Objective To analyze the relationship between MyD88L265P and CD79B mutations in tumor tissue and the prognosis of primary central nervous system lymphoma(PCNSL).Methods 18 PCNSL patients with normal immune function(no history of HIV infection and immunosuppressants administration)who were diagnosed by craniotomy or stereotaxic biopsy in the Second Hospital of Lanzhou University from August 2018 to November 2020 were retrospectively analyzed.Real-time quantitative PCR and first-generation sequencing techniques were respectively used to detect MyD88L265P and CD79B mutations in tumor tissues of 18 PCNSL patients.Univariate analysis and Cox regression multivariate analysis were performed for indicators that may be associated with first progression-free survival(PFS)and overall survival in PCNSL.Results The mutation rate of MyD88L265P was 38.9%,the mutation rate of CD79B was 33.3%,and the co-mutation rate of MyD88L265P/CD79B was 27.8%in PCNSL tissue of 18 patients.Univariate analysis showed that the PCNSL patients with multiple lesions,deep involvement of lesions,and tissue CD79B mutation had a statistically significant shorter time of PFS(P<0.05).Multivariate analysis showed that deep lesion involvement(HR=0.135,95%CI 0.023-0.799,P<0.05)and CD79B mutation(HR=0.149,95%CI 0.028-0.800,P<0.05)in PCNSL tissue were independent prognostic factors for PCNSL patients.Conclusion The frequency of MyD88L265P and CD79B mutations was high in tumor tissues of 18 PCNSL patients,and these two gene mutations may be associated with poor prognosis of PCNSL,especially CD79B mutation.

To investigate the associations of serum gamma-glutamyl transferase (GGT) levels with the risk of cardiovascular disease (CVD) and its subtypes in patients with type 2 diabetes mellitus (T2DM) in Jiangsu Province.Methods:The participants were enrolled in the Comprehensive Research project regarding 'Prevention and Control of Diabetes' in Jiangsu Province. The baseline survey was conducted from 2013 to 2014, and follow-up until December 31, 2021. After excluding the participants who self-reported with chronic liver disease/stroke/coronary heart disease at baseline survey and those with incomplete information on GGT, a total of 16 147 T2DM patients were included in the final analysis. Cox proportional hazard regression models were used to calculate the hazard ratio ( HR) and their 95% CI of GGT for CVD, myocardial infarction, and stroke. Restricted cubic spline models were applied to analyze the dose-response relationship between GGT and the risk of CVD and its subtypes. Results:During the median follow-up time of 8.02 years, 2 860 CVD cases were registered, including 196 cases of myocardial infarction and 2 730 cases of stroke. Multivariate Cox proportional risk regression model indicated that compared to the lowest serum GGT level group, the highest GGT level group had a 24% increased risk of CVD ( HR=1.24, 95% CI: 1.09-1.41) and a 23% increased risk of stroke ( HR=1.23, 95% CI: 1.08-1.40). The restricted cubic spline model showed a nonlinear dose-response relationship between GGT and the risk of CVD, myocardial infarction, and stroke in T2DM patients. Conclusions:High levels of GGT may be associated with an increased risk of cardiovascular disease in T2DM patients, which needs further exploration and validation in future clinical practice.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

Objective:To explore the clinical features and prognosis of patients with primary central nervous system lymphoma(PCNSL).Methods:A retrospective analysis was performed on the relationship between clinical features,treatment regimen and prognosis in 46 newly diagnosed patients with primary central nervous system lymphoma who were diagnosed and treated in The Second Hospital of Lanzhou University from January 2015 to September 2022.Fisher's exact probability method was used to analyze the differences in clinical data of different subgroups.Kaplan-Meier survival curve was used to analyze the overall survival rate and progression-free survival rate of patients with different treatments,and the factors influencing survival were analyzed.Results:Among 46 patients with PCNSL,which pathological type were diffuse large B-cell lymphoma(DLBCL).There were 26(56.5％)cases of male and 20(43.5％)of female,with a median age of 54(17-71)years.In Hans subtypes,14 cases(30.4％)of GCB subtype,32 cases(69.6％)of non-GCB subtype.32 cases(69.6％)of Ki-67 ≥80％.Among 36 patients who completed at least 2 cycles of treatment with follow-up data,the efficacy evaluation was as follows:overall response rate(ORR)was 63.9％,complete response(CR)rate was 47.2％,17 cases of CR,6 cases of PR.The 1-year progression-free survival rate and 1-year overall survival rate was 73.6％and 84.9％,respectively.The 2-year progression-free survival rate and 2-year overall survival rate was 52.2％and 68.9％,respectively.The ORR and CR rate of 17 patients treated with RMT regimen was 76.5％and 52.9％(9 cases CR and 4 cases PR),respectively.Univariate analysis of 3 groups of patients treated with RMT regimen,RM-BTKi regimen,and RM-TT regimen as first-line treament showed that deep brain infiltration was associated with adverse PFS(P=0.032),and treatment regimen was associated with adverse OS in PCNSL patients(P=0.025).Conclusion:Different treatment modalities were independent prognosis predictors for OS,the deep brain infiltration of PCNSL is a poor predictive factor for PFS.Patients with relapse/refractory(R/R)PCNSL have a longer overall survival time because to the novel medication BTKi.They have strong toleration and therapeutic potential as a first-line therapy for high-risk patients.

Objective:To investigate gene mutation characteristics of primary central nervous system lymphoma(PCNSL)through whole exome sequencing(WES)to 18 patients with PCNSL.Methods:Tumor tissues from 18 patients with diffuse large B-cell lymphoma who were diagnosed with PCNSL in Department of Hematology,Lanzhou University Second Hospital from September 2018 to December 2020 and had normal immune function,no history of HIV or immunosuppressant therapy were collected.High-throughput-based WES was performed on the tumor tissues,with an average sequencing depth of＞100 x.After data processing and bioinformatics analysis of sequencing results,the mutation maps and mutation characteristics of 18 PCNSL patients were obtained.Results:Obvious somatic mutations were detected in all 18 patients.The median number of somatic mutations was 321.Missense mutations were most prominent(accounting for about 90％),and the mutation type was dominated by C＞T(50.2％),reflecting the age-related mutation pattern.Among the top 15 frequently mutated genes,PSD3,DUSP5,MAGEB16,TELO2,FMO2,TRMT13,AOC1,PIGZ,SVEP1,IP6K3,and TIAM1 were the driver genes.The enrichment results of driver gene pathways showed that RTK-RAS,Wnt,NOTCH,Hippo and Cell-Cycle pathways were significantly enriched.The tumor mutation burden was between 3.558 48/Mb and 8.780 89/Mb,and the average was 4.953 32/Mb,which was significantly higher than other cancer research cohorts in the TCGA database.Conclusions:PCNSL occurs somatic missense mutations frequently,mainly point mutations,and the mutation type is mainly C＞T.The driver genes are mainly involved in RTK-RAS,Wnt,NOTCH and Hippo pathways,indicating that the above pathways may be related to the pathogenesis of PCNSL.PCNSL has a significantly high tumor mutation burden,which may explain the efficacy of PD-1 inhibitors in PCNSL.

Objective To observe the value of 18F-FDG PET/CT semi-quantitative parameters for predicting spread through air spaces(STAS)of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.Methods Data of 85 patients with clinical stage Ⅰa—Ⅲ a lung adenocarcinoma who underwent preoperative 18F-FDG PET/CT were retrospectively analyzed.The patients were divided into positive group(n=23)or negative group(n=62)according to whether pathology showed STAS or not.Clinical and PET/CT data were compared between groups,and logistic analysis was performed to explore the efficacy of each parameter for predicting STAS.Results Significant differences of gender,carcinoma embryonic antigen,clinical stage,pathological grade,micropapillary growth and proportion were found between groups(all P＜0.05).The maximum,the mean,the peak standard uptake value(SUVmax,SUVmean,SUVpeak),as well as the maximum,the mean and the peak standard uptake value normalized by lean body mass(SULmax,SULmean,SULpeak),also the total lesion glycolysis(TLG)in positive group were all significantly higher than those in negative group(all P＜0.05).Patients'gender,proportion of micropapillary growth,SUVmax and SULmax were all independent risk factors of STAS of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.The area under the curve(AUC)of the above parameters for predicting STAS was 0.666,0.912,0.839 and 0.842,respectively,and of the combination was 0.957.Conclusion 18 F-FDG PET/CT semi-quantitative parameters SUVmax and SULmax were helpful for predicting STAS of clinical stage Ⅰa—Ⅲ a lung adenocarcinoma,and further combination of gender and proportion of micropapillary growth could improve diagnostic efficacy.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective: To investigate the distribution of blood pressure and analyze the associated factors of blood pressure of the elderly with type 2 diabetes in Jiangsu Province. Methods: The elderly over 60 years old participants with type 2 diabetes in the communities of Huai'an City and Changshu City, Jiangsu Province were selected in this study. They were divided into two groups: taking antihypertensive drugs and not taking antihypertensive drugs. The demographic characteristics, such as age and sex, and relevant factors were collected by questionnaire. The systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured by physical examination. The percentile of SBP and DBP in each age group of men and women were described. The kernel density estimation curve was used to show the blood pressure distribution. The trend of blood pressure with age was fitted by locally weighted regression. The logistic regression model was used to analyze relevant factors of blood pressure. Results: A total of 12 949 participants were included in this study, including 7 775 patients in the antihypertensive drug group and 5 174 patients in the group without antihypertensive drugs. The SBP of participants was concentrated at 140-160 mmHg, and their DBP was concentrated at 75-85 mmHg. There were significant differences in the distribution of blood pressure among the subgroups of body mass index (BMI) and rural areas whether taking antihypertensive drugs and not. For participants aged under 80 years old, the SBP showed an increasing trend with age and the DBP showed a decreasing trend with age. Age, BMI ≥24 kg/m², fasting blood glucose ≥7.0 mmol/L, living in rural areas and no smoking were influencing factors of the elevated SBP; BMI ≥24 kg/m², male, living in rural areas, no smoking, drinking alcohol and not receiving drug hypoglycemic treatment were influencing factors of the elevated DBP. Conclusion: The SBP of older diabetic adults in Jiangsu Province is at a high level, and the distribution of blood pressure is significantly different between men and women in taking antihypertensive drugs group. The SBP presents a rising trend and the DBP is decreasing at the age of 60-80 years. The blood pressure level of this population are mainly affected by age, BMI, urban and rural areas, smoking.
Adult ; Aged ; Humans ; Male ; Female ; Middle Aged ; Aged, 80 and over ; Blood Pressure/physiology* ; Diabetes Mellitus, Type 2/epidemiology* ; Antihypertensive Agents/therapeutic use* ; Smoking ; Body Mass Index ; Hypertension/epidemiology*

Cancer cell membrane (CCM) derived nanotechnology functionalizes nanoparticles (NPs) to recognize homologous cells, exhibiting translational potential in accurate tumor therapy. However, these nanoplatforms are majorly generated from fixed cell lines and are typically evaluated in cell line-derived subcutaneous-xenografts (CDX), ignoring the tumor heterogeneity and differentiation from inter- and intra- individuals and microenvironments between heterotopic- and orthotopic-tumors, limiting the therapeutic efficiency of such nanoplatforms. Herein, various biomimetic nanoplatforms (CCM-modified gold@Carbon, i.e., Au@C-CCM) were fabricated by coating CCMs of head and neck squamous cell carcinoma (HNSCC) cell lines and patient-derived cells on the surface of Au@C NP. The generated Au@C-CCMs were evaluated on corresponding CDX, tongue orthotopic xenograft (TOX), immune-competent primary and distant tumor models, and patient-derived xenograft (PDX) models. The Au@C-CCM generates a photothermal conversion efficiency up to 44.2% for primary HNSCC therapy and induced immunotherapy to inhibit metastasis via photothermal therapy-induced immunogenic cell death. The homologous CCM endowed the nanoplatforms with optimal targeting properties for the highest therapeutic efficiency, far above those with mismatched CCMs, resulting in distinct tumor ablation and tumor growth inhibition in all four models. This work reinforces the feasibility of biomimetic NPs combining modular designed CMs and functional cores for customized treatment of HNSCC, can be further extended to other malignant tumors therapy.
Animals ; Humans ; Squamous Cell Carcinoma of Head and Neck/therapy* ; Heterografts ; Photothermal Therapy ; Biomimetics ; Disease Models, Animal ; Head and Neck Neoplasms/therapy* ; Cell Line, Tumor ; Tumor Microenvironment