Combination of Proactive Molecular Risk Classifier for Endometrial cancer (ProMisE) with sonographic and demographic characteristics in preoperative prediction of recurrence or progression of endometrial cancer
| Autor: | Joseph W. Carlson, Sara Imboden, H. Järnbert‐Pettersson, Denis Nastic, Elisabeth Epstein, L. S. E. Eriksson, Pelle G. Lindqvist |
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| Rok vydání: | 2020 |
| Předmět: |
Oncology
medicine.medical_specialty Waist Logistic regression Single Center molecular diagnostics Obstetrics and gynaecology Interquartile range Predictive Value of Tests Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Prospective Studies Aged Original Paper Radiological and Ultrasound Technology business.industry Proportional hazards model Endometrial cancer Obstetrics and Gynecology risk assessment General Medicine ultrasonography Middle Aged medicine.disease Original Papers neoplasm assessment Endometrial Neoplasms Molecular Typing Logistic Models Reproductive Medicine ROC Curve Preoperative Period Vagina Disease Progression Female endometrial neoplasm Neoplasm Recurrence Local business Endometrial Neoplasm |
| Zdroj: | Ultrasound in Obstetrics & Gynecology |
| ISSN: | 1469-0705 |
| Popis: | Objective To evaluate the ability of demographic and sonographic variables and the Proactive Molecular Risk Classifier for Endometrial cancer (ProMisE) classification to predict preoperatively tumor recurrence or progression in women with endometrial cancer. Methods The study included 339 women with histologically confirmed endometrial cancer who underwent expert transvaginal ultrasound in a single center before surgery as part of the prospective International Endometrial Tumor Analysis 4 study or who were evaluated using the same protocol. The tumors were classified according to histotype, FIGO (International Federation of Gynecology and Obstetrics) grade and FIGO stage. In addition, molecular analysis was performed for classification into the four ProMisE subtypes: polymerase‐ϵ exonuclease domain mutations (POLE EDM), mismatch repair proteins deficiency (MMR‐D), protein 53 wild type (p53 wt) and protein 53 abnormal (p53 abn). Demographic and preoperative sonographic characteristics, tumor recurrence or progression and survival were compared between the ProMisE subgroups. Cox regression analysis was used to identify prognostic factors associated with recurrence or progression, using univariable models to study crude associations and multivariable models to study adjusted associations. Logistic regression and receiver‐operating‐characteristics (ROC)‐curve analysis were used to assess the predictive ability of the preoperative prognostic factors regarding recurrence or progression of cancer within 3 years after surgery, and to compare their predictive ability to that of the European Society for Medical Oncology (ESMO) preoperative (based on depth of myometrial invasion, histotype and grade) and postoperative (based on histotype, grade, surgical stage and lymphovascular space invasion) risk classifications. In a separate subanalysis, cases were stratified according to ProMisE p53 abn status (present vs absent) and sonographic tumor size (anteroposterior (AP) diameter |
| Databáze: | OpenAIRE |
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