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Objective: Endometrial carcinoma represents the most common gynaecological cancer and the sixth most frequent cancer among women worldwide. The 5-year survival of patients with stage I endometrial carcinoma is 75%-88% versus 50% for stage III or 15% for stage IV disease. Therefore, early detection could improve survival rates. Specifically, in the most prevalent, type 1 endometrial cancer develops from hyperplastic endometrium. The aim of the study was to evaluate the utility of cancer gene mutations from endometrial biopsies towards predicting synchronous or metachronous development of malignant lesions. The aim of the study was to evaluate whether endometrial biopsies could already carry mutations in cancer genes useful for predicting or anticipating subsequent cancer development.
Methods: Patients with a previous endometrial biopsy negative for cancer, followed by a subsequent biopsy positive for cancer, were included in the study. A fifty cancer genes targeted next-generation sequencing panel were used to investigate mutations in matched non-cancerous and malignant samples.
Results: All biopsies from cancer tissues harboured mutations in one or more of the following genes: APC, CTNNB1, FBXW7, HNF1A, KRAS, MTOR, NRAS, PIK3CA, PTEN, RB1 and TP53. Additionally, 50% of the biopsies from matched non-cancerous tissues exhibited mutations in PTEN, KRAS or PIK3CA genes.
Conclusions: These results suggest that detecting pathogenic mutations in oncogenes or tumour suppressor genes in an otherwise benign condition is associated with a risk of developing a malignant disease. Given the identification of mutations several months or years before the appearance of a malignancy, our finding suggests that a closer monitoring of patients who present such molecular alterations in non-cancerous uterine mass is warranted.
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http://dx.doi.org/10.1111/ecc.13137 | DOI Listing |
Cureus
August 2025
Department of Thoracic Surgery, Instituto Guatemalteco de Seguridad Social, Guatemala City, GTM.
Endometrial adenocarcinoma frequently metastasizes to distant organs, with the lungs being a common site. Pulmonary metastases typically present as multiple nodules. However, solitary lesions are uncommon and may offer surgical opportunities.
View Article and Find Full Text PDFBioact Mater
December 2025
Division of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
The endometrium is a vital mucosal tissue which undergoes cyclical regeneration, differentiation, and remodeling upon hormonal, cellular, and molecular signaling networks. Dysregulation of these processes can trigger a range of pathological conditions including chronic inflammatory disorders, hyperplastic lesions, malignancies, and infertility, necessitating the need for effective therapeutic interventions. Furthermore, we are still dependent on conventional treatment modalities which are often constrained by inefficient drug biodistribution, systemic toxicity, and emergence of therapeutic resistance.
View Article and Find Full Text PDFOncoscience
September 2025
Division of Pediatric Hematology and Oncology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Background: Trophoblastic differentiation or beta-human chorionic gonadotropin (β-hCG) secretion in endometrial carcinoma has been associated with poorly differentiated and aggressive tumors; however, the evidence is largely inconclusive. The review aimed to explore the prognostic role of trophoblastic differentiation and β-hCG in non-trophoblastic, primary uterine corpus cancers.
Methodology: A comprehensive electronic search across databases was conducted for all cases of cancers of the uterine corpus that were either associated with elevated levels of β-hCG or showed evidence of trophoblastic differentiation upon microscopy or both.
Proteomics 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 PDFInt J Gynecol Cancer
August 2025
Radiation Department, A.O. S. Croce e Carle Teaching Hospital, Cuneo CN, Italy.