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Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma

Objective: The molecular classification for endometrial cancer (EC) introduced by The Cancer Genome Atlas Research Network (TCGA) and the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) proved the existence of four molecular prognostic subtypes; however, both classifications req...

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Autores principales: Bounous, Valentina Elisabetta, Ferrero, Annamaria, Campisi, Paola, Fuso, Luca, Pezua Sanjinez, Jeremy Oscar Smith, Manassero, Sabrina, De Rosa, Giovanni, Biglia, Nicoletta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571045/
https://www.ncbi.nlm.nih.gov/pubmed/36233549
http://dx.doi.org/10.3390/jcm11195678
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author Bounous, Valentina Elisabetta
Ferrero, Annamaria
Campisi, Paola
Fuso, Luca
Pezua Sanjinez, Jeremy Oscar Smith
Manassero, Sabrina
De Rosa, Giovanni
Biglia, Nicoletta
author_facet Bounous, Valentina Elisabetta
Ferrero, Annamaria
Campisi, Paola
Fuso, Luca
Pezua Sanjinez, Jeremy Oscar Smith
Manassero, Sabrina
De Rosa, Giovanni
Biglia, Nicoletta
author_sort Bounous, Valentina Elisabetta
collection PubMed
description Objective: The molecular classification for endometrial cancer (EC) introduced by The Cancer Genome Atlas Research Network (TCGA) and the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) proved the existence of four molecular prognostic subtypes; however, both classifications require costly technology. We suggest a prognostic model for EC based on immunohistochemistry (IHC) and tumor-infiltrating lymphocytes (TILs). Study design: One hundred patients were included. We retrospectively investigated IHC prognostic parameters: mismatch repair (MMR)-deficient tumors, p53 mutation status, progesterone receptors (PgRs), and estrogen receptors (ERs). We further evaluated TILs. These parameters were related to the clinical and morphological features and to the outcome. Results: We classified tumors into three groups (IHC analysis): MMR-deficient, p53-mutated, p53 wild-type. MMR-deficient tumors had a good prognosis, p53 wild-type tumors an intermediate one, and p53-mutated tumors had the poorest outcomes. Disease-free (DFS) and overall survival (OS) were significantly better among PgR+ tumors (respectively p = 0.011 and p = 0.001) and PgR expression is an independent prognostic factor for a better DFS frommultivariate analysis (OR = 0.3; CI: 0.1–0.9; p = 0.03).No significant correlation was observed between DFS and TILs. However, among MMR-deficient tumors, the mean value of TILs was higher than among the other tumors(111 versus 71, p = 0.01) Conclusions: The prognostic model based on IHC markers could potentially be a valid and applicable alternative to the TCGA one. The PgR determination could represent an additional prognostic factor for EC.
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spelling pubmed-95710452022-10-17 Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma Bounous, Valentina Elisabetta Ferrero, Annamaria Campisi, Paola Fuso, Luca Pezua Sanjinez, Jeremy Oscar Smith Manassero, Sabrina De Rosa, Giovanni Biglia, Nicoletta J Clin Med Article Objective: The molecular classification for endometrial cancer (EC) introduced by The Cancer Genome Atlas Research Network (TCGA) and the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) proved the existence of four molecular prognostic subtypes; however, both classifications require costly technology. We suggest a prognostic model for EC based on immunohistochemistry (IHC) and tumor-infiltrating lymphocytes (TILs). Study design: One hundred patients were included. We retrospectively investigated IHC prognostic parameters: mismatch repair (MMR)-deficient tumors, p53 mutation status, progesterone receptors (PgRs), and estrogen receptors (ERs). We further evaluated TILs. These parameters were related to the clinical and morphological features and to the outcome. Results: We classified tumors into three groups (IHC analysis): MMR-deficient, p53-mutated, p53 wild-type. MMR-deficient tumors had a good prognosis, p53 wild-type tumors an intermediate one, and p53-mutated tumors had the poorest outcomes. Disease-free (DFS) and overall survival (OS) were significantly better among PgR+ tumors (respectively p = 0.011 and p = 0.001) and PgR expression is an independent prognostic factor for a better DFS frommultivariate analysis (OR = 0.3; CI: 0.1–0.9; p = 0.03).No significant correlation was observed between DFS and TILs. However, among MMR-deficient tumors, the mean value of TILs was higher than among the other tumors(111 versus 71, p = 0.01) Conclusions: The prognostic model based on IHC markers could potentially be a valid and applicable alternative to the TCGA one. The PgR determination could represent an additional prognostic factor for EC. MDPI 2022-09-26 /pmc/articles/PMC9571045/ /pubmed/36233549 http://dx.doi.org/10.3390/jcm11195678 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bounous, Valentina Elisabetta
Ferrero, Annamaria
Campisi, Paola
Fuso, Luca
Pezua Sanjinez, Jeremy Oscar Smith
Manassero, Sabrina
De Rosa, Giovanni
Biglia, Nicoletta
Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma
title Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma
title_full Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma
title_fullStr Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma
title_full_unstemmed Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma
title_short Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma
title_sort immunohistochemical markers and tils evaluation for endometrial carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571045/
https://www.ncbi.nlm.nih.gov/pubmed/36233549
http://dx.doi.org/10.3390/jcm11195678
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