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- W4200114037 startingPage "219" @default.
- W4200114037 abstract "There is an unmet clinical need to identify patients with early-stage non-small cell lung cancer (NSCLC) who are likely to develop recurrence and to predict their therapeutic responses. Our previous study developed a qRT-PCR-based seven-gene microfluidic assay to predict the recurrence risk and the clinical benefits of chemotherapy. This study showed it was feasible to apply this seven-gene panel in RNA sequencing profiles of The Cancer Genome Atlas (TCGA) NSCLC patients (n = 923) in randomly partitioned feasibility-training and validation sets (p < 0.05, Kaplan-Meier analysis). Using Boolean implication networks, DNA copy number variation-mediated transcriptional regulatory network of the seven-gene signature was identified in multiple NSCLC cohorts (n = 371). The multi-omics network genes, including PD-L1, were significantly correlated with immune infiltration and drug response to 10 commonly used drugs for treating NSCLC. ZNF71 protein expression was positively correlated with epithelial markers and was negatively correlated with mesenchymal markers in NSCLC cell lines in Western blots. PI3K was identified as a relevant pathway of proliferation networks involving ZNF71 and its isoforms formulated with CRISPR-Cas9 and RNA interference (RNAi) profiles. Based on the gene expression of the multi-omics network, repositioning drugs were identified for NSCLC treatment." @default.
- W4200114037 created "2021-12-31" @default.
- W4200114037 creator A5018999020 @default.
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- W4200114037 creator A5072867312 @default.
- W4200114037 creator A5084905059 @default.
- W4200114037 date "2021-12-25" @default.
- W4200114037 modified "2023-10-06" @default.
- W4200114037 title "A Multi-Omics Network of a Seven-Gene Prognostic Signature for Non-Small Cell Lung Cancer" @default.
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