Molecular Classification of Endometrial Cancer and the 2023 FIGO Staging: Exploring the Challenges and Opportunities for Pathologists.
Wenxin ZhengPublished in: Cancers (2023)
This commentary explores the complexities of the FIGO 2023 staging system and the inclusion of The Cancer Genome Atlas's (TCGA) molecular classification in the management of endometrial cancer. It highlights the importance of histology as a prognostic tool, while scrutinizing the merits and demerits of its application to aggressive endometrial cancers. The commentary review sheds light on the recent introductions of lymphovascular space invasion (LVSI) and lymph node metastasis size in cancer staging. It outlines the difficulties in differentiating between synchronous and metastatic endometrial and ovarian cancers, underlining their implications on treatment strategies. Furthermore, the commentary discusses the integration of molecular classifications within the FIGO 2023 framework, emphasizing the pivotal yet challenging implementation of the pathogenic POLE mutation test. The commentary concludes by reaffirming the vital role of pathologists in executing the FIGO 2023 staging system.
Keyphrases
- endometrial cancer
- papillary thyroid
- lymph node metastasis
- lymph node
- pet ct
- squamous cell carcinoma
- machine learning
- deep learning
- squamous cell
- small cell lung cancer
- childhood cancer
- healthcare
- single molecule
- magnetic resonance imaging
- single cell
- gene expression
- computed tomography
- dna methylation
- magnetic resonance