Objective: To explore the mechanism of traditional Chinese medicine(TCM) combined with regular therapy in the treatment of pneumonia with systemic inflammatory response syndrome(SIRS) in(children).Methods: Sixty-four children with pneumonia including 51 cases with SIRS complication were(randomly) divided into three groups: treatment group(regular therapy+TCM,n=26),control group Ⅰ((regular)(therapy) only,n=25) and the control groups Ⅱ(13 pneumonia children without SIRS(receiving)(routine) treatment). The dynamic changes of tumor necrosis factor-?(TNF-?),interleukin-6(IL-6) and IL-8 were measured before and after treatment in all children.Serum Creactive protein(CRP) and total white blood cell(WBC) count were measured simultaneously.Clinical symptom and sign scores were(performed)(5 days) after treatment in children with pneumonia and SIRS complication.Results: Before(treatment),serum TNF-?,IL-6,IL-8 and CRP concentrations were significantly higher in treatment group and(control) group Ⅰ than(control) group Ⅱ(all P

Background and purpose: Short tandem repeats (STR) multiplex PCR fluorescence detection technology is the most widely used DNA technology in individual identity and genetic identification. It's the most direct method to obtain accurate conclusions. However, some studies have indicated that the rate of STR mutations in tumor tissue is significantly higher than that in normal tissues or blood. This study aimed to investigate the tendency of genetic instability in 20 STR loci on autosomal and Amel loci in tumor tissue samples from lung cancer. Methods: This study, collected 75 cases of human lung cancer tissues and the adjacent normal tissues. DNA samples were extracted by tissue DNA extraction kit, amplified using MicroreaderTM 21 Direct ID System PCR amplification kit. Capillary electrophoresis was performed using API 3130 analyzer, and results were analyzed by genetic analysis software (Gene Mapper ID V3.2). Results: STR alterations were detected in 24 specimens from 75 lung cancer tissues (32%). Fifty-five alterations were detected in the frequently used 21 STR loci in total, including additional alleles 10 times, loss of heterozygosity 10 times, partial loss of heterozygosity 35 times. Partial loss of heterozygosity was the most common genetic alteration types accounting for 63.64% of the total alteration frequency. And multiple genetic alteration types could occur in the same lung cancer tissue. Among them, the highest alteration frequency occurred on D5S818 (7 times), secondly on D3S1358 and D12S391 (both 5 times), and no alterations on D2S441 and Penta E. Combining the experimental results and analysis on clinical data, this study found the statistical differences between the staging of lung cancer and the age of the patients with the STR loci alterations (P<0.05). However, the alterations did have much relationship with the classification of lung cancer and the patient's gender (P>0.05). Conclusion: STR loci of the lung cancer tissue were not stable, and the alteration occurred in the aged or high malignant degree lung cancer tissue more frequently. Meanwhile, no alteration was detected on D2S441 and Penta E. In the future research the two STR loci should be verified to determine whether they can be used as the stable STR loci in such cases by increasing the sample size.

Objective To study the influencing factors of overall survival(OS)and cancer-specific survival(CSS)in patients with hepatocellular carcinoma and pulmonary metastasis and establish nomograms to predict survival.Methods The study pop-ulation consisted of 2242 cases with a first primary hepatocellular carcinoma who presented with pulmonary metastasis at the time of diagnosis in the Surveillance,Epidemiology,and End Results(SEER)database of the National Cancer Institute from 2010 to 2016.The influencing factors of OS and CSS were evaluated by using multivariable Cox proportional hazards regression mod-els.Nomograms predicting 1-year OS and CSS were constructed.Data analysis and construction of nomograms were performed with Cox proportional hazards regression models,the Kaplan-Meier curves(log-rank test)and C-index.Results The 1-year OS and CSS rates in the cohort were 10.5％(95％CI:8.7％-12.7％)and 11.8％(95％CI:9.8％-14.2％),respectively.In multi-variable survival analysis,insurance status,small tumor,tumor stage 1-2,negative AFP,chemotherapy treatment,and surgical treatment were associated with OS.Sex,insurance status,tumor staging,AFP status,chemotherapy and surgery treatment were incorporated into the nomogram for CSS prediction.The bootstrap-corrected concordance indexes(C-indexes)predicted by nomo-gram were 0.72(95％CI:0.70-0.74)and 0.71(95％CI:0.69-0.73),which could be used to predict OS and CSS.The models were internally validated and shown to have good calibration.Conclusion The nomograms are established based on the associat-ed factors,which shows good performance in predicting survival in patients with hepatocellular carcinoma and pulmonary metas-tasis.

T cell infiltration and proliferation in tumor tissues are the main factors that significantly affect the therapeutic outcomes of cancer immunotherapy. Emerging evidence has shown that interferon-gamma (IFNγ) could enhance CXCL9 secretion from macrophages to recruit T cells, but Siglec15 expressed on TAMs can attenuate T cell proliferation. Therefore, targeted regulation of macrophage function could be a promising strategy to enhance cancer immunotherapy via concurrently promoting the infiltration and proliferation of T cells in tumor tissues. We herein developed reduction-responsive nanoparticles (NPs) made with poly (disulfide amide) (PDSA) and lipid-poly (ethylene glycol) (lipid-PEG) for systemic delivery of Siglec15 siRNA (siSiglec15) and IFNγ for enhanced cancer immunotherapy. After intravenous administration, these cargo-loaded could highly accumulate in the tumor tissues and be efficiently internalized by tumor-associated macrophages (TAMs). With the highly concentrated glutathione (GSH) in the cytoplasm to destroy the nanostructure, the loaded IFNγ and siSiglec15 could be rapidly released, which could respectively repolarize macrophage phenotype to enhance CXCL9 secretion for T cell infiltration and silence Siglec15 expression to promote T cell proliferation, leading to significant inhibition of hepatocellular carcinoma (HCC) growth when combining with the immune checkpoint inhibitor. The strategy developed herein could be used as an effective tool to enhance cancer immunotherapy.