High-Throughput Screen of Natural Compounds and Biomarkers for NSCLC Treatment by Differential Expression and Weighted Gene Coexpression Network Analysis (WGCNA).
Biological Products
/ isolation & purification
Biomarkers, Tumor
/ chemistry
Carcinoma, Non-Small-Cell Lung
/ drug therapy
Cell Line, Tumor
Computational Biology
/ methods
Gene Expression Profiling
/ methods
Gene Regulatory Networks
/ drug effects
High-Throughput Screening Assays
/ methods
Humans
Lung Neoplasms
/ drug therapy
Plant Extracts
/ chemistry
Transcriptome
Journal
BioMed research international
ISSN: 2314-6141
Titre abrégé: Biomed Res Int
Pays: United States
ID NLM: 101600173
Informations de publication
Date de publication:
2021
2021
Historique:
received:
19
05
2021
revised:
24
06
2021
accepted:
13
07
2021
entrez:
6
9
2021
pubmed:
7
9
2021
medline:
21
10
2021
Statut:
epublish
Résumé
Lung cancer is known as the leading cause which presents the highest fatality rate worldwide; non-small-cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with high severity and affects 80% of patients with lung malignancies. Up to now, the general treatment for NSCLC includes surgery, chemotherapy, and radiotherapy; however, some therapeutic drugs and approaches could cause side effects and weaken the immune system. The combination of conventional therapies and traditional Chinese medicine (TCM) significantly improves treatment efficacy in lung cancer. Therefore, it is necessary to investigate the chemical composition and underlying antitumor mechanisms of TCM, so as to get a better understanding of the potential natural ingredient for lung cancer treatment. In this study, we selected 78 TCM to treat NSCLC cell line (A549) and obtained 92 transcriptome data; differential expression and WGCNA were applied to screen the potential natural ingredient and target genes. The sample which was treated with
Identifiants
pubmed: 34485520
doi: 10.1155/2021/5955343
pmc: PMC8416370
doi:
Substances chimiques
Biological Products
0
Biomarkers, Tumor
0
Plant Extracts
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5955343Informations de copyright
Copyright © 2021 Ling Kui et al.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
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