seung-Tae Lee; Jung-Yun Lee
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

5.  Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study.

Authors:  Casper Reijnen; Evangelia Gogou; Nicole C M Visser; Hilde Engerud; Jordache Ramjith; Louis J M van der Putten; Koen van de Vijver; Maria Santacana; Peter Bronsert; Johan Bulten; Marc Hirschfeld; Eva Colas; Antonio Gil-Moreno; Armando Reques; Gemma Mancebo; Camilla Krakstad; Jone Trovik; Ingfrid S Haldorsen; Jutta Huvila; Martin Koskas; Vit Weinberger; Marketa Bednarikova; Jitka Hausnerova; Anneke A M van der Wurff; Xavier Matias-Guiu; Frederic Amant; Leon F A G Massuger; Marc P L M Snijders; Heidi V N Küsters-Vandevelde; Peter J F Lucas; Johanna M A Pijnenborg
Journal:  PLoS Med       Date:  2020-05-15       Impact factor: 11.069

6.  Whole-Volume Tumor MRI Radiomics for Prognostic Modeling in Endometrial Cancer.

Authors:  Kristine E Fasmer; Erlend Hodneland; Julie A Dybvik; Kari Wagner-Larsen; Jone Trovik; Øyvind Salvesen; Camilla Krakstad; Ingfrid H S Haldorsen
Journal:  J Magn Reson Imaging       Date:  2020-11-16       Impact factor: 4.813

  6 in total

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