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The underlying genetic alterations for squamous cell carcinoma (SCC) and adenocarcinoma (AC) carcinogenesis are largely unknown. High-resolution array- CGH was performed to identify the differences in the patterns of genomic imbalances between SCC and AC of non-small cell lung cancer (NSCLC). On a genome-wide profile, SCCs showed higher frequency of gains than ACs (p = 0.067). More specifically, statistically significant differences were observed across the histologic subtypes for gains at 2q14.2, 3q26.2–q29, 12p13.2–p13.33, and 19p13.3, as well as losses at 3p26.2–p26.3, 16p13.11, and 17p11.2 in SCC, and gains at 7q22.1 and losses at 15q22.2–q25.2 occurred in AC (P < 0.05). The most striking difference between SCC and AC was gains at the 3q26.2–q29, occurring in 86% (19/22) of SCCs, but in only 21% (3/14) of ACs. Many significant genes at the 3q26.2–q29 regions previously linked to a specific histology, such as EVI1,MDS1, PIK3CA and TP73L, were observed in SCC (P < 0.05). In addition, we identified the following possible target genes (> 30% of patients) at 3q26.2–q29: LOC389174 (3q26.2),KCNMB3 (3q26.32),EPHB3 (3q27.1), MASP1 and SST (3q27.3), LPP and FGF12 (3q28), and OPA1,KIAA022,LOC220729, LOC440996,LOC440997, and LOC440998 (3q29), all of which were significantly targeted in SCC (P < 0.05). Among these same genes, high-level amplifications were detected for the gene, EPHB3, at 3q27.1, and MASP1 and SST, at 3q27.3 (18, 18, and 14%, respectively). Quantitative real time PCR demonstrated array CGH detected potential candidate genes that were over expressed in SCCs. Conclusion: Using whole-genome array CGH, we have successfully identified significant differences and unique information of chromosomal signatures prevalent between the SCC and AC subtypes of NSCLC. The newly identified candidate target genes may prove to be highly attractive candidate molecular markers for the classification of NSCLC histologic subtypes, and could potentially contribute to the pathogenesis of the squamous cell carcinoma of the lung.
Cancer Research, Chromosomes, Artificial, Bacterial, Lung Neoplasms, Genome, Human, Gene Expression Profiling, Receptor, EphB3, 610, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Nucleic Acid Hybridization, Chromosomes, Oncology, Carcinoma, Non-Small-Cell Lung, Mannose-Binding Protein-Associated Serine Proteases, Genetics, Carcinoma, Squamous Cell, Humans, Chromosomes, Human, Pair 3, Somatostatin, RC254-282, Biomarkers, Research Article, Oligonucleotide Array Sequence Analysis
Cancer Research, Chromosomes, Artificial, Bacterial, Lung Neoplasms, Genome, Human, Gene Expression Profiling, Receptor, EphB3, 610, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Nucleic Acid Hybridization, Chromosomes, Oncology, Carcinoma, Non-Small-Cell Lung, Mannose-Binding Protein-Associated Serine Proteases, Genetics, Carcinoma, Squamous Cell, Humans, Chromosomes, Human, Pair 3, Somatostatin, RC254-282, Biomarkers, Research Article, Oligonucleotide Array Sequence Analysis
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 72 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |