Recently, guidelines for endometrial cancer (EC) were released that guide treatment decisions according to the tumors' molecular profiles. To date, no real-world data regarding the clinical feasibility of molecular profiling have been released. This retrospective, monocentric study investigated the clinical feasibility of molecular profiling and its potential impact on treatment decisions. Tumor specimens underwent molecular profiling (testing for genetic alterations, (immune-)histological examination of lymphovascular space invasion (LVSI), and L1CAM) as part of the clinical routine and were classified according to the European Society for Medical Oncology (ESMO) classification system and to an integrated molecular risk stratification. Shifts between risk groups and potential treatment alterations are described. A total of 60 cases were included, of which twelve were excluded (20%), and eight of the remaining 48 were not characterized (drop-out rate of 16.7%). Molecular profiling revealed 4, 6, 25, and 5 patients with DNA polymerase-epsilon mutation, microsatellite instability, no specific molecular profile, and TP53 mutation, respectively. Three patients had substantial LVSI, and four patients showed high L1CAM expression. Molecular profiling took a median of 18.5 days. Substantial shifts occurred between the classification systems: four patients were upstaged, and 19 patients were downstaged. Molecular profiling of EC specimens is feasible in a daily routine, and new risk classification systems will change treatment decisions substantially.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830511PMC
http://dx.doi.org/10.3390/jpm11010048DOI Listing

Publication Analysis

Top Keywords

molecular profiling
28
treatment decisions
12
molecular
10
endometrial cancer
8
clinical feasibility
8
feasibility molecular
8
classification systems
8
profiling
7
patients
6
risk
4

Similar Publications

Spatial profiling of tissues promises to elucidate tumor-microenvironment interactions and generate prognostic and predictive biomarkers. We analyzed single-cell, spatial data from three multiplex imaging technologies: cyclic immunofluorescence (CycIF) data we generated from 102 breast cancer patients with clinical follow-up, and publicly available imaging mass cytometry and multiplex ion-beam imaging datasets. Similar single-cell phenotyping results across imaging platforms enabled combined analysis of epithelial phenotypes to delineate prognostic subtypes among estrogen-receptor positive (ER+) patients.

View Article and Find Full Text PDF

Objective: This study aimed to evaluate the occurrence of methicillin-resistant Staphylococcus aureus (MRSA) at the University Hospital Olomouc (UHO) over a 10-year period (2013-2022).

Material And Methods: Data was obtained from the ENVIS LIMS laboratory information system (DS Soft, Czech Republic, Olomouc) of the Department of Microbiology, UHO, for the period 1/1/2013-31/12/2022. Standard microbiological procedures using the MALDI-TOF MS system (Biotyper Microflex, Bruker Daltonics) were applied for the identification.

View Article and Find Full Text PDF

Phytochemicals in Obesity Management: Mechanisms and Clinical Perspectives.

Curr Nutr Rep

January 2025

Research and Development cell, Department of Intellectual property Rights, Lovely Professional University, Jalandhar- Delhi Grand Trunk Rd., Phagwara, Punjab, 144411, India.

Purpose Of Review: This review explores the mechanistic pathways and clinical implications of phytochemicals in obesity management, addressing the global health crisis of obesity and the pressing need for effective, natural strategies to combat this epidemic.

Recent Findings: Phytochemicals demonstrate significant potential in obesity control through various molecular mechanisms. These include the modulation of adipogenesis, regulation of lipid metabolism, enhancement of energy expenditure, and suppression of appetite.

View Article and Find Full Text PDF

Hemorrhagic stroke is a known complication of glioma, yet the underlying mechanisms remain poorly understood. This study aims to investigate key biomarkers of glioma-related hemorrhage to provide insights into glioma molecular therapies. Data were obtained from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases to analyze differentially expressed genes (DEGs) in glioma by contrasting glioblastoma (GBM) with low-grade gliomas (LGGs).

View Article and Find Full Text PDF

Race and ethnicity affect the distribution of molecular alterations seen in patients with non-small cell lung cancer (NSCLC). While anaplastic lymphoma kinase (ALK) alterations are known to occur in 4-5% of the population, data specific to the Hispanic population remains limited. This study describes the real-world incidence of ALK alterations in Hispanic patients with NSCLC treated at a large academic institution in Los Angeles, California, USA to further elucidate the underlying factors that shape differences in mutational profiles.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!