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Classification Systems of Endometrial Cancer: A Comparative Study about Old and New

Endometrial cancer is the most common gynecological malignancy of the female reproductive organs. Historically it was divided into type I and type II, until 2013 when the Cancer Genome Atlas molecular classification was proposed. Here, we applied the different classification types on our endometrial...

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Autores principales: Coada, Camelia Alexandra, Dondi, Giulia, Ravegnini, Gloria, De Leo, Antonio, Santini, Donatella, De Crescenzo, Eugenia, Tesei, Marco, Bovicelli, Alessandro, Giunchi, Susanna, Dormi, Ada, Di Stanislao, Marco, Morganti, Alessio G., De Biase, Dario, De Iaco, Pierandrea, Perrone, Anna Myriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774791/
https://www.ncbi.nlm.nih.gov/pubmed/35054199
http://dx.doi.org/10.3390/diagnostics12010033
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author Coada, Camelia Alexandra
Dondi, Giulia
Ravegnini, Gloria
De Leo, Antonio
Santini, Donatella
De Crescenzo, Eugenia
Tesei, Marco
Bovicelli, Alessandro
Giunchi, Susanna
Dormi, Ada
Di Stanislao, Marco
Morganti, Alessio G.
De Biase, Dario
De Iaco, Pierandrea
Perrone, Anna Myriam
author_facet Coada, Camelia Alexandra
Dondi, Giulia
Ravegnini, Gloria
De Leo, Antonio
Santini, Donatella
De Crescenzo, Eugenia
Tesei, Marco
Bovicelli, Alessandro
Giunchi, Susanna
Dormi, Ada
Di Stanislao, Marco
Morganti, Alessio G.
De Biase, Dario
De Iaco, Pierandrea
Perrone, Anna Myriam
author_sort Coada, Camelia Alexandra
collection PubMed
description Endometrial cancer is the most common gynecological malignancy of the female reproductive organs. Historically it was divided into type I and type II, until 2013 when the Cancer Genome Atlas molecular classification was proposed. Here, we applied the different classification types on our endometrial cancer patient cohort in order to identify the most predictive one. We enrolled 117 endometrial cancer patients available for the study and collected the following parameters: age, body mass index, stage, menopause, Lynch syndrome status, parity, hypertension, type of localization of the lesion at hysteroscopy, type of surgery and complications, and presence of metachronous or synchronous tumors. The tumors were classified according to the European Society for Medical Oncology, Proactive Molecular Risk Classifier for Endometrial Cancer, Post-Operative Radiation Therapy in Endometrial Carcinoma, and Cancer Genome Atlas classification schemes. Our data confirmed that European Society for Medical Oncology risk was the strongest predictor of prognosis in our cohort. The parameters correlated with poor prognosis were the histotype, FIGO stage, and grade. Our study cohort shows that risk stratification should be based on the integration of histologic, clinical, and molecular parameters.
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spelling pubmed-87747912022-01-21 Classification Systems of Endometrial Cancer: A Comparative Study about Old and New Coada, Camelia Alexandra Dondi, Giulia Ravegnini, Gloria De Leo, Antonio Santini, Donatella De Crescenzo, Eugenia Tesei, Marco Bovicelli, Alessandro Giunchi, Susanna Dormi, Ada Di Stanislao, Marco Morganti, Alessio G. De Biase, Dario De Iaco, Pierandrea Perrone, Anna Myriam Diagnostics (Basel) Article Endometrial cancer is the most common gynecological malignancy of the female reproductive organs. Historically it was divided into type I and type II, until 2013 when the Cancer Genome Atlas molecular classification was proposed. Here, we applied the different classification types on our endometrial cancer patient cohort in order to identify the most predictive one. We enrolled 117 endometrial cancer patients available for the study and collected the following parameters: age, body mass index, stage, menopause, Lynch syndrome status, parity, hypertension, type of localization of the lesion at hysteroscopy, type of surgery and complications, and presence of metachronous or synchronous tumors. The tumors were classified according to the European Society for Medical Oncology, Proactive Molecular Risk Classifier for Endometrial Cancer, Post-Operative Radiation Therapy in Endometrial Carcinoma, and Cancer Genome Atlas classification schemes. Our data confirmed that European Society for Medical Oncology risk was the strongest predictor of prognosis in our cohort. The parameters correlated with poor prognosis were the histotype, FIGO stage, and grade. Our study cohort shows that risk stratification should be based on the integration of histologic, clinical, and molecular parameters. MDPI 2021-12-24 /pmc/articles/PMC8774791/ /pubmed/35054199 http://dx.doi.org/10.3390/diagnostics12010033 Text en © 2021 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
Coada, Camelia Alexandra
Dondi, Giulia
Ravegnini, Gloria
De Leo, Antonio
Santini, Donatella
De Crescenzo, Eugenia
Tesei, Marco
Bovicelli, Alessandro
Giunchi, Susanna
Dormi, Ada
Di Stanislao, Marco
Morganti, Alessio G.
De Biase, Dario
De Iaco, Pierandrea
Perrone, Anna Myriam
Classification Systems of Endometrial Cancer: A Comparative Study about Old and New
title Classification Systems of Endometrial Cancer: A Comparative Study about Old and New
title_full Classification Systems of Endometrial Cancer: A Comparative Study about Old and New
title_fullStr Classification Systems of Endometrial Cancer: A Comparative Study about Old and New
title_full_unstemmed Classification Systems of Endometrial Cancer: A Comparative Study about Old and New
title_short Classification Systems of Endometrial Cancer: A Comparative Study about Old and New
title_sort classification systems of endometrial cancer: a comparative study about old and new
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774791/
https://www.ncbi.nlm.nih.gov/pubmed/35054199
http://dx.doi.org/10.3390/diagnostics12010033
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