Based on BATMAN-TCM to Explore the Molecular Mechanism of Xihuang Pill Regulating Immune Function to Treat Breast Precancerous Lesions

Li, Dehui; Fan, Huanfang; Dong, Jing‐fei; Sun, Cheng-Yi; Su, Yifan; Liu, Jiao; Gu, Yiting

doi:10.2147/bctt.s339607

Cited by 11 publications

(9 citation statements)

References 47 publications

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“…In recent years, XHP as a natural product draws increasing attention in the prevention and treatment of BrCa [8][9][10][11][17][18]. However, the relationship between XHP and ferroptotic for BrCa has not been reported.…”

Section: Discussionmentioning

confidence: 99%

“…The association of ferroptosis and tumor-immune cell in ltration and immunotherapy are closely related in BrCa according to the reported literature [19]. XHP has been reported to modulate the IL-2 and IFN-γ levels and the content of B7-1 cells, Treg cells, CD3 + T cells, and CD8 + T cells, increase the function of the mononuclear phagocytic cells, and to further enhance immune function and play an antitumor effect [10,17,20]. So, whether XHP is involved in the regulation of immune responses by eigh ferroptosis genes related to the BrCa patient's prognosis still has to be elucidated.…”

Section: Discussionmentioning

confidence: 99%

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Xihuang Pill regulates Ferroptosis-Related Genes, contributing to improved prognosis of Breast Cancer

Liu

et al. 2023

Preprint

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The natural compound Xihuang Pill (XHP) has an anti-cancer effect and was effective for breast cancer (BrCa) prevention and treatment. However, the mechanisms underlying this effect remain poorly characterized. Here, we searched the ferroptosis-related genes (FRGs) regulated by XHP using the HERB and FerrDb databases, and extracted the FRGs' data on expression and pertinent clinical data by way of the TCGA dataset. A single-factor Cox regression analysis was used to confirm FRGs associated with prognosis, and LASSO Cox regression analysis was used for prognostic model building. We then constructed a prognostic model and assessed it based on Kaplan-Meier survival curves and ROC curves. Next, we applied GO, KEGG, and ssGSEA analyses to further investigate FRGs' functions and potential mechanisms. We discovered that eight FRGs from the XHP targets were associated with a higher likelihood of survival. The prognostic model formed by eight genes also possessed good prognostic ability, and the risk score could be a separate risk factor for the BrCa prognosis. The GO, KEGG, and ssGSEA analyses showed risk score-related genes were associated with immune-related activities. Molecular docking showed that quercetin and beta-sitosterol as XHP's active ingredients are effective and promising agents for the treatment of BrCa. Our results provided insights into the underlying molecular mechanisms by which XHP improves BrCa patient prognosis; quercetin and beta-sitosterol may provide a new road for anti-BrCa natural products.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Xihuang Pill regulates Ferroptosis-Related Genes, contributing to improved prognosis of Breast Cancer

Liu

et al. 2023

Preprint

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“…Yang Shen et al found that most tumour-in ltrating CD8 + CD103 + tissue-resident memory T cells in gastric cancer tissue were TEM cells compared with nontumor tissue which were relational with the prognosis of patients suffered from gastric cancer [33]. Li Dehui et al found that Xihuang Pill could regulate Th1 and Th2 cell levels in rats with precancerous lesions, thereby regulating the Th1/Th2 ratio [34]. A study demonstrated that the expanded M1-like macrophage signature was enriched in BLCA samples and was associated with reduced OS in BLCA patients [35].…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of Iron Metabolism-Related Genes in Bladder Urothelial Carcinoma

Yue

et al. 2022

Preprint

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Background: Iron metabolism-related genes have shown good predictive value for the prognosis of many solid tumours. However, iron metabolism-related genes have not been reported as prognostic biomarkers in bladder urothelial carcinoma.Methods: In this study, gene expression data and clinical data were downloaded from The Cancer Genome Atlas database. Differential gene expression analysis, univariate Cox regression analysis and the least absolute shrinkage and selection operator regression algorithm were used to screen prognostic iron metabolism-related genes and to construct a risk scoring model. Kaplan-Meier survival plots and receiver operating characteristic curve analysis were used to evaluate the prognostic performance of the risk scoring model in the TCGA-BLCA cohort. In addition, a nomogram model with the risk score was established, and its predictive performance was verified by receiver operating characteristic analysis and calibration plot analysis in the TCGA-BLCA cohort. Gene set enrichment analysis identified pathways and biological processes that may be enriched in the high-risk group. Finally, immune infiltration analysis was used to explore the characteristics of the tumour microenvironment related to the risk score. Results: We identified 14 iron metabolism-related genes with prognostic value and constructed a risk scoring model. Receiver operating characteristic analysis showed that the risk scoring model can accurately predict the 1-year, 3-year, and 5-year overall survival of BLCA patients in the TCGA-BLCA cohort. Kaplan-Meier analysis showed that the overall survival of the high-risk group was significantly lower than that of the low-risk group (P<0.001). The nomogram model effectively predicted the overall survival of BLCA patients in the TCGA-BLCA cohort. Gene set enrichment analysis indicated that iron metabolism-related genes may be involved in biological processes such as developmental processes, the cell cycle, mitosis, the RHO GTPase response, DNA repair, and extracellular matrix regulation. Immune infiltration analysis showed that the level of immune cell infiltration in the high-risk group was high, and the risk score was positively correlated with infiltrating immune cells. Conclusions: Our prognostic model based on iron metabolism-related genes in BLCA could help the prognostic assessment of BLCA patients and provide potential targets for BLCA inhibition.

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“…The chemical components of Sishen Decoction were searched and obtained based on the Batman-TCM database and screened and supplemented with literature ( 14 ). The simplified molecular input line entry system (SMILES) notations and 2D structures of the chemical components were determined by searching the names of the obtained chemical components in the PubChem database ( https://pubchem.ncbi.nlm.nih.gov ).…”

Section: Methodsmentioning

confidence: 99%

Exploring the molecular mechanism of Sishen Decoction in the treatment of rheumatoid arthritis

Zheng¹,

Zhao²,

Qi³

et al. 2022

Ann Transl Med

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Background: To explore the potential targets and mechanism of action of Sishen Decoction in the treatment of rheumatoid arthritis (RA) using a network pharmacology approach.Methods: Firstly, we analyzed the differentially expressed genes in the Gene Expression Omnibus (GEO) database and constructed a protein-protein interaction (PPI) network using potential core target proteins determined by the STRING platform and Cytoscape software. We also performed gene ontology functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis, and gene set enrichment analysis (GSEA) on the potential targets, and then used the disease target database to download targets related to RA pathogenesis. The relevant targets were intersected with the action targets of Sishen Decoction to obtain the potential targets considered for the treatment of RA with Sishen Decoction.Results: The GSE55235 and GSE77298 datasets were downloaded from the GEO database for analysis, and 73 genes with abnormally high expression in RA and 26 genes with abnormally low expression in RA were obtained by taking the intersection of highly expressed genes and low expression genes in RA.The results of KEGG and Metascape showed that the differential genes were enriched in inflammationrelated signaling pathways such as leukocyte migration, myeloid leukocyte-mediated immunity, and lymphocyte activation, as well as bone activation and bone development, which are closely related to RA.In the exploration of the drug targets of Sishen Decoction for the treatment of RA, it was found that Sishen Decoction may regulate the interleukin (IL)-17) signaling pathway, tumour necrosis factor (TNF) signaling pathway, and chemokine signaling pathway in RA by targeting MMP9 and CXCR4.Conclusions: This study explored the potential targets and signaling pathways of Sishen Decoction in the treatment of RA, which may help to illustrate the mechanisms involved in the action of Sishen Decoction and better understand its anti-RA role in the inhibition of angiogenesis, synovial proliferation, and bone destruction.

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Based on BATMAN-TCM to Explore the Molecular Mechanism of Xihuang Pill Regulating Immune Function to Treat Breast Precancerous Lesions

Cited by 11 publications

References 47 publications

Xihuang Pill regulates Ferroptosis-Related Genes, contributing to improved prognosis of Breast Cancer

Xihuang Pill regulates Ferroptosis-Related Genes, contributing to improved prognosis of Breast Cancer

Prognostic Value of Iron Metabolism-Related Genes in Bladder Urothelial Carcinoma

Exploring the molecular mechanism of Sishen Decoction in the treatment of rheumatoid arthritis

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