Bioinformatics Articles

Prostate cancer is among the most common cancer in males and its heterogeneity is well known. The genomic level changes can be detected in gene expression data and those changes may serve as standard model for any random cancer data for class prediction.

The aim of this study was to identify the key microRNAs (miRNAs) and their regulatory networks in bladder cancer (BC).

Three miRNA and three gene expression microarray datasets were downloaded for analysis from Gene Expression Omnibus database.

The question of whether pioglitazone, an antidiabetic drug, increases the risk of cancer has been debated for some time. Recent studies have shown that pioglitazone use can increase the risk of prostate cancer as well as pancreatic cancer.

Purpose: Aim of this study was to comprehensively analyze BRCA1-associated protein-1 (BAP1) somatic mutation in clear cell renal cell carcinoma (ccRCC) and explore potential therapeutic pathways and molecules.

Research on bladder neoplasms in pediatric and teen patients (BNPTP) has described 21 genes, which are variously involved in this disease and are mostly responsible for deregulated cell proliferation.

Biomarker discovery is limited by readily assessable, cost efficient, human samples available in large numbers that represent the entire heterogeneity of the disease. We developed a novel active participation crowdsourcing method to develop a Bladder Permeability Defect Risk Score (BP-RS) based on non-invasive urinary cytokines to discriminate Interstitial cystitis/bladder pain syndrome (IC/BPS) with Hunner's lesion (UIC) patients from controls and IC patients without Hunner's lesions.

Antioxidant supplementation in idiopathic male infertility has a beneficial effect on semen parameters. However, the molecular mechanism behind this effect has not been reported. The objective of this study was to evaluate the sperm proteome of idiopathic infertile men pre- and post-antioxidant supplementation.

Given that most bladder cancers (BCs) are diagnosed in advanced stages with poor prognosis, this study aims to find novel biomarkers associated with the progression and prognosis in patients with BC.

Alternative splicing (AS) contributes to protein diversity by modifying most gene transcriptions. Cancer generation and progression are associated with specific splicing events. However, AS signature in kidney renal clear cell carcinoma (KIRC) remains unknown.

The aim of the present study was to identify long non-coding RNA (lncRNA)-based prognostic biomarkers in papillary renal cell carcinoma (pRCC). lncRNA expression data and corresponding clinical data from patients with pRCC were obtained from The Cancer Genome Atlas.

In certain cancer settings, a T-cell response to cancer represents a relatively favorable outcome. Thus, the near-future challenges include a better understanding of exactly which T-cell features contribute to a response to which cancer antigen-groups, to maximize the opportunities for tumor-infiltrating lymphocyte (TIL)-based therapies and other immunotherapies.

Bladder cancer (BC) is one of the most common neoplastic diseases worldwide. With the highest recurrence rate among all cancers, treatment of BC only improved a little in the last 30 years. Available biomarkers are not sensitive enough for the diagnosis of BC, whereas the standard diagnostic method, cystoscopy, is an invasive test and expensive.

The study of the immunome of prostate cancer (PCa) and characterization of autoantibody signature from differentially reactive antigens can uncover disease stage proteins, reveal enriched networks and even expose aberrant cellular mechanisms during the disease process.

Bladder cancer (BC) is one of the most common malignancies. Two previous studies identified collagen type V alpha 2 (COL5A2) as a potential biomarker in BC, both are simple reanalysis of a single transcriptomic dataset without subgroup analysis for muscle-invasive BC (MIBC).