Lung cancer staging in the genomics era

miR-511 and miR-1297 inhibit human lung adenocarcinoma cell proliferation by targeting oncogene TRIB2

microRNAs (miRNAs) are small noncoding RNAs that regulate genes and contribute to many kinds of human diseases, including cancer. Two miRNAs, miR-511 and miR-1297, were investigated for a possible role in adenocarcinoma based on predicted binding sites for the TRIB2 oncogene by microRNA analysis software, and the pcDNA-GFP-TRIB2-3'UTR vector was constructed to investigate the interaction between TRIB2 and miR-511/1297 in the adenocarcinoma cell line A549. Green fluorescent protein (GFP) expression was estimated by fluorescence microscopy and flow cytometry after A549 cells were co-transfected with miR-511 (or miR-1297) and pcDNA-GFP-TRIB2-3'UTR vector. The expression of GFP in the miR-511- and miR-1297-treated cells was significantly downregulated in contrast with the negative-control (NC) miRNA-treated cells. The decreased expression of TRIB2 was further detected after miR-511 (or miR-1297) treatment by western blotting. The MTT test showed inhibition of A549 cell proliferation and Annexin V-FITC/PI dual staining showed increased apoptosis in the miR-511- and miR-1297-treated cells compared to the NC cultures. A transcription factor downstream of TRIB2, the CCAAT/enhancer-binding protein alpha (C/EBPα), was expression at higher levels after miR-511 (or miR-1297) decreasing TRIB2 expression. Our results illustrate that miR-511 and miR-1297 act as tumor suppressor genes, which could suppress A549 cell proliferation in vitro and in vivo by suppressing TRIB2 and further increasing C/EBPα expression.

Is gene expression profiling of head and neck cancers ready for the clinic?

One of the major challenges in the head and neck oncology clinic is the need to identify biomarkers and/or gene expression signatures that complement, strengthen and increase the sensitivity and specificity of the current clinicopathologic analyses. Microarray analysis of head and neck tumors has demonstrated that the combined influence of many genes or biomarkers can make superior identifiers and/or predictors of tumor behavior and patient outcome. Here, an update of the recent literature on the prognostic and predictive value of microarrays for patients with head and neck squamous cell carcinomas is presented. Microarray technology has the potential for improved decision-making and corroboration within the clinical setting. However, further integration, standardization, validation and research are required before the use of microarray analysis is ready for routine clinical management of head and neck squamous cell carcinomas.

Prognostic value of exhaled microsatellite alterations at 3p in NSCLC patients

Our research group has recently been able to demonstrate and validate the possibility of studying of 3p microsatellite alterations (MAs) in the DNA extracted from the exhaled breath condensate (EBC) of healthy smokers and of subjects with non-small cell lung cancer (NSCLC). In light of the interest that has recently been aroused in the novel molecular staging protocol of lung cancer, the evaluation of the prognostic power of the genetic alterations involved in lung cancerogenesis, including 3p microsatellite alterations could be of clinical interest.

PURPOSE

The aim of this study was to investigate the outcome predictive power of exhaled 3p microsatellite alterations in lung cancer patients.

PATIENTS AND METHODS

Seventy-one NSCLC patients were enrolled in the study. All the subjects under study had already undergone a 3p microsatellite analysis of their EBC. A total of 56 patients were either given a follow-up of at least 102 weeks, or were followed up until death.

RESULTS

The number of 3p microsatellite alterations found in the exhaled breath condensate DNA exhibits a remarkable correlation with patients' survival. D3S2338 and D3S1289 account for the microsatellites with the highest positive prognostic power; loss of heterozygosis (LOH) D3S1289 has a negative prognostic value in adenocarcinoma while microsatellite instability (MI) and LOH D3S2338 influence survival in squamous cell carcinoma; and, independently of NSCLC stage, D3S1289 is associated with poor prognosis.

CONCLUSIONS

In conclusion, 3p MAs in the DNA of exhaled breath condensate is strongly associated with NSCLC patients' survival. Our results suggest that it is possible to use the study of EBC MAs as an outcome predictor for lung cancer patients.

Implication of leucyl-tRNA synthetase 1 (LARS1) over-expression in growth and migration of lung cancer cells detected by siRNA targeted knock-down analysis

Molecular mechanism of lung carcinogenesis and its aggressive nature is still largely elusive. To uncover the biomarkers related with tumorigenesis and behavior of lung cancer, we screened novel differentially expressed genes (DEG) in A549 lung cancer cell line by comparison with CCD-25Lu, normal pulmonary epithelial cell line, using annealing control primer(ACP)-based GeneFishing system. Of the DEGs, over-expression of leucyl-tRNA synthetase 1 (LARS1) was prominent and this up-regulation was confirmed by immunoblotting and real-time quantitative RT-PCR analysis. In addition to A549 cell line, primary lung cancer tissues also expressed higher level of LARS1 mRNA than their normal counter tissues. To explore the oncogenic potential of LARS1 over-expression in lung cancer, we knocked-down LARS1 by treating siRNA and observed the tumor behavior. LARS1 knock-down cells showed reduced ability to migrate through transwell membrane and to form colonies in both soft agar and culture plate. Taken together, these findings suggest that LARS1 may play roles in migration and growth of lung cancer cells, which suggest its potential implication in lung tumorigenesis.

Generation of a non-small cell lung cancer transcriptome microarray

BACKGROUND

Non-small cell lung cancer (NSCLC) is the leading cause of cancer mortality worldwide. At present no reliable biomarkers are available to guide the management of this condition. Microarray technology may allow appropriate biomarkers to be identified but present platforms are lacking disease focus and are thus likely to miss potentially vital information contained in patient tissue samples.

METHODS

A combination of large-scale in-house sequencing, gene expression profiling and public sequence and gene expression data mining were used to characterise the transcriptome of NSCLC and the data used to generate a disease-focused microarray - the Lung Cancer DSA research tool.

RESULTS

Built on the Affymetrix GeneChip platform, the Lung Cancer DSA research tool allows for interrogation of ~60,000 transcripts relevant to Lung Cancer, tens of thousands of which are unavailable on leading commercial microarrays.

CONCLUSION

We have developed the first high-density disease specific transcriptome microarray. We present the array design process and the results of experiments carried out to demonstrate the array's utility. This approach serves as a template for the development of other disease transcriptome microarrays, including non-neoplastic diseases.