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

被引:4
作者
Coada, Camelia Alexandra [1 ]
Dondi, Giulia [2 ,3 ]
Ravegnini, Gloria [4 ]
De Leo, Antonio [3 ,5 ]
Santini, Donatella [3 ,6 ]
De Crescenzo, Eugenia [2 ]
Tesei, Marco [2 ,3 ]
Bovicelli, Alessandro [2 ]
Giunchi, Susanna [2 ]
Dormi, Ada [7 ]
Di Stanislao, Marco [2 ]
Morganti, Alessio G. [3 ,5 ,8 ]
De Biase, Dario [3 ,4 ]
De Iaco, Pierandrea [2 ,3 ,7 ]
Perrone, Anna Myriam [2 ,3 ,7 ]
机构
[1] Alma Mater Studiorum Univ Bologna, Ctr Appl Biomed Res, I-40138 Bologna, Italy
[2] IRCCS Azienda Osped Univ Bologna, Div Gynecol Oncol, I-40138 Bologna, Italy
[3] Univ Bologna, Ctr Studio & Ric Neoplasie Ginecol CSR, I-40138 Bologna, Italy
[4] Univ Bologna, Dept Pharm & Biotechnol FABIT, I-40126 Bologna, Italy
[5] Univ Bologna, Dept Expt Diagnost & Specialty Med, I-40138 Bologna, Italy
[6] IRCCS Azienda Osped Univ Bologna, Pathol Unit, I-40138 Bologna, Italy
[7] Univ Bologna, Dept Med & Surg Sci DIMEC, I-40138 Bologna, Italy
[8] IRCCS Azienda Osped Univ Bologna, Radiat Oncol, I-40138 Bologna, Italy
关键词
endometrial cancer; TCGA; prognosis; ProMisE; ESMO risk; CLINICAL-PRACTICE GUIDELINES; INVASION; DIAGNOSIS; PROMISE; PATTERN;
D O I
10.3390/diagnostics12010033
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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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页数:15
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