Next Article in Journal
Evaluation of the BioFire Gastrointestinal Panel to Detect Diarrheal Pathogens in Pediatric Patients
Previous Article in Journal
18F-FDG PET/CT in a Case of Urothelial Carcinoma in the Urachus Presenting as Colon Cancer
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Diagnostics
Volume 12
Issue 1
10.3390/diagnostics12010033
diagnostics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Camelia Alexandra Coada
1,†,
Giulia Dondi
2,3,†,
Gloria Ravegnini
4,†,
Antonio De Leo
3,5,
Donatella Santini
3,6,
Eugenia De Crescenzo
2,
Marco Tesei
2,3,
Alessandro Bovicelli
2,
Susanna Giunchi
2,
Ada Dormi
7,
Marco Di Stanislao
2,
Alessio G. Morganti
3,5,8,
Dario De Biase
3,4,
Pierandrea De Iaco
2,3,7 and
Anna Myriam Perrone
2,3,7,*
1
Center for Applied Biomedical Research, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy
2
Division of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
3
Centro di Studio e Ricerca delle Neoplasie Ginecologiche (CSR), University of Bologna, 40138 Bologna, Italy
4
Department of Pharmacy and Biotechnology (FABIT), University of Bologna, 40126 Bologna, Italy
5
Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
6
Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
7
Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
8
Radiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Diagnostics 2022, 12(1), 33; https://doi.org/10.3390/diagnostics12010033
Submission received: 30 November 2021 / Revised: 20 December 2021 / Accepted: 22 December 2021 / Published: 24 December 2021
(This article belongs to the Section Pathology and Molecular Diagnostics)
Browse Figures
Review Reports Versions Notes

Abstract

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.
Keywords: endometrial cancer; TCGA; prognosis; ProMisE; ESMO risk endometrial cancer; TCGA; prognosis; ProMisE; ESMO risk

Share and Cite

MDPI and ACS Style

Coada, C.A.; Dondi, G.; Ravegnini, G.; De Leo, A.; Santini, D.; De Crescenzo, E.; Tesei, M.; Bovicelli, A.; Giunchi, S.; Dormi, A.; et al. Classification Systems of Endometrial Cancer: A Comparative Study about Old and New. Diagnostics 2022, 12, 33. https://doi.org/10.3390/diagnostics12010033

AMA Style

Coada CA, Dondi G, Ravegnini G, De Leo A, Santini D, De Crescenzo E, Tesei M, Bovicelli A, Giunchi S, Dormi A, et al. Classification Systems of Endometrial Cancer: A Comparative Study about Old and New. Diagnostics. 2022; 12(1):33. https://doi.org/10.3390/diagnostics12010033

Chicago/Turabian Style

Coada, Camelia Alexandra, Giulia Dondi, Gloria Ravegnini, Antonio De Leo, Donatella Santini, Eugenia De Crescenzo, Marco Tesei, Alessandro Bovicelli, Susanna Giunchi, Ada Dormi, and et al. 2022. "Classification Systems of Endometrial Cancer: A Comparative Study about Old and New" Diagnostics 12, no. 1: 33. https://doi.org/10.3390/diagnostics12010033

APA Style

Coada, C. A., Dondi, G., Ravegnini, G., De Leo, A., Santini, D., De Crescenzo, E., Tesei, M., Bovicelli, A., Giunchi, S., Dormi, A., Di Stanislao, M., Morganti, A. G., De Biase, D., De Iaco, P., & Perrone, A. M. (2022). Classification Systems of Endometrial Cancer: A Comparative Study about Old and New. Diagnostics, 12(1), 33. https://doi.org/10.3390/diagnostics12010033

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop