Background: Intestinal metaplasia/differentiation in primary endometrial carcinomas is an uncommon phenomenon, with only few cases described.
Material And Methods: We performed a systematic review of endometrial carcinomas with intestinal metaplasia/differentiation interrogating the electronic databases Pubmed, Web of Science, and Scopus, and we reported an additional case arising in a 49-year-old woman.
Results: We identified only eight patients diagnosed with endometrial carcinomas exhibiting intestinal metaplasia/differentiation, and additionally our case. Endometrial carcinomas with intestinal-type features can present in pure or mixed forms in association with usual-type endometrioid carcinomas; in mixed forms, the two neoplastic components may derive from a common neoplastic progenitor, as evidenced by the concomitant loss of MSH2 and MSH6 protein expression in our case. Disease recurrences occur in a significant fraction of the cases, including patients diagnosed in low-stage disease.
Conclusions: Endometrial carcinomas with intestinal metaplasia/differentiation are rare and they may represent a more aggressive tumor variant, thus requiring a proper treatment despite the low-tumor stage. The ProMise classification should be performed also in these unusual tumors, since they can be associated with mismatch repair system defects.
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http://dx.doi.org/10.3390/jcm9082552 | DOI Listing |
BMC Cancer
January 2025
Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
Objectives: To construct a prediction model based on deep learning (DL) and radiomics features of diffusion weighted imaging (DWI), and clinical variables for evaluating TP53 mutations in endometrial cancer (EC).
Methods: DWI and clinical data from 155 EC patients were included in this study, consisting of 80 in the training set, 35 in the test set, and 40 in the external validation set. Radiomics features, convolutional neural network-based DL features, and clinical variables were analyzed.
Sci Rep
January 2025
Department of Breast Surgery, Cancer Hospital of Shantou University Medical College, No. 7 Raoping Road, Shantou, 515041, Guangdong, China.
Uterine Corpus Endometrial Carcinoma (UCEC) represents a common malignant neoplasm in women, with its prognosis being intricately associated with available therapeutic interventions. In the past few decades, there has been a burgeoning interest in the role of mitochondria within the context of UCEC. Nevertheless, the development and application of prognostic models predicated on mitochondrial-related genes (MRGs) in UCEC remains in the exploratory stages.
View Article and Find Full Text PDFAnn Diagn Pathol
January 2025
Akdeniz University, Faculty of Medicine, Department of Pathology, Konyaaltı, 07070 Antalya, Turkey.
POLE status determination is necessary for the molecular classification of endometrial carcinomas (EC). However, this determination is only achievable by molecular techniques, which are not available in many practice settings. A previously published study reported elevated AMF/GPI and AMFR/gp78 levels in POLE-mutant EC.
View Article and Find Full Text PDFBiofactors
January 2025
Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, China.
Endometrial cancer (EC) is a prevalent gynecological malignancy with a rising incidence and poor prognosis in advanced cases. Long non-coding RNAs (lncRNAs) have been implicated in various cancers, including EC. This study explores the role of lncRNA Linc01224 in EC.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Urology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, 610041, China.
Objective: Sarcopenia, a condition characterized by the gradual decline of muscle mass, strength, and function, is a key indicator of malnutrition in cancer patients and has been linked to poor prognoses in oncology. Sarcopenia is commonly assessed by measuring the skeletal muscle index (SMI) of the third lumbar spine (L3) using computed tomography (CT). This meta-analysis aimed to explore the relationship between low SMI and clinicopathological features, as well as prognosis, in individuals with endometrial cancer (EC).
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