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Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification
Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification
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Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification
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Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification
Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification

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Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification
Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification
Journal Article

Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification

2021
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Overview
Endometrial cancer (EC) is the most common gynaecologic malignancy in developed countries. The main challenge in EC management is to correctly estimate the risk of metastases at diagnosis and the risk to develop recurrences in the future. Risk stratification determines the need for surgical staging and adjuvant treatment. Detection of occult, microscopic metastases upstages patients, provides important prognostic information and guides adjuvant treatment. The molecular classification subdivides EC into four prognostic subgroups: POLE ultramutated; mismatch repair deficient (MMRd); nonspecific molecular profile (NSMP); and TP53 mutated (p53abn). How surgical staging should be adjusted based on preoperative molecular profiling is currently unknown. Moreover, little is known whether and how other known prognostic biomarkers affect prognosis prediction independent of or in addition to these molecular subgroups. This review summarizes the factors incorporated in surgical staging (i.e., peritoneal washing, lymph node dissection, omentectomy and peritoneal biopsies), and its impact on prognosis and adjuvant treatment decisions in an era of molecular classification of EC. Moreover, the relation between FIGO stage and molecular classification is evaluated including the current gaps in knowledge and future perspectives.