Literature DB >> 34127276

Implementation of the 2021 molecular ESGO/ESTRO/ESP risk groups in endometrial cancer.

Sara Imboden1, Denis Nastic2, Mehran Ghaderi2, Filippa Rydberg2, Franziska Siegenthaler1, Michael D Mueller1, Tilman T Rau3, Elisabeth Epstein4, Joseph W Carlson5.   

Abstract

INTRODUCTION: In 2021, a joint ESGO/ESTRO/ESP committee updated their evidence-based guidelines for endometrial cancer, recommending a new risk grouping incorporating both clinicopathologic and molecular parameters. We applied the new risk grouping and compared the results to those of the prior 2016 clinicopathologic system.
MATERIALS AND METHODS: We classified molecularly a cohort of 604 women diagnosed with endometrial cancer using immunohistochemistry for TP53 and MMR proteins on a tissue microarray, as well as Sanger sequencing for POLE mutations. These results, combined with clinicopathologic data, allowed the patients to be risk grouped using both the new 2021 molecular/clinicopathologic parameters and the prior 2016 clinicopathologic system.
RESULTS: The application of the 2021 molecular markers shows Kaplan-Meier curves with a significant difference between the groups for all survival. Molecular classification under the 2021 guidelines revealed a total of 39 patients (39/594, 7%) with a change in risk group in relation to the 2016 classification system: the shift was alone due to either P53abn or POLEmut molecular marker. In order to ensure correct 2021 molecular risk classification, not all patients with endometrial cancer need a molecular diagnostic: 433 (72.9%) cases would need to be analyzed by TP53 IHC, only 46 (7.7%) by MMR IHC and 286 (48.1%) POLE sequencing reactions.
CONCLUSION: Application of the 2021 molecular risk groups is feasible and shows significant differences in survival. IHC for TP53 and MMR and applying POLE sequencing is only needed in selected cases and leads to shifting risk groups both upward and downward for a sizeable number of patients. It is possible to significantly reduce the number of analyses required to implement the classification if resources are limited.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Endometrial cancer; Genomic subgroups; MMR; P53; POLE; Risk group

Mesh:

Substances:

Year:  2021        PMID: 34127276     DOI: 10.1016/j.ygyno.2021.05.026

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  10 in total

Review 1.  Endometrial Cancer: Transitioning from Histology to Genomics.

Authors:  Cristina Mitric; Marcus Q Bernardini
Journal:  Curr Oncol       Date:  2022-01-31       Impact factor: 3.677

Review 2.  The Role of CTNNB1 in Endometrial Cancer.

Authors:  Živa Ledinek; Monika Sobočan; Jure Knez
Journal:  Dis Markers       Date:  2022-04-28       Impact factor: 3.464

Review 3.  Clinical Value and Molecular Function of Circulating MicroRNAs in Endometrial Cancer Regulation: A Systematic Review.

Authors:  Joy Bloomfield; Michèle Sabbah; Mathieu Castela; Céline Mehats; Catherine Uzan; Geoffroy Canlorbe
Journal:  Cells       Date:  2022-06-03       Impact factor: 7.666

4.  Selection of endometrial carcinomas for p53 immunohistochemistry based on nuclear features.

Authors:  Eun Young Kang; Nicholas Jp Wiebe; Christa Aubrey; Cheng-Han Lee; Michael S Anglesio; Derek Tilley; Prafull Ghatage; Gregg S Nelson; Sandra Lee; Martin Köbel
Journal:  J Pathol Clin Res       Date:  2021-10-01

5.  Clinicopathologic vs. Molecular Integrated Prognostication of Endometrial Carcinoma by European Guidelines.

Authors:  Mikko Loukovaara; Annukka Pasanen; Ralf Bützow
Journal:  Cancers (Basel)       Date:  2022-01-27       Impact factor: 6.639

6.  Prognosis Stratification Tools in Early-Stage Endometrial Cancer: Could We Improve Their Accuracy?

Authors:  Jorge Luis Ramon-Patino; Ignacio Ruz-Caracuel; Victoria Heredia-Soto; Luis Eduardo Garcia de la Calle; Bulat Zagidullin; Yinyin Wang; Alberto Berjon; Alvaro Lopez-Janeiro; Maria Miguel; Javier Escudero; Alejandro Gallego; Beatriz Castelo; Laura Yebenes; Alicia Hernandez; Jaime Feliu; Alberto Pelaez-García; Jing Tang; David Hardisson; Marta Mendiola; Andres Redondo
Journal:  Cancers (Basel)       Date:  2022-02-12       Impact factor: 6.639

7.  The prognosis of endometrial cancers stratified with conventional risk factors and modified molecular classification.

Authors:  Hiroyuki Yamazaki; Hiroshi Asano; Kanako C Hatanaka; Ryosuke Matsuoka; Yosuke Konno; Yoshihiro Matsuno; Yutaka Hatanaka; Hidemichi Watari
Journal:  Cancer Sci       Date:  2022-07-13       Impact factor: 6.518

8.  Pathological processing of sentinel lymph nodes in endometrial carcinoma - routine aspects of grossing, ultra-staging, and surgico-pathological parameters in a series of 833 lymph nodes.

Authors:  Tilman T Rau; Mona V Deppeler; Lucine Christe; Franziska Siegenthaler; Sara Imboden; Andrea Papadia; Michael D Mueller
Journal:  Virchows Arch       Date:  2022-07-19       Impact factor: 4.535

9.  Further refining 2020 ESGO/ESTRO/ESP molecular risk classes in patients with early-stage endometrial cancer: A propensity score-matched analysis.

Authors:  Camilla Nero; Tina Pasciuto; Serena Cappuccio; Giacomo Corrado; Silvia Pelligra; Gian Franco Zannoni; Angela Santoro; Alessia Piermattei; Angelo Minucci; Domenica Lorusso; Francesco Fanfani; Giovanni Scambia
Journal:  Cancer       Date:  2022-05-26       Impact factor: 6.921

10.  Follicular Helper T-Cell-Based Classification of Endometrial Cancer Promotes Precise Checkpoint Immunotherapy and Provides Prognostic Stratification.

Authors:  Yi Chen; Shuwen You; Jie Li; Yifan Zhang; Georgia Kokaraki; Elisabeth Epstein; Joseph Carlson; Wen-Kuan Huang; Felix Haglund
Journal:  Front Immunol       Date:  2022-01-07       Impact factor: 7.561

  10 in total

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