Introduction: MicroRNAs (miRNAs) are noncoding RNAs that regulate gene expression and contribute to the development of cancer. They have been shown to be stable in tissue samples and may be promising diagnostic biomarkers for endometrial cancer.
Material And Methods: A retrospective cohort study of women diagnosed with endometrial cancer between January 2017 and December 2017 was performed at the Royal Cornwall Hospital. Archived formalin-fixed paraffin-embedded samples were obtained from patients with endometrial cancer and healthy women. MicroRNA was isolated and quantitative real-time polymerase chain reaction was used to detect expression levels of miRNAs.
Results: A total of 76 women were included: 36 endometrial cancer patients, 40 healthy controls. A distinct panel of miR-200a, miR-200b, miR-200c, miR-205, and miR-182 showed an area under the curve of 0.958, sensitivity 92%, specificity 89%, positive predictive value of 89% (95% CI 82%-94%) and negative predictive value of 91% (95% CI 85%-96%) in diagnosing endometrial cancer. High miR-182 expression levels were significantly related to high-grade endometrioid tumors compared with low-grade tumors.
Conclusions: We demonstrated high diagnostic accuracy of miRNA for detecting endometrial cancer. In addition, miRNA contributed to an improvement in distinguishing between high-grade and low-grade endometrioid tumors.
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http://dx.doi.org/10.1111/aogs.14141 | DOI Listing |
Exp Ther Med
February 2025
Department of Histopathology, Specialty Hospital, Amman 11194, Jordan.
In the present case, a 66-year-old woman presented to the Specialty Hospital (Amman, Jordan) with recurrent post-menopausal bleeding. A pelvic ultrasound scan showed an abnormal endometrial thickness of 8 mm and no adnexal masses. An endometrial biopsy revealed abundant foamy histiocyte infiltration features suggestive of xanthogranulomatous endometritis.
View Article and Find Full Text PDFEClinicalMedicine
January 2025
Department of Clinical Genetics, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Background: Female Lynch syndrome carriers have an increased risk of developing endometrial cancer. Regardless, research on endometrial carcinoma tumorigenesis is scarce and no uniform, evidence-based gynaecological management guidelines exist. We therefore described gynaecological surveillance and surgery outcomes in a nation-wide Lynch syndrome cohort.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
School of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Background: The causal relationship between percentage of fat in milk consumption and cancer risk lacks sufficient investigation. The purpose of this study was to explore whether the percentage of fat in milk consumption is a factor that affects the risk variation of several common types of cancer.
Methods: Mendelian randomization (MR) was performed to estimate the unconfounded causal relationship between the percentage of fat in milk consumption and the risk of six cancers related to milk intake, as well as to assess the associations between body fat percentage and these cancers.
Transl Cancer Res
December 2024
Department of Gynecology, the First Hospital of Weinan City, Weinan, China.
Background: Chromosomal instability (CIN) has been identified as a factor that increases the susceptibility of tumor cells to kinesin family member 18A (KIF18A) inhibitors. Limited research exists on genes that are associated with sensitization to KIF18A inhibitors (KIF18Ais). Our study aimed to identify a gene linked to heightened sensitivity to KIF18Ais in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) and uterine corpus endometrial carcinoma (UCEC).
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Gynecologic Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.
Background: To assess the utility of the TCGA molecular classification of endometrial cancer in a well-annotated, moderately sized, consecutive cohort of Chinese patients with ovarian clear cell carcinoma (OCCC).
Methods: We performed DNA sequencing on 80 OCCC patients via a panel that contains 520 cancer-related genes. The TCGA molecular subtyping method was utilized for classification.
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