Recent patents on anti-cancer drug discovery最新文献

Background: Ganoderma lucidum extracts are widely used as adjuvants in the treatment of triple-negative breast cancers (TNBC) in China. However, its clinical value in TNBC remains unclear. Therefore, we investigated the clinical effect of Ganoderma lucidum spore powder (GLSP) on prognosis in patients with early-stage TNBC in this study.

Methods: A total of 388 patients who were diagnosed with TNBC at the Sun Yat-sen University Cancer Center from February 2012 to December 2017 were retrospectively reviewed. The propensity score matching (PSM) method was applied to balance baseline data. Kaplan-Meier method and Cox proportional hazards model were used to evaluate the relationship between GLSP and prognosis.

Results: Of the 388 patients, 72 (18.6%) patients took GLSP. After PSM, 208 patients were selected for analysis, including 71 (34.1%) patients who took the powder. The median followup period was 51 months. The patients who took GLSP (the treatment group) and those who did not take GLSP (the control group) were similar in most clinico-pathological features before being matched. However, the proportion of patients who received breast-conserving surgery in the treatment group was higher (27.8% vs. 16.1%; p =0.021) than in the control group. No significant difference was found in the baseline data between the two groups for the matched cohort (all p >0.05). Univariate analysis and multivariate analysis showed that patients taking GLSP benefited from improved overall survival (OS) (HR=0.159, p = 0.002) and disease-free survival (DFS) (HR=0.232, p = 0.005) before being matched. The main result of the survival analysis after matching was similar to that described above. Patients in the treatment group achieved both greater OS and DFS benefits than patients in the control group (all p < 0.05). In stratified analysis according to TNM stages, after adjusting for the significant prognostic factors, multivariate analysis revealed that the treatment group had better OS than the control group for patients in stages II and III (HR=0.172, p =0.004).

Conclusions: The results of this real-world propensity-score-matched study suggest that GLSP can improve OS and DFS in early-stage TNBC patients. A higher OS was observed for patients taking GLSP, particularly in stage II and stage III.

Background: Colorectal cancer is a common malignant tumor, with about one million people diagnosed with it worldwide each year. Recent studies have found that metformin can inhibit the production of inflammatory factors and regulate the polarization of immune cells. However, whether metformin can regulate the inflammatory microenvironment and delay the progression of colorectal cancer by inhibiting the inflammatory response has not been deeply studied yet.

Objective: This study aimed to explore the molecular mechanism by which metformin inhibits the expression of NLRP3 inflammasome, regulates the inflammatory microenvironment, and delays the progression of colorectal cancer through in vitro cell experiments.

Methods: In this research, NLRP3 was knocked down in human colorectal cancer cells, and metformin was added to them. Cell proliferation ability was detected by CCK8, and cell migration and invasion abilities were assessed by Transwell assay. The apoptosis rate was determined by flow cytometry. In addition, the expression of NLRP3 inflammatory vesicles and inflammatory factors in each group of cells was studied by qRT-PCR and Western blotting. Finally, clinical colorectal cancer samples were analyzed by immunohistochemistry.

Results: The results of the study showed that NLRP3 expression was significantly increased in colorectal cancer cell lines and human colorectal cancer tissues. Knockdown of NLRP3 significantly inhibited tumor cell proliferation, migration, and invasion. In addition, the proliferation, migration and invasion of tumor cells were also significantly reduced by the addition of metformin intervention. Furthermore, qRT-PCR and WB results demonstrated that the expression of IL-1β, IL-6, TNF- α, TGF-β, and IL-10 was down-regulated in LS1034 tumor cells after NLRP3 knockdown. In addition, metformin intervention also resulted in different degrees of downregulation of NLRP3 and inflammatory factor expression (p <0.05). Notably, the reduction in inflammatory factors was more pronounced after the combination of NLRP3 knockdown and metformin intervention.

Conclusion: Metformin can inhibit the expression of NLRP3 inflammasome, thereby suppressing the expression of inflammation-related factors, reducing the damage of the inflammatory microenvironment to normal cells, and delaying the progression of colorectal cancer.

Background: Hepatocellular Carcinoma (HCC) is closely linked to inflammatory reactions, with chronic liver diseases acting as major risk factors. In the inflammatory microenvironment, repeated damage and repair of liver cells lead to genetic mutations, abnormal proliferation, and tumorigenesis.

Objective: This study aimed to investigate the expression profile of specific cell clusters under inflammatory stimulation in HCC and identify potential therapeutic drugs.

Methods: Comprehensive analysis of HCC transcriptome data and single-cell sequencing data from TCGA, ICGC, and GEO databases was conducted to explore the specific molecular mechanisms of epithelial cells. Virtual screening of natural compounds in the ZINC database and in vitro cell experiments were performed to identify drugs that regulate the expression of inflammatory factors in epithelial cells.

Results: Analysis of the single-cell dataset revealed cell clusters closely associated with HCC, notably Epithelial cells, Hepatocytes, MSC, and iPS cells, with Epithelial cells playing a pivotal role in HCC development. Further investigation of TCGA data unveiled 83 differentially expressed genes (DEGs) related to inflammatory responses in HCC. Intersection analysis of DEGs in epithelial cells and HCC DEGs identified 12 common DEGs, including ADRM1, ATP2B1, FZD5, GPC3, KIF1B, KLF6, LY6E, MET, NAMPT, SERPINE1, SPHK1, and SRI. Prognostic analysis revealed that CCL7, GPR132, ITGB8, PTAFR, SELL, and VIP were influential in the survival prognosis of HCC. A prognostic model based on the expression levels of these genes demonstrated an increased risk of HCC associated with higher differential expression of inflammatory response genes. Additionally, molecular dynamics simulations indicated that compounds NADH and Deferoxamine formed stable docking models with the inflammatory protein VIP, suggesting their potential as candidates for targeted therapy.

Conclusion: Inflammatory factors CCL7, GPR132, ITGB8, PTAFR, SELL, and VIP influence the inflammatory cascade response in HCC epithelial cells, and their expression correlates with the survival prognosis of HCC patients. Interfering with VIP expression effectively suppresses proliferation, migration, and invasion of HCC cells, as well as inhibiting the occurrence of inflammatory cascade reactions, thus slowing down the progression of hepatocellular carcinoma. Furthermore, compounds NADH and Deferoxamine have the potential to target and bind to the inflammatory protein VIP, highlighting their relevance in potential HCC treatment.

Background: Hepatocellular Carcinoma (HCC) is a public health problem around the world. Several studies have investigated the association between statin use and the risk of HCC, however, more studies are needed in this field.

Objectives: This systematic review and meta-analysis aimed to investigate the relationship between statin use and HCC risk.

Methods: Systematic searches of Web of Science, Scopus, PubMed, Cochrane, Science Direct, and Embase were conducted for studies published between 1980 and September 2023. Metaanalyses were performed using Stata 15 with a significance level of 0.05.

Results: The search retrieved 8,125 articles, of which 40 were included in the meta-analysis after applying eligibility criteria. The total sample was 5,732,948 participants, including 68,698 HCC cases. Statin use was associated with a 44% lower risk of HCC compared to non-use (RR 0.56, 95% CI 0.50-0.63, p < 0.001). The RR was 0.54 (0.42-0.69) in American countries, 0.52 (0.44-0.62) in Asian countries, and 0.63 (0.48-0.84) in European countries. The RR was 0.50 (0.42-0.60) in studies with a mean age <50 years and 0.61 (0.53-0.70) in studies with a mean age ≥50 years. No evidence of publication bias was found (Begg's test p = 0.718).

Conclusion: This meta-analysis found statin use is associated with a significantly lower HCC risk. Statins may be a promising preventive intervention against HCC.

Background: The tumor burden before chimeric antigen receptor T (CAR-T) cell therapy was one of the critical factors affecting the prognosis of lymphoma. It was a challenge to effectively reduce the tumor burden of relapsed/refractory large B-cell lymphoma with p53 mutation.

Objective: Here, we have presented a case of relapsed/refractory large B-cell lymphoma with p53 mutation being controlled by the treatment with daratumumab and venetoclax, followed by CAR-T cell therapy.

Case presentation: The patient was a 56-year-old female who was diagnosed with relapsed/ refractory diffuse large B cell lymphoma (DLBCL) transformed from follicular lymphoma. The patient was treated with daratumumab, venetoclax, and GEMOX (gemcitabine and oxaliplatin) under the guidance of high-throughput drug sensitivity analysis. We used a CD38 positive lymphoma cell line with p53 mutation to construct tumor models for validating the anti- lymphoma effect of the combination therapy of daratumumab and venetoclax.

Results: The patient achieved a complete metabolic response after treatment with daratumumab, venetoclax, and GEMOX. Then, she further achieved a complete molecular response after she subsequently received CAR-T cell therapy, and she has been living without a lymphoma recurrence. The results from the animal study showed that the combination of daratumumab and venetoclax could significantly enhance the antitumor effect on CD38-positive lymphoma with p53 mutation.

Conclusion: The results from our successful case and animal experiments provide new avenues for the treatment of relapsed/refractory large B-cell lymphoma with p53 mutation. Further clinical trials are reuqired to treat CD38-positive lymphoma with the combination of daratumumab and venetoclax.

Background: Mass spectrometry imaging (MSI) is an imaging method based on mass spectrometry technology that can simultaneously visualize the spatial distribution of various biological molecules. The use of MSI in cancer detection and drug discovery has been extensively investigated in recent years.

Objective: This review aims to summarize the latest advances of MSI and its specific applications in cancer detection and drug discovery, providing a basic understanding of the development and application of MSI in the past five years and offering references for the further application of MSI in cancer detection and drug discovery.

Methods: In the database, "mass spectrometry imaging", "cancer treatment", and "drug discovery" were used as keywords for literature retrieval, and the time range was limited to "2018- 2023". After organizing and analyzing the literature and patents, a review was conducted.

Results: Based on the literature, it was found that the updated progress of MSI in the past five years mostly focused on concrete methods, operation procedures, facilities, and composite applications. The patents of MSI were mainly correlated with the mass spectrometry imaging system and its application in cancer treatment. MSI is conducive to investigating the therapeutic schedule of cancer and searching for new drugs.

Conclusion: MSI is a convenient, fast and powerful technology that has made great progress in sample preparation, instrumentation, quantitation, and multimodal imaging. MSI has emerged as a powerful technique in various biomedical applications, which has strong potential in cancer detection, treatment, formation mechanism research, discovery of biomarkers, and drug discovery process.

Breast cancer is a public health issue in developing and developed countries. Nowadays, the concept of BCSC (breast cancer stem cell) is gaining popularity among oncology researchers. The breast cancer stem cell is a tiny cell fraction inside the tumor mass that shows features that look like stem cells that are implicated in the genesis, recurrence, and metastasis of breast cancer tumors. Extracellular cues, mutations, and epigenetic control all contribute to the intricacy of gene expression control in Breast cancer stem cells. Thus, signaling pathways identified in breast cancer are Hedgehog and NOTCH, signal transducer and transcription 3, wingless-type MMTV integration site family (Wnt)/-catenin, and nuclear factor-kappa B, particularly connected with a phenotype of stem cell. Furthermore, the tumor microenvironment, such as hypoxic regions, can impact these BCSCs. Various approved signaling pathway targeted molecules have been patented, which show protective effects against breast cancer and have been used in clinical uses. PARP inhibitors are found to be very useful in the treatment of breast cancer. Promoting studies on the molecular pathways underlying the development of cancer in breast cancer patients was one of the main objectives of this study topic. The objective of this review Topic was to discover new intrinsic and extrinsic molecular pathways. Research focusing on novel signaling pathways that may lead to novel treatments or identifying patients at-risk of not responding to standard therapy approaches were the areas of focus we highlighted. The paper covers the linkage between breast cancer stem cells and cellular signaling, the tumor microenvironment in BC, and the relevance of signaling pathways and their therapeutic interventions. The review also covered patent applications associated with these signaling pathways and their prospects.

Background: Oxidative stress refers to non-homeostatic elevation within intracellular reactive oxygen species (ROS) levels and is associated with several neuro-related pathological conditions. Diclofenac is a commonly prescribed non-steroidal anti-inflammatory drug (NSAID) for treating aches and pain by reducing inflammation. Diclofenac is also associated with the induction of apoptotic cell death by altering the homeostatic balance within mitochondria. In the present report, the neuroprotective effects of BNC formulation constituted by Bacopa monnieri leaves, Nigella sativa and Curcuma longa rhizome seeds were investigated.

Methods: The synthesized formulation was characterized using FT-IR and LC-MS along with organoleptic evaluation. Thereafter neuroprotective efficacy of BNC formulation was subsequently investigated against Diclofenac-induced oxidative stress in SH-SY5Y cells. The cells were pretreated with synthesized formulation and subsequently evaluated for amelioration in Diclofenac-induced cytotoxicity, and ROS augmentation. The neuroprotective effect of synthesized formulation was further explored by evaluating the changes in nuclear morphology, and apoptosis alleviation with concomitant regulatory effects on caspase-3 and -9 activation.

Results: Diclofenac was found to be considerably cytotoxic against human neuroblastoma SHSY5Y cells. Intriguingly, Diclofenac-mediated toxicity was reduced significantly in SH-SY5Y cells pretreated with BNC formulation. Augmented ROS levels within Diclofenac-treated SHSY5Y cells were also reduced in the BNC formulation pretreated SH-SY5Y cells. Furthermore, BNC formulation pretreated SH-SY5Y cells also exhibited reduced dissipation of mitochondrial membrane potential, caspase-3 and -9, along with apoptosis after Diclofenac treatment.

Conclusion: These findings indicated that, indeed, Diclofenac induces considerable ROSmediated apoptosis in SH-SY5Y cells, which further intriguingly ameliorated Diclofenacmediated cytotoxic effects on SH-SY5Y cells. This manuscript further collected information about available National and International patents published or granted in preparation of and thereof applications against motor and non-motor brain dysfunctions.

Background: Chronic constipation and irritable bowel syndrome (IBS) manifest as prevalent gastrointestinal disorders, while digestive tract cancers (DTCs) present formidable challenges to global well-being. However, extant observational studies proffer uncertain insights into potential causal relationships of constipation and IBS with susceptibility to DTCs.

Methods: We executed Mendelian randomization (MR) analysis to establish causal connections between these conditions and seven distinct categories of DTCs, including colorectal carcinoma (CRC), hepatocellular cancer (HCC), esophageal malignancy (ESCA), pancreatic adenocarcinoma (PAAD), biliary tract carcinoma (BTCs), gastric carcinoma (GC), and small intestine neoplasm (SIC). Leveraging instrumental variables (IVs) obtained from GWAS data of the FinnGen database, we employed a range of analytical methodologies, including inverse-variance weighting multiplicative random effects (IVW_MRE), inverse-variance weighting fixed effects (IVW_FE), maximum likelihood (ML), weighted median (WM), MR‒Egger regression, and the MR-PRESSO test.

Results: We observed a substantial linkage between genetically predicted constipation and increased vulnerability to PAAD (OR = 2.29, 95% CI: 1.422-3.69, P = 0.001) via the IVW method. Following the removal of outlier SNPs through MR-PRESSO, genetically predicted IBS was affiliated with an increased risk of CRC (OR = 1.17, 95% CI: 1-1.37, P = 0.05). Nonetheless, decisive causal correlations of constipation or IBS with other DTCs remain elusive.

Conclusion: In summary, genetically predicted constipation was associated with an augmented PAAD risk, and IBS was associated with an increased CRC susceptibility within European cohorts, in agreement with some observational studies. Nevertheless, the causal associations of constipation and IBS with other DTCs remain inconclusive.

Background: Accumulated evidence suggest that tumor microenvironment (TME) plays a crucial role in breast cancer (BRCA) progression and therapeutic effects.

Objective: This study aimed to characterize immune-related BRCA subtypes in TME, and identify genes with prognostic value.

Methods: RNA sequencing profiles with corresponding clinical data from The Cancer Genome Atlas (TCGA) database of BRCA patients were downloaded to evaluate immune infiltration using the single-sample gene set enrichment (ssGAEA) algorithm. Further, BRCA was clustered according to immune infiltration status by consensus clustering analysis. Using Venn analysis, differentially expressed genes (DEGs) were overlapped to obtain candidate genes. Kaplan-Meier (K-M) analysis was performed to identify prognostic genes, and the results were verified in the GEO and METABRIC datasets. RT-qPCR was conducted to detect the mRNA expression of prognostic genes.

Results: In the TCGA database, 3 immune-related BRCA subtypes were identified [cluster1 (C1), cluster2 (C2), and cluster3 (C2)]. The C2 subtype had better overall survival (OS) compared to the C1 subtype. Higher levels of immune markers and checkpoint protein were found in the C2 subtype than in others. By combining DEGs between BRCA and normal tissues, with the C1 and C2 subtypes associated with different OS, 25 BRCA candidate genes were identified. Among these, 8 genes were identified as prognostic genes for BRCA. RT-qPCR showed that the expressions of 2 genes were significantly elevated in BRCA tissues, while that of other genes were decreased.

Conclusion: Three BRCA subtypes were identified with the immune index, which may help design advanced treatment of BRCA. The data code used for the analysis in this article was available on GitHub (https://github.com/tangzhn/BRCA1.git).