Correlation between IL-17A expression in nasopharyngeal carcinoma tissues and cells and pathogenesis of NPC in endemic areas

Unraveling the mechanism of Yiqi Jiedu formula against nasopharyngeal carcinoma: An investigation integrating network pharmacology, serum pharmacochemistry, and metabolomics

ETHNOPHARMACOLOGICAL RELEVANCE

Yiqi Jiedu formula (YQJDF), rooted in the traditional Chinese medicinal principle of "tonifying qi and detoxifying", is remarkably efficacious in the clinical treatment of nasopharyngeal carcinoma (NPC). Previous studies have shed light on some of its anti-NPC effects and mechanisms, but the responsible pharmacological substances and their precise mechanisms of action remain unclear.

AIM OF THE STUDY

The purpose of this study was to identify components of YQJDF that entered the bloodstream and to investigate their mechanisms of action against NPC through network pharmacology and serum metabolomics.

MATERIAL AND METHODS

Components of YQJDF in serum were identified using liquid chromatography-tandem mass spectrometry. With these serum species as the focus of our research, network pharmacology analysis was used to identify active compounds and target genes that might mediate the efficacy of YQJDF in the treatment of NPC. Following establishment of an NPC xenograft model in nude mice, a non-targeted metabolomics approach was adopted to identify significant serum metabolites and metabolic pathways influenced by YQJDF.

RESULTS

Thirty-six components of YQJDF were identified, primarily consisting of alkaloids, phenylpropanoids, and flavonoids. Notably, pathways such as PI3K/AKT, factors associated with Epstein-Barr virus infection, IL-17 signaling, and lipid metabolism, were highlighted as potential therapeutic targets of YQJDF during NPC treatment. Additionally, our findings suggested that YQJDF modified the metabolism of arginine and proline in the serum of mice bearing nasopharyngeal tumor grafts.

CONCLUSIONS

This study identified the primary active components of YQJDF, highlighting its holistic role in the treatment of NPC through multiple targets and pathways. Furthermore, our findings provided a roadmap for future research into the mechanism of YQJDF in the therapy of NPC, setting the stage for its clinical application.

Identification of DTL as Related Biomarker and Immune Infiltration Characteristics of Nasopharyngeal Carcinoma via Comprehensive Strategies

Purpose

Although considerable progress has been made in basic and clinical research on nasopharyngeal carcinoma (NPC), the biomarkers of the progression of NPC have not been fully studied and described. This study was designed to identify potential novel biomarkers for NPC using integrated analyses and explore the immune cell infiltration in this pathological process.

Methods

Five GEO data sets were downloaded from gene expression omnibus database (GEO) and analysed to identify differentially expressed genes (DEGs), followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The four algorithms were adopted for screening of novel and key biomarkers for NPC, including random forest (RF) machine learning algorithm, least absolute shrinkage and selection operator (LASSO) logistic regression, support vector machine-recursive feature elimination (SVM-RFE), and weighted gene co-expression network analysis (WGCNA). Lastly, CIBERSORT was used to assess the infiltration of immune cells in NPC, and the correlation between diagnostic markers and infiltrating immune cells was analyzed.

Results

Herein, we identified 46 DEGs, and enrichment analysis results showed that DEGs and several kinds of signaling pathways might be closely associated with the occurrence and progression of NPC. DTL was recognized as NPC-related biomarker. DTL, also known as retinoic acid-regulated nuclear matrix-associated protein (RAMP), or DNA replication factor 2 (CDT2), is reported to be correlated with the cell proliferation, cell cycle arrest and cell invasion in hepatocellular carcinoma, breast cancer and gastric cancer. Immune infiltration analysis demonstrated that macrophages M0, macrophages M1 and T cells CD4 memory activated were linked to pathogenesis of NPC.

Conclusion

In summary, we adopted a comprehensive strategy to screen DTL as biomarkers related to NPC and explore the critical role of immune cell infiltration in NPC.

[IL-17A/lL-17RA reduces cisplatin sensitivity of ovarian cancer SKOV3 cells by regulating autophagy]

OBJECTIVE

To investigate the effect of interleukin-17A (IL-17A) on chemosensitivity of ovarian cancer cells to cisplatin (DDP) and explore the mechanism in light of autophagy regulation.

METHODS

Ovarian cancer SKOV3 cells cultured in vitro were treated with different concentrations of DDP (1-20 μg/mL). MTT assay was used to observe the changes in proliferation of the treated cells and the effect of treatment with 100 ng/mL IL-17A for 24 h on DDP-induced apoptosis of SKOV3 cells. We then examined the expression of IL-17A receptor (IL-17RA) in SKOV3 cells using flow cytometry. Annexin V-FITC/PI double staining was used to detect the cell apoptosis rate, and early apoptosis of the cells was detected with JC-1 assay. A neutralizing monoclonal antibody (mAb) against IL-17RA was used to block IL-17RA. We also observed the effects of IL-17RA silencing mediated by a siRNA targeting IL-17RA (siRNA-IL-17RA) and treatment with 3-methyladenine (3-MA) for inhibiting autophagy on DDP-induced apoptosis of SKOV3 cells. The expressions of apoptosis-related proteins (Bcl-2, Bax, and cleaved caspase-3) and autophagy-related proteins (P62 and Beclin-1) in the treated cells were detected using Western blotting.

RESULTS

DDP increased the expression of IL-17RA in ovarian cancer SKOV3 cells. Treatment with IL-17A significantly reduced the susceptibility of SKOV3 cells to cisplatin-induced apoptosis (P < 0.05). DDP obviously augmented the expression of Beclin-1 and reduced the autophagy degradation substrate P62 protein in the cells (P < 0.05). IL-17A/IL-17RA strongly enhanced the DDPinducted autophagy of the cells (P < 0.05). Blocking autophagy with 3-MA significantly increased DDP- induced apoptosis of SKOV3 cells with IL-17RA silencing, lowered the expression of Bcl-2 and enhanced Bax expression in the cells (P < 0.05).

CONCLUSIONS

IL-17A/IL-17RA can decrease chemosensitivity of SKOV3 cells to DDP by upregulating DDP-induced autophagy.