Chemotherapy is one of the primary treatment for malignant tumors.Platinum drugs as the most commonly used cycle non-specific clinical antitumor drugs show good curative effect in the clinical treatment of solid tumors,however,resistance or cross-resistance of theplatinum analogous has become one of the main obstacles for platinum and its analogous,which limits their clinical applications.miRNAs play an important role in biology,including cell proliferation,differentiation,apoptosis,stress tolerance,and physiological metabolism.There is a close relationship between miRNAs target gene regulation and tumor drug-resistance.This article is mainly about the role of miRNAs in tumor of platinum resistance.

Objective The purpose of this study was to review all published reports on thoracic/ abdominal stent graft and investigate the incidence rates of six main adverse events(MAEs):myocardial infarction,paraplegia,renal failure,respiratory failure,stroke and all-cause mortality.Methods Electronic databases(PubMed、Embase、OVID、ProQuest、Elsevier and The Cochrane Library) were searched from inception through May 2014 to identify studies that assessed the safety of thoracic/abdominal aortic coated stents on MAEs.The incidence rates with 95％ confidence intervals(95％ CIs) were derived using a random effects model,considering the heterogeneity between the included studies.Subgroup and sensitivity analyses were applied to explore heterogeneity.Results A total of 152 studies were included in the analysis with 264 arms.For thoracic stent graft,meta-analysis yielded a combined estimated incidence rates of 12.2％,and the most common MAEs was all-cause mortality (8.1％),followed by respiratory failure (6.5 ％).For abdominal stent graft,meta-analysis yielded a combined estimated incidence rates of 4.6％,and the most common MAEs was all-cause mortality(4.0％),followed by myocardial infarction(2.1％).For thoracic and abdominal stent graft,subgroup analysis stratified by age and proportion of males indicated that middle-aged and females have a higher incidence rates of all-cause mortality.Besides,subgroup analysis stratified by follow-up time indicated that the longer follow-up time,the higher incidence rate of all-cause mortality.Conclusion The current evidence indicates that the incidence of MAEs of thoracic and abdominal stent graft is high,and we should pay more attention to the patients and follow up them as long as possible.

Objective Find abnormal changes of plasma lipid metabolism-related proteins before 20 weeks of gestation in patients with hypertensive disorder of pregnancy(HDP), and preliminarily investigate the role of plasma apolipoprotein C4 elevation in HDP. Methods A nested case-control study was used. The plasma were collected from pregnant women who underwent routine prenatal examination in Guangzhou Women and Children's Medical Center from November 2014 to March 2017. Label-free mass spectrometry was used to detect the differences in plasma lipid metabolism-related proteins before 20 weeks of gestation between 12 pairs of HDP patients and normal controls, and different 48 pairs of samples were used for verification. The protein with the most significant difference multiples was screened to study its effects on monolayer permeability and nitric oxide secretion of endothelial cells. One-way ANOVA was used for comparison between groups, and P<0.05 was considered as statistically significant difference. Results Compared with the control, the lipid metabolism-related proteins, APOC4, Fatty acid-binding protein 4 (FABP4), Apolipoprotein E (APOE), Apolipoprotein C3 (APOC3) and Beta-2-glycoprotein 1(APOH) raised to 1.94, 1.82, 1.59, 1.55 and 1.38 times, phospholipid transfer protein (PLTP) decreased to 0.78 times in plasma before 20 weeks of pregnancy of patients with HDP (t value were 2.499, 2.497, 2.081, 2.098, 2.426 and 2.564, respectively, P<0.05). Cell experiments results showed that 50 ng / ml APOC4 significantly increased 20％ HUVEC single layer cell permeability to FITC-labeled dextran (F=455.4, P<0.01), and significantly decreased the level of nitric oxide in the supernatant of HUVEC culture by 25％ (F=61.92, P<0.01). Conclusions Before diagnosis, plasma protein levels involved in lipid metabolism in HDP patients have been changed, resulting in abnormal lipid metabolism. APOC4 can increase the permeability of vascular endothelial cells, inhibit endothelial source of NO secretion, cause endothelial dysfunction.

Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.

Objective:In general, patients with seropositive rheumatoid arthritis (RA) are considered to show an aggressive disease course. However, the relationship between the two subgroups in disease severity is controversial. Our study is aimed to compare the clinical characteristics and prognosis of double-seropositive and seronegative RA in China through a real-world large scale study.Methods:RA patients who met the 1987 American College of Rheumatology (ACR) classification criteria or the 2010 ACR/European Anti-Rheumatism Alliance RA classification criteria, and who attended the 10 hospitals across the country from September 2015 to January 2020, were enrolled. According to the serological status, patients were divided into 4 subgroups [rheumatoid factor (RF)(-) anti-cyclic citrullinated peptide (CCP) antibody (-), RF(+), RF(+) anti-CCP antibody(+), anti-CCP antibody(+)] and compared the disease characteristics and treatment response. One-way analysis of variance was used for measurement data that conformed to normal distribution, Kruskal-Wallis H test was used for measurement data that did not conform to normal distribution; paired t test was used for comparison before and after treatment within the group if the data was normally distributed else paired rank sum test was used; χ2 test was used for count data. Results:① A total of 2 461 patients were included, including 1 813 RF(+) anti-CCP antibody(+) patients (73.67%), 129 RF(+) patients (5.24%), 245 RF(-) anti-CCP antibody(-) patients (9.96%), 74 anti-CCP antibody(+) patients (11.13%). ② Regardless of the CCP status, RF(+) patients had an early age of onset [RF(-) anti-CCP antibody(-) (51±14) years old, anti-CCP antibody(+) (50±15) years old, RF(+) anti-CCP antibody(+) (48±14) years old, RF(+)(48±13) years old, F=3.003, P=0.029], longer disease duration [RF(-) anti-CCP antibody(-) 50 (20, 126) months, anti-CCP antibody(+) 60(24, 150) months, RF(+) anti-CCP antibody(+) 89(35, 179) months, RF(+) 83(25, 160) months, H=22.001, P<0.01], more joint swelling counts (SJC) [RF(-) anti-CCP antibody(-) 2(0, 6), Anti-CCP antibody(+) 2(0, 5), RF(+) anti-CCP antibody(+) 2(0, 7), RF(+) 2(0, 6), H=8.939, P=0.03] and tender joint counts (TJC) [RF(-) anti-CCP antibody(-) 3(0, 8), anti-CCP antibody(+) 2(0, 6), RF(+) anti-CCP antibody(+) 3(1, 9), RF(+) 2(0, 8), H=11.341, P=0.01] and the morning stiff time was longer [RF(-) anti-CCP antibody(-) 30(0, 60) min, anti-CCP antibody(+) 20(0, 60) min, RF(+) anti-CCP antibody(+) 30(10, 60) min, RF(+) 30(10, 60) min, H=13.32, P<0.01]; ESR [RF(-) anti-CCP antibody(-) 17(9, 38) mm/1 h, anti-CCP antibody(+) 20(10, 35) mm/1 h, RF(+) anti-CCP antibody(+) 26(14, 45) mm/1 h, RF(+) 28(14, 50) mm/1 h, H=37.084, P<0.01] and CRP [RF(-) anti-CCP antibody(-) 2.3 (0.8, 15.9) mm/L, Anti-CCP antibody(+) 2.7(0.7, 12.1) mm/L, RF(+) anti-CCP antibody(+) 5.2(1.3, 17.2) mm/L, RF (+) 5.2(0.9, 16.2) mm/L, H=22.141, P<0.01] of the RF(+)patients were significantly higher than RF(-) patients, and RF(+) patients had higher disease severity(DAS28-ESR) [RF(-) anti-CCP antibody(-) (4.0±1.8), anti-CCP antibody(+) (3.8±1.6), RF(+) anti-CCP antibody(+) (4.3±1.8), RF(+) (4.1±1.7), F=7.269, P<0.01]. ③ The RF(+) anti-CCP antibody(+) patients were divided into 4 subgroups, and it was found that RF-H anti-CCP antibody-L patients had higher disease severity [RF-H anti-CCP antibody-H 4.3(2.9, 5.6), RF-L anti-CCP antibody-L 4.5(3.0, 5.7), RF-H anti-CCP antibody-L 4.9(3.1, 6.2), RF-L anti-CCP antibody-H 2.8(1.8, 3.9), H=20.374, P<0.01]. ④ After 3-month follow up, the clinical characteristics of the four groups were improved, but there was no significant difference in the improvement of the four groups, indicating that the RF and anti-CCP antibody status did not affect the remission within 3 months. Conclusion:Among RA patients, the disease activity of RA patients is closely related to RF and the RF(+) patients have more severe disease than RF(-) patients. Patients with higher RF titer also have more severe disease than that of patients with low RF titer. After 3 months of medication treatment, the antibody status does not affect the disease remission rate.

OBJECTIVE To study the vasorelaxant effects and mechanism of polyphenol compound 2，4′，5′-trihydroxy-5，2′- dibromo-diphenyl-methanone（LM49）on isolated aortic rings of rats. METHODS Thoracic aortic vascular rings of rats were collected. Using the diastolic rate as index ， the effects of different concentrations of LM 49 on endothelium-intact and endothelium-denuded aortic rings pre-contracted by norepinephrine （NE，1×10－6 mol/L）or KCl （60 mmol/L）were investigated. After pre-culturing vascular rings by nitric oxide synthase inhibitor L-nitro-arginine methyl ester （L-NAME，0.1 mmol/L） and cyclooxygenase inhibitor indomethacin （1×10－5 mol/L），as well as pre-culturing vascular rings by 4 potassium channel blockers [BaCl 2（0.1 mmol/L），tetraethylammonium（TEA，5 mmol/L），4-aminopyridine（4-AP，0.1 mmol/L）and glibenclamide （1×10－5 mol/L）]，the vasorelaxant effect of different concentrations of LM 49 on the vascular rings were investigated by using the same method. With the percentage of vasoconstriction as the index ，using KCl （60 mmol/L），NE（1×10－6 mol/L），calcium channel blocker verapamil （1×10－6 mol/L）and sarcoplasmic Δ 基金项目 重大新药创制国家科技重大专项 （No.2018ZX097- reticulum Ca 2 +-adenosine triphosphate （ATP） enzyme pump inhibitor thacarotene （TG，1×10－6 mol/L）to induce the release of calcium in vascular rings in the absence of calcium. CaCl was added cumulatively ，and the effect of LM 49 on the cxyw06，vasoconstriction caused by calcium influx induced by CaCl 2 was investigated. RESULTS 3×10－6，5×10－6，1×10－5 mol/L LM49 had a significant relaxation effect on NE and KCl precontracted vascular rings （P＜0.01）； whether the endothelium was removed or not had no significant effect on the vasodilation of LM 49（P＞0.05）. After L-NAME ，indomethacin， TEA and 4-AP was pre-incubated ，different concentrations of LM 49 had no significant effects on aortic rings precontracted by NE （P＞0.05）. Glibenclamide and BaCl 2 could inhibit the vasorelaxant effects of LM 49 on aortic rings precontracted by NE （P＜0.01）. In the absence of calcium ，LM49 could inhibit the contraction caused by calcium influx induced by accumulated CaCl 2 after pre-incubation with KCl ，NE，verapamil and TG （P＜0.01）. CONCLUSIONS LM49 evokes significant relaxation of isolated aortic vascular rings without endothelium dependence ；the mechanism of which is inducing ATP-sensitive potassium channel ， inward rectifier potassium channel open and restraining extracellular Ca 2 + influx via voltage-gated calcium channel ， receptor-operated calcium channel and store-operated calcium channel.

The chemical complexity of traditional Chinese medicines (TCMs) makes the active and functional annotation of natural compounds challenging. Herein, we developed the TCMs-Compounds Functional Annotation platform (TCMs-CFA) for large-scale predicting active compounds with potential mechanisms from TCM complex system, without isolating and activity testing every single compound one by one. The platform was established based on the integration of TCMs knowledge base, chemome profiling, and high-content imaging. It mainly included: (1) selection of herbal drugs of target based on TCMs knowledge base; (2) chemome profiling of TCMs extract library by LC‒MS; (3) cytological profiling of TCMs extract library by high-content cell-based imaging; (4) active compounds discovery by combining each mass signal and multi-parametric cell phenotypes; (5) construction of functional annotation map for predicting the potential mechanisms of lead compounds. In this stud TCMs with myocardial protection were applied as a case study, and validated for the feasibility and utility of the platform. Seven frequently used herbal drugs (Ginseng, etc.) were screened from 100,000 TCMs formulas for myocardial protection and subsequently prepared as a library of 700 extracts. By using TCMs-CFA platform, 81 lead compounds, including 10 novel bioactive ones, were quickly identified by correlating 8089 mass signals with 170,100 cytological parameters from an extract library. The TCMs-CFA platform described a new evidence-led tool for the rapid discovery process by data mining strategies, which is valuable for novel lead compounds from TCMs. All computations are done through Python and are publicly available on GitHub.