Epithelial cell adhesion molecule (EpCAM) expression has been reported in many types of cancer, including prostate cancer (PCa). However, the role of EpCAM expression remains inconsistent. We conducted a meta-analysis to assess the clinicopathological and prognostic significance of EpCAM expression in PCa.
Cystitis is defined as an inflammation of the bladder caused by a bacterial infection, and it can be dangerous and painful when it spreads through the internal organs. In this study, antioxidant effects of hydroxylfasudil (HF) at the enzymatic and molecular level on kidney and liver tissues in cystitis rat model, which is caused by inflammation of the rat bladder with a protamine sulphate (PS), was examined.
Liquid biopsy is becoming a promising method for non-invasive cancer detection. In several proof-of-concept studies, long non-coding RNAs (lncRNAs) were found to be potential biomarkers for bladder cancer detection.
Prostate cancer is one of the most common and heritable human cancers. Our aim was to find germline biomarkers that can predict disease outcome. We previously detected predisposing signals at 2q37, the location of the prostate specific ANO7 gene.
There is contradictory evidence of the effects that environmental factors-dietary habits (ingestion rates of red meat, soy products, fish, etc.) and work environment (exposure to metals, pesticides, several toxic products, etc.
The purpose of the present study was to investigate the biological and clinical significance of GATA binding protein 3 (GATA3) in bladder cancer patients.
For the detection of the correlation between GATA3 expression and bladder cancer, we downloaded the mRNA expression data from the Cancer Genome Atlas (TCGA) database and conducted immunohistochemistry staining on formalin-fixed paraffin-embedded (FFPE) sample tissues.
Overdiagnosis and overtreatment of clinically insignificant tumors remains a major problem in prostate cancer (PC) due to suboptimal diagnostic and prognostic tools. Thus, novel biomarkers are urgently needed.
Prostate cancer (PCa) is considered the most common malignancy in men. The aim of this study is to assess the role of serum miR-15a and miR-16-1 expression in PCa development, diagnosis and prognosis aiming to find a specific noninvasive biomarker.
Background: Abnormal DNA methylation of is one of the important mechanisms leading to tumor pathogenesis. The purpose of this study was to explore differentially methylated genes that may drive the development of renal clear cell carcinoma through a comprehensive analysis of the TCGA database.
Dual-specificity phosphatase 2 (DUSP2), a member of nuclear type I DUSP family, abolishes the activation of mitogen-activated protein kinases (MAPKs) and plays critical roles in the immune processes, inflammatory responses and cancer progression.
There are over a dozen of approved cancer drugs, whose administration is tailored to predictive laboratory tests. The examples include estrogen and progesterone receptor status determination for the use of endocrine therapy, HER2 assessment for the administration of HER2-targeting agents, EGFR and ALK gene testing for lung cancer treatment, BRAF analysis in melanoma, etc.
Bladder cancer is the most common urological malignancy with a high tendency for progression and recurrence. So far, no reliable diagnostic marker is present with 100% sensitivity and specificity. Netrins are related to laminin proteins, and were first discovered to be involved in neural development.
Urinary bladder cancer is one of the most common malignancies of the urinary tract. Ion channels and calcium homeostasis are involved in almost all basic cellular mechanisms. The transient receptor potential cation channel subfamily M (TRPM) takes its name from the melastatin protein, which is classified as potential tumor suppressor.
Bladder cancer (BLCA) is one of the most malignant cancers worldwide, and its prognosis varies. 1214 BLCA samples in five different datasets and 2 platforms were enrolled in this study. By utilizing the gene expression in The Cancer Genome Atlas (TCGA) dataset, and another two datasets, in GSE13507 and GSE31684, we constructed a risk score staging system with Cox multivariate regression to evaluate predict the outcome of BLCA patients.
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