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Gene expression profiles of lung adenocarcinoma linked to histopathological grading and survival but not to EGF-R status: a microarray study.
- Source :
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BMC cancer [BMC Cancer] 2010 Mar 02; Vol. 10, pp. 77. Date of Electronic Publication: 2010 Mar 02. - Publication Year :
- 2010
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Abstract
- Background: Several different gene expression signatures have been proposed to predict response to therapy and clinical outcome in lung adenocarcinoma. Herein, we investigate if elements of published gene sets can be reproduced in a small dataset, and how gene expression profiles based on limited sample size relate to clinical parameters including histopathological grade and EGFR protein expression.<br />Methods: Affymetrix Human Genome U133A platform was used to obtain gene expression profiles of 28 pathologically and clinically annotated adenocarcinomas of the lung. EGFR status was determined by fluorescent in situ hybridization and immunohistochemistry.<br />Results: Using unsupervised clustering algorithms, the predominant gene expression signatures correlated with the histopathological grade but not with EGFR protein expression as detected by immunohistochemistry. In a supervised analysis, the signature of high grade tumors but not of EGFR overexpressing cases showed significant enrichment of gene sets reflecting MAPK activation and other potential signaling cascades downstream of EGFR. Out of four different previously published gene sets that had been linked to prognosis, three showed enrichment in the gene expression signature associated with favorable prognosis.<br />Conclusions: In this dataset, histopathological tumor grades but not EGFR status were associated with dominant gene expression signatures and gene set enrichment reflecting oncogenic pathway activation, suggesting that high immunohistochemistry EGFR scores may not necessarily be linked to downstream effects that cause major changes in gene expression patterns. Published gene sets showed association with patient survival; however, the small sample size of this study limited the options for a comprehensive validation of previously reported prognostic gene expression signatures.
- Subjects :
- Aged
Aged, 80 and over
Female
Gene Expression Regulation, Neoplastic
Humans
Immunohistochemistry methods
In Situ Hybridization, Fluorescence
Male
Middle Aged
Oligonucleotide Array Sequence Analysis
Prognosis
Adenocarcinoma metabolism
ErbB Receptors biosynthesis
Gene Expression Profiling
Lung Neoplasms metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1471-2407
- Volume :
- 10
- Database :
- MEDLINE
- Journal :
- BMC cancer
- Publication Type :
- Academic Journal
- Accession number :
- 20196851
- Full Text :
- https://doi.org/10.1186/1471-2407-10-77