Related Experiment Video
Updated: Oct 5, 2025

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Molecular classification of endometrial carcinoma, is it the new era of precision medicine?
Mariusz Bidzinski1, Anna Danska-Bidzinska2, Agnieszka Rychlik1
1Department of Gynecologic Oncology, Maria Sklodowska-Curie National Research Institute of Oncology Warsaw, Poland.
Abstract:
For many years endometrial cancer has been subdivided into oestrogen - dependent (type I) and oestrogen - independent (type II), according to classical Bokhman classification. Histopathological evaluation including type and grade of tumour, along with clinical factors have been considered as very important prognostic factors that impact treatment decision. However, histologically similar tumours may have different outcomes. Recent molecular findings and new histopathological parameters have given new concept on risk stratification. The Cancer Genome Atlas Research Network (TCGA) of tumours have brought new insights into endometrial cancer management. Four molecular subgroups have been described: POLE ultramutated (POLE mut), p53 mutant (p53abn), mismatch repair deficient (MMRd) and non-specific molecular profile (NSMP). This new subdivision has been recently introduced in the European risk stratification system.
More Related Videos
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
11:12Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Related Concept Videos
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Targeted Cancer Therapies
There are several types of targeted therapies against...