ArticleCellular and molecular biology (Noisy-le-Grand, France)2022
Network pharmacology study of Citrus reticulata and Pinellia ternata in the treatment of non-small cell lung cancer.
Article in Cellular and molecular biology (Noisy-le-Grand, France), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Circ_BLNK is a Unique Molecular Marker in Non-small Cell Lung Cancer.Biochemical genetics · 2025Article
- Mechanism Research of PZD Inhibiting Lung Cancer Cell Proliferation, Invasion, and Migration based on Network Pharmacology.Current pharmaceutical design · 2024Article
- Phytochemicals as estrogen receptor modulators?-a commentary of a network pharmacology study of two commonly employed Chinese herbal medicines in non-small cell lung cancer treatment.Translational cancer research · 2023Article
- Circular circRANGAP1 Contributes to Non-small Cell Lung Cancer Progression by Increasing COL11A1 Expression Through Sponging miR-653-5p.Biochemical genetics · 2023Article
- Comparison of clinical efficacy between chrono-chemotherapy and conventional chemotherapy in patients with non-small cell lung cancer.American journal of cancer research · 2023Article
- Risk prediction of poor wound healing in patients with thoracoscopic lung cancer resection with drainage tube.American journal of cancer research · 2023Article
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6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been recognized that Citrus reticulata and Pinellia ternata have a good therapeutic effect on NSCLC. However, the potential mechanism of C. reticulata and P. ternata in the treatment of NSCLC based on network pharmacology analysis is not clear. The "Drug-Component-Target-Disease" network was constructed by Cytoscape, and the protein interaction (PPI) network was constructed by STRING. Our study indicated that 18 active ingredients of C. reticulata and P. Ternata were screened from the TCMSP database, and 56 target genes of C. reticulata and P. Ternata for the treatment of NSCLC were identified, and we constructed the "Drug-Component-Target-Disease" network. In this study, we screened 56 PPI core genes to establish a PPI network. We concluded that the network pharmacology mechanism of the effect of C. reticulata and P. Ternata on NSCLC may be closely related to the protein expressed by TP53, ESR1, FOS, NCOA3 and MAPK8, and these may play the therapeutic roles by regulating the IL-17 signaling pathway, antigen processing and presentation, microRNAs in cancer and endocrine resistance.
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