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Gene expression profiling reveals novel biomarkers in nonsmall cell lung cancer
Author(s) -
SanchezPalencia Abel,
GomezMorales Mercedes,
GomezCapilla Jose Antonio,
Pedraza Vicente,
Boyero Laura,
Rosell Rafael,
FárezVidal Mª Esther
Publication year - 2010
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.25704
Subject(s) - lung cancer , gene expression profiling , biology , microarray , gene expression , gene , microarray analysis techniques , downregulation and upregulation , cancer research , adenocarcinoma , cancer , phenotype , pathology , medicine , genetics
Abstract The development of reliable gene expression profiling technology is having an increasing impact on our understanding of lung cancer biology. Our study aimed to determine any correlation between the phenotypic heterogeneity and genetic diversity of lung cancer. Microarray analysis was performed on a set of 46 tumor samples and 45 paired nontumor samples of nonsmall cell lung cancer (NSCLC) samples to establish gene signatures in primary adenocarcinomas and squamous‐cell carcinomas, determine differentially expressed gene sequences at different stages of the disease and identify sequences with biological significance for tumor progression. After the microarray analysis, the expression level of 92 selected genes was validated by qPCR and the robust Bonferroni test in an independent set of 70 samples composed of 48 tumor samples and 22 nontumor samples. Gene sequences were differentially expressed as a function of tumor type, stage and differentiation grade. High upregulation was observed for KRT15 and PKP1, which may be good markers to distinguish squamous‐cell carcinoma samples. High downregulation was observed for DSG3 in stage IA adenocarcinomas.