The patent describes novel useful compounds, such as PI3K protein kinase inhibitors, in particular as PI3K delta (δ) and/or gamma (γ) protein kinase modulators. The present disclosure also provides methods for preparing PI3K protein kinase inhibitors, pharmaceutical compositions containing them, and methods of treatment, prevention, and amelioration of PI3K kinase-mediated diseases, and disorders.
Background: Ferroptosis is a new type of programmed apoptosis and plays an important role in tumour inhibition and immunotherapy.
Objective: In this study, we aimed to explore the potential role of ferroptosis-related genes (FRGs) and the potential therapeutic targets in oral cavity squamous cell carcinoma (OCSCC).
Methods: The transcription data of OCSCC samples were obtained from the Cancer Genome Atlas (TCGA) database as a training dataset. The prognostic FRGs were extracted by univariate Cox regression analysis. Then, we constructed a prognostic model using the least absolute shrinkage and selection operator (LASSO) and Cox analysis to determine the independent prognosis FRGs. Based on this model, risk scores were calculated for the OCSCC samples. The model's capability was further evaluated by the receiver operating characteristic curve (ROC). Then, we used the GSE41613 dataset as an external validation cohort to confirm the model's predictive capability. Next, the immune infiltration and somatic mutation analysis were applied. Lastly, single-cell transcriptomic analysis was used to identify the key cells.
Results: A total of 12 prognostic FRGs were identified. Eventually, 6 FRGs were screened as independent predictors and a prognostic model was constructed in the training dataset, which significantly stratified OCSCC samples into high-risk and low-risk groups based on overall survival. The external validation of the model using the GSE41613 dataset demonstrated a satisfactory predictive capability for the prognosis of OCSCC. Further analysis revealed that patients in the highrisk group had distinct immune infiltration and somatic mutation patterns from low-risk patients. Mast cell infiltrations were identified as prognostic immune cells and played a role in OCSCC partly through ferroptosis.
Conclusion: We successfully constructed a novel 6 FRGs model and identified a prognostic immune cell, which can serve to predict clinical prognoses for OCSCC. Ferroptosis may be a new direction for immunotherapy of OCSCC.
Background: Hepatoma is a high morbidity and mortality cancer, and coagulation is a potential oncogenic mechanism for hepatoma development.
Objective: In this study, we aimed to reveal the role of coagulation in hepatoma.
Methods: We applied the LASSO to construct a coagulation-related risk score (CRS) and a clinical nomogram with independent validation. The heterogeneity of various aspects, including functional enrichment, SNV, CN, immunocyte infiltration, immune pathways, immune checkpoint, and genomic instability indexes, was evaluated. Besides, the prognostic value of the CRS genes was tested. We selected the critical risky gene related to coagulation from the LASSO coefficients, for which we applied transwell and clone formation assays to confirm its roles in hepatoma cell migration and clone formation ability, respectively.
Results: The CRS and the nomogram predicted patients' survival with good accuracy in both two datasets. The high-CRS group was associated with higher cell cycle, DNA repair, TP53 mutation rates, amplification, and lower deletion rates at chromosome 1. For immunocyte infiltration, we noticed increased Treg infiltration and globally upregulated immune checkpoints and genomic instability indexes. Additionally, every single CRS gene affected the patient's survival. Finally, we observed that RABIF was the riskiest gene in the CRS. Its knockdown suppressed hepatoma cell migration and clone formation capability, which could be rescued by RABIF overexpression.
Conclusion: We built a robust CRS with great potential as a prognosis and immunotherapeutic indicator. Importantly, we identified RABIF as an oncogene, promoting hepatoma cell migration and clone formation, revealing underlying pathological mechanisms, and providing novel therapeutic targets for hepatoma treatment.
Cancer is one of the leading causes of mortality and morbidity worldwide, affecting millions of people physically and financially every year. Over time, many anticancer treatments have been proposed and studied, including synthetic compound consumption, surgical procedures, or grueling chemotherapy. Although these treatments have improved the daily life quality of patients and increased their survival rate and life expectancy, they have also shown significant drawbacks, including staggering costs, multiple side effects, and difficulty in compliance and adherence to treatment. Therefore, natural compounds have been considered a possible key to overcoming these problems in recent years, and thorough research has been done to assess their effectiveness. In these studies, scientists have discovered a meaningful interaction between several natural materials and signal transducer and activator of transcription 3 molecules. STAT3 is a transcriptional protein that is vital for cell growth and survival. Mechanistic studies have established that activated STAT3 can increase cancer cell proliferation and invasion while reducing anticancer immunity. Thus, inhibiting STAT3 signaling by natural compounds has become one of the favorite research topics and an attractive target for developing novel cancer treatments. In the present article, we intend to comprehensively review the latest knowledge about the effects of various organic compounds on inhibiting the STAT3 signaling pathway to cure different cancer diseases.
Background: Bladder urothelial carcinoma (BUC) ranks second in the incidence of urogenital system tumors, and the treatment of BUC needs to be improved. Puerarin, a traditional Chinese medicine (TCM), has been shown to have various effects such as anti-cancer effects, the promotion of angiogenesis, and anti-inflammation. This study investigates the effects of puerarin on BUC and its molecular mechanisms.
Methods: Through GeneChip experiments, we obtained differentially expressed genes (DEGs) and analyzed these DEGs using the Ingenuity® Pathway Analysis (IPA®), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) pathway enrichment analyses. The Cell Counting Kit 8 (CCK8) assay was used to verify the inhibitory effect of puerarin on the proliferation of BUC T24 cells. String combined with Cytoscape® was used to create the Protein-Protein Interaction (PPI) network, and the MCC algorithm in cytoHubba plugin was used to screen key genes. Gene Set Enrichment Analysis (GSEA®) was used to verify the correlation between key genes and cell proliferation.
Results: A total of 1617 DEGs were obtained by GeneChip. Based on the DEGs, the IPA® and pathway enrichment analysis showed they were mainly enriched in cancer cell proliferation and migration. CCK8 experiments proved that puerarin inhibited the proliferation of BUC T24 cells, and its IC50 at 48 hours was 218μmol/L. Through PPI and related algorithms, 7 key genes were obtained: ITGA1, LAMA3, LAMB3, LAMA4, PAK2, DMD, and UTRN. GSEA showed that these key genes were highly correlated with BUC cell proliferation. Survival curves showed that ITGA1 upregulation was associated with poor prognosis of BUC patients.
Conclusion: Our findings support the potential antitumor activity of puerarin in BUC. To the best of our knowledge, bioinformatics investigation suggests that puerarin demonstrates anticancer mechanisms via the upregulation of ITGA1, LAMA3 and 4, LAMB3, PAK2, DMD, and UTRN, all of which are involved in the proliferation and migration of bladder urothelial cancer cells.
Background: As a pentacyclic triterpenoid, OA (oleanolic acid) has exhibited antiinflammatory, immunomodulatory and antitumor effects. VEGFR-2 (vascular endothelial cells receptor-2) tyrosine kinase activity could be inhibited by apatinib, a small-molecule antiangiogenic agent.
Objective: Thus, this study sought to investigate the mechanism underlying the synergistic antitumor activity of combined OA and apatinib patent.
Methods: Through CCK8 (Cell counting kit 8 assay), flow cytometric and western blotting techniques, we conducted in vitro studies on apatinib and OA effects on cell proliferation and apoptosis in H22 cell line. H22 tumor-burdened mice model was established in vivo, while the related signaling pathways were studied via pathological examination, western blotting and qPCR (quantitative polymerase chain reaction).
Results: Growth of H22 cells in vitro and in vivo could be inhibited effectively by apatinib and OA. Thus, OA repaired liver function and inhibited oxidative stress induced by apatinib.
Conclusion: OA can treat apatinib induced liver injury in H22 Tumor-burdened mice by enhancing the suppresssive effect of apatinib on the growth of tumor.
Background: Glioma is characterized by a high recurrence rate, while the results of the traditional imaging methods (including magnetic resonance imaging, MRI) to distinguish recurrence from treatment-related changes (TRCs) are poor. Prostate-specific membrane antigen (PSMA) (US10815200B2, Deutsches Krebsforschungszentrum, German Cancer Research Center) is a type II transmembrane glycoprotein overexpressed in glioma vascular endothelium, and it is a promising target for imaging and therapy.
Objective: The study aimed to assess the performance of PSMA positron emission tomography/ magnetic resonance (PET/MR) for diagnosing recurrence and predicting prognosis in glioma patients.
Materials and methods: Patients suspected of glioma recurrence who underwent 18F-PSMA-1007 PET/MR were prospectively enrolled. Eight metabolic parameters and fifteen texture features of the lesion were extracted from PSMA PET/MR. The ability of PSMA PET/MR to diagnose glioma recurrence was investigated and compared with conventional MRI. The diagnostic agreement was assessed using Cohen κ scores and the predictive parameters of PSMA PET/MR were obtained. Kaplan-Meier method and Cox proportional hazard model were used to analyze recurrence- free survival (RFS) and overall survival (OS). Finally, the expression of PSMA was analyzed by immunohistochemistry (IHC).
Results: Nineteen patients with a mean age of 48.11±15.72 were assessed. The maximum tumorto- parotid ratio (TPRmax) and texture features extracted from PET and T1-weighted contrast enhancement (T1-CE) MR showed differences between recurrence and TRCs (all p <0.05). PSMA PET/MR and conventional MRI exhibited comparable power in diagnosing recurrence with specificity and PPV of 100%. The interobserver concordance was fair between the two modalities (κ = 0.542, p = 0.072). The optimal cutoffs of metabolic parameters, including standardized uptake value (SUV, SUVmax, SUVmean, and SUVpeak) and TPRmax for predicting recurrence were 3.35, 1.73, 1.99, and 0.17 respectively, with the area under the curve (AUC) ranging from 0.767 to 0.817 (all p <0.05). In grade 4 glioblastoma (GBM) patients, SUVmax, SUVmean, SUVpeak, TBRmax, TBRmean, and TPRmax showed improved performance of AUC (0.833-0.867, p <0.05). Patients with SUVmax, SUVmean, or SUVpeak more than the cutoff value had significantly shorter RFS (all p <0.05). In addition, patients with SUVmean, SUVpeak, or TPRmax more than the cutoff value had significantly shorter OS (all p <0.05). PSMA expression of glioma vascular endothelium was observed in ten (10/11, 90.9%) patients with moderate-to-high levels in all GBM cases (n = 6/6, 100%).
Conclusion: This primitive study shows
Background: Gastric cancer (GC) is a common gastrointestinal tumor with high morbidity and mortality. Fatty acid metabolism (FAM) contributes to GC development. Patents have been issued for the use of compositions comprising fatty acid analogues for the treatment of many clinical conditions. However, its clinical significance and its relationship with tumor-related mutations have not been thoroughly discovered. This study was conducted to analyze and explore FAM-related genes' molecular characteristics, prognostic significance, and association with tumor- related mutations.
Methods: The gastric adenocarcinoma's transcriptome, clinical data, and tumor mutation load (TMB) data were downloaded from TCGA and GEO databases. The differentially expressed FAM genes (FAM DEGs) between cancer and control samples were screened, and their correlation with TMB and survival was analyzed. A PPI network of FAM DEGs was constructed, and a downscaling clustering analysis was performed based on the expression of the FAM DEGs. Further immuno- infiltration and GO/KEGG enrichment analyses of the identified FAM clusters were performed to explore their heterogeneity in biological functions. The effects of FAM score and gastric cancer (STAD) on TMB, MSI, survival prognosis, and drug sensitivity were jointly analyzed, and finally, a single-gene analysis of the obtained core targets was performed.
Results: Through differential analysis, 68 FAM DEGs were obtained, and they were highly associated with STAD tumor mutation load. In addition, a high FAM DEGs CNV rate was observed. The PPI network showed a complex mutual correlation between the FAM DEGs. Consensus clustering classified the patients into three clusters based on the FAM DEGs, and the clusters presented different survival rates. The GSVA and immune infiltration analysis revealed that metabolism, apoptosis, and immune infiltration-related pathways were variated. In addition, FAM genes, STAD prognostic risk genes, and PCA scores were closely associated with the survival status of STAD patients. FAM score was closely correlated with STAD TMB, MSI, and immunotherapy, and the TMB values in the low FAM score group were significantly higher than those in the high FAM score group. Finally, combining the above results, it was found that the core gene PTGS1 performed best in predicting STAD survival prognosis and TMB/MSI/immunotherapy.
Conclusion: Fatty acid metabolism genes affect the development of gastric adenocarcinoma and can predict the survival prognosis, tumor mutational load characteristics, and drug therapy sensitivity of STAD patients, which can help explore more effective immunotherapy targets for GC.
Highly proliferating cells, such as cancer cells, are in high demand of pyrimidine nucleotides for their proliferation, accomplished by de novo pyrimidine biosynthesis. The human dihydroorotate dehydrogenase (hDHODH) enzyme plays a vital role in the rate-limiting step of de novo pyrimidine biosynthesis. As a recognised therapeutic target, hDHODH plays a significant role in cancer and other illness. In the past two decades, small molecules as inhibitors hDHODH enzyme have drawn much attention as anticancer agents, and their role in rheumatoid arthritis (RA), and multiple sclerosis (MS). In this patent review, we have compiled patented hDHODH inhibitors published between 1999 and 2022 and discussed the development of hDHODH inhibitors as anticancer agents. Therapeutic potential of small molecules as hDHODH inhibitors for the treatment of various diseases, such as cancer, is very well recognised. Human DHODH inhibitors can rapidly cause intracellular uridine monophosphate (UMP) depletion to produce starvation of pyrimidine bases. Normal cells can better endure a brief period of starvation without the side effects of conventional cytotoxic medication and resume synthesis of nucleic acid and other cellular functions after inhibition of de novo pathway using an alternative salvage pathway. Highly proliferative cells such as cancer cells do not endure starvation because they are in high demand of nucleotides for cell differentiation, which is fulfilled by de novo pyrimidine biosynthesis. In addition, hDHODH inhibitors produce their desired activity at lower doses rather than a cytotoxic dose of other anticancer agents. Thus, inhibition of de novo pyrimidine biosynthesis will create new prospects for the development of novel targeted anticancer agents, which ongoing preclinical and clinical experiments define. Our work brings together a comprehensive patent review of the role of hDHODH in cancer, as well as various patents related to the hDHODH inhibitors and their anticancer and other therapeutic potential. This compiled work on patented DHODH inhibitors will guide researchers in pursuing the most promising drug discovery strategies against the hDHODH enzyme as anticancer agents.
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