Anticancer drug clustering in lung cancer based on gene expression profiles and sensitivity database.

ABSTRACT:

Background

The effect of current therapies in improving the survival of lung cancer patients remains far from satisfactory. It is consequently desirable to find more appropriate therapeutic opportunities based on informed insights. A molecular pharmacological analysis was undertaken to design an improved chemotherapeutic strategy for advanced lung cancer.

Methods

We related the cytotoxic activity of each of commonly used anti-cancer agents (docetaxel, paclitaxel, gemcitabine, vinorelbine, 5-FU, SN38, cisplatin (CDDP), and carboplatin (CBDCA)) to corresponding expression pattern in each of the cell lines using a modified NCI program.

Results

We performed gene expression analysis in lung cancer cell lines using cDNA filter and high-density oligonucleotide arrays. We als

SUBMITTER: Gemma A 

PROVIDER: S-EPMC1533844 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature