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Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification

Molecular subclassification of endometrial carcinoma (EC) with Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) identifies four subtypes [DNA polymerase epsilon (POLE) mutant, mismatch repair‐deficient, p53 wild‐type (wt), and p53 abnormal]. The aim of this study was to evaluate...

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Autores principales: Karnezis, Anthony N, Leung, Samuel, Magrill, Jamie, McConechy, Melissa K, Yang, Winnie, Chow, Christine, Kobel, Martin, Lee, Cheng-Han, Huntsman, David G, Talhouk, Aline, Kommoss, Friederich, Gilks, C Blake, McAlpine, Jessica N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653931/
https://www.ncbi.nlm.nih.gov/pubmed/29085668
http://dx.doi.org/10.1002/cjp2.82
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author Karnezis, Anthony N
Leung, Samuel
Magrill, Jamie
McConechy, Melissa K
Yang, Winnie
Chow, Christine
Kobel, Martin
Lee, Cheng-Han
Huntsman, David G
Talhouk, Aline
Kommoss, Friederich
Gilks, C Blake
McAlpine, Jessica N
author_facet Karnezis, Anthony N
Leung, Samuel
Magrill, Jamie
McConechy, Melissa K
Yang, Winnie
Chow, Christine
Kobel, Martin
Lee, Cheng-Han
Huntsman, David G
Talhouk, Aline
Kommoss, Friederich
Gilks, C Blake
McAlpine, Jessica N
author_sort Karnezis, Anthony N
collection PubMed
description Molecular subclassification of endometrial carcinoma (EC) with Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) identifies four subtypes [DNA polymerase epsilon (POLE) mutant, mismatch repair‐deficient, p53 wild‐type (wt), and p53 abnormal]. The aim of this study was to evaluate additional EC biomarkers in the context of these subtypes. Tissue microarrays encompassing 460 previously characterized ECs were assessed for L1‐cell adhesion molecule (L1CAM), progesterone receptor (PR), estrogen receptor (ER) alpha, stathmin, and phosphatase and tensin homolog (PTEN), by immunohistochemistry (IHC). Associations with clinicopathological parameters, molecular subtype, and outcomes were determined. About 413 ECs (75% endometrioid, >15% serous) had complete data. L1CAM overexpression was found in 16%, associated with older age, lower body mass index (BMI), advanced stage, grade 3 (97%), non‐endometrioid histology (84%), deep myometrial invasion, lymphovascular space invasion (LVSI), and ER‐negative, PR‐negative status. Tumours overexpressing L1CAM were associated with poor outcomes {hazard ratio (HR) [95% confidence interval (CI)] 3.35 [2.10–5.23] for disease‐specific survival [DSS], p < 0.0001}. PR positivity was associated with younger women, higher BMI, early stage (77% stage I), low grade (61%), endometrioid histology (90%) without LVSI or nodal disease, ER positivity (90%), p53wt tumours (55%), and favourable outcomes [HR (CI) 0.39 (0.25–0.62) for DSS, p < 0.0001]. ER positive tumours were early stage (73%), low grade, endometrioid histology, with improved DSS. Stathmin and PTEN IHC were not associated with outcomes. There was minimal agreement between IHC and mutation status for PTEN. L1CAM overexpression was significantly associated with the p53 abnormal molecular subtype, which accounted for more than 70% of the tumours overexpressing L1CAM. PR expression also correlated with molecular subtype, with most PR negative tumours being p53 abnormal. Multivariable analysis demonstrated that only ProMisE subtype [overall survival (OS), DSS, and progression‐free survival] and age (OS only) maintained an association with outcomes. The prognostic significance of the single biomarkers tested could be explained based on their being covariable with the ProMisE molecular subtype.
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spelling pubmed-56539312017-10-30 Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification Karnezis, Anthony N Leung, Samuel Magrill, Jamie McConechy, Melissa K Yang, Winnie Chow, Christine Kobel, Martin Lee, Cheng-Han Huntsman, David G Talhouk, Aline Kommoss, Friederich Gilks, C Blake McAlpine, Jessica N J Pathol Clin Res Original Articles Molecular subclassification of endometrial carcinoma (EC) with Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) identifies four subtypes [DNA polymerase epsilon (POLE) mutant, mismatch repair‐deficient, p53 wild‐type (wt), and p53 abnormal]. The aim of this study was to evaluate additional EC biomarkers in the context of these subtypes. Tissue microarrays encompassing 460 previously characterized ECs were assessed for L1‐cell adhesion molecule (L1CAM), progesterone receptor (PR), estrogen receptor (ER) alpha, stathmin, and phosphatase and tensin homolog (PTEN), by immunohistochemistry (IHC). Associations with clinicopathological parameters, molecular subtype, and outcomes were determined. About 413 ECs (75% endometrioid, >15% serous) had complete data. L1CAM overexpression was found in 16%, associated with older age, lower body mass index (BMI), advanced stage, grade 3 (97%), non‐endometrioid histology (84%), deep myometrial invasion, lymphovascular space invasion (LVSI), and ER‐negative, PR‐negative status. Tumours overexpressing L1CAM were associated with poor outcomes {hazard ratio (HR) [95% confidence interval (CI)] 3.35 [2.10–5.23] for disease‐specific survival [DSS], p < 0.0001}. PR positivity was associated with younger women, higher BMI, early stage (77% stage I), low grade (61%), endometrioid histology (90%) without LVSI or nodal disease, ER positivity (90%), p53wt tumours (55%), and favourable outcomes [HR (CI) 0.39 (0.25–0.62) for DSS, p < 0.0001]. ER positive tumours were early stage (73%), low grade, endometrioid histology, with improved DSS. Stathmin and PTEN IHC were not associated with outcomes. There was minimal agreement between IHC and mutation status for PTEN. L1CAM overexpression was significantly associated with the p53 abnormal molecular subtype, which accounted for more than 70% of the tumours overexpressing L1CAM. PR expression also correlated with molecular subtype, with most PR negative tumours being p53 abnormal. Multivariable analysis demonstrated that only ProMisE subtype [overall survival (OS), DSS, and progression‐free survival] and age (OS only) maintained an association with outcomes. The prognostic significance of the single biomarkers tested could be explained based on their being covariable with the ProMisE molecular subtype. John Wiley and Sons Inc. 2017-10-14 /pmc/articles/PMC5653931/ /pubmed/29085668 http://dx.doi.org/10.1002/cjp2.82 Text en © 2017 The Authors The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Karnezis, Anthony N
Leung, Samuel
Magrill, Jamie
McConechy, Melissa K
Yang, Winnie
Chow, Christine
Kobel, Martin
Lee, Cheng-Han
Huntsman, David G
Talhouk, Aline
Kommoss, Friederich
Gilks, C Blake
McAlpine, Jessica N
Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification
title Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification
title_full Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification
title_fullStr Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification
title_full_unstemmed Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification
title_short Evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification
title_sort evaluation of endometrial carcinoma prognostic immunohistochemistry markers in the context of molecular classification
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653931/
https://www.ncbi.nlm.nih.gov/pubmed/29085668
http://dx.doi.org/10.1002/cjp2.82
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