Yi Qi Chu Tan Formula (YQCTF) inhibited the progress of lung cancer via regulating tumor-associated neutrophil: An integrated study of network pharmacology, proteomics and pharmacodynamics

This study aimed to evaluate the therapeutic efficacy of YQCTF on NSCLC mice model and further explore its therapeutic targets by using network pharmacology, proteomics and pharmacodynamic methodologies. Materials and

YQCTF inhibited the progress of mice NSCLC allograft, suppressed the pro-tumorigenic tumor-associated neutrophils and improved the tumor immune microenvironment (TIME).

The network pharmacology analysis was firstly conducted to screen out the potential active ingredients and therapeutic targets of YQCTF against NSCLC. Three kinds of extracts, i.e. the water extract (WE), water extraction-alcohol precipitation (WEAP) and alcohol extract (AE) of YQCTF were prepared, which chemical compositions were subsequently analyzed by using ultra-high performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS), and which anti-neoplastic efficacy was examined on NSCLC mice model. Mice tumor tissues were collected for proteomics analysis, and the immunomodulatory effects of YQCTF extracts on the tumor microenvironment (TME) were further validated by using flow cytometry, immunofluorescence, ELISA and Western blot.

Network pharmacology identified 60 conjunct genes and ample cancer-related signaling pathways as potential therapeutic targets of YQCTF. Protein-protein interaction (PPI), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that YQCTF might negatively regulate cancer-related inflammation. UPLC-MS/MS analysis showed that the main components of YQCTF include at least ginsenosides, solasodine, solamargine, solasonine, peimisine, peiminine, peimine and sipeimine-3β-D-glucosihde. All kinds of YQCTF extracts significantly inhibited the growth of lung cancer allograft and regulated the ratio of immune cells in tumor tissues, i.e. upregulated the fractions of T cells, promoted the maturation of dendritic cells (DCs), increased the M1/M2 ratio of tumor-related macrophages, but reduced the number of Tregs and immunosuppressive neutrophils. Proteomics identified neutrophils to be the most prominently enriched target linked to NETs formation in mice tumor tissue, which is verified by the downregulation of neutrophil recruiting factors involving IL-6, HIF-1α and IL-8, as well as the decreases of NETs-related biomarkers including H3cit, MPO, CD18, MMP9 and ICAM-1 in immunofluorescence, ELISA and Western blot analysis.