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© 2022. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This study aimed to validate the Proactive Molecular Risk Classifier for Endometrial Cancer, a modified version of The Cancer Genome Atlas, using data from 184 patients with endometrial cancer (median age: 57.5 years; median follow‐up period: 109 months) who had undergone radical surgery (including systemic lymphadenectomy) and subsequent adjuvant chemotherapy (patients with intermediate or high recurrence risk) from 2003 to 2015. Tissue microarrays were prepared from surgical specimens and classified using the conventional clinical risk classifier. Immunohistochemistry was used to detect mismatch repair proteins, L1 cell adhesion molecule, and p53. Direct sequencing was used to identify hotspot mutations in the polymerase‐epsilon gene. Forty‐five patients were identified as having high L1 cell adhesion molecule expression, 41 as low risk, 34 as mismatch repair‐deficient, 13 as polymerase‐epsilon gene‐mutated, five as having abnormal p53, and 46 as other. Patients were stratified into significantly different prognostic groups (p < 0.0001): favorable (low risk and polymerase‐epsilon gene‐mutated), intermediate (mismatch repair‐deficient and other), and unfavorable (high L1 cell adhesion molecule expression and abnormal p53) with 5‐year disease‐specific survival rates of 100%, 93.8%, and 75.1%, respectively (Kaplan–Meier method). The combination of conventional recurrent risk classification, sequencing for polymerase‐epsilon gene mutations and immunohistochemistry for L1 cell adhesion molecule, p53, and mismatch repair proteins can be used to determine the prognoses of patients with endometrial cancer.

Details

Title
The prognosis of endometrial cancers stratified with conventional risk factors and modified molecular classification
Author
Yamazaki, Hiroyuki 1   VIAFID ORCID Logo  ; Asano, Hiroshi 1 ; Hatanaka, Kanako C 2 ; Matsuoka, Ryosuke 3 ; Konno, Yosuke 1 ; Matsuno, Yoshihiro 4 ; Hatanaka, Yutaka 2 ; Watari, Hidemichi 1 

 Department of Obstetrics and Gynecology, Graduate School of Medicine and Faculty of Medicine, Hokkaido University, Sapporo, Japan 
 Center for Development of Advanced Diagnostics, Institute of Health Science Innovation for Medical Care Hokkaido University Hospital, Sapporo, Japan; Research Division of Genome Companion Diagnostics, Hokkaido University Hospital, Sapporo, Japan 
 Department of Pathology, International University of Health and Welfare Narita Hospital, Narita, Japan 
 Department of Surgical Pathology, Hokkaido University Hospital, Sapporo, Japan 
Pages
3134-3147
Section
ORIGINAL ARTICLES
Publication year
2022
Publication date
Sep 2022
Publisher
John Wiley & Sons, Inc.
ISSN
13479032
e-ISSN
13497006
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2711731678
Copyright
© 2022. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.