Integrative Genomic Analysis for the Discovery of Biomarkers in Prostate Cancer
نویسندگان
چکیده
Genome-wide association studies (GWAS) have achieved great success in identifying single nucleotide polymorphisms (SNPs, herein called genetic variants) and genes associated with risk of developing prostate cancer. However, GWAS do not typically link the genetic variants to the disease state or inform the broader context in which the genetic variants operate. Here, we present a novel integrative genomics approach that combines GWAS information with gene expression data to infer the causal association between gene expression and the disease and to identify the network states and biological pathways enriched for genetic variants. We identified gene regulatory networks and biological pathways enriched for genetic variants, including the prostate cancer, IGF-1, JAK2, androgen, and prolactin signaling pathways. The integration of GWAS information with gene expression data provides insights about the broader context in which genetic variants associated with an increased risk of developing prostate cancer operate.
منابع مشابه
Bioinformatics Study of the miR-200 Family and the Target Genes in Prostate Cancer
Introduction: Considering the limitations of the common diagnostic test for prostate cancer prostate cancer, the introduction of higher-specific biomarkers for a more accurate and timely diagnosis of prostate cancer is desired. In this study, we aimed to investigate the miR-200 family (miR-200a, miR-200b, miR-200c, miR-141, and miR-429) and their target genes using bioinformatics prediction too...
متن کاملBioinformatics Study of the miR-200 Family and the Target Genes in Prostate Cancer
Introduction: Considering the limitations of the common diagnostic test for prostate cancer prostate cancer, the introduction of higher-specific biomarkers for a more accurate and timely diagnosis of prostate cancer is desired. In this study, we aimed to investigate the miR-200 family (miR-200a, miR-200b, miR-200c, miR-141, and miR-429) and their target genes using bioinformatics prediction too...
متن کاملAutomatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI
Background: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prostate lesions detection and characterization.Objective: The purpose of this study is to investigate spatiotemporal patterns of tumors by extracting semi-quantitative as well as w...
متن کاملEvaluation of the ELAC2 Ser217Leu and Ala541Thr Polymorphisms in the Patients with Prostate Cancer
Introduction: Prostate cancer is the fifth most common cancer in the world and the second leading cause of cancer death among men. The ELAC2 gene (HPC2 locus) on chromosome 17p11 has been identified as hereditary tumor suppressor genes in prostate cancer. Some evidence showed that ELAC2 Ser217Leu and Ala541Thr polymorphisms were associated with prostate cancer risk. The aim of this study was to...
متن کاملProstate cancer proteomics: Current trends and future perspectives for biomarker discovery
The clinical and fundamental research in prostate cancer - the most common urological cancer in men - is currently entering the proteomic and genomic era. The focus has switched from one single marker (PSA) to panels of biomarkers (including proteins involved in ribosomal function and heat shock proteins). Novel genetic markers (such as Transmembrane protease serine 2 (TMPRSS2)-ERG fusion gene ...
متن کامل