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MicroRNA, mRNA, and Proteomics Biomarkers and Therapeutic Targets for Improving Lung Cancer Treatment Outcomes

The majority of lung cancer patients are diagnosed with metastatic disease. This study identified a set of 73 microRNAs (miRNAs) that classified lung cancer tumors from normal lung tissues with an overall accuracy of 96.3% in the training patient cohort ( = 109) and 91.7% in unsupervised classificat...

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Published in:Cancers 2023-04, Vol.15 (8), p.2294
Main Authors: Ye, Qing, Raese, Rebecca, Luo, Dajie, Cao, Shu, Wan, Ying-Wooi, Qian, Yong, Guo, Nancy Lan
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description The majority of lung cancer patients are diagnosed with metastatic disease. This study identified a set of 73 microRNAs (miRNAs) that classified lung cancer tumors from normal lung tissues with an overall accuracy of 96.3% in the training patient cohort ( = 109) and 91.7% in unsupervised classification and 92.3% in supervised classification in the validation set ( = 375). Based on association with patient survival ( = 1016), 10 miRNAs were identified as potential tumor suppressors (hsa-miR-144, hsa-miR-195, hsa-miR-223, hsa-miR-30a, hsa-miR-30b, hsa-miR-30d, hsa-miR-335, hsa-miR-363, hsa-miR-451, and hsa-miR-99a), and 4 were identified as potential oncogenes (hsa-miR-21, hsa-miR-31, hsa-miR-411, and hsa-miR-494) in lung cancer. Experimentally confirmed target genes were identified for the 73 diagnostic miRNAs, from which proliferation genes were selected from CRISPR-Cas9/RNA interference (RNAi) screening assays. Pansensitive and panresistant genes to 21 NCCN-recommended drugs with concordant mRNA and protein expression were identified. DGKE and WDR47 were found with significant associations with responses to both systemic therapies and radiotherapy in lung cancer. Based on our identified miRNA-regulated molecular machinery, an inhibitor of PDK1/Akt BX-912, an anthracycline antibiotic daunorubicin, and a multi-targeted protein kinase inhibitor midostaurin were discovered as potential repositioning drugs for treating lung cancer. These findings have implications for improving lung cancer diagnosis, optimizing treatment selection, and discovering new drug options for better patient outcomes.
doi_str_mv 10.3390/cancers15082294
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subjects AKT protein
Anthracycline
Artificial intelligence
Bioinformatics
Biological markers
Biomarkers
Cancer
Cancer therapies
Care and treatment
Cell cycle
CRISPR
Daunorubicin
Disease
Drug development
Drug therapy
Ethylenediaminetetraacetic acid
Gene expression
Genes
Genetic aspects
Genomes
Health aspects
Lung cancer
Medical prognosis
Medical research
Medicine, Experimental
Messenger RNA
Metastases
Metastasis
MicroRNA
MicroRNAs
miRNA
mRNA
Pathology
Patient outcomes
Patients
Protein kinase inhibitors
Proteins
Proteomics
Radiation therapy
Respiratory agents
RNA-mediated interference
Survival
Therapeutic targets
Tumors
title MicroRNA, mRNA, and Proteomics Biomarkers and Therapeutic Targets for Improving Lung Cancer Treatment Outcomes
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