Bladder cancer (BC) comprises 3% of all cancers and is particularly common in the developed countries. Early diagnosis is an important necessity in improvement of BC prognosis, as patients' outcome is significantly different between muscle invasive BC (MIBC) and non-muscle invasive BC cases. This cancer is resulted from an intricate interaction between genetic and environmental factors. Recent studies have identified microRNAs (miRNAs) as potential modulators of carcinogenic potential of BC cells. These small transcripts regulate expression of target genes mostly through binding with their 3' untranslated regions. Expression of several oncomiRs has been increased in BC tissues, peripheral blood or urine samples of these patients. These miRNAs promote oncogenic potential of BC through modulation of epithelial-mesenchymal transition or PI3K/AKT, JAK/STAT and NF-κB/Snail signaling pathways. Besides, a number of tumor suppressive miRNAs have been down-regulated in BC samples leading to enhanced proliferation, invasiveness and metastasis of these cells. TGFβ1, Akt, MAPK, MET/SMAD3/SNAIL, MAPK1/Slug/vimentin and Wnt7a/β-catenin pathways and axes are among molecular targets of these miRNAs. Aberrant expressions of miRNAs in biofluids of patients with BC have potentiated them as molecular markers for prediction of disease course. In the current review, we provided a summary of studies which reported aberrant expression of miRNAs and their implications in the diagnosis or prognosis of patients with BC.
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http://dx.doi.org/10.1016/j.biopha.2020.110703 | DOI Listing |
Cureus
December 2024
Biostatistics and Epidemiology, Rutgers University, Piscataway, USA.
Background Various studies have evaluated the quality of health-related information on TikTok (ByteDance Ltd., Beijing, China), including topics such as COVID-19, diabetes, varicoceles, bladder cancer, colorectal cancer, and others. However, there is a paucity of data on studies that examined TikTok as a source of quality health information on human papillomavirus (HPV).
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December 2024
Radiology, Fernandez Hospital, Hyderabad, IND.
Urological malignancies during pregnancy are exceedingly rare, with bladder cancer posing significant diagnostic and management challenges. This study describes a 28-year-old pregnant woman diagnosed with non-invasive papillary urothelial carcinoma, presenting with painless hematuria at 22 weeks of gestation. The diagnostic process included ultrasound and MRI, both of which confirmed a solitary polypoidal lesion.
View Article and Find Full Text PDFPeerJ
January 2025
Department of Urology, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Background: Plasma membrane tension-related genes (MTRGs) are known to play a crucial role in tumor progression by influencing cell migration and adhesion. However, their specific mechanisms in bladder cancer (BLCA) remain unclear.
Methods: Transcriptomic, clinical and mutation data from BLCA patients were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.
Future Oncol
January 2025
Department of Urology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Introduction: The treatment landscape of metastatic urothelial carcinoma (mUC) has evolved with the emergence of programmed cell death protein 1/ligand 1 (PD-1/L1) inhibitors. This study assessed mUC treatment patterns in Europe.
Methods: Data were derived from the Adelphi mUC Disease Specific Programme™ (November 2020 to April 2021), a large, cross-sectional, patient record-based survey of physicians in France, Germany, Italy, Spain, and the United Kingdom.
Sci Rep
January 2025
Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Genome-wide association studies (GWAS) have detected several susceptibility variants for urinary bladder cancer, but how gene regulation affects disease development remains unclear. To extend GWAS findings, we conducted a transcriptome-wide association study (TWAS) using PrediXcan to predict gene expression levels in whole blood using genome-wide genotype data for 6180 bladder cancer cases and 5699 controls included in the database of Genotypes and Phenotypes (dbGaP). Logistic regression was used to estimate adjusted gene-level odds ratios (OR) per 1-standard deviation higher expression with 95% confidence intervals (CI) for bladder cancer risk.
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