Uterine tumor resembling ovarian sex-cord tumor (UTROSCT) is a rare distinct cancer included in the current World Health Organization classification of endometrial stromal tumors. A battery of immunohistochemical markers are necessary for accurate diagnosis. Although few case reports and case series have been documented and therefore providing robust prognostic information several authors agree to consider UTROSCT as a low malignant potential tumour. In literature only five cases of conservative management were reported. We reported our experience and a review of conservative cases of literature. In this article we describe a series of 10 cases of UTROSCT and their clinical and pathologic feature. We report two cases of conservative surgical approach obtaining a successfully pregnancies. All of the patients are still alive. In conclusion, fertility sparing surgery should be offered to patients who wish preserve their fertility however radical surgery must be considerate after childbirth. Close follow-up is required for all patients due to the lack of prognostic biomarkers and long follow up is needed to evaluate safety of conservative surgery.
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http://dx.doi.org/10.1016/j.ejogrb.2020.11.043 | DOI Listing |
Am J Case Rep
January 2025
Department of Anatomical Pathology, Jenderal Soedirman University, Purwokerto, Central Java, Indonesia.
BACKGROUND Vulvar melanoma during pregnancy is exceptionally rare. Hormonal and immunological changes in pregnancy have raised concerns about the potential for accelerated melanoma progression and poorer maternal outcomes. This case report describes an unusual presentation of vulvar melanoma in a pregnant patient, which rapidly progressed despite previous treatments, but resulted in a favorable fetal outcome.
View Article and Find Full Text PDFJ Cancer Res Ther
December 2024
Department of Interventional Ultrasound, Fifth Center of Chinese People's Liberation Army General Hospital, Beijing, China.
Objective: To examine the diagnostic efficacy of contrast-enhanced ultrasound (CEUS) with Sonazoid (Sonazoid-CEUS) for endometrial lesions.
Methods: In this prospective and multicenter study, data were collected from 84 patients with endometrial lesions from 11 hospitals in China. All the patients received a conventional US and Sonazoid-CEUS examination.
Cells
January 2025
Curtin Health Innovation Research Institute (CHIRI), Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia.
Endometriosis is a gynecologic condition characterized by the growth of endometrium-like stroma and glandular elements outside of the uterine cavity. The involvement of hormonal dysregulation, specifically estrogen, is well established in the initiation, progression, and maintenance of the condition. Evidence also highlights the association between endometriosis and altered immune states.
View Article and Find Full Text PDFHereditas
January 2025
Obstetrics and Gynecology Medical Centre, The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, No.105, Shaoshan Middle Road, Yuhua District, Changsha, 410007, Hunan, China.
Background: Cervical cancer (CC) is a prevalent gynecological malignancy, contributing to a substantial number of fatalities among women. MicroRNAs (miRNAs) have emerged as promising biomarkers with significant potential for the early detection and prognosis of CC.
Objective: This study aimed to explore the clinical significance and biological role of miR-615-5p in CC, with the goal of identifying novel biomarkers for this disease.
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.
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