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...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/12/1/33 |
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| author | Camelia Alexandra Coada Giulia Dondi Gloria Ravegnini Antonio De Leo Donatella Santini Eugenia De Crescenzo Marco Tesei Alessandro Bovicelli Susanna Giunchi Ada Dormi Marco Di Stanislao Alessio G. Morganti Dario De Biase Pierandrea De Iaco Anna Myriam Perrone |
| author_facet | Camelia Alexandra Coada Giulia Dondi Gloria Ravegnini Antonio De Leo Donatella Santini Eugenia De Crescenzo Marco Tesei Alessandro Bovicelli Susanna Giunchi Ada Dormi Marco Di Stanislao Alessio G. Morganti Dario De Biase Pierandrea De Iaco Anna Myriam Perrone |
| author_sort | Camelia Alexandra Coada |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T01:39:15Z |
| format | Article |
| id | doaj.art-44aa29a3036446f48b7e2ff29adb8fb0 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T01:39:15Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-44aa29a3036446f48b7e2ff29adb8fb02023-11-23T13:27:04ZengMDPI AGDiagnostics2075-44182021-12-011213310.3390/diagnostics12010033Classification Systems of Endometrial Cancer: A Comparative Study about Old and NewCamelia Alexandra Coada0Giulia Dondi1Gloria Ravegnini2Antonio De Leo3Donatella Santini4Eugenia De Crescenzo5Marco Tesei6Alessandro Bovicelli7Susanna Giunchi8Ada Dormi9Marco Di Stanislao10Alessio G. Morganti11Dario De Biase12Pierandrea De Iaco13Anna Myriam Perrone14Center for Applied Biomedical Research, Alma Mater Studiorum-University of Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, 40126 Bologna, ItalyCentro di Studio e Ricerca delle Neoplasie Ginecologiche (CSR), University of Bologna, 40138 Bologna, ItalyCentro di Studio e Ricerca delle Neoplasie Ginecologiche (CSR), University of Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyCentro di Studio e Ricerca delle Neoplasie Ginecologiche (CSR), University of Bologna, 40138 Bologna, ItalyCentro di Studio e Ricerca delle Neoplasie Ginecologiche (CSR), University of Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyEndometrial 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.https://www.mdpi.com/2075-4418/12/1/33endometrial cancerTCGAprognosisProMisEESMO risk |
| spellingShingle | Camelia Alexandra Coada Giulia Dondi Gloria Ravegnini Antonio De Leo Donatella Santini Eugenia De Crescenzo Marco Tesei Alessandro Bovicelli Susanna Giunchi Ada Dormi Marco Di Stanislao Alessio G. Morganti Dario De Biase Pierandrea De Iaco Anna Myriam Perrone Classification Systems of Endometrial Cancer: A Comparative Study about Old and New Diagnostics endometrial cancer TCGA prognosis ProMisE ESMO risk |
| 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 | endometrial cancer TCGA prognosis ProMisE ESMO risk |
| url | https://www.mdpi.com/2075-4418/12/1/33 |
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