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Published in: Cancer Cell International 1/2010

Open Access 01-12-2010 | Primary research

Comparison of lung cancer cell lines representing four histopathological subtypes with gene expression profiling using quantitative real-time PCR

Authors: Takashi Watanabe, Tomohiro Miura, Yusuke Degawa, Yuna Fujita, Masaaki Inoue, Makoto Kawaguchi, Chie Furihata

Published in: Cancer Cell International | Issue 1/2010

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Abstract

Background

Lung cancers are the most common type of human malignancy and are intractable. Lung cancers are generally classified into four histopathological subtypes: adenocarcinoma (AD), squamous cell carcinoma (SQ), large cell carcinoma (LC), and small cell carcinoma (SC). Molecular biological characterization of these subtypes has been performed mainly using DNA microarrays. In this study, we compared the gene expression profiles of these four subtypes using twelve human lung cancer cell lines and the more reliable quantitative real-time PCR (qPCR).

Results

We selected 100 genes from public DNA microarray data and examined them by DNA microarray analysis in eight test cell lines (A549, ABC-1, EBC-1, LK-2, LU65, LU99, STC 1, RERF-LC-MA) and a normal control lung cell line (MRC-9). From this, we extracted 19 candidate genes. We quantified the expression of the 19 genes and a housekeeping gene, GAPDH, with qPCR, using the same eight cell lines plus four additional validation lung cancer cell lines (RERF-LC-MS, LC-1/sq, 86-2, and MS-1-L). Finally, we characterized the four subtypes of lung cancer cell lines using principal component analysis (PCA) of gene expression profiling for 12 of the 19 genes (AMY2A, CDH1, FOXG1, IGSF3, ISL1, MALL, PLAU, RAB25, S100P, SLCO4A1, STMN1, and TGM2). The combined PCA and gene pathway analyses suggested that these genes were related to cell adhesion, growth, and invasion. S100P in AD cells and CDH1 in AD and SQ cells were identified as candidate markers of these lung cancer subtypes based on their upregulation and the results of PCA analysis. Immunohistochemistry for S100P and RAB25 was closely correlated to gene expression.

Conclusions

These results show that the four subtypes, represented by 12 lung cancer cell lines, were well characterized using qPCR and PCA for the 12 genes examined. Certain genes, in particular S100P and CDH1, may be especially important for distinguishing the different subtypes. Our results confirm that qPCR and PCA analysis provide a useful tool for characterizing cancer cell subtypes, and we discuss the possible clinical applications of this approach.
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Metadata
Title
Comparison of lung cancer cell lines representing four histopathological subtypes with gene expression profiling using quantitative real-time PCR
Authors
Takashi Watanabe
Tomohiro Miura
Yusuke Degawa
Yuna Fujita
Masaaki Inoue
Makoto Kawaguchi
Chie Furihata
Publication date
01-12-2010
Publisher
BioMed Central
Published in
Cancer Cell International / Issue 1/2010
Electronic ISSN: 1475-2867
DOI
https://doi.org/10.1186/1475-2867-10-2

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