Objective To explore the safety of Yttrium-90 resin microsphere selective internal radiation therapy (⁹⁰Y-SIRT) on malignant liver tumors. Methods A retrospective analysis was conducted on 64 patients with malignant liver tumors who underwent ⁹⁰Y-SIRT from February 2023 to November 2024 at Weifang People’s Hospital. The clinical characteristics of the patients and the occurrence of adverse reactions after treatment were analyzed to assess the safety of ⁹⁰Y-SIRT. Results Among the 64 patients, there were 52 males (81.25%) and 12 females (18.75%); the average age was (56.29±11.08) years. Seven patients (10.94%) had tumors with maximum diameter of less than 5 cm, 38 patients (59.38%) had tumors with maximum diameter of 5-10 cm, and 19 patients (29.68%) had tumors with maximum diameter of greater than 10 cm. There were 47 cases (73.44%) of solitary lesions and 17 cases (26.56%) of multiple lesions; 53 cases (82.81%) were primary liver cancers and 11 cases (17.19%) were metastatic liver cancers. Of the 64 patients, 63 successfully completed the Technetium-99m macroaggregated albumin (^99mTc-MAA) perfusion test and received the ⁹⁰Y-SIRT; one patient received ⁹⁰Y-SIRT after the second ^99mTc-MAA perfusion test due to a work error. The most common adverse reactions included grade 1 alanine aminotransferase (ALT) elevation in 26 cases (40.62%) and grade 2 in 2 cases (9.37%), grade 1 aspartate aminotransferase (AST) elevation in 27 cases (42.18%) and grade 2 in 7 cases (10.93%); grade 1 nausea in 17 cases (26.56%) and grade 2 in 6 cases (9.37%); grade 1 abdominal pain in 12 cases (18.75%), grade 2 in 5 cases (7.81%), and grade 3 in 1 case (1.56%); grade 1 vomiting in 11 cases (17.18%), grade 2 in 5 cases (7.81%), and grade 3 in 1 case (1.56%). Conclusion The adverse reactions of ⁹⁰Y-SIRT for treating malignant liver tumors are mild, indicating good safety.

This article presents the diagnosis and treatment processes, and morphological and genetic testing of Gongylonema pulchrum in a case with G. pulchrum found in the oral mucosa. In addition, this article reviews publications pertaining to G. pulchrum human infections by Chinese scientists during the recent 10 years and summarizes the demographic and clinical characteristics, location and number of parasites, diagnosis and treatment processes, and epidemiological surveys of cases infected with G. pulchrum, so as to provide insights into improving the diagnostic capability among clinicians.

BACKGROUND: The transcription factor POU2F1 regulates the expression levels of microRNAs in neoplasia. However, the miR-29b1/a cluster modulated by POU2F1 in gastric cancer (GC) remains unknown. METHODS: Gene expression in GC cells was evaluated using reverse-transcription polymerase chain reaction (PCR), western blotting, immunohistochemistry, and RNA in situ hybridization. Co-immunoprecipitation was performed to evaluate protein interactions. Transwell migration and invasion assays were performed to investigate the biological behavior of GC cells. MiR-29b1/a cluster promoter analysis and luciferase activity assay for the 3'-UTR study were performed in GC cells. In vivo tumor metastasis was evaluated in nude mice. RESULTS: POU2F1 is overexpressed in GC cell lines and binds to the miR-29b1/a cluster promoter. POU2F1 is upregulated, whereas mature miR-29b-3p and miR-29a-3p are downregulated in GC tissues. POU2F1 promotes GC metastasis by inhibiting miR-29b-3p or miR-29a-3p expression in vitro and in vivo . Furthermore, PIK3R1 and/or PIK3R3 are direct targets of miR-29b-3p and/or miR-29a-3p , and the ectopic expression of PIK3R1 or PIK3R3 reverses the suppressive effect of mature miR-29b-3p and/or miR-29a-3p on GC cell metastasis and invasion. Additionally, the interaction of PIK3R1 with PIK3R3 promotes migration and invasion, and miR-29b-3p , miR-29a-3p , PIK3R1 , and PIK3R3 regulate migration and invasion via the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway in GC cells. In addition, POU2F1 , PIK3R1 , and PIK3R3 expression levels negatively correlated with miR-29b-3p and miR-29a-3p expression levels in GC tissue samples. CONCLUSIONS The POU2F1 - miR-29b-3p / miR-29a-3p-PIK3R1 / PIK3R1 signaling axis regulates tumor progression and may be a promising therapeutic target for GC.
MicroRNAs/metabolism* ; Humans ; Stomach Neoplasms/pathology* ; Cell Line, Tumor ; Cell Movement/physiology* ; Phosphatidylinositol 3-Kinases/metabolism* ; Animals ; Mice ; Octamer Transcription Factor-1/metabolism* ; Mice, Nude ; Class Ia Phosphatidylinositol 3-Kinase/metabolism* ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic/genetics* ; Male ; Immunohistochemistry ; Female

N⁶-methyladenosine (m⁶A) modification plays a critical role in cell cycle regulation, while the mechanism of m⁶A in regulating mitosis remains underexplored. Here, we found that the total m⁶A modification level in cells increased during mitosis by the liquid chromatography-mass spectrometry/mass spectrometry and m⁶A dot blot assays. Silencing methyltransferase-like 3 (METTL3) or METTL14 results in delayed mitosis, abnormal spindle assembly, and chromosome segregation defects by the immunofluorescence. By analyzing transcriptome-wide m⁶A targets in HeLa cells, we identified polo-like kinase 1 (PLK1) as a key gene modified by m⁶A in regulating mitosis. Specifically, through immunoblotting and RNA pulldown, m⁶A modification inhibits PLK1 translation via YTH N⁶-methyladenosine RNA binding protein 1, thus mediating cell cycle homeostasis. Demethylation of PLK1 mRNA leads to significant mitotic abnormalities. These findings highlight the critical role of m⁶A in regulating mitosis and the potential of m⁶A as a therapeutic target in proliferative diseases such as cancer.
Humans ; Polo-Like Kinase 1 ; Cell Cycle Proteins/metabolism* ; Proto-Oncogene Proteins/metabolism* ; Protein Serine-Threonine Kinases/metabolism* ; Mitosis/physiology* ; HeLa Cells ; Adenosine/genetics* ; Methyltransferases/metabolism* ; RNA, Messenger/metabolism* ; RNA-Binding Proteins/metabolism*

Objective: To utilize machine learning(ML) algorithms to develop accurate and effective prediction models for TAC dose/weight-adjusted trough concentration(C0/D). Methods: Data were collected on 264 TAC blood concentration monitoring data from 72 patients undergoing kidney transplantation. The effects of population statistical data, clinical features, combined medication, and ultrasound feature parameters on TAC C0/D were analyzed. Features with a significance level less than 0.05 in the univariate analysis of TAC C0/D were selected for inclusion in the random forest(RF) algorithm to identify significant features. These features were interpreted using partial dependency plots. Five ML algorithms, including RF, support vector regression(SVR), extreme gradient boosting(XGBoost), decision trees(DT) and artificial neural networks(ANN), were employed to establish the TAC C0/D prediction model. Hyper-parameter tuning was performed on the RF model that performed the best. Results : Ten characteristic variables with importance scores>5 were retained and included in the ML model: transglutaminase, red blood cell count, blood urea nitrogen, weight, serum creatinine, renal segmental arterial resistance index, renal aortic resistance index, hematocrit, renal pelvic Young′s modulus value, and time after transplantation. The partial dependence plots showed that all 10 important variables screened were positively correlated with TAC C0/D. The tuned RF model outperformed the other models with aR2of 0.81, aRMSEof 43.93, and aMAEof 29.97. Conclusion The ML models demonstrate good performance in predicting TAC C0/D and provide innovative interpretations using partial dependence plot. The optimized RF model shows optimal performance and offers a novel tool for individualized medication adjustment for TAC in renal transplant patients.

Objective To study the management effect of the intelligent management mode of anesthet-ic medicine box.Methods The intelligent reconstruction of the management mode of anesthesia box in the de-partment of surgical anesthesiology was carried out,and the differences in the taking and return time in 3-month before and after applying the medicine box intelligent management,error rate,and information tracking were compared,and the management effect of the medicine box was compared between the intelligent manage-ment and the traditional mode.Results The prescription modification rate,accounting error rate,discrepancy rate of person and box,and omission rate of registration had statistical differences between the traditional management mode and intelligent management mode(P<0.05).The single medicine box management work-ing time for anesthetist getting the medicine box,returning the medicine box,taking the refrigerator medicine,generating prescription and charge in intteligent management mode was shortened compared with the tradi-tional management mode,and the difference was statistically significant(P<0.05);the working time of drug management such as drug counting,prescription checking,registration records checking,drug adding and daily inventory checking in the intelligent management mode was shortened compared with the traditional manage-ment mode,and the difference was statistically significant(P<0.05).Conclusion Compared with the tradi-tional mode,the anesthetic box management intelligent mode has high efficiency and strong reliability,moreo-ver is more conducive to the standardized management of anesthetic drugs in the operating room.

Objective To explore the efficacy and safety of conversion therapy for advanced hepatocellular carcinoma(HCC)with macrovascular invasion.Methods A total of 149 patients with advanced HCC with macrovascular invasion who were treated at our hospital from Jul.2019 to Jun.2021 were enrolled.All patients received systemic therapy combined with local therapy,and were assigned to conversion therapy group(n=42)and non-conversion therapy group(n=107)according to whether they ultimately underwent surgical treatment.The long-term prognosis and adverse reactions of these patients after conversion therapy were analyzed.Results The median event-free survival of 149 patients was 15.5 months,and the median overall survival had not been reached.The median event-free survival in the conversion therapy and non-conversion therapy groups were 19.8 months and 10.7 months,respectively,with the median overall survival being not reached and 28.2 months,respectively.Multifactor Cox regression analysis showed that conversion therapy was a protective factor for overall survival(hazard ratio[HR]=0.125,95％confidence interval[CI]0.016-0.966),but not for event-free survival.The 1-year and 2-year overall survival rates of the conversion therapy and non-conversion therapy groups were 100.0％,96.4％and 72.1％,53.4％,respectively,and the difference in survival curves between the 2 groups was statistically significant(P=0.003).The 1-year and 2-year event-free survival rates were 77.5％,33.8％and 47.3％,31.5％,respectively.There was no significant difference in survival curves between the 2 groups(P=0.070).The differences of the overall incidences of targeted and immunotherapy-related adverse reactions in the conversion therapy group and non-conversion therapy group(66.7％[28/42]vs 72.0％[77/107],P=0.524)and the incidences of grade Ⅲ to Ⅳ adverse reactions(23.8％[10/42]vs 27.1％[29/107],P=0.681),were not statistically significant.Conclusion For patients with advanced HCC with macrovascular invasion,conversion therapy can significantly improve the prognosis without serious adverse reactions.

Objective To construct a prognostic model of future asthma exacerbation risk in adults by com-bining novel biomarkers of serum chitinase-3-like protein 1(YKL-40),dipeptidyl peptidase-4(DPP4)and conventional predictors.Methods Patients with asthma in the non-acute exacerbation phase were recruited from the People's Hospital of Yubei District of Chongqing,from March 2022 to May 2023.Baseline clinical da-ta collected included medical history,forced expiratory volume in the first second(FEV1)/forced vital capacity(FVC),percentage of predicted forced expiratory volume in the first second(FEV1％pred),blood eosinophil count(EOS),blood neutrophil count(NEU),fractional exhaled nitric oxide(FeNO),serum YKL-40,and ser-um DPP4,etc.The patients were followed for one year to gather data on asthma acute exacerbations and their timings as defined in this study.A COX proportional hazards regression model was used to construct a prog-nostic model for future asthma exacerbations,with internal validation and results presentation.Results A to-tal of 224 patients with asthma completed the study.During the one-year follow-up period,102 patients experi-enced acute exacerbations as defined in this study.Based on univariate COX regression,stepwise regression for variable selection,clinical significance,and model simplicity,asthma control test(ACT)score group,number of asthma exacerbations in the past year group,log10(YKL-40),log10(FeNO),log10(EOS),and FEV1％pred were the following predictors were included in the final model.The overall C-statistic of the model was 0.795(95％CI:0.754-0.836),the area under the curve at the 52-week follow-up was 0.879(95％CI:0.834-0.924),and the Brier score at the 52-week follow-up was 0.142(95％CI:0.117-0.168).The calibration curve was close to a slope of 1,and bootstrap validation suggested good stability of the prediction model.The model was presented using a Nomogram and a dynamic scoring table in a web APP,which can be used to predict the risk of asthma exacerbations within 52 weeks for individual patients.Conclusion The prediction model based on serum YKL-40,EOS,FeNO,the number of asthma exacerbation in the past year group,FEV1％pred and ACT scores group can accurately predict the probability of acute attacks in 52 weeks of asthma patients.

Objective To assess the prognostic significance of the Controlling Nutritional Status (CONUT) score in patients with non-small cell lung cancer (NSCLC) and its association with clinicopathological characteristics. Methods The relevant studies investigating the association between CONUT score and prognosis of NSCLC patients were systematically searched in the PubMed, Web of Science, EMbase, Cochrane Library, CNKI, Wanfang Database and other databases from their inception to July 2023. Two independent researchers screened the references according to predefined inclusion and exclusion criteria, extracted data and conducted quality assessment. The quality of included references was evaluated using New Castle-Ottawa Scale (NOS). The meta-analysis was performed using Stata 17.0 software, and a combined hazard ratio (HR) or odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the association of CONUT score with prognosis and clinicopathological characteristics in NSCLC patients. Results A total of 17 cohort studies, comprising 5182 NSCLC patients with stage Ⅰ-Ⅳ, were included in this analysis. All studies had a NOS≥6 points. The meta-analysis showed that there was a significant correlation between CONUT score and overall survival (OS) as well as disease-free survival (DFS) among NSCLC patients: the higher the score, the shorter the OS [HR=1.87, 95%CI (1.58, 2.21), P<0.001] and DFS [HR=1.91, 95%CI (1.63, 2.24), P<0.001]. These differences were statistically significant. Furthermore, CONUT score was significantly associated with age, smoking status, tumor stage, and N stage (P<0.05). Conclusion A higher CONUT score is associated with a poorer OS and DFS in patients with NSCLC, and CONUT score can be used as a potential predictor of NSCLC prognosis.

Objective To analyze the core genes of lung ischemia-reperfusion injury and construct a competitive endogenous RNA (ceRNA) network. Methods Original data of GSE145989 were downloaded from the Gene Expression Omnibus (GEO) database as the training set, and the GSE172222 and GSE9634 datasets were used as the validation sets, and the differentially-expressed genes (DEG) were identified. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. Protein-protein interaction (PPI) network was constructed, and the core genes were screened, and the diagnostic values of these core genes and the immune infiltration levels of immune cells were evaluated. The ceRNA network was constructed and validated. The targeted drugs based on ceRNA network were assessed. Results A total of 179 DEG were identified, including 61 down-regulated and 118 up-regulated genes. GO analysis showed that DEGs were associated with multiple biological processes, such as cell migration, differentiation and regulation, etc. They were correlated with cell components, such as vesicle membrane, serosa and membrane raft, etc. They were also associated with multiple molecular functions, such as chemokine receptor, G protein-coupled receptor, immune receptor activity and antigen binding, etc. KEGG pathway enrichment analysis revealed that DEG were involved in tumor necrosis factor (TNF), Wnt, interleukin (IL)-17 and nuclear factor (NF)-κB signaling pathways, etc. PPI network suggested that CD8A, IL2RG, STAT1, CD3G and SYK were the core genes of lung ischemia-reperfusion injury. The ceRNA network prompted that miR-146a-3p, miR-28-5p and miR-593-3p were related to the expression level of CD3G. The miR-149-3p, miR-342-5p, miR-873-5p and miR-491-5p were correlated with the expression level of IL-2RG. The miR-194-3p, miR-512-3p, miR-377-3p and miR-590-3p were associated with the expression level of SYK. The miR-590-3p and miR-875-3p were related to the expression level of CD8A. The miR-143-5p, miR-1231, miR-590-3p and miR-875-3p were associated with the expression level of STAT1. There were 13 targeted drugs for CD3G, 4 targeted drugs for IL-2RG, 28 targeted drugs for SYK and 3 targeted drugs for lncRNA MUC2. No targeted drugs were identified for CD8A, STAT1 and other ceRNA network genes. Conclusions CD8A, IL2RG, STAT1, CD3G and SYK are the core genes of lung ischemia-reperfusion injury. The research and analysis of these core genes probably contribute to the diagnosis of lung ischemia-reperfusion injury and providing novel research ideas and therapeutic targets.