ArticleBMC medical genomics2017
In silico identification of potential key regulatory factors in smoking-induced lung cancer.
Article in BMC medical genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 42 citations in OpenAlex.
- Persistent transcriptomic changes following repeated exposure to wood smoke in nonhuman primate airway epithelial cells.Environmental epigenetics · 2026Article
- Persistent transcriptomic changes following repeated exposure to wood smoke in non-human primate airway epithelial cells.bioRxiv : the preprint server for biology · 2025Article
- Dauriporphine inhibited lung cancer cell viability, motility, and energy metabolism through the miR-424-5p/MAPK14 axis.Hereditas · 2025Article
- Perspectives on the α5 nicotinic acetylcholine receptor in lung cancer progression.Frontiers in cell and developmental biology · 2025Review
- Identification of potential pathogenic genes for urolithiasis through multi-omics Mendelian randomization analysis.Urolithiasis · 2024Article
- PHF8/KDM7B: A Versatile Histone Demethylase and Epigenetic Modifier in Nervous System Disease and Cancers.Epigenomes · 2024Review
- MAPK4 facilitates angiogenesis by inhibiting the ERK pathway in non-small cell lung cancer.Cancer innovation · 2024Article
- Transcriptomics analyses reveal the effects of Pentagamaboronon-0-ol on PI3K/Akt and cell cycle of HER2+ breast cancer cells.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Identification of the effects of COVID-19 on patients with pulmonary fibrosis and lung cancer: a bioinformatics analysis and literature review.Scientific reports · 2022Review
- Alpha5 nicotinic acetylcholine receptor mediated immune escape of lung adenocarcinoma via STAT3/Jab1-PD-L1 signalling.Cell communication and signaling : CCS · 2022Article
- NUCKS1 is a highly modified, chromatin-associated protein involved in a diverse set of biological and pathophysiological processes.The Biochemical journal · 2022Review
- Identifying potential novel insights for COVID-19 pathogenesis and therapeutics using an integrated bioinformatics analysis of host transcriptome.International journal of biological macromolecules · 2022Article
- MicroRNA-383: A tumor suppressor miRNA in human cancer.Frontiers in cell and developmental biology · 2022Review
- Gene expression profiling of corona virus microarray datasets to identify crucial targets in COVID-19 patients.Gene reports · 2021Article
- Article
- [Expression of CDC25A in non-small cell lung cancer and its relationship with let-7 gene].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Article
- BCAR1 promotes proliferation and cell growth in lung adenocarcinoma via upregulation of POLR2A.Thoracic cancer · 2020Article
- MicroRNA-383 inhibits proliferation, migration, and invasion in hepatocellular carcinoma cells by targeting PHF8.Molecular genetics & genomic medicine · 2020Article
- Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees.IEEE journal of biomedical and health informatics · 2020Article
- α5-nAChR contributes to epithelial-mesenchymal transition and metastasis by regulating Jab1/Csn5 signalling in lung cancer.Journal of cellular and molecular medicine · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer is a leading cause of cancer-related death worldwide and is the most commonly diagnosed cancer. Like other cancers, it is a complex and highly heterogeneous disease involving multiple signaling pathways. Identifying potential therapeutic targets is critical for the development of effective treatment strategies.
methodsWe used a systems biology approach to identify potential key regulatory factors in smoking-induced lung cancer. We first identified genes that were differentially expressed between smokers with normal lungs and those with cancerous lungs, then integrated these differentially expressed genes (DEGs) with data from a protein-protein interaction database to build a network model with functional modules for pathway analysis. We also carried out a gene set enrichment analysis of DEG lists using the Kinase Enrichment Analysis (KEA), Protein-Protein Interaction (PPI) hubs, and KEGG (Kyoto Encyclopedia of Genes and Genomes) databases.
resultsTwelve transcription factors were identified as having potential significance in lung cancer (CREB1, NUCKS1, HOXB4, MYCN, MYC, PHF8, TRIM28, WT1, CUX1, CRX, GABP, and TCF3); three of these (CRX, GABP, and TCF) have not been previously implicated in lung carcinogenesis. In addition, 11 kinases were found to be potentially related to lung cancer (MAPK1, IGF1R, RPS6KA1, ATR, MAPK14, MAPK3, MAPK4, MAPK8, PRKCZ, and INSR, and PRKAA1). However, PRKAA1 is reported here for the first time. MEPCE, CDK1, PRKCA, COPS5, GSK3B, BRCA1, EP300, and PIN1 were identified as potential hubs in lung cancer-associated signaling. In addition, we found 18 pathways that were potentially related to lung carcinogenesis, of which 12 (mitogen-activated protein kinase, gonadotropin-releasing hormone, Toll-like receptor, ErbB, and insulin signaling; purine and ether lipid metabolism; adherens junctions; regulation of autophagy; snare interactions in vesicular transport; and cell cycle) have been previously identified.
conclusionOur systems-based approach identified potential key molecules in lung carcinogenesis and provides a basis for investigations of tumor development as well as novel drug targets for lung cancer treatment.
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