Bioinformatics analysis of differentially expressed miRNAs in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) contains 85% of lung cancer. Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are the largest NSCLC subgroups. The aim of the study was to investigate the underlying mechanism in developing more effective subtype-specific molecular therapeutic procedures. A total of 876 specimens were used in this study: 494 LUAD tissues (ie, 449 LUAD tissues and 45 matched normal tissues) and 382 LUSC tissues (ie, 337 LUSC tissues and 45 matched normal tissues). The miRNA sequencing data were processed using R. The differential expressed miRNAs between lung cancer and normal tissues were analyzed using the limma package in R. Gene expression, Western blotting, hematoxylin and eosin staining, and luciferase assay were used to test LUAD and LUSC. LUAD and LUSC appear sharply distinct at molecular and pathological level. Let-7a-5p, miR-338, miR-375, miR-217, miR-627, miR-140, miR-147b, miR-138-2, miR-584, and miR-197 are top 10 relevant miRNAs and CLDN3, DSG3, KRT17, TMEM125, KRT5, NKX2-1, KRT7, ABCC5, KRAS, and PLCG2 are top 10 relevant genes in NSCLC. At the same time, the miRNAs expression levels were also quite different between the two groups. Among the differential expressed miRNAs, let-7a-5p was significantly down-regulated in LUAD while miR-338 was markedly down-regulated in LUSC. Bioinformatics analyses appeared that let-7a-5p directly targets high-molecular weight keratin 5 (KRT5) which were shown to be a strong risk factor for LUAD. And NK2 homeobox 1(NKX2-1) which was associated with tumor progression in LUSC was identified as a target gene of miR-338. Distinct profile of miRNAs can take a part in the development of LUAD and LUSC and thus could serve as a subtype-specific molecular therapeutic target to protect against LUAD and LUSC.

Yu H ，Pang Z ，Li G ，Gu T ... -  《-》

Downregulation of HOXA3 in lung adenocarcinoma and its relevant molecular mechanism analysed by RT-qPCR, TCGA and in silico analysis.

Gan BL ，He RQ ，Zhang Y ，Wei DM ，Hu XH ，Chen G ... -  《-》

MiRNA expression profiling in adenocarcinoma and squamous cell lung carcinoma reveals both common and specific deregulated microRNAs.

The current study investigated the expression signatures of miRNAs in lung adenocarcinoma (LUAD) and squamous cell lung carcinoma (LUSC). miRNA profiling was performed using microarray in 12 LUAD and 12 LUSC samples and adjacent normal tissues. In LUAD, 107 miRNAs were significantly deregulated, whereas 235 miRNAs were deregulated in LUSC. Twenty-six miRNAs were common between the 2 cancer subtypes and 8 were prioritized for validation, in addition to 6 subtype-specific miRNAs. The RT-qPCR validation samples included 50 LUAD, 50 LUSC, and adjacent normal tissues. Eight miRNAs were validated in LUAD: 3 upregulated - miR-7-5p, miR-375-5p, miR-6785-3p, and 5 downregulated - miR-101-3p, miR-139-5p, miR-140-3p, miR-144-3p, miR-195-5p. Ten miRNAs were validated in the LUSC group: 3 upregulated - miR-7-5p, miR-21-3p, miR-650, and 7 downregulated - miR-95-5p, miR-140-3p, miR-144-3p, miR-195-5p, miR-375, miR-744-3p, and miR-4689-3p. Reactome pathway analysis revealed that the target genes of the deregulated miRNAs in LUAD were significantly enriched in cell cycle, membrane trafficking, gene expression processes, and EGFR signaling, while in LUSC, they were enriched in the immune system, transcriptional regulation by TP53, and FGFR signaling. This study identified distinct miRNA profiles in LUSC and LUAD, which are common and specific miRNAs that could be further investigated as biomarkers for diagnosis and prognosis.

Petkova V ，Marinova D ，Kyurkchiyan S ，Stancheva G ，Mekov E ，Kachakova-Yordanova D ，Slavova Y ，Kostadinov D ，Mitev V ，Kaneva R ... -  《-》

[Identification of differentially expressed genes between lung adenocarcinoma and squamous cell carcinoma using transcriber signature analysis].

Peng S ，Li X ，Liu Q ，Zhang Y ，Zou L ，Gong X ，Wang M ，Ma X ... -  《-》

System analysis of FHIT in LUAD and LUSC: The expression, prognosis, gene regulation network, and regulation targets.

Situ Y ，Gao R ，Lei L ，Deng L ，Xu Q ，Shao Z ... -  《-》