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The molecular subtypes of endometrial carcinoma (EC) were first described by The Cancer Genome Atlas (TCGA) a decade ago. Using surrogate approaches, the molecular classification has been demonstrated to be prognostic across EC patients and to have predictive implications. Starting in 2020, the molecular classification has been incorporated into multiple guidelines as part of the risk assessment and most recently into the International Federation of Gynecology and Obstetrics (FIGO) staging. This review article discusses the implementation of the EC molecular classification into clinical practice, the therapeutic implications, and the molecular and clinical heterogeneity of the EC molecular subtypes.
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http://dx.doi.org/10.1002/jso.27552 | DOI Listing |
Genet Med
September 2025
Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, Fulham Road, London, UK. Electronic address:
Purpose: Hereditary Leiomyomatosis and Renal Cell Cancer (HLRCC) is a rare cancer susceptibility syndrome exclusively attributable to pathogenic variants in FH (HGNC:3700). This paper quantitatively weights the phenotypic context (PP4/PS4) of such very rare variants in FH.
Methods: We collated clinical diagnostic testing data on germline FH variants from 387 individuals with HLRCC and 1,780 individuals with renal cancer, and compared the frequency of 'very rare' variants in each phenotypic cohort against 562,295 population controls.
SAR QSAR Environ Res
September 2025
Laboratory of Drug Design and Discovery, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India.
Evaluating the permeability of different molecular structures across the Caco-2 cell line is crucial for drug discovery and development. The present study primarily focuses on developing machine learning-based multiclass classification models for predicting the permeability of molecules across the Caco-2 cell line. However, the class imbalance in permeability datasets poses a significant challenge for developing predictive models in the case of multiclass analysis.
View Article and Find Full Text PDFProteomics Clin Appl
September 2025
AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan.
Background: Endometrial carcinoma (EC) represents a significant clinical challenge due to its pronounced molecular heterogeneity, directly influencing prognosis and therapeutic responses. Accurate classification of molecular subtypes (CNV-high, CNV-low, MSI-H, POLE) and precise tumor mutational burden (TMB) assessment is crucial for guiding personalized therapeutic interventions. Integrating proteomics data with advanced machine learning (ML) techniques offers a promising strategy for achieving precise, clinically actionable classification and biomarker discovery in EC.
View Article and Find Full Text PDFHepatitis E virus (HEV) has emerged as a major agent of acute viral hepatitis, with zoonotic genotype 4 (HEV-4) representing a public health concern in China. In this study, we integrated province-wide enhanced hepatitis E surveillance data and molecular profiling from Shandong Province of eastern China, 2019-2023, with the aim of elucidating the epidemiology, genetic diversity, and clinical correlations of autochthonous HEV infections. In total, 5826 cases were reported during the study period, with 72.
View Article and Find Full Text PDFJ Fish Biol
September 2025
College of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Citrobacter freundii, a common zoonotic pathogen affecting humans, livestock and fish, is recognized for its substantial impact on largemouth bass (Micropterus salmoides) mortality. However, the mechanisms of C. freundii infection in largemouth bass remain poorly understood.
View Article and Find Full Text PDF