Identification of key regulators of pancreatic cancer progression through multidimensional systems-level analysis.

ABSTRACT:

Background

Pancreatic cancer is an aggressive cancer with dismal prognosis, urgently necessitating better biomarkers to improve therapeutic options and early diagnosis. Traditional approaches of biomarker detection that consider only one aspect of the biological continuum like gene expression alone are limited in their scope and lack robustness in identifying the key regulators of the disease. We have adopted a multidimensional approach involving the cross-talk between the omics spaces to identify key regulators of disease progression.

Methods

Multidimensional domain-specific disease signatures were obtained using rank-based meta-analysis of individual omics profiles (mRNA, miRNA, DNA methylation) related to pancreatic ductal adenocarcinoma (PDAC). These domain-specific PDAC

SUBMITTER: Rajamani D 

PROVIDER: S-EPMC4853852 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature