ArticleJournal of cell communication and signaling2020
Comprehensive transcriptomic analysis identifies novel regulators of lung adenocarcinoma.
Article in Journal of cell communication and signaling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 28 citations in OpenAlex.
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- Identification of MAD2L1 as a novel biomarker for hepatoblastoma through bioinformatics and machine learning approaches.Frontiers in oncology · 2025Article
- Clo-miR-14: a medicinally valued spice-derived miRNA with therapeutic implications in rheumatoid arthritis.Bioscience reports · 2024Article
- Advanced stage, high-grade primary tumor ovarian cancer: a multi-omics dissection and biomarker prediction process.Scientific reports · 2023Article
- Decoding the key compounds and mechanism of Shashen Maidong decoction in the treatment of lung cancer.BMC complementary medicine and therapies · 2023Article
- A noval prognostic signature of the N7-methylguanosine (m7G)-related miRNA in lung adenocarcinoma.BMC pulmonary medicine · 2023Article
- Identification of key regulators associated with colon cancer prognosis and pathogenesis.Journal of cell communication and signaling · 2022Article
- Yay team!: 5.782.Journal of cell communication and signaling · 2021Article
- Potential role of glucosamine-phosphate N-acetyltransferase 1 in the development of lung adenocarcinoma.Aging · 2021Article
- Identification of potential key genes and miRNAs involved in Hepatoblastoma pathogenesis and prognosis.Journal of cell communication and signaling · 2021Article
- Article
- Bioinformatics study on genes related to a high-risk postoperative recurrence of lung adenocarcinoma.Science progressArticle
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2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung adenocarcinoma (LA) is a subtype of lung cancer that accounts for about 40% of all lung cancers. Analysis of molecular mechanisms controlling this cancer can help scientists to detect, control and treat LA. Here, a microarray dataset (GSE118370) containing six normal lung (NL) and six LA samples was screened using GEO2R to find differentially expressed genes (DEGs). Then, DAVID, KEGG and ChEA were used to analyze DEGs-related gene ontology, pathways and transcription factors (TFs), respectively. The Protein-protein interaction network for DEGs and TFs was constructed by STRING and Cytoscape. To find microRNAs and metabolites associated with DEGs, miRTarBase and HMDB were used, respectively. It was found that 350 genes were upregulated and 608 genes were downregulated in LA. The upregulated genes or LA-related gens were enriched in biological process and pathways such as extracellular matrix disassembly and p53 signaling pathway, whereas the downregulated genes or NL-related genes were enriched in cell adhesion and cell-surface receptor signaling pathway. ESR1, KIF18B, BIRC5, CHEK1, CCNB1 and AURKA were determined as hub genes for LA. FOXA1 and TFAP2A had the highest number of connectivity in LA-related TFs. hsa-miR-192-5p and hsa-miR-215-5p could target the highest number of LA-related genes. Metabolite analysis showed that Estrone and NADPH were among the top ten metabolites associated with LA-related genes. Taken together, LA-related genes, especially the hub genes, TFs, and metabolites might be used as novel markers for LA, as well as for diagnosis and guiding therapeutic strategies of LA.
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