Lung cancer is the leading cause of cancer death in developed countries and worldwide accounts for million deaths each year. Non-small cell lung cancers (NSCLCs) comprise 80% of all lung carcinomas, with adenocarcinomas (AdCCs) and squamous-cell carci...
Lung cancer is the leading cause of cancer death in developed countries and worldwide accounts for million deaths each year. Non-small cell lung cancers (NSCLCs) comprise 80% of all lung carcinomas, with adenocarcinomas (AdCCs) and squamous-cell carcinomas (SqCCs) representing the majority of these tumors. Although patients with early-stage NSCLC typically have better outcomes, 35% to 50% of the patient will relapse within five years after surgical treatment. The cytogenetic analyses of recurring genomic alterations play an important role in assessing pathogenesis and determining the prognosis of cancers. However, due to difficulties with culturing tumor cells and complexity of lesions, routine cytogenetic analyses of genomic alterations are not sufficient. Array comparative genomic hybridization (CGH) provides a method to quantitatively measure the changes of DNA copy number with an extremely high resolution and to map them directly onto the complete linear genome sequences. In this study, we used array CGH to assess genomic alterations in 21 AdCCs (11 early-relapse and 10 non-relapse) and 23 SqCCs (11 early-relapse and 12 non-relapse) fresh-frozen lung cancer tissues.
We identified genomic alterations that showed significant of different frequency between early-relapse and non-relapse AdCCs, including 5q21.3, 7p11.2, 9q34.11, 10p11.22, 11p13, 11p15.1, 11p15.4, 12p13.31, 16p13.12, 16q22.1, 17q11.2 and 21q22.11. Furthermore, genomic alterations of 6p12.1, 7p15.3-7p15.2 and 9q34.3 were different between the early-relapse and non-relapse SqCCs. Hierarchical clustering was performed using candidate clones, and gain and loss of selected clones were confirmed using FISH analysis. When the cutoff value was 4, the association study between candidate clones and relapse prediction revealed that early-relapse and non-relapse groups were most effectively separated, and sensitivity and specificity were 0.80 and 1.00, respectively. To develop the most effective relapsable signature for AdCCs, ROC curve and Kaplan-Meier survival analyses were performed. The resulting ROC curve showed an AUC of 0.894. Kaplan-Meier analysis showed a significant stratification in relapse-free survival of AdCCs. However, there was no association with SqCC patients.
To further confirm the results of array CGH, genomic alteration of selected-clones by array CGH analysis and copy number change of cancer related-candidate genes in AdCC and SqCC patients were compared by real-time qPCR, and array CGH and real-time qPCR data were found to correspond to delineated DNA copy number changes. However, mRNA expression of candidate genes was not correlated with the result of array CGH. In summary, many genomic alterations in NSCLC patients were observed using array CGH, and relapsable signature was identified in AdCC patients. This signature could be useful in stratifying patient groups according to relapse for adjuvant treatment after surgical treatment.