Abstract In this study, we aimed to explore the long noncoding RNA expression pattern in squamous cell lung cancer (SQCC) on a genome-wide scale. Total RNAs were extracted from 16 lung SQCC patients’ normal and matched lung cancer tissues by Trizol reagent. The expression level of genome-wide scale lncRNA and mRNA was determined by microarray. qRT-PCR was used to validate the lncRNA expression level in 47 patients. Data analyses were performed using R and Bioconductor. A total of 2,748 up and 852 down regulated probes were identified to be significantly and differentially expressed in tumor tissues. The annotation result of their co-expressed mRNAs showed that the most significantly related category of GO analysis was development and differentiation, while the most significantly related pathway was cell cycle. Subgroup analysis identified that 46 and 18 probes were specifically differentially expressed in smoking and moderately differentiated tumors, respectively. Our study indicated that clusters of lncRNAs were significantly and differentially expressed in SQCC compared with normal tissues in the same subject. They may exert a significant role in lung cancer development and could be potential targets for future treatment of SQCC.
Lung cancer is one of the most common cancers and is the leading cause of death worldwide. Platinum-based chemotherapy is the main treatment method in lung cancer patients. Our previous studies indicated that single nucleotide polymorphisms (SNPs) in some transporter genes played important role in platinum-based chemotherapy efficacy. The aim of this study was to investigate the association of SNPs in transporter genes and platinum-based chemotherapy efficacy. The main polymorphisms on transporters OCT2, LRP, AQP2, AQP9 and TMEM205 genes were genotyped in 338 lung cancer patients. The rs195854 in genotypic model, rs896412 in genotypic and recessive models for all subjects showed significant association with chemotherapy response. In stratification analysis, TMEM205 rs896412, OCT2 rs1869641 and rs195854, AQP9 rs1516400 and AQP2 rs7314734 showed significant relation to chemotherapy response. In conclusion, the genetic polymorphisms in OCT2, AQP2, AQP9 and TMEM205 may contribute to chemotherapy response in lung cancer patients.