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.

Hypoxia is correlated with the tumor immune microenvironment: Potential application of immunotherapy in bladder cancer.

OBJECTIVE: Hypoxia, which can considerably affect the tumor microenvironment, hinders the use of immunotherapy in bladder cancer (BLCA). Therefore, we aimed to identify reliable hypoxia-related biomarkers to guide clinical immunotherapy in BLCA. METHODS: Using data downloaded from TCGA-BLCA cohort, we determined BLCA subtypes which divide 408 samples into different subtypes. Tumor immune infiltration levels of two clusters were quantified using ssGSEA, MCPcounter, EPIC, ESTIMATE, and TIMER algorithms. Next, we constructed a hypoxia score based on the expression of hypoxia-related genes. The IMvigor210 cohort and SubMap analysis were used to predict immunotherapeutic responses in patients with different hypoxia scores. Hub genes were screened using cytoscape, immunohistochemistry (IHC), and multispectral immunofluorescence were used to detect the spatial distribution of immune markers. RESULTS: Patients with BLCA were categorized into cluster1 (n = 227) and Cluster2 (n = 181). Immune infiltration and expression of immune markers were higher in Cluster1. Immune infiltration was also more obvious in the high-hypoxia score group which related to a better predicted response to immunotherapy. IHC, and multispectral immunofluorescence confirmed the importance of TLR8 in immune infiltration and immune phenotype. CONCLUSIONS: BLCA subtype can evaluate the infiltration of immune cells in the tumor microenvironment of different patients. Hypoxia score in this study could effectively predict immunotherapeutic responses in patients with BLCA. TLR8 may be a potential target for clinical immunotherapy.

Analysis of active components and molecular mechanism of action of Rubia cordifolia L. in the treatment of nasopharyngeal carcinoma based on network pharmacology and experimental verification.

The aim of this study is to explore the active components and potential molecular mechanism of action of Rubia cordifolia L. against nasopharyngeal carcinoma (NPC). We used network pharmacology, molecular docking, and bioinformatics analysis to identify the active components and their role against NPC. The experimental verification was detected by MTT, AnnexinV-FITC/PI double fluorescence staining and Western blotting method. Network pharmacology identified that mollugin is one of the most effective components inRubia cordifolia L. Important NPC targets included HSP90AA1, CDK1, EGFR, PIK3CA, MAPK14, and CDK2. Molecular docking revealed considerable binding activity of mollugin with either of the 6 important NPC targets. Bioinformatics analysis showed that these 6 important targets were mutated in NPC, and the expression of HSP90AA1, PIK3CA, and CDK2 in cancer tissues was significantly different from that in normal tissues. MTT detection and AnnexinV-FITC/PI double fluorescence staining showed that mollugin inhibited the proliferation and induced apoptosis of NPC cells. Western blotting indicated that the molecular mechanism of mollugin against NPC was related to the regulation of the expression of Survivin and XIAP. This study predicted and partially verified the pharmacological and molecular mechanism of action of Rubia cordifolia L. against NPC. Mollugin was identified as a potential active ingredient against NPC. These results prove the reliability of network pharmacology approaches and provide a basis for further research and application of Rubia cordifolia L. against NPC.

Hyperthermia combined with immune checkpoint inhibitor therapy in the treatment of primary and metastatic tumors.

According to the difference in temperature, thermotherapy can be divided into thermal ablation and mild hyperthermia. The main advantage of thermal ablation is that it can efficiently target tumors in situ, while mild hyperthermia has a good inhibitory effect on distant metastasis. There are some similarities and differences between the two therapies with respect to inducing anti-tumor immune responses, but neither of them results in sustained systemic immunity. Malignant tumors (such as breast cancer, pancreatic cancer, nasopharyngeal carcinoma, and brain cancer) are recurrent, highly metastatic, and highly invasive even after treatment, hence a single therapy rarely resolves the clinical issues. A more effective and comprehensive treatment strategy using a combination of hyperthermia and immune checkpoint inhibitor (ICI) therapies has gained attention. This paper summarizes the relevant preclinical and clinical studies on hyperthermia combined with ICI therapies and compares the efficacy of two types of hyperthermia combined with ICIs, in order to provide a better treatment for the recurrence and metastasis of clinically malignant tumors.

Analysis of the Molecular Mechanism of Evodia rutaecarpa Fruit in the Treatment of Nasopharyngeal Carcinoma Using Network Pharmacology and Molecular Docking.

Background: Nasopharyngeal carcinoma (NPC), a neoplasm of the head and neck, has high incidence and mortality rates in East and Southeast Asia. Evodia rutaecarpa is a tree native to Korea and China, and its fruit (hereafter referred to as Evodia) exhibits remarkable antitumour properties. However, little is known about its mechanism of action in NPC. In this study, we employed network pharmacology to identify targets of active Evodia compounds in nasopharyngeal carcinoma and generate an interaction network. Methods: The active ingredients of Evodia and targets in NPC were obtained from multiple databases, and an interaction network was constructed via the Cytoscape and STRING databases. The key biological processes and signalling pathways were predicted using Gene Ontology and Kyoto Encyclopaedia of Genes and Genomes pathway enrichment analyses. Molecular docking technology was used to identify the affinity and activity of target genes, and The Cancer Genome Atlas and Human Protein Atlas databases were used to analyse differential expression. Cell Counting Kit-8 (CCK-8) and Annexin V-fluorescein isothiocyanate (FITC)/propidium iodide (PI) dual-fluorescence staining were used for experimental verification. Results: Active Evodia compounds included quercetin, isorhamnetin, and evodiamine, and important NPC targets included MAPK14, AKT1, RELA, MAPK1, JUN, and p53, which were enriched in lipid and atherosclerosis signalling pathways. Additionally, we verified the high affinity and activity of the active compounds through molecular docking, and the target proteins were verified using immunohistochemistry and differential expression analyses. Furthermore, CCK-8 assays and Annexin V-FITC/PI dual-fluorescence staining showed that isorhamnetin inhibited the proliferation of NPC cells and induced apoptosis. Conclusion: Our results identified the molecular mechanisms of Evodia and demonstrated its ability to alter the proliferation and apoptosis of NPC cells through multiple targets and pathways, thereby providing evidence for the clinical application of Evodia.

Turning up the heat on non-immunoreactive tumors: pyroptosis influences the tumor immune microenvironment in bladder cancer.

The latest research confirms that cytotoxic lymphocytes rely on pyroptosis to kill tumor cells, suggesting that pyroptosis plays a vital role in immune response. However, the influence of pyroptosis on tumor microenvironment (TME) remodeling and immunotherapy is still unclear. We analyzed the variations in the expression of 28 pyroptosis-related molecules in pan-cancer tissues and normal tissues and the influence of genome changes. We investigated 2,214 bladder cancer samples and determined that there are three pyroptosis phenotypes in bladder cancer, and there are significant differences in cell infiltration characteristics in different pyroptosis phenotypes. Phenotypes with high expression of pyroptosis-related molecules are "hot tumors" with better immune function. We used a principal component analysis to measure the level of pyroptosis in patients with PyroScore, and confirmed that the PyroScore can predict the prognosis of bladder cancer patients, the sensitivity of the immune phenotype to chemotherapy, and the response to immunotherapy. Patients with a high PyroScore are more sensitive to chemotherapeutics such as cisplatin and gemcitabine, and have a better prognosis (HR = 0.7; 95%CI = 0.51-0.97, P = 0.041). Our study suggests a significant correlation between the expression imbalance of pyroptosis-related molecules and genome variation in various cancers and suggests pyroptosis plays an important role in modeling the TME. Evaluating pyroptosis modification patterns contributes to enhancing our understanding of TME infiltration and can guide more effective immunotherapy strategies.

CD8+ T effector and immune checkpoint signatures predict prognosis and responsiveness to immunotherapy in bladder cancer.

Immune-checkpoint blockade (ICB) has been routinely implemented to treat bladder cancer; however, most patients have little or no clinical benefit. In this study, 348 pretreated metastatic urothelial cancer samples from the IMvigor210 cohort were used to identify important genes significantly associated with CD8+ T effector and immune checkpoint signatures. The immune checkpoint inhibitor score (IMS) scoring system was constructed to predict the immunotherapy responsiveness. Transcriptome analysis confirmed that the high IMS score group had significant immune activation with better prognosis and higher immunotherapy responsiveness, which was a powerful biomarker for predicting the prognosis and responsiveness of ICB. Tumor immune dysfunction and exclusion (TIDE) scores were calculated using 2031 external bladder cancer samples for further validation. We selected the important Hub genes as potential therapeutic targets, and validated the genes using genomic, transcriptomic, immunomic, and other multi-omics methods. In addition, we construct a risk prediction model which could stratify patients with bladder cancer and predict patient prognosis and ICB treatment responsiveness. In conclusion, this study identified effective biomarkers for the prediction of immune checkpoint inhibitor treatment responsiveness in bladder cancer patients and provided new immunotherapeutic targets.

Multi-Omics Profiling Identifies Risk Hypoxia-Related Signatures for Ovarian Cancer Prognosis.

Background: Ovarian cancer (OC) has the highest mortality rate among gynecologic malignancy. Hypoxia is a driver of the malignant progression in OC, which results in poor prognosis. We herein aimed to develop a validated model that was based on the hypoxia genes to systematically evaluate its prognosis in tumor immune microenvironment (TIM). Results: We identified 395 hypoxia-immune genes using weighted gene co-expression network analysis (WGCNA). We then established a nine hypoxia-related genes risk model using least absolute shrinkage and selection operator (LASSO) Cox regression, which efficiently distinguished high-risk patients from low-risk ones. We found that high-risk patients were significantly related to poor prognosis. The high-risk group showed unique immunosuppressive microenvironment, lower antigen presentation, and higher levels of inhibitory cytokines. There were also significant differences in somatic copy number alterations (SCNAs) and mutations between the high- and low-risk groups, indicating immune escape in the high-risk group. Tumor immune dysfunction and exclusion (TIDE) and SubMap algorithms showed that low-risk patients are significantly responsive to programmed cell death protein-1 (PD-1) inhibitors. Conclusions: In this study, we highlighted the clinical significance of hypoxia in OC and established a hypoxia-related model for predicting prognosis and providing potential immunotherapy strategies.

Analysis of Autophagy-Related Signatures Identified Two Distinct Subtypes for Evaluating the Tumor Immune Microenvironment and Predicting Prognosis in Ovarian Cancer.

Ovarian cancer (OC) is one of the most lethal gynecologic malignant tumors. The interaction between autophagy and the tumor immune microenvironment has clinical importance. Hence, it is necessary to explore reliable biomarkers associated with autophagy-related genes (ARGs) for risk stratification in OC. Here, we obtained ARGs from the MSigDB database and downloaded the expression profile of OC from TCGA database. The k-means unsupervised clustering method was used for clustering, and two subclasses of OC (cluster A and cluster B) were identified. SsGSEA method was used to quantify the levels of infiltration of 24 subtypes of immune cells. Metascape and GSEA were performed to reveal the differential gene enrichment in signaling pathways and cellular processes of the subtypes. We found that patients in cluster A were significantly associated with higher immune infiltration and immune-associated signaling pathways. Then, we established a risk model by LASSO Cox regression. ROC analysis and Kaplan-Meier analysis were applied for evaluating the efficiency of the risk signature, patients with low-risk got better outcomes than those with high-risk in overall survival. Finally, ULK2 and GABARAPL1 expression was further validated in clinical samples. In conclusion, Our study constructed an autophagy-related prognostic indicator, and identified two promising targets in OC.