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The purpose of this study was to find novel gene(s) involved in the development of lung adenocarcinoma (AD). Using DNA microarrays, we identified 31 up-regulated and 8 downregulated genes in 12 AD. Real time PCR was used to measure expression of VIPR1 and SPP1 mRNA and possible losses or gains of genes in 32 AD. We describe significant upregulation of the SPP1 gene, downregulation of VIPR1, and losses of the VIPR1 gene. Our findings complement a proposed VIPR1 tumor suppressor role, in which deletions in the 3p22 chromosome region are an important mechanism leading to loss of the VIPR1 gene.

LATS2 is a new member of the LATS tumour suppressor family. The human LATS2 gene is located at chromosome 13q11-12, a hot spot (67%) for loss of heterozygosity (LOH) in non-small cell lung cancer (NSCLC). We screened 129 non-small cell lung cancer samples and 13 lung cancer cell lines, initially for mutations in the LATS2 gene and subsequently for mutations in P53 and K-RAS genes. Either polymorphisms or mutations were identified in over 50 percent of analysed tumours. A novel missense mutation, S1073R, and a large deletion of 8 amino acids in the PAPA-repeat region were detected in 9 and 2 NSCLC tumours, respectively. Those mutations were not identified in the 13 lung cancer cell lines. Mutations were tumour specific and were absent from adjacent normal tissue and healthy controls. Down-regulation of the LATS2 gene was observed in most NSCLC tumours but was not related to any mutation or polymorphism. Tumours with a LATS2 mutation often also harbour a P53 but not K-RAS gene mutation and were mostly in an advanced stage of development, with regional lymph node involvement.

Somatic LKB1 serine/threonine kinase alterations are rare in sporadic cancers, with the exception lung adenocarcinoma, but no mutations in squamous cell or large cell primary carcinoma were discovered. We screened the LKB1 gene in 129 primary nonsmall cell lung carcinomas, adjacent healthy lung tissue, and control blood samples. Forty-five percent of nonsmall cell lung tumors harbored either intron or exon alterations. We identified R86G, F354L, Y272Y and three polymorphisms: 290+36G/T, 386+156G/T, and 862+145C/T (novel). R86G (novel) and F354L mutations were found in six squamous cell carcinomas and three large cell cancer carcinomas, but not in the adjacent healthy tissue or controls samples. The F354L mutation was found in advanced squamous cell carcinomas with elevated COX-2 expression, rare P53, and no K-RAS mutation. Results indicate that the LKB1 gene is changed in a certain proportion of nonsmall cell lung tumors, predominately in advanced squamous lung carcinoma. Inactivation of the gene takes place via the C-terminal domain and could be related to mechanisms influencing tumor initiation, differentiation, and metastasis.

Contrary to the recent hypothesis that S100A2 is a tumour suppressor, no somatic mutations have yet been identified. We therefore screened 90 non-small cell lung carcinoma (NSCLC) samples, initially for mutations in S100A2 and then also for mutations in P53 and K-RAS genes. Alterations were detected in 46.7% of squamous lung cancer (SCC) samples, but we detected only one novel tumour specific mutation, Q23X in squamous carcinoma. We detected four polymorphisms, two of them published for the first time (144+109 C/G and 297+75A/G) and two already published: S62N, in the coding region and related to squamous cell carcinoma (SCC), and 297+17T/C. Analysis of S100A2 expression revealed that expression in adenocarcinomas and squamous cell carcinomas is significantly different, but not related to any of the found alterations. In one tumour with S62N polymorphism, P53 and K-RAS genes were also mutated, while two tumours with the Q23X mutation have a P53 but no K-RAS mutation. To the best of our knowledge, this is the first report describing alterations in the S100A2 gene proving a relation between changes in predominantly squamous lung cancer.

Several studies have reported different expression levels of certain genes in NSCLC, mostly related to the stage and advancement of the tumours. We investigated 65 stage I-III NSCLC tumours: 32 adenocarcinomas (ADC), 26 squamous cell carcinomas (SCC) and 7 large cell carcinomas (LCC). Using the real-time reverse transcription polymerase chain reaction (RT-PCR), we analysed the expression of the COX-2, hTERT, MDM2, LATS2 and S100A2 genes and researched the relationships between the NSCLC types and the differences in expression levels. The differences in the expression levels of the LATS2, S100A2 and hTERT genes in different types of NSCLC are significant. hTERT and COX-2 were over-expressed and LATS2 under-expressed in all NSCLC. We also detected significant relative differences in the expression of LATS2 and MDM2, hTERT and MDM2 in different types of NSCLC. There was a significant difference in the average expression levels in S100A2 for ADC and SCC. Our study shows differences in the expression patterns within the NSCLC group, which may mimic the expression of the individual NSCLC type, and also new relationships in the expression levels for different NSCLC types.

We evaluated the occurrence of mutations in P53, K-RAS, COX-2, expression of COX-2 and hTERT and relations among clinicopathological signs. P53 mutations were identified in 34.4% of tumours, the majority of them occurring in SCC (squamous cell carcinoma, 55.6%). K-RAS was mutated in 12.2% of NSCLC tumours, the majority of the mutations being found in ADC (adenocarcinoma, 27.0%). Mutational screening detected three different COX-2 mutations and five different P53 mutations, published for the first time. With RT-PCR we observed that the expression of the tested genes, hTERT and COX-2, was highly significant for ADC (p<0.01) and SCC (p<0.05). Statistical analysis of the combined results revealed significant correlation between expression of COX-2 and hTERT (p<0.001), hTERT expression and staging (p<0.05) and survival (p<0.01). A positive correlation between COX-2 expression and K-RAS mutation (p<0.05) was also observed. This study provides insight into associations between the analysed biomarkers and the clinical-pathological data of the patients.