Journal of Theoretical & Computational Science
Open Access
ISSN: 2376-130X
ISSN: 2376-130X
Department of Pharmacology and Toxicology, King Saud University, Riyadh, Saudi Arabia
Research Article
Systemic Bioinformatics computational analysis of Hazard Ratio (HR) level of RNA-binding proteins in human Breast, Colon and Lung cancer
Author(s): Tala Bakheet, Nada Al-Mutairi, Mosaab Doubi, Wijdan Al-Ahmadi, Khaled Alhosaini and Fahad Al- Zoghaibi*
Breast, colon and lung carcinomas are classified as aggressive tumors that have poor Relapse-Free Survival (RFS) or Progression-Free survival (PF) and poor Hazard Ratios (HRs) despite of extensive therapy. Therefore, it is essential to identify a gene expression signature correlating with RFS/PF and HR status to predict the efficiency of treatment. RNA Binding Proteins (RBPs) play a critical role in RNA metabolic activities including RNA transcription, maturation and posttranslational regulation. However, their particular involvement in cancers is not yet understood. In this study, we used computational bioinformatics to classify the function and the correlation of RBPs among solid cancers. We aimed to identify the molecular biomarker that would help in disease prognosis prediction or improve therapeutic efficiency in treated patients. The intersection analysis summarized more than 16.. View More»