An expression meta-analysis of predicted microRNA targets identifies a diagnostic signature for lung cancer.

ABSTRACT:

Background

Patients diagnosed with lung adenocarcinoma (AD) and squamous cell carcinoma (SCC), two major histologic subtypes of lung cancer, currently receive similar standard treatments, but resistance to adjuvant chemotherapy is prevalent. Identification of differentially expressed genes marking AD and SCC may prove to be of diagnostic value and help unravel molecular basis of their histogenesis and biologies, and deliver more effective and specific systemic therapy.

Methods

MiRNA target genes were predicted by union of miRanda, TargetScan, and PicTar, followed by screening for matched gene symbols in NCBI human sequences and Gene Ontology (GO) terms using the PANTHER database that was also used for analyzing the significance of biological processes and pathways within eac

SUBMITTER: Liang Y 

PROVIDER: S-EPMC2633354 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature