OBJECTIVES: To investigate the expression levels of marginal zone B and B1-cell-specific protein (MZB1) in pan-cancer and its association with patient prognosis and tumor microenvironment (TME). METHODS: MZB1 expression data, clinicopathological parameters, and survival data from 33 cancer types were extracted from the UCSC database for analyzing the correlations of MZB1 with clinical stage, patient prognosis, immunomodulatory genes, immune checkpoint genes, tumor stemness, immune cell infiltration, tumor mutational burden (TMB), and microsatellite instability (MSI). MZB1 gene mutations in pan-cancer were assessed using cBioPortal online database, and the value of MZB1 for cancer diagnosis was evaluated using ROC curve analysis. MZB1 expression levels in myeloid leukemia and renal carcinoma cells were detected using RT-qPCR and Western blotting, and the effect of MZB1 knockdown on cell proliferation was examined using EdU assay. RESULTS: MZB1 was significantly overexpressed in 20 cancer types, including kidney renal clear cell carcinoma (KIRC), breast invasive carcinoma, and acute myeloid leukemia. Its expression was associated with TNM stage, clinical stage, overall survival, and progression-free survival in multiple cancers. In most tumors, MZB1 expression was correlated significantly with immunomodulatory genes, immune checkpoint genes, tumor stemness, immune cell infiltration, TMB, and microsatellite instability. Gene amplification was the predominant mutation type of MZB1 in pan-cancer, and MZB1 showed high diagnostic value for skin cutaneous melanoma, KIRC, and head and neck squamous cell carcinoma. MZB1 was highly expressed in different myeloid leukemia cell lines and renal carcinoma cell lines, and MZB1 knockdown significantly suppressed the proliferation of HL60 and 769-P cells. CONCLUSIONS MZB1 is highly expressed in a variety of tumors, and its aberrant expression affects the occurrence and prognosis of many tumors, suggesting its potential as a novel tumor biomarker and immunomodulatory target.
Humans ; Prognosis ; Tumor Microenvironment ; Neoplasms/pathology* ; Cell Line, Tumor ; Mutation ; Kidney Neoplasms ; Microsatellite Instability ; Cell Proliferation ; Carcinoma, Renal Cell

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Surgical robot is the national strategic diagnostic and therapeutic equipment research focus,get a number of scientific research institutes,colleges and universities and enterprises pay extensive attention to the design and development of a variety of surgical robots,and registration declaration.This article explores the critical technologies of surgical robots and key areas for optimizing their performance,including kinematic positioning errors,pose errors,feedback model errors,image recognition positioning errors,path planning,and safety aspects.The findings not only provide a scientific basis for future standardization research on surgical robots but also offer significant theoretical and practical references for the research,manufacturing,and registration processes in the medical robotics industry.

Objective To examine the regulation of malignant progression of colorectal cancer by LINC00626 via the JAK1/STAT3/KHSRP signaling axis and its molecular mechanism.Methods 96 individuals diagnosed with colorectal cancer at our hospital during June 11,2021 and June 11,2023 were chosen as research subjects,and their cancerous tissue and nearby normal tissue were collected.Cultivate colorectal cancer cell lines(SW620,HCT116,HT29,DLD-1,LOVO,Caco-2)and normal colorectal cells(NCM460)in vitro,and detect the expression of LINC00626 and KHSRP in colorectal cancer tissue and cell lines using qRT-PCR.Screening out cell lines infected with lentivirus,SW620 and HCT116 cell lines were transfected with knockdown lentivirus and its control,while HT29 and DLD-1 cell lines were transfected with overexpressing lentivirus and its control,respectively.Select stable transfected cell lines for cell function experiments to detect proliferation,migration,and invasion abilities.Detection of the effect of LINC00626 on the growth and migration of colorectal cancer tumors in live mouse experiments.The expression level of KHSRP protein in stable labeled cells was determined using a western blot analysis.Rescue experimental research on the regulatory relationship between LINC00626 and KHSRP.Results qRT-PCR showed low expression of LINC00626 and high expression of KHSRP in colorectal cancer tissues and cell lines.Cell function experiments showed that compared with the sh-NC group,the sh-LINC00626 group promoted cell proliferation,migration,and invasion in SW620 and HCT116 cells,while the overexpression group showed the opposite.Cell rescue experiments showed that,LINC00626+KHSRP significantly reversed the promotion effects of knocking down LINC00626 on cell proliferation,migration,and invasion.In the nude mouse experiment,com-pared with the sh-NC group,the sh-LINC00626 group showed a significant increase in tumor volume and weight,cell proliferation rate,and the number of lung metastases from colorectal cancer in the nude mice;Overexpression results in the opposite.The signal pathway experiment revealed that relative to the sh-NC group,the expression levels of JAK1 and STAT3 mRNA in the sh-LINC00626 group were significantly increased,whereas the results in the overexpression group were the opposite.Conclusion LINC00626 suppression the malignant progression of colorec-tal cancer metastasis through the JAK1/STAT3/KHSRP signaling axis.

Objective To explore the effect of glioma stem cells with high expression of protein tyrosin phosphatase receptor type Z1 (PTPRZ1 )on the phenotypic polarization and phagocytosis of tumor-associated macrophages and its regulatory mechanism.Methods GSCs and non-stem tumor cells (NSTCs) were screened out from human glioblastoma (GBM) specimens using flow cytometry,and the PTPRZ1 expression in paired GSCs and NSTCs were detected.Human peripheral blood mononuclear cells (PBMC)-derived CD14+monocytes were exposed to the conditioned medium from glioma cells or recombinant chemokine C-C motif ligand 20 (CCL20)for TAM polarization.Stable PTPRZ1 knockout GSCs (PTPRZ1-KO GSCs) were constructed using CRISPR/Cas9. TAM phagocytosis to GSCs,NSTCs,PTPRZ1-Control GSCs (PTPRZ1-Ctrl GSCs)and PTPRZ1-KO GSCs and the expression of immunosuppressive phenotype (M2) polarization marker CD163 were examined using flow cytometry.Differentially expressed genes (DEGs ) between paired GSCs and NSTCs were determined using a bulk RNA-sequencing dataset (GSE54791 )from Gene Expression Omnibus (GEO).A gene set informing worse outcome of patients with GBM was generated using The Cancer Genome Atlas (TCGA)-GBM cohort.By intersecting the aforementioned gene set with the gene set that encodes for human membrance proteins,the PTPRZ1 gene is obtained.Gene set enrichment analysis (GSEA)was used for pathway enrichment analysis to compare the differentially regulated pathways between GBMs with high or low PTPRZ1 expression.Bulk RNA sequencing,qRT-PCR and Western blotting were used to identify the DEGs between PTPRZ1-KO GSCs and PTPRZ1-Ctrl GSCs.Results GSCs were more capable of escaping from TAM phagocytosis than NSTCs (P<0.05 )and had specifically up-regulated PTPRZ1 expression.PTPRZ1-KO significantly suppressed GSCs escaping from TAM phagocytosis (P<0.01 ). GBMs with high PTPRZ1 expression showed significant inhibition of pathways mediating phagocytosis (P<0.05).The expression of CCL20 as a M2 TAM polarization chemokine was significantly down-regulated in PTPRZ1-KO GSCs (P<0.05 ).Treatment with recombinant CCL20 up-regulated the expression of CD163 as a M2 TAM marker in TAM.Conclusion PTPRZ1+GSCs mediate M2 TAM polarization and inhibit TAM phagocytosis,which may be related to the up-regulation of CCL20 in PTPRZ1+GSCs.

Objective To investigate the expression levels and the clinical significance of upstream tran-scription factor 2(USF2)and ubiquitin-specific protease 10(USP10)in peripheral blood of patients with sep-sis combined with acute kidney injury(AKI).Methods A total of 259 patients with sepsis were selected from Jilin Provincial People's Hospital from January 2018 to December 2022.Patients were divided into AKI group(107 cases)and non AKI(NAKI)group(152 cases)according to whether they had AKI or not.General clini-cal data were collected and the expression levels of USF2 and USP10 in peripheral blood were detected.Pear-son analysis was used to investigate the correlation between USF2,USP10,and renal function.Binary Logistic regression analysis was used to investigate the factors influencing sepsis patients with AKI.Receiver operating characteristic(ROC)curve was drown to analyze the value of USF2 and USP10 in diagnosing AKI in patients with sepsis.Results The expression level of serum USF2 in AKI group was higher than that in NAKI group,and the difference was statistically significant(P＜0.05),while the serum USP10 expression level in AKI group was lower than that in NAKI group,and the difference was statistically significant(P＜0.05).In AKI group,USF2 expression was positively correlated with urea nitrogen(BUN),serum creatinine(Scr)and Cys-tatin C(CysC)(P＜0.05),while USP10 expression was negatively correlated with BUN,Scr and CysC(P＜0.05).High sequential organ failure assessment(SOFA)score,septic shock and high expression of USF2 were risk factors for AKI in sepsis patients(P＜0.05),and high expression of USP10 was protective factor(P＜0.05).The area under the curve(AUC)of single detection of USF2 and USP10 for diagnosing AKI in patients with sepsis was 0.742(95％CI:0.676-0.808)and 0.781(95％CI:0.724-0.839),respectively.The AUC of the combination of USF2 and USP10 for diagnosing AKI in patients with sepsis was 0.907(95％CI:0.865-0.948),which was higher than that of single detection(P＜0.05).Conclusion Increased expression of USF2 and decreased expression of USP10 in peripheral blood of patients with sepsis are associated with in-creased risk of AKI and decreased renal function.

Objective·To establish a nomogram for the differential diagnosis of early systemic lupus erythematosus(SLE)and other autoimmune diseases based on laboratory indications,and to evaluate its efficacy.Methods·A total of 535 SLE patients admitted to the First Hospital of Lanzhou University from January 2017 to December 2021 were selected as SLE group,and 535 patients with other autoimmune diseases during the same period were selected as control group.Basic information and laboratory test indicators of the SLE group and control group were collected and compared.The SLE group and control group were randomly assigned to the training set and the validation set at a ratio of 7∶3,respectively.LASSO regression method and multivariate Logistic regression were used to select the main risk factors of SLE.The nomogram for differential diagnosis of early SLE(SLE nomogram)was established according to the selected main risk factors.Bootstrap method was used to conduct internal repeated sampling for 1 000 times to calibrate the nomogram.The receiver operator characteristic curve(ROC curve)and decision curve analysis(DCA)were performed to evaluate the differential diagnosis ability and the value in clinical application of SLE nomogram,respectively.The"DynNom"package of R language was used to convert the nomogram into an electronic calculator,and its consistency with SLE nomogram was verified by data from 3 groups of patients.Results·LASSO regression and multivariate Logistic regression identified six major risk factors for SLE,including antinuclear antibody(ANA),anti-double-stranded DNA(anti-dsDNA)antibody,anti-ribonucleoprotein antibody/anti-Simth antibody(anti-nRNP/Sm),anti-ribosomal P protein(anti-P)antibody,anti-nucleosome antibody(ANuA)and urinary protein(PRO),which were used to construct the SLE nomogram.The calibration curve of the SLE nomogram had standard errors of 0.009 and 0.015 in the training set and validation set,respectively,and its area under the curve(AUC)was 0.889 and 0.869,respectively.The results of DCA showed that when the risk threshold of SLE nomogram was 0.15?0.95,the model achieved more net benefit.The prediction results of the electronic calculator showed that when ANA(titer 1∶100)was positive in SLE patient No.1,the prevalence was 0.166;when both ANA(titer 1∶100)and ANuA(titer 1∶100)were positive in patient No.2,the prevalence was 0.676;when all of PRO,ANA(titer 1∶100),ANuA(titer 1∶100)and anti-P antibody(titer 1∶100)were positive in patient No.3,the prevalence was 0.990,which was consistent with the differential diagnosis results of the SLE nomogram.Conclusion·The established SLE nomogram based on ANA,anti-dsDNA antibody,anti-nRNP/Sm,anti-P antibody,ANuA and PRO and its conversion into an electronic calculator can effectively distinguish early SLE from other autoimmune diseases,and have important clinical application value.

Objective The study aimed to construct and validate a predictive model for pulmonary nodules(PN)nature based on clinicopa-thological features,imaging,and serum biomarkers,so as to provide scientificdecision-making for early diagnosis and treatment of lung cancer.Methods A retrospective was performed on 816 PN patients with definited pathological diagnosis who received surgical resection analysisor lung biopsy in the Department of Thoracic Surgery and Oncology of Shenzhen Traditional Chinese Medicine Hospital from January 2019 to February 2023.Among them,113 cases that did not meet the inclusion criteria were excluded,and the remaining 703 cases were included in the study.The study based on the clinicopathologic features(age,gender,smoking history,smoking cessation history and family history of cancer),chest imaging(maximum diameter of nodule,location of lesion,clear border,Lobulation,spiculation,vascular convergence sign,vacuole,calcification,air bronchial sign,emphysema,nodule type and pleural indentation,nodule number)and serum carcinoembryonic antigen(CEA),cytokeratin 19 fragment(CYFRA21-1),squamous cell carcinoma antigen(SCCA)in patients with PN.These cases were randomly divided into a modeling group(n=552,237 benign,315 malignant)and a validation group(n=151,85 benign,66 malignant).First,univariate analysis was performed to screen for statistically significant predictors of nodules nature.Then,multivariate regression analysis was performed to screen for independent predictors of nodules nature.Finally,the prediction model of PN nature was constructed by logistic regression analysis.Subsequently,the validation group data were entered into the proposed model and Mayo clinic(Mayo)model,veterans affairs(VA)model,Brock University(Brock)model,Peking University(PKU)model and Guangzhou Medical University(GZMU)model,respectively.PN malignancy probability was calculated.The receiver operating characteristic(ROC)curves were plotted.The diagnostic efficiency of each model was compared according to the area under the curve(AUC).Results There were statistically significant variables including age,family history of cancer,maximum nodule diameter,nodule type,upper lobe of lung,calcification,vascular convergence sign,lobulation,clear border,spiculation,and serum CEA,SCCA,CYFRA21-1 using univariate analysis.Multiple regression analysis showed that age,CEA,clear border,CYFRA21-1,SCCA,upper lobe of lung,maximum nodule diameter,family history of cancer,spiculation and nodule type were independent predictors of PN nature.The prediction model equation constructed in this study is as follows:f(x)= ex/(1+ex),X=(-6.318 8+0.020 8×Age+0.527 4×CEA-0.928 4×clear border+0.294 6×Cyfra21-1+0.294×maximum nodule diameter+1.220 1×family history of cancer +0.573 2×upper lobe of lung +0.064 8×SCCA +1.461 5×Spiculation +1.497 6×nodule type).The AUC(0.799 vs 0.659,0.650)of the proposed model was significantly higher compared with Mayo model and VA model,and there were statistically significant differences(Z=3.029,2.638,P=0.003,0.008).However,compared with Brock model,PKU model and GZMU model,the differences of AUC(0.799 vs 0.762,0.773,0.769)were not statistically significant(Z=1.063,0.686,0.757,P=0.288,0.493,0.449).Conclusion The prediction model for PN nature established in this study is accurate and reliable,which can help clinics with early diagnosis and early intervention,and this prediction model deserves to be popularized.

Objective     To explore the correlation between the imaging features of peripheral ground-glass pulmonary nodules and the invasion degree of lung adenocarcinoma, and the high risk factors for infiltrating lung adenocarcinoma under thin-slice CT, which provides some reference for clinicians to plan the surgical methods of pulmonary nodules before operation and to better communicate with patients, and assists in building a clinical predictive model for invasive adenocarcinoma. Methods    Clinical data of the patients with peripheral ground-glass pulmonary nodules (diameter≤3 cm) in thin-slice chest CT in the First Affiliated Hospital of Soochow University from January 2019 to January 2020 were continuously collected. All patients underwent thin-slice CT scan and thoracoscopic surgery in our center. According to the pathological examination results, they were divided into two groups: an adenocarcinoma lesions before infiltration group, and an invasive lung adenocarcinoma group. The thin-slice CT imaging parameters of pulmonary nodules were collected. The nodular diameter, mean CT value, consolidation tumor ratio (CTR), nodular shape, vacuolar sign, bronchial air sign, lobulation sign, burr sign, lesion boundary, pleural depression sign, vascular cluster sign and other clinical data were collected. Univariate and multivariate analyses were conducted to analyze the independent risk factors for the infiltrating lung adenocarcinoma, and to analyze the threshold value and efficacy of each factor for the identification of infiltrating lung adenocarcinoma. Results     Finally 190 patients were enrolled. There were 110 patients in the adenocarcinoma lesions before infiltration group, including 21 males and 89 females with a mean age of 53.57±10.90 years, and 80 patients in the invasive lung adenocarcinoma group, including 31 males and 49 females with a mean age of 56.45±11.30 years. There was a statistical difference in the mean CT value, nodular diameter, CTR, gender, smoking, nodular type, nodular shape, vacuolar sign, lobulation sign, burr sign, lesion boundary, pleural depression sign, vascular cluster sign between the two groups (P<0.05). However, there was no statistical difference between the two groups in age (P=0.081), lesion site (P=0.675), and bronchial air sign (P=0.051). Multiple logistic regression analysis showed that nodular diameter, mean CT value, CTR and lobulation sign were independent risk factors for differentiating preinvasive adenocarcinoma from invasive adenocarcinoma. At the same time, the threshold value was calculated by Youden index, indicating that the CTR was 0.45, the nodal diameter was 10.5 mm and the mean CT value was –452 Hu. Conclusion     In the peripheral ground-glass pulmonary nodules, according to the patient's CT imaging features, such as mixed ground-glass nodules, irregular shapes, vacuoles, short burrs, clear boundaries, pleural indentations, and vascular clusters, have a certain reference value in the discrimination of the invasion degree of ground-glass pulmonary nodules. At the same time, it is found in this research that peripheral ground-glass pulmonary nodules with diameter greater than 10.5 mm, CT value greater than –452 Hu, CTR greater than 0.45 and lobulation sign are more likely to be infiltrating lung adenocarcinoma.

Objective:To investigate the influencing factors of prolonged postoperative ileus (PPOI) in patients undergoing pancreaticoduodenectomy (PD) during hospitalization.Methods:The data of 339 patients underwent PD admitted to the Department of Hepatobiliary Surgery of the Second Hospital of Hebei Medical University from January 2018 to September 2023 were retrospectively analyzed, including 204 males and 135 females, aged (60.6±11.2) years. Among the 339 patients, 112 (33.0%) had pancreatic tumors, 94 (27.7%) had Vater ampullary tumors, 82 (24.2%) had common bile duct tumors, and 51 (15.0%) had duodenal tumors. A total of 339 patients with PPOI were included in the PPOI group ( n=43) and those without PPOI were included in the control group ( n=296). The two groups were compared in terms of age, PD operation (open or laparoscopic), gastrojejunostomy (retrocolic or antecolic gastrojejunostomy), grade B or C pancreatic fistula, hypokalemia, and postoperative use of patient-controlled intravenous analgesia (PCIA). The index comparing P<0.05 between the two groups was further included in the multivariate logistic regression analysis to analyze the influencing factors of PPOI in PD patients. Results:There were statistically significant differences in age >70 years, PD operation, gastrojejunostomy, grade B or C pancreatic fistula, hypokalemia, and postoperative use of PCIA between the two groups (all P<0.05). Multivariate logistic regression analysis showed grade B or C pancreatic fistula ( OR=3.17, 95% CI: 1.48-6.82), open surgery ( OR=2.90, 95% CI: 1.35-6.24), retrocolic gastrojejunostomy ( OR=2.47, 95% CI: 1.23-4.95), postoperative usage of PCIA ( OR=2.61, 95% CI: 1.21-5.62), age >70 years ( OR=2.47, 95% CI: 1.71-5.19) had a high risk of PPOI during postoperative hospitalization (all P<0.05). Conclusion:Postoperative grade B or C pancreatic fistula, open surgery, retrocolic gastrojejunostomy (compares with antecolic gastrojejunostomy), postoperative using PCIA, and age >70 years are independent risk factors for PPOI in patients undergoing PD during postoperative hospitalization.