The inhibitors of programmed death 1 (PD-1)/PD-1 ligand (PD-L1) become a highlight in tumor immunotherapy and provide a new direction for immune-targeted therapy for cancer. More and more studies have confirmed that PD-1/PD-L1 inhibitors could improve effects and be well-tolerated. Early clinical trials of PD-1 inhibitors have shown significant clinical efficacy in various solid tumours. The unique role of the PD-1 pathway in lymphoma has been found gradually. This article summarized the advancement of PD-1 in B-cell lymphoma therapy.

Objective To investigate the effects and mechanisms of valproic acid on brain edema,neurobehavioral outcome and inflammatory response after traumatic brain injury (TBI) in rats.Methods TBI animal models were established using Feeney's method.Fifty-four SD male rats,weighting 220-250 g,were randomly divided into 3 groups (n =18):sham operation group (group sham),traumatic brain injury group (group TBI) and valproic acid treatment group (group TBI + VPA).Experimental rats were treated with valproic acid (300 mg/kg,twice daily) by intraperitoneal injection.Rat behavioral outcomes were measured by modified neurologic severity score (mNSS) tests at day 1,3,and 7 after TBI.Brain water content was measured with wet-dry weight method.The blood cells infiltration into cerebral cortex were tested with immunohistochemistry staining against ED-1 for macrophage.Inflammatory cytokines (INF-γ,tumor necrosis factor-α,interleukin-6) were measured by Western blotting.The statistical analysis were performed by ANOVA and chi-square tests using the statistical software program SPSS 13.0.Results Compared with the Sham group,the levels of brain edema,mNSS and macrophage cell infiltration were significantly increased after TBI (all P =0.00).The expressions of inflammatory cytokines were also increased significantly (all P =0.00).Compared with the TBI group,TBI + VAP group had significantly lower brain water content[3day:(80.12 ±0.59)％ vs.(82.14 ±0.67)％,P=0.04;7day:(74.74 ±0.72)％ vs.(77.93 ±0.48)％,P=0.01],and mNSS scores [3 day:(10.53 ±0.32) vs.(11.74 ±0.48),P =0.02;7 day:(7.97 ± 0.32) vs.(10.73 ± 0.42),P =0.01].VPA suppressed macrophage cell infiltration into cerebral cortex [(36.44 ± 0.72) ％ vs.(25.93 ± 0.48) ％ P =0.00].Meanwhile,VPA inhibited the expressions of inflammatory cytokines (INF-γ,TNF-α,IL-6) (P ＜ 0.05).Conclusions Treatment with VPA markedly reduced brain edema and improved neurological outcomes after TBI,possibly mediated by inhibited TBI-induced cerebral inflammatory responses and macrophage cell infiltrating into cerebral cortex.

Objective To investigate the characteristics of body fluid metabolic profile in patients with kidney stones based on surface-enhanced Raman spectroscopy,and to explore its application value and provide a reference for the screening of patients with kidney stones.Methods A total of 25 patients with kidney stones and 25 healthy controls were involved.Urine and blood samples were collected,whose spectra were measured with surface-enhanced Raman spectroscopy.The mean and difference spectra were plotted with origin software.The normalized data were processed with principal component analysis combined with linear discriminant analysis(PCA-LDA).Finally,the performance of the PCA-LDA method was evaluated with the receiver operating characteristic(ROC)curve.Results The levels of phosphatidylinositol,phenylalanine,palmitic acid/fatty acids,etc.in the urine of patients with kidney stones are higher than those in healthy controls,while the levels of components such as uracil and glycogen are lower.The content of methyl bands in the plasma of patients with kidney stones is higher than that of healthy controls,while the contents of glycogen,phosphatidylinositol,protein-tyrosine,phenylalanine,palmitic acid/fatty acid,hydroxyproline/tyrosine,and lipids are lower than those of healthy controls.Conclusion Surface-enhanced Raman spectroscopy can identify the changes in various metabolites in patients with kidney stones,and the combination of PCA-LDA and ROC analysis is helpful for the screening of patients.

Objective To determine the predictive parameters of impacted ureteral stones and evaluate the predictive value of ureteral wall thickness for impacted ureteral stones.Methods A total of 93 patients with proximal ureteral stones from January 2017 to December 2017 were included in the study [71 males and 22 females,aged 30-80 years,and body mass index (23.7 ± 2.7) kg/m2].Both clinical and computed tomography urography (CTU) data were compared between patients with or without impacted ureteral stone,including sex,age,body mass index,renal pelvic diameter,longitudinal size of stone,transverse size of stone,stone surface area,stone volume,hounsfield units of stone,diameter of the ureter proximal to the stone,and ureteral wall thickness at the impacted ureteral stone site.The receiver operating characteristic curve (ROC) was used to analyze the performance of each of the above-mentioned parameters for predicting the impacted ureteral stones.Multivariate logistic regression analysis was used to select the independent risk factors of impacted ureteral stones.Results Among 93 patients,38 (40.8％) patients were with impacted stones and 55 (59.1％) without impacted stones.Univariate analysis showed significant difference in ureteral wall thickness (t =6.344,P ＜ 0.001),diameter of the ureter proximal to the stone (U =607.5,P =0.001),longitudinal size of stone(U =580.5,P ＜0.001),transverse size of stone(t =4.172,P ＜0.001),stone surface area(U =508.5,P ＜ 0.001),stone volume (U =508.5,P ＜ 0.001) and hounsfield units of stone (t =6.344,P =0.006) between patients with or without impacted stones.Ureteral wall thickness(UWT)showed the largest area under curve (AUC) among those parameters (AUC =0.825,P ＜ 0.001),followed by stone surface area and stone volume.The optimal cut-off value of ureteral wall thickness was 3.16 mm,with sensitivity of 71.1％ and specificity of 85.5％.Multivariate analysis showed that ureteral wall thickness (Wald =18.709,P ＜ 0.001) and stone volume (Wald =8.391,P =0.004) were independent predictors of impacted stones.Conclusion Ureteral wall thickness was related to the presence of impacted ureteral stones and could be used for predicting impacted ureteral stones.

【Objective】 To explore the expression and clinical significance of prostate cancer tissue-specific lncRNAs. 【Methods】 The gene differences of 492 prostate cancer tissues and 152 adjacent tissues in TCGA and GEO genomic databases were analyzed with bioinformatics methods. A total of 5 lncRNAs were screened out, and their specificity in prostate tissues and impact on the prognosis of patients were analyzed. 【Results】 The 5 lncRNAs included PCAT14, PCA3, CTBP1-AS, DRAIC, and GPC5-AS1. PCAT14 and PCA3 were specifically expressed in prostate cancer tissues, and elevated expression was related to the prognosis. Moreover, they were well correlated with prostate cancer-specific antigens such as KLK3, AMACR, SLC45A3, and so on. GO function enrichment analysis and KEGG pathway enrichment analysis showed that the differential expression of PCA3 was closely related to phagocytosis, cell recognition, defense response to bacteria, immunoglobulin complex, Golgi apparatus, antigen binding, chemokine receptor binding, white matter digestion and absorption, renin-angiotensin system and other signaling pathways, while the differential expression of PCAT14 was closely related to the activity of Golgi apparatus and ion channels, renin secretion, cAMP signaling pathway, and gonadotropin secretion-related signaling pathway. 【Conclusion】 PCA3 and PCAT14 are specifically expressed in prostate cancer tissues, not in normal tissues, which can be used as potential indicators for the diagnosis of prostate cancer.