OBJECTIVE To systematically evaluate the efficacy and safety of tislelizumab in the treatment of advanced non- small cell lung cancer （NSCLC）. METHODS Computerized searches were conducted in PubMed， Embase， the Cochrane Library， CNKI， Wanfang and other Chinese and English databases to collect randomized controlled trials （RCTs） on tislelizumab for advanced NSCLC. The search period was from the establishment of the databases to December 2024. After strictly screening the literature， extracting data and conducting quality evaluations in accordance with the inclusion and exclusion criteria， a meta-analysis was performed using RevMan 5.3 and Stata 16.0 software. RESULTS A total of 18 RCTs involving 2 337 patients were included， with 1 283 in the experimental group and 1 054 in the control group. The meta-analysis results showed that the objective response rate [RR＝1.61， 95%CI （1.48， 1.75）， P＜0.000 01]， disease control rate [RR＝1.21， 95%CI （1.13， 1.29）， P＜0.000 01]， progression free survival [HR＝0.55， 95%CI （0.45， 0.66）， P＜0.000 01]， and overall survival [HR＝0.78， 95%CI（0.62， 0.97）， P＝0.03] were significantly better in the experimental group than in the control group. There was no statistically significant difference in the incidence of adverse reactions between the two groups [RR＝1.00， 95%CI （0.73， 1.37）， P＝1.00]； among the common adverse reactions， only the incidence of liver function impairment was significantly higher in the experimental group than in the control group [RR＝1.30， 95%CI （1.10， 1.54）， P＜0.01]. CONCLUSIONS Tislelizumab in combination with chemotherapy or targeted drugs significantly improves the efficacy in patients with advanced NSCLC without increasing the risk of adverse reactions overall. However， liver function should be closely monitored during treatment.

Objective:To investigate the influence of Kruppel-like factor 16 (KLF16) on the proliferation and migration of pancreatic cancer cells.Methods:Immunohistochemical images of KLF16 were collected from 171 pancreatic cancer tissues and their matched paracarcinoma normal pancreas tissues and 8 pancreatic cancer tissues only in GEPIA database. The expression of KLF16 protein was detected by immunohistochemical imaging software. The protein and mRNA expressions of pancreatic cancer cell lines AsPC-1 and MIA PaCa-2 KLF16 were detected by Western blot and quantitative fluorescence PCR. By knockdown or exogenous overexpression of KLF16, the two cells were divided into blank control group (NC group), negative control group (siRNA-NC group), downexpression KLF16 group (siKLF16 group), overexpression control group (OE-NC group) and ovexpression KLF16-OE group (KLF16-OE group). CCK-8 assay, colony formation assay and transwell chamber were used to detect cell proliferation and migration.Results:The KLF16 protein expression level (4.02±1.26 vs 1.73±1.07) and positive expression rate (91.6% vs 13.5%) in pancreatic cancer tissues were significantly higher than those in paracancer normal pancreas tissues, with statistical significance ( P<0.05). After downregulating KLF16 expression and culturing for 24, 48, 72, and 96 hours, the A450 values of both AsPC-1 (0.19±0.02 vs 0.23±0.03, 0.24±0.06 vs 0.36±0.06, 0.45±0.09 vs 0.78±0.10, 0.69±0.04 vs 0.88±0.07) and MIA PaCa-2 cells (0.20±0.03 vs 0.22±0.02, 0.29±0.05 vs 0.31±0.04, 0.47±0.06 vs 0.78±0.10, 0.71±0.02 vs 0.90±0.07) and colony counts [(36±4.32) per well vs (118.51±10.01) per well, (13.6±2.62) per well vs (83.1±9.11) per well], and the number of migrated cells [(16.67±2.05) vs (46.67±5.91), (19.67±1.69) vs (55±4.89)] all decreased significantly. However, after up-regulating the expression of KLF16 and culturing for 24, 48, 72 and 96 h, the A450 value of both AsPC-1 (0.21±0.05 vs 0.20±0.04, 0.48±0.03 vs 0.31±0.04, 0.91±0.09 vs 0.72±0.03, 1.28±0.10 vs 1.05±0.02) and MIA PaCa-2 cells (0.20±0.01 vs 0.19±0.05, 0.44±0.03 vs 0.30±0.04, 0.89±0.06 vs 0.72±0.03, 1.19±0.05 vs 1.01±0.10), and the number of cell colonies [(189±6.37)/per hole vs (108±9.62)/ per hole, (141±12.56)/ per hole vs (80.69±10.32)/ per hole]], migration cell numbers [(79±4.89) per hole vs (50.33±4.11) per hole, (79.66±3.85) per hole vs (51±4.08) per hole] all increased significantly. Conclusions:KLF16 is highly expressed in pancreatic cancer. The up-regulated expression of KLF16 in pancreatic cancer cell lines can promote the proliferation and migration of pancreatic cancer cells.

Objective:To investigate the influencing factors for splenomegaly secondary to acute pancreatitis (AP) and construction of a nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 180 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from December 2017 to December 2021 were collected. There were 124 males and 56 females, aged (49±15) years. Among them, 60 AP patients who developed secondary splenomegaly were taken as the case group, including 48 males and 12 females, aged (47±13)years, and the rest of 120 cases of AP without secondary splenomegaly were taken as the control group, including 76 males and 44 females, aged (50±16)years. Observation indicators: (1) occurrence and clinical characteristics of splenomegaly secondary to AP; (2) influencing factors for splenomegaly secondary to AP; (3) construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the rank sum test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. The univariate analysis was performed using statistical methods appropriate to the data type. The optimal cut-off value was determined by the receiver operating characteristic curves. Multivariate analysis was conducted using the Logistic regression model with forward method. Based on the results of the multivariate analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve was drawn, and the discrimination was evaluated using the area under curve. The consistency of the nomogram prediction model was evaluated using calibration curve, and its clinical benefit was evaluated using decision curve. Results:(1) Occurrence and clinical characteristics of splenomegaly secondary to AP. The first detection time of 60 patients with splenomegaly secondary to AP was 60(30,120)days after the onset of AP. Cases with persistent respiratory dysfunction, multiple organ failure, severity of illness as mild or moderately severe/severe, pancreatic and/or peripancreatic infection, surgery were 19, 17, 4, 56, 37, 32 for 60 patients with splenomegaly secondary to AP, versus 16, 19, 43, 77, 39, 29 for 120 patients without splenomegaly secondary to AP, respectively, showing significant differences in the above indicators between the two groups ( χ2=8.58, 3.91, 17.64, 13.95, 15.19, P<0.05). (2) Influencing factors for splenomegaly secondary to AP. Resuts of multivariate analysis showed that white blood cell count <5.775×10?/L within 24 hours of AP onset, revised computed tomography (CT) severity index >7 in 3-7 days after onset and the presence of local complications were independent risk factors influencing the splenomegaly secondary to AP ( odds ratio=3.85, 2.86, 6.40, 95% confidence interval as 1.68-8.85, 1.18-6.95, 1.56-26.35, P<0.05). (4) Construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. The nomogram prediction model was constructed based on white blood cell count within 24 hours of AP onset, revised CT severity index in 3-7 days after onset and local complications. The area under the receiver operating characteristic curve of the nomogram prediction model was 0.76 (95% confidence interval as 0.69-0.83, P<0.05), with a sensitivity of 0.87 and a specificity of 0.55. The calibration curve demonstrated consistency between the predicted rate from the nomogram prediction model and the actually observed rate. The decision curve analysis indicated that the nomogram prediction model had favorable clinical practicability. Conclusions:Patients with AP who develop secondary splenomegaly tend to have a higher severity of illness than those develop no secondary splenomegaly. White blood cell count <5.775×10?/L within 24 hours of AP onset, revised CT severity index >7 in 3-7 days after onset and presence of local complications are independent risk factors influencing splenomegaly secondary to AP, and its nomogram prediction model can predict incidence rate of splenomegaly secondary to AP.

Objective To review the research of self-management intervention in patients with hematopoietic stem cell transplantation,clarify the intervention elements,so as to provide references for clinical practice and future related research.Methods According to the scoping review framework,a literature search was performed in the PubMed,Embase,CINAHL,Web of Science,Cochrane Library,CNKI,Wan fang Database,VIP,CBMdisc for all the studies on self-management intervention of patients with hematopoietic stem cell transplantation.The retrieval time was from the establishment of the database to December,2022.There were 2 researchers who extracted and analyzed the data of the included literature.Results A total of 12 articles were included,including 3 randomized controlled trials,8 quasi-experimental studies,and 1 mixed study.6 studies were conducted with interventions based on the theoretical basis or nursing model such as self-management oriented 5A nursing model,continuous nursing model,problem-based learning theory.The intervention methods of 12 studies included nurse-led self-management guidance,mobile applications,multidisciplinary collaboration,and graphic cards.The intervention time was mostly 1～3 months.The outcome indicators included feasibility evaluation indicators such as operability,ease of use,and user satisfaction of the application,and effect evaluation indicators such as self-management ability,quality of life,and medication compliance of patients.The results showed that self-management interventions could improve patient self-management ability,quality of life,medication compliance,and improve their psychological and nutritional status.Conclusion The research on self-management intervention in patients with hematopoietic stem cell transplantation is still in the development stage,and its positive effect has been preliminarily verified.Medical staff should strengthen the self-management evaluation of patients with hematopoietic stem cell transplantation,play the role of multidisciplinary team,use electronic health intervention methods,and formulate multi-level,scientific and effective self-management intervention programs.

Objective:To determine the accuracy and clinical application of donor HLA quartile genotyping based upon transplanted kidney biopsy.Methods:The clinical and follow-up data are retrospectively reviewed for 38 recipients of kidney transplantation(KT)at First Affiliated Hospital of Xi'an Jiaotong University from 2019 to 2022.They are suspected of rejection.HLA quartile genotyping of donor kidney is performed through puncture and DNA analysis by LABType SSO method.Known HLA genotypes of recipients are compared for predicting HLA genotypes of donors.Donor-specific antibody(DSA)is detected by Labscreen Single kit.And SPSS18.0 statistical software is employed for processing baseline data, donor/recipient HLA typing data, recipient DSA antibody data and transplant nephropathy parameters.Results:Among them, 12(31.58%)belonged to HLA-A, B, C, DR and DQ.Four loci are detected in 14 cases(36.84%). Three sites are detected in 10 cases(26.32%). Two sites are detected in 2 cases(5.26%)and a negative correlation exists between detected sites and transplantation time( rs=-0.707, P=0.001). The detection rate of HLA loci is 78.94%(30 cases). B: 65.78%(25 cases); C: 84.21%(32 cases); DR: 57.89%(22 cases); DQ: 100% (38 cases); HLA sites detected in puncture tissue are 89.47% consistent with the results of donor whole blood test, among which HLA-C and HLA-DQ sites are 100% consistent and HLA-A and HLA-B sites 87.50% and 90% consistent and HLA-DR sites 66.7% consistent( P<0.01). Spearman's rank correlation analysis indicated that pathological diagnosis of interstitial inflammation( rs=-0.432, P=0.017), renal tubule atrophy( rs=-0.587, P=0.001)and interstitial fibrosis( rs=-0.560, P=0.001)are correlated negatively with HLA detected sites in transplanted kidney puncture tissue.DSA is detected in 42.1% of recipients and 68.75% of recipients belonged to HLA-DQ. Conclusions:HLA typing results of puncture tissue are consistent with those of whole blood test.Time after transplantation, infiltration of transplanted nephritis cells and degree of fibrosis may influence the detection of HLA loci.Donor HLA quartile genotyping using transplanted kidney biopsy has some diagnostic values for detecting the presence of DSA.

Post-stroke cognitive impairment （PSCI） refers to a series of syndromes from mild cognitive impairment to dementia caused by stroke. The mitogen-activated protein kinases （MAPK）signaling pathway is a key pathway for transmitting cellular signals in mammals ，and p 38 is a classic branch of it. p 38 MAPK signaling pathway is involved in various pathophysiological processes such as cell growth ，differentiation，apoptosis and inflammatory response in central nervous system diseases. At present ，great progress has been made in clinical and basic experimental studies on prevention and treatment of PSCI by traditional Chinese medicine （TCM），but there is a lack of relevant systematic summary. Therefore ，this article summarizes the role of p 38 MAPK signaling pathway in PSCI and the pharmacological research progress of TCM in prevention and treatment of PSCI through p 38 MAPK signaling pathway.

Objective:To analyze the effects of infectious complications [infected pancreatic necrosis (IPN) and extra-pancreatic infection (EPI)] on the outcomes of patients with severe acute pancreatitis (SAP), and evaluate the differences in infection time, infection site and infecting species between SAP patients with infections complications.Methods:The clinical data of 66 SAP patients with combined infectious complications admitted to Xuanwu Hospital, Capital Medical University from January 2014 to December 2020 were retrospectively analyzed, and SAP patients were divided into IPN group ( n=7), EPI group ( n=14) and co-infection (EPI+ IPN) group ( n=45) according to the type of infection. Whether the study data conformed to a normal distribution was assessed by the Shapiro-Wilk test, normally distributed measures were expressed as mean ± standard deviation ( ± s), and ANOVA was used for comparison between groups; skewed measures were expressed as median (interquartile range) [ M ( Q1, Q3)], and the rank-sum test was used for comparison between groups. Bonferroni correction was used for multiple group comparisons ( P value significance level reduced to 0.017). Quantitative data were compared between groups using the χ2 test or Fisher's exact probability method. Results:There were no statistical differences between the three groups in terms of baseline data at admission (gender, age, etiology, modified CTSI score, degree of pancreatic necrosis, and number of organ failure) ( P>0.05), patients in the EPI group were referred earlier than the other two groups ( P<0.05). In clinical treatment, patients in the IPN group and co-infection group required multiple minimally invasive interventions compared with those in the EPI group ( P<0.05), and the number of patients requiring combined nutritional support, length of intensive care unit stay, and total length of hospital stay were higher in the co-infection group than in the other two groups ( P<0.05). In addition, 360 strains of pathogenic bacteria were cultured in this study, with Gram-negative bacteria being the most common, and patients with SAP were more likely to have EPI in the early stage of disease onset, with bacteremia and respiratory tract infections in the early stage (≤14 d), and bacteremia, urinary tract infections, and catheter-associated infections in the late stage (>14 d). Conclusions:Among patients with SAP, patients in the co-infection group had higher surgical intervention, nutritional support and length of hospital stay than those in the single infection group. It is advisable to prioritize EPI in SAP patients with suspected infections, and the common infectious strains in SAP patients are still predominantly Gram-negative bacteria, and clinicians need to adjust the treatment plan in a timely manner according to the changes in patients′ conditions.

Acute pancreatitis (AP) is an inflammatory disease of the pancreas. Its pathogenesis is not only related to abnormal activation of trypsinogen, but also related to calcium overload, mitochondrial dysfunction, impaired autophagy and endoplasmic reticulum stress. However, the mechanism has not been fully elucidated and needs to be further studied. Currently, there is no effective treatment for AP. It is difficult to prevent the loss of pancreatic function. An in-depth understanding of the pathophysiological mechanisms of AP may help to identify the potential therapeutic targets. Therefore, the purpose of this study is to review recent advances in the mechanism of AP in order to provide more research direction for treatment.

Malignant tumors usually have no obvious clinical symptoms in the early stage. Most patients are already in the advanced stage when they are diagnosed. Some patients have lost the opportunity for operation, resulting in poor prognosis. Therefore, how to find the best therapeutic target for such patients and improve the prognosis of patients has gradually become the focus of scholar′s attention. Recently, Kruppel-like factor (KLF) is a transcriptional regulator that can bind to the target DNA, and its family plays an important role in the occurrence and development of malignant tumors. It has also been confirmed that the KLF family affects the proliferation, differentiation and migration of tumor cells, but the specific mechanism is still not fully elucidate. Consequently, in order to further explored the effect of the KLF family on tumors, this study intends to briefly review the roles and regulatory mechanisms of the KLF family in the cell proliferation, differentiation and migration of malignant tumors, hoping to provide new target for the biological treatment of tumors.

Exosomes are extracellular vesicles containing DNA, RNA and protein. They participate in intercellular communication and play an important role in tumor growth and metastasis. Exosomes exist in a variety of body fluids. Blood, urine and cerebrospinal fluid can be separated and extracted. Exosomes derived from tumor cells have the characteristics of tumor cells. Studies have shown that exosomes are involved in many processes of tumorigenesis and development, including information transmission between tumor cells, invasion and metastasis of tumor cells. Exosomes can also be used as carriers to deliver drugs to target cells, which has the potential of targeted therapy. In the process of tumor treatment, drugs can be designed based on the targeted recognition characteristics of exosomes, so as to improve the bioavailability of anti-tumor drugs, reduce adverse reactions and enhance the therapeutic effect. The research and application of exosomes are very challenging. There is a huge heterogeneity in the types, sizes and sources of exosomes, and the production mechanism is also very complex. This paper reviews the extraction and identification methods of exosomes, and reviews the clinical application of tumor derived exosomes.