Integrative Analysis for Identification of Therapeutic Targets and Prognostic Signatures in Non-Small Cell Lung Cancer

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dc.authoridComertpay, Betul/0000-0002-3515-1461
dc.authoridERKIN, OZGUR CEM/0000-0001-9818-3447
dc.contributor.authorErkin, Ozgur Cem
dc.contributor.authorComertpay, Betul
dc.contributor.authorGov, Esra
dc.date.accessioned2025-01-06T17:43:48Z
dc.date.available2025-01-06T17:43:48Z
dc.date.issued2022
dc.description.abstractDifferential expressions of certain genes during tumorigenesis may serve to identify novel manageable targets in the clinic. In this work with an integrated bioinformatics approach. we analyzed public microarray datasets from Gene Expression Omnibus (GEO) to explore the key differentially expressed genes (DEGs) in non-small cell lung cancer (NSCLC). We identified a total of 984 common DEGs in 252 healthy and 254 NSCLC gene expression samples. The top 10 DEGs as a result of pathway enrichment and protein-protein interaction analysis were further investigated for their prognostic performances. Among these, we identified high expressions of CDC20, AURKA, CDK1. EZH2. and CDKN2A genes that were associated with significantly poorer overall survival in NSCLC patients. On the contrary. high mRNA expressions of CBL. FYN, LRKK2. and SOCS2 were associated with a significantly better prognosis. Furthermore. our drug target analysis for these hub genes suggests a potential use of Trichostatin A, Pracinostat. TGX-221, PHA-793887, AG-879. and IMD0354 antineoplastic agents to reverse the expression of these DEGs in NSCLC patients.
dc.identifier.doi10.1177/11779322221088796
dc.identifier.issn1177-9322
dc.identifier.pmid35422618
dc.identifier.scopus2-s2.0-85128410196
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1177/11779322221088796
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2806
dc.identifier.volume16
dc.identifier.wosWOS:000780120400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSage Publications Ltd
dc.relation.ispartofBioinformatics and Biology Insights
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectNon-small cell lung cancer
dc.subjectdifferential gene expression
dc.subjectintegrative bioinformatics analysis
dc.subjectdrug target potential analysis
dc.titleIntegrative Analysis for Identification of Therapeutic Targets and Prognostic Signatures in Non-Small Cell Lung Cancer
dc.typeArticle

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