Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics
research has generated a large amount of data; however, only a very small amount has …

Background Cancer is a complex disease. So far, many genes have been reported to
involve in the development of cancer. Rather than the traditional approach to studying …

Prostate cancer (PCa) is one of the major leading cause in men and no effective biomarkers
or therapy have been approved for it to date. This study aimed to explore the molecular …

Background/Aims: Prostate cancer is one of the most common cancers for males worldwide,
and it is prone to show the metastatic foci in lymph node and bone with high mortality. To …

Cancer is the leading cause of death worldwide and is generally caused by mutations in
multiple proteins or the dysregulation of pathways. Understanding the causes and the …

Aim Early diagnosis of prostate cancer (PCa), which is a clinically heterogeneous-multifocal
disease, is essential to improve the prognosis of patients. However, published PCa …

Background In terms of genomics, bioinformatics conceptualizes biological processes and
utilizes computer science to generate knowledge from biological data. Bioinformatics is …

Protein-protein interactions (PPIs) have been widely studied to understand the biological
processes or molecular functions associated with different disease systems like cancer …

Aim: Since interactome analysis of diseases can provide candidate biomarker panel related
to the diseases, in this research, protein-protein interaction (PPI) network analysis is used to …

Abstract Background Prostate cancer (PCa) is the most frequently diagnosed non-skin
cancer and a leading cause of mortality among males in developed countries. However, our …