2023
DOI: 10.3389/fonc.2023.1206768
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Identification and validation of differentially expressed genes for targeted therapy in NSCLC using integrated bioinformatics analysis

Abstract: BackgroundDespite the high prevalence of lung cancer, with a five-year survival rate of only 23%, the underlying molecular mechanisms of non-small cell lung cancer (NSCLC) remain unknown. There is a great need to identify reliable candidate biomarker genes for early diagnosis and targeted therapeutic strategies to prevent cancer progression.MethodsIn this study, four datasets obtained from the Gene Expression Omnibus were evaluated for NSCLC- associated differentially expressed genes (DEGs) using bioinformatic… Show more

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Cited by 2 publications
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“…Moreover, the DDR1-BCR-ABL axis is strongly correlated with the KRAS PI3K-AKT-mTOR axis. The combinational targeting of DDR1, BCR-ABL, and EGFR-ERBB2 is a promising therapeutic approach with future perspectives [28,100,101].…”
Section: Ddr1 Inhibitorsmentioning
confidence: 99%
“…Moreover, the DDR1-BCR-ABL axis is strongly correlated with the KRAS PI3K-AKT-mTOR axis. The combinational targeting of DDR1, BCR-ABL, and EGFR-ERBB2 is a promising therapeutic approach with future perspectives [28,100,101].…”
Section: Ddr1 Inhibitorsmentioning
confidence: 99%