2017
DOI: 10.3892/mmr.2017.6629
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Bioinformatics analyses of the differences between lung adenocarcinoma and squamous cell carcinoma using The Cancer Genome Atlas expression data

Abstract: The present study aimed to explore gene and microRNA (miRNA) expression differences between lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified by analyzing mRNA and miRNA expression data in normal and cancerous lung tissues that were obtained from The Cancer Genome Atlas database. A total of 778 DEGs and 7 DEMs were identified. Altered gene functions and signaling pathways were investigated using G… Show more

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Cited by 22 publications
(16 citation statements)
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“…We only considered single nucleotide variants (SNVs)4 and use . DAMOKLE did not report any significant subnetwork, in agreement with previous work showing that these two cancer types have known differences in gene expression [33] but are much more similar with respect to SNVs [34].…”
Section: Resultssupporting
confidence: 66%
“…We only considered single nucleotide variants (SNVs)4 and use . DAMOKLE did not report any significant subnetwork, in agreement with previous work showing that these two cancer types have known differences in gene expression [33] but are much more similar with respect to SNVs [34].…”
Section: Resultssupporting
confidence: 66%
“…However, despite being the two major subtypes, analysis of the TME within and between LUAD and LUSC remain scarce. Accordingly, the differential survival associations of immunogenicity within LUAD and LUSC have not yet been explored despite observations of differential immune activity between these subtypes [13][14][15]. In the present study, we sought to determine whether an immune-inflamed TME would be enriched for a certain NSCLC subtype and whether this would be reflected in patient overall survival.…”
Section: Research Papermentioning
confidence: 98%
“…After related analysis, 577 mRNAs were obtained as the target genes and bioinformatic analyzed, revealing that some tumor-related genes were significant in cancers and protein–protein interaction. Similarly, many genes of them have reported on LUSC ( Li et al, 2016 ; Schlensog et al, 2016 ; Sun et al, 2017 ).…”
Section: Discussionmentioning
confidence: 93%