Expression-based in silico screening of candidate therapeutic compounds for lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinom (AC) is the most common form of lung cancer. Currently, the number of medical options to deal with lung cancer is very limited. In this study, we aimed to investigate potential therapeutic compounds for lung adenocarcinoma based on integrative analysis.

Methodology/principal findings

The candidate therapeutic compounds were identified in a two-step process. First, a meta-analysis of two published microarray data was conducted to obtain a list of 343 differentially expressed genes specific to lung AC. In the next step, expression profiles of these genes were used to query the Connectivity-Map (C-MAP) database to identify a list of compounds whose treatment reverse expression direction in various cancer cells. Several compounds in the categories o

SUBMITTER: Wang G 

PROVIDER: S-EPMC3024967 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature