Background: ADAM23, a member of the disintegrin and metalloprotease (ADAM) family, has been reported to be expressed in several types of tumours. Nevertheless, the exact role of ADAM23 in epithelial ovarian cancer (EOC) remains unclear. The aim of this study was to investigate ADAM23 expression in EOC and evaluate its clinicopathological and prognostic significance.
Methods: Immunohistochemistry (IHC), western blot and real-time PCR (RT-PCR) were used to analyse ADAM23 expression in 133 EOC, 42 benign ovarian tumour and 35 healthy control samples. Moreover, we evaluated the expression of ADAM23 in both public database (Oncomine and Kaplan-Meier plotter). The association between ADAM23 expression and various clinicopathological parameters was analysed.
Results: The levels of ADAM23 mRNA and protein expression were significantly lower in EOC tissues than in corresponding control tissues and benign ovarian tumours, verifying results from the Oncomine databases. The loss of ADAM23 expression was significantly correlated with an advanced International Federation of Gynecology and Obstetrics (FIGO) stage and lymph node metastasis. The IHC data in the EOC samples correlated with the RT-PCR data. Furthermore, patients with low ADAM23 expression had shorter progression-free survival (PFS) and overall survival (OS) than patients with high ADAM23 expression. The multivariate analysis indicated that ADAM23 was an independent predictor in patients with EOC.
Conclusions: Our results demonstrate that ADAM23 expression is likely involved in the progression of EOC and may provide potential diagnostic and prognostic information regarding EOC.
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http://dx.doi.org/10.1016/j.prp.2018.06.007 | DOI Listing |
Medicine (Baltimore)
September 2024
Department of Cardiology, Center Hospital of Shandong First Medical University, Jinan, China.
Ferroptosis has been recognized as a critical factor in the development of atrial fibrillation (AF), but its precise mechanisms remain unclear. We downloaded the GSE115574 dataset from the gene expression omnibus database to analyze the expression levels of ferroptosis-related genes (FRGs) and identify differentially expressed genes (DEGs). Least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) machine learning techniques were employed to identify key genes associated with AF.
View Article and Find Full Text PDFInt J Gen Med
December 2023
Department of Dermatology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230000, People's Republic of China.
Background: Psoriasis is a common chronic, recurrent, and inflammatory skin disease. Identifying novel and potential biomarkers is valuable in the treatment and diagnosis of psoriasis. The goal of this study was to identify novel key biomarkers of psoriasis and analyze the potential underlying mechanisms.
View Article and Find Full Text PDFNeurooncol Adv
November 2023
Molecular Oncology Center, Hospital Sírio-Libanês, São Paulo, Brazil.
Background: Infiltration is a life-threatening growth pattern in malignant astrocytomas and a significant cause of therapy resistance. It results in the tumor cell spreading deeply into the surrounding brain tissue, fostering tumor recurrence and making complete surgical resection impossible. We need to thoroughly understand the mechanisms underlying diffuse infiltration to develop effective therapies.
View Article and Find Full Text PDFGeroscience
August 2023
Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain.
Cognitive impairment is present in a broad spectrum of medical conditions and in aging. Here, we aimed to identify plasma proteins related to cognitive function in a sample of older adults with overweight/obesity and metabolic syndrome. A total of 129 subjects (mean age 64.
View Article and Find Full Text PDFCell Biosci
February 2023
School of Life Sciences, Henan University, Kaifeng, 475004, China.
Background: Autosomal dominant lateral temporal epilepsy (ADLTE) is an inherited syndrome caused by mutations in the leucine-rich glioma inactivated 1 (LGI1) gene. It is known that functional LGI1 is secreted by excitatory neurons, GABAergic interneurons, and astrocytes, and regulates AMPA-type glutamate receptor-mediated synaptic transmission by binding ADAM22 and ADAM23. However, > 40 LGI1 mutations have been reported in familial ADLTE patients, more than half of which are secretion-defective.
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