In recent years, gastrointestinal stromal tumors (GIST) have increased incidence and mortality, and most GIST is caused by the activation mutation of the c-KIT gene. Therefore, c-KIT has become a promising therapeutic target of GIST. At present, the drugs approved for the treatment of GIST including imatinib, sunitinib, regorafenib and ripretinib, are mostly prone to developing resistance and accompanied by various degrees of adverse reactions. Therefore, there is an urgent need to develop new c-KIT inhibitors to solve the problem of resistance. In this study, we investigated the anti-tumor effect of a novel c-KIT inhibitor PN17-1 on gastrointestinal stromal tumor GIST-882 cells in vitro. We found that PN17-1 significantly inhibited the proliferation, colony formation and migration ability of GIST-882 cells, and significantly downregulated the protein expression levels of p-c-KIT and its downstream signals p-AKT, p-STAT5 and p-ERK in GIST-882 cells. In addition, PN17-1 induced apoptosis in GIST-882 cells, and the apoptosis may be mainly related to the mitochondrial-dependent endogenous pathway. In conclusion, the novel c-KIT inhibitor PN17-1 is a promising anti-GIST drug, and this study provides new ideas for further development of c-KIT inhibitors in the future.

OBJECTIVES: To study the clinical and genetic characteristics of osteopetrosis (OPT) in children. METHODS: A retrospective analysis was performed on the clinical data of 14 children with OPT. Whole-exome sequencing was used to detect pathogenic genes, and clinical phenotypes and genotypic features were summarized. RESULTS: Among the 14 children (10 males and 4 females), the median age at diagnosis was 8 months. Clinical manifestations included systemic osteosclerosis (14 cases, 100%), anemia (12 cases, 86%), infections (10 cases, 71%), thrombocytopenia (9 cases, 64%), hepatosplenomegaly (8 cases, 57%), and developmental delay (5 cases, 36%). Malignant osteopetrosis (MOP) cases had lower platelet counts, creatine kinase isoenzyme, and serum calcium levels, but higher white blood cell counts, lactate dehydrogenase, and alkaline phosphatase levels compared to non-MOP cases (P<0.05). Genetic testing identified 15 variants in 12 patients, including 8 variants in the CLCN7 gene (53%), 6 in the TCIRG1 gene (40%), and 1 in the TNFRSF11A gene (7%). Three novel CLCN7 variants were identified: c.2351G>C, c.1215-43C>T, and c.1534G>A. All four patients with TCIRG1 variants exhibited MOP clinical phenotypes. Of the seven patients with CLCN7 variants, 4 presented with intermediate OPT, 2 with benign OPT, and 1 with MOP. CONCLUSIONS Clinical phenotypes of OPT in children are heterogeneous, predominantly involving CLCN7 and TCIRG1 gene variants, with a correlation between clinical phenotypes and genotypes.
Humans ; Osteopetrosis/genetics* ; Male ; Female ; Infant ; Child, Preschool ; Retrospective Studies ; Vacuolar Proton-Translocating ATPases/genetics* ; Child ; Chloride Channels/genetics* ; Mutation ; Receptor Activator of Nuclear Factor-kappa B

OBJECTIVE: To analyze two families with inherited dysfibrinogenemia, and explore the molecular pathogenic mechanisms. METHODS: The coagulation indexes of the probands and their family members were detected. The FGA, FGB, and FGG exons and their flanking sequences were amplified by PCR, and the mutation sites were identified by sequencing. SIFT, PolyPhen2, LRT, ReVe, MutationTaster, phyloP, and phastCons bioinformatics software were used to predict the functional impact of the mutation sites. Protein structure and amino acid conservation analysis of the variant were conducted using PyMOL and Clustal X software. RESULTS: The thrombin time (TT) of the proband in family 1 was prolonged to 37.00 s, and Fg∶C decreased to 0.52 g/L. The TT of the proband in family 2 was 20.30 s, and Fg∶C was 1.00 g/L, which was lower than the normal range. Genetic analysis revealed that the proband in family 1 had a heterozygous mutation c.80T>C in FGA, resulting in the substitution of phenylalanine 27 with serine (Phe27Ser). The proband in family 2 had a heterozygous mutation c.1007T>A in FGG, resulting in the substitution of methionine 336 with lysine (Met336Lys). Bioinformatics software prediction analysis indicated that both mutations were deleterious variants. PyMOL mutation models revealed that the Aα chain mutation (Phe27Ser) in family 1 and γ chain mutation (Met336Lys) in family 2 resulted in alterations in spatial structure and reduced protein stability. Clustal X results showed that both Aα Phe27 and γMet336 were highly conserved across homologous species. CONCLUSION Heterozygous mutations of FGA gene c.80T>C and FGG gene c.1007T>A are both pathogenic variants, causing inherited dysfibrinogenemia.
Female ; Humans ; Male ; Afibrinogenemia/genetics* ; Fibrinogen/genetics* ; Heterozygote ; Mutation ; Pedigree

OBJECTIVE: To screen anti-tumor drugs that improve antigen processing and presentation in acute myeloid leukemia (AML) cells. METHODS: A TCR-like or TCR mimic antibody that can specifically recognize HLA-A*0201:WT1_126-134 ( RMFPNAPYL) complex (hereafter referred to as HLA-A2:WT1) was synthesized to evaluate the function of antigen processing and presentation machinery (APM) in AML cells. AML cell line THP1 was incubated with increasing concentrations of IFN-γ, hypomethylating agents (HMA), immunomodulatory drugs (IMiD), proteasome inhibitors (PI) and γ-secretase inhibitors (GSI), followed by measuring of HLA-ABC, HLA-A2 and HLA-A2:WT1 levels by flow cytometry at consecutive time points. RESULTS: The TCR-like antibody we generated only binds to HLA-A*0201⁺WT1⁺ cells, indicating the specificity of the antibody. HLA-A2:WT1 level of THP-1 cells detected with the TCR-like antibody was increased significantly after co-incubation with IFN-γ, showing that the HLA-A2:WT1 TCR like antibody could evaluate the function of APM. Among the anti-tumor agents screened in this study, GSI (LY-411575) and HMA (decitabine and azacitidine) could significantly increase the HLA-A2:WT1 level. The IMiD lenalidomide and pomalidomide could aslo upregulate the expression of HLA-A2:WT1 complex under certain concentrations of the drugs and incubation time. As proteasome inhibitors, carfilzomib could significantly decreased the expression of HLA-A2:WT1, while bortezomib had no significant effect on HLA-A2:WT1 expression. CONCLUSION HLA-A2:WT1 TCR-like antibody can effectively reflect the APM function. Some of the anti-tumor drugs can affect the APM function and immunogenicity of tumor cells.
Humans ; Leukemia, Myeloid, Acute/immunology* ; Antineoplastic Agents/pharmacology* ; Antigen Presentation/drug effects* ; HLA-A2 Antigen/immunology* ; Receptors, Antigen, T-Cell/immunology* ; Cell Line, Tumor ; Interferon-gamma

Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C₀), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug‍-‍drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage* ; Drug Monitoring/methods* ; Humans ; Organ Transplantation ; Immunosuppressive Agents/administration & dosage* ; Delphi Technique

The occurrence and development of the pattern stem from the intricate interactions among specific biological molecular networks.Thus,broadening the perspective beyond a single molecular factor and investigating the intricate interconnections among molecular network targets across various levels within complex biological systems is essential when exploring the relationship between prescriptions and their corresponding patterns.This article integrates traditional Chinese image-number thinking with modern quantitative analysis,using qualitative"network image thinking"to innovatively apply numerical method in modular pharmacological analysis.This approach explores the connections between macro-level manifestations of complex biological systems and micro-level molecular network features,aiming to elucidate the correlations between prescriptions and patterns across different levels.An original method system of"network image-number thinking"in traditional Chinese medicine was established to systematically reveal the laws and mechanisms underlying the interaction between prescriptions and the human body.The"network image-number thinking"proposed in this paper has multiple core characteristics:it reflects the dialectical unity of"mutual reliance between image and number"and shows the multi-dimensional hierarchy,sequentiality,self-organization,and the emergence of the network system.This paper also elucidates the fundamental features of functional dynamism—which is characterized by the"ease of constant evolution"—and self-regulation,marked by"harmony and symbiosis"within complex network systems.Furthermore,we promote the practicality and superiority of using"network image-number thinking"to guide the module pharmacology when studying the relationship between prescriptions and their corresponding patterns.This thinking method framework provides a novel perspective for developing module pharmacology,effectively highlighting the leading role of original thinking in modern research on traditional Chinese medicine and moving towards a new unified medical system.

Pancreatic cancer is among the most malignant cancers,and thus early intervention is the key to better survival outcomes.However,no methods have been derived that can reliably identify early precursors of development into malignancy.Therefore,it is urgent to discover early molecular changes during pancreatic tumorigenesis.As aberrant glycosylation is closely associated with cancer progression,numerous efforts have been made to mine glycosylation changes as biomarkers for diagnosis;however,detailed glycoproteomic information,especially site-specific N-glycosylation changes in pancreatic cancer with and without drug treatment,needs to be further explored.Herein,we used comprehensive solid-phase chemoenzymatic glycoproteomics to analyze glycans,glycosites,and intact glycopeptides in pancreatic cancer cells and patient sera.The profiling of N-glycans in cancer cells revealed an increase in the secreted glycoproteins from the primary tumor of MIA PaCa-2 cells,whereas human sera,which contain many secreted glycoproteins,had significant changes of glycans at their specific glycosites.These results indicated the potential role for tumor-specific glycosylation as disease biomarkers.We also found that AMG-510,a small molecule inhibitor against Kirsten rat sarcoma viral oncogene homolog(KRAS)G12C mutation,profoundly reduced the glycosylation level in MIA PaCa-2 cells,suggesting that KRAS plays a role in the cellular glycosylation process,and thus glycosylation inhibition contributes to the anti-tumor effect of AMG-510.

Objective To observe the effects of Zhengan Xifeng decoction on bile acid spectrum of bile and sterol 12α hydroxylase(CYP8B1)in spontaneously hypertensive rats(SHR).Methods Fifty SHR were randomly divided into model group,control group(1.0 mg·kg-1·d-1 benazepril by gavage)and experimental-L,-M,-H groups(8.63,17.25 and 34.50 g·kg-1·d-1 Zhengan Xifeng decoction by gavage),another 10 homologous male Wistar-Kyoto(WKY)rats were taken as the normal group.The model group and the normal group were given the same amount of distilled water.The rats in the 6 groups were administered once a day for 8 weeks.The animal non-invasive sphygmomanometer was used to measure the blood pressure of rats in each group by tail-cuff method;the bile acid spectrum of rats in each group was detected by UPLC-MS/MS;the expression of CYP8B1 mRNA in rat liver tissue was detected by real-time fluorescence quantitative polymerase chain reaction.Results The systolic blood pressure at the 8th week of the experimental-M,-H groups,control group,model group,normal group were(169.63±12.10),(170.32±9.64),(175.95±15.47),(189.47±7.42)and(146.40±9.45)mmHg;the diastolic blood pressure at the 8th week were(135.10±11.99),(129.73±15.10),(135.18±17.62),(149.20±8.83)and(110.53±10.92)mmHg;the relative expression levels of CYP8B1 mRNA were 3.36±0.94,5.45±1.46,4.29±0.95,0.89±0.14 and 1.00±0.00,respectively.Compared with the model group,the above indexes in the experimental-M,-H groups were statistically significant(P＜0.01,P＜0.05).Compared with the model group,the bile acid spectrum of experimental-L,-M,-H groups bile changed significantly,and a total of 9 different bile acids were found,which were hyodeoxycholic acid,glycohyodeoxycholic acid,glycochenodeoxycholic acid,glycoursodeoxycholic acid,α-muricholic acid,ursodeoxycholic acid,cholic acid,β-muricholic acid and glycocholic acid.Conclusion Zhengan Xifeng decoction may correct bile acid spectrum disorder of bile and reduce blood pressure by up-regulating liver CYP8B1 expression.

Objective:To establish a linkage prediction model for human leukocyte antigen (HLA) DPA1-DPB1 and validate it by using clinical data and follow-up data from unrelated allogeneic hematopoietic stem cell transplantation donors and recipients, and to explore the clinical application value of the prediction model in transplantation prognosis.Methods:This is a retrospective study. Leveraging the artificial neural network algorithm of NetMHCⅡpan and the DPA1-DPB1 haplotype linkage database of the Chinese population established in our previous research, and incorporating the amino acid FASTA data of DPA1-DPB1 of all known sequences newly published by the Latest International Immunogenetics/Human Leukocyte Antigens, 47 DPA1-DPB1 linkage models were established. Employing next-generation sequencing technology based on the hybridization capture library construction method, HLA genotyping tests for HLA-A, -B, -C, DRB1, DQB1, DQA1, DRB3/4/5, DPB1, and DPA1 (9 loci) were performed on 250 donor-recipients pairs who underwent unrelated-donor hematopoietic stem cell transplantation in the Department of Hematology of the First Affiliated Hospital of Soochow University between January 2016 and September 2021. HLA typing data and clinical information of transplant donors and recipients were retrospectively analyzed to assess and predict the impact of permissive and non-permissive linkage mismatches of DPA1-DPB1 on transplantation prognosis. The Kaplan-Meier method with the log-rank test was applied to compare the survival curves of overall survival (OS) rates between different groups. Additionally, a competing risks model was utilized to compare the cumulative incidence of grade Ⅱ-Ⅳ acute graft-versus-host disease and non-relapse mortality (NRM) across groups. The area under the receiver operating characteristic curve was employed to compare the predictive performance of the established prediction model with that of the T-cell epitope (TCE) model.Results:According to the different hydrophilic and hydrophobic properties of amino acids, the DPA1-DPB1 linkage model is categorized into types Ⅰ-Ⅳ: type I consists of 6 hydrophobic types at P1-P8 plus hydrophilic type at P9; type Ⅱ includes 17 hydrophobic types; type Ⅲ comprises 9 amphiphilic types; and type Ⅳ consists of 15 hydrophilic types. According to the prediction model, DPA1-matched and DPB1-mismatched donor-recipient cases were classed into P1-matched or P1-mismatched groups. Compared with fully matched DPA1 and DPB1 cases, P1-mismatched patients had a 2-year OS rate of 75% (12/16) versus 96.2%(25/26) (χ2=4.13, P=0.04), and a NRM rate of 4/16 versus 0 (χ2=7.05, P<0.01). However, there was no statistically significant difference in the 2-year OS and NRM rates compared to DPA1 and DPB1 cases ( P>0.05). The prediction model established in this study demonstrated a larger area under the receiver operating characteristic curve for predicting the 2-year OS rate compared with the DPB1 TCE model ( Z=0.71, P=0.48). In donor-recipient cases where both DPA1 and DPB1 were mismatched, the 2-year OS rates decreased and the NRM increased in both P1-matched and P1-mismatched cases compared with fully matched DPA1 and DPB1. Moreover, P1-mismatched patients had a worse prognosis compared to P1-matched patients. Conclusion:The DPA1-DPB1 linkage prediction model established based on high-throughput next-generation sequencing technology can be used to predict the impact of HLA-DP mismatches on OS and NRM in transplantation, and the prediction performance is superior to the TCE model.

Aim To study the proliferation,invasion and migration ability of Quaking(QKI)in gastric cancer(GC)via elucidating the molecular mechanisms associated with QKI in the occurrence and development of GC through bioinformatics.Methods Differential expression analysis of QKI was performed across vari-ous human cancer samples by merging data from the TCGA and GTEx databases.The correlation was ana-lyzed between QKI protein expression and tumor muta-tion burden(TMB)score,microsatellite instability(MSI)score,and ESTIMATE score,and the correla-tion was also explored between QKI protein expression and overall survival(OS),disease free survival(DFS),and progression free survival(PFS).EMT related genes that could encode DECircRNAs were ob-tained through bioinformatics analysis to construct a QKI-EMT-circRNAs regulatory network.The differenti-ally expressed circRNAs and EMT related genes in TMK1 cells were verified.The proliferation,invasion and migration ability of the QKI was studied by using the knockdown system.Results QKI was differential-ly expressed in the vast majority of tumors and was closely related to TMB,MSI,and tumor microenviron-ment(TME);QKI emerged as a high-risk factor for predicting OS,DFS,and PFS in individuals with com-mon human cancers.QKI regulated the splicing of 6 EMT related gene transcripts to form eight circRNAs,all of which were significantly associated with the prog-nosis of gastric cancer patients.Cell experiments showed that compared to normal gastric epithelial cells,only hsa_ccirc_0004015,CALD1,and CDK14 were down-regulated in TMK1 cells.Knocking down QKI inhibited the proliferation,invasion and migration ability of TMK1 cells.Conclusion QKI exerts regu-latory control over the transcription of six EMT-related genes,resulting in the formation of circRNAs,thereby promoting the pathogenesis and progression of GC.QKI is highly expressed in TMK1 cells,and knock-down of QKI can inhibit the proliferation,invasion and migration ability of TMK1 cells.