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1.  Tumors with Nonfunctional Retinoblastoma Protein Are Killed by Reduced γ-Tubulin Levels* 
The Journal of Biological Chemistry  2012;287(21):17241-17247.
Background: γ-Tubulin moderates the expression of E2F-regulated promoters by direct binding to DNA.
Results: RB1 and γ-tubulin proteins moderate each other's expression by binding to their respective gene promoters.
Conclusion: Reduction of γ-tubulin protein levels in tumors with nonfunctional RB1 leads to induction of apoptosis.
Significance: The RB1/γ-tubulin signal network can be considered as a new target for cancer treatment.
In various tumors inactivation of growth control is achieved by interfering with the RB1 signaling pathway. Here, we describe that RB1 and γ-tubulin proteins moderate each other's expression by binding to their respective gene promoters. Simultaneous reduction of RB1 and γ-tubulin protein levels results in an E2F1-dependent up-regulation of apoptotic genes such as caspase 3. We report that in various tumors types, there is an inverse correlation between the expression levels of γ-tubulin and RB1 and that in tumor cell lines with a nonfunctioning RB1, reduction of γ-tubulin protein levels leads to induction of apoptosis. Thus, the RB1/γ-tubulin signal network can be considered as a new target for cancer treatment.
doi:10.1074/jbc.M112.357038
PMCID: PMC3366773  PMID: 22493456
Cancer Biology; Promoters; Retinoblastoma (Rb); Transcription Regulation; Tubulin
2.  Relation between smoking history and gene expression profiles in lung adenocarcinomas 
BMC Medical Genomics  2012;5:22.
Background
Lung cancer is the worldwide leading cause of death from cancer. Tobacco usage is the major pathogenic factor, but all lung cancers are not attributable to smoking. Specifically, lung cancer in never-smokers has been suggested to represent a distinct disease entity compared to lung cancer arising in smokers due to differences in etiology, natural history and response to specific treatment regimes. However, the genetic aberrations that differ between smokers and never-smokers’ lung carcinomas remain to a large extent unclear.
Methods
Unsupervised gene expression analysis of 39 primary lung adenocarcinomas was performed using Illumina HT-12 microarrays. Results from unsupervised analysis were validated in six external adenocarcinoma data sets (n=687), and six data sets comprising normal airway epithelial or normal lung tissue specimens (n=467). Supervised gene expression analysis between smokers and never-smokers were performed in seven adenocarcinoma data sets, and results validated in the six normal data sets.
Results
Initial unsupervised analysis of 39 adenocarcinomas identified two subgroups of which one harbored all never-smokers. A generated gene expression signature could subsequently identify never-smokers with 79-100% sensitivity in external adenocarcinoma data sets and with 76-88% sensitivity in the normal materials. A notable fraction of current/former smokers were grouped with never-smokers. Intriguingly, supervised analysis of never-smokers versus smokers in seven adenocarcinoma data sets generated similar results. Overlap in classification between the two approaches was high, indicating that both approaches identify a common set of samples from current/former smokers as potential never-smokers. The gene signature from unsupervised analysis included several genes implicated in lung tumorigenesis, immune-response associated pathways, genes previously associated with smoking, as well as marker genes for alveolar type II pneumocytes, while the best classifier from supervised analysis comprised genes strongly associated with proliferation, but also genes previously associated with smoking.
Conclusions
Based on gene expression profiling, we demonstrate that never-smokers can be identified with high sensitivity in both tumor material and normal airway epithelial specimens. Our results indicate that tumors arising in never-smokers, together with a subset of tumors from smokers, represent a distinct entity of lung adenocarcinomas. Taken together, these analyses provide further insight into the transcriptional patterns occurring in lung adenocarcinoma stratified by smoking history.
doi:10.1186/1755-8794-5-22
PMCID: PMC3447685  PMID: 22676229
Lung cancer; Smoking; Gene expression analysis; Adenocarcinoma; EGFR; Never-smokers; Immune response

Results 1-2 (2)