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Integrated classification of lung tumors and cell lines by expression profiling
Carl Virtanen1, Yuichi Ishikawa, Daisuke Honjoh
1Chugai Pharmaceuticals, 3-41-8 Takada, Toshima-ku, Tokyo 171-8545, Japan.
Summary
Cancer cell line classification is crucial but challenging. Gene-expression profiling accurately classifies lung cancer cell lines and tumors, revealing discrepancies, particularly in adenocarcinoma cell lines.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Accurate classification of cancer cell lines is vital for research, typically relying on histopathological diagnosis of the original tumor.
- Cancer heterogeneity and in vitro alterations can make cell lines unrepresentative of their source tumors.
- Reclassifying cell lines has been difficult due to the lack of architectural context available in fresh tissue samples.
Purpose of the Study:
- To compare gene-expression profiles of lung cancer cell lines with primary lung tumors.
- To assess the utility of gene-expression profiling for reclassifying cancer cell lines.
- To investigate potential discrepancies in classification between lung cancer cell lines and their corresponding tumor types.
Main Methods:
- Gene-expression profiling of 41 lung cancer cell lines and 44 primary lung tumors using cDNA microarrays.
- Comparative analysis of gene-expression data after filtering uniformly expressed genes.
- Cluster analysis to group cell lines and tumors based on expression profiles.
Main Results:
- Cluster analysis revealed four major groups, with fresh tumors generally clustering by pathological type (adenocarcinoma, squamous cell carcinoma, small cell lung carcinoma).
- Squamous cell carcinoma (SCC) and small cell lung carcinoma (SCLC) cell lines largely grouped with their respective tumor types.
- Adenocarcinoma (AC) cell lines showed significant misclassification, with many clustering with SCC or SCLC tumor profiles, not AC tumors.
Conclusions:
- Gene-expression profiling is a powerful tool for classifying cancer cell lines and can identify misclassified lines.
- Adenocarcinoma cell lines frequently exhibit gene-expression profiles resembling SCC or SCLC, suggesting potential dedifferentiation or selection processes.
- These findings highlight the need for re-evaluation of cell line classifications and may offer insights into lung cancer progression pathways.