扶正消瘤颗粒对原发性肝癌血清中VEGF、HIF-1α表达的影响及临床意义＊

目的 探讨扶正消瘤颗粒对原发性肝癌血清中血管内皮生长因子（Vascular endothelial growth factor，VEGF）和缺氧诱导因子-1α（Hypoxia inducible factor-1α，HIF-1α）表达的影响及临床意义。方法 选择符合纳入标准的原发性肝癌患者66例，按1∶1随机分试验组和对照组。观察治疗过程中两组VEGF、HIF-1α水平的变化及对患者临床疗效指标的影响。结果 （1）在性别、年龄、合并乙型肝炎、Child-Pugh分级、AFP值、临床分期方面，试验组和对照组差异无统计学意义（P > 0.05）。（2）肝癌患者在治疗各时间节点的VEGF和HIF-1α表达水平呈线性正相关（r = 0.829，P < 0.001）。（3）VEGF浓度在经导管动脉化疗栓塞术（Transcatheter arterial chemoembolization，TACE）后3月降至术前水平（P > 0.05），HIF-1α在TACE后3月仍高于术前（P < 0.05）。（4）扶正消瘤颗粒可降低HIF-1α水平，下调VEGF的表达。（5）扶正消瘤颗粒可减少TACE序贯RFA治疗后的不良反应，提高患者的生活质量（P < 0.05）。（6）血清中VEGF水平与生活质量无明显相关性（P > 0.05，r = 0.251），HIF-1α水平与生活质量存在正相关性（P < 0.05，r = 0.450）。结论 扶正消瘤颗粒可明显改善TACE序贯RFA治疗后患者生活质量，降低HIF-1α水平，下调VEGF的表达，抑制肿瘤血管生成。     

Improvements in epidermal function prevent relapse of psoriasis: a self‐controlled study

While therapeutic approaches for psoriasis are widely available, preventive regimens are lacking. We aimed to determine whether improvements in epidermal function could prevent psoriasis relapse. Two self‐controlled cohort studies were designed, enrolling two cohorts of patients with psoriasis (n = 30 and n = 60) to be treated topically with an in‐house‐prepared emollient or ATOPALM^® cream applied twice daily to one forearm for 20 and 30 days, respectively, while the same sites on the contralateral arm served as the untreated control. Epidermal function on both arms was assessed prior to and at the end of the trials. Delayed relapse on the treated arm was seen in 54.5% and 71% of patients in the first and second cohort, respectively. The time of psoriatic relapse correlated with the extent of abnormalities in baseline epidermal function. These results suggest that improvements in epidermal function with topical emollients can prevent/attenuate the development of psoriasis.     

Investigation of the mechanisms of Genkwa Flos hepatotoxicity by a cell metabolomics strategy combined with serum pharmacology in HL-7702 liver cells

1. To investigate Genkwa Flos hepatotoxicity, a cell metabolomics strategy combined with serum pharmacology was performed on human HL-7702 liver cells in this study.

2. Firstly, cell viability and biochemical indicators were determined and the cell morphology was observed to confirm the cell injury and develop a cell hepatotoxicity model. Then, with the help of cell metabolomics based on UPLC-MS, the Genkwa Flos group samples were completely separated from the blank group samples in the score plots and seven upregulated as well as two down-regulated putative biomarkers in the loading plot were identified and confirmed. Besides, two signal molecules and four enzymes involved in biosynthesis pathway of lysophosphatidylcholine and the sphingosine kinase/sphingosine-1-phosphate pathway were determined to investigate the relationship between Genkwa Flos hepatotoxicity and these two classic pathways. Finally, the metabolic pathways related to specific biomarkers and two classic metabolic pathways were analyzed to explain the possible mechanism of Genkwa Flos hepatotoxicity.

3. Based on the results, lipid peroxidation and oxidative stress, phospholipase A₂/lysophosphatidylcholine pathway, the disturbance of sphingosine-1-phosphate metabolic profile centered on sphingosine kinase/sphingosine-1-phosphate pathway and fatty acid metabolism might be critical participators in the progression of liver injury induced by Genkwa Flos.     

Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout,with applications to quality of life measurements from clinical trials

The analysis of quality of life (QoL) data can be challenging due to the skewness of responses and the presence of missing data. In this paper, we propose a new weighted quantile regression method for estimating the conditional quantiles of QoL data with responses missing at random. The proposed method makes use of the correlation information within the same subject from an auxiliary mean regression model to enhance the estimation efficiency and takes into account of missing data mechanism. The asymptotic properties of the proposed estimator have been studied and simulations are also conducted to evaluate the performance of the proposed estimator. The proposed method has also been applied to the analysis of the QoL data from a clinical trial on early breast cancer, which motivated this study.     

医学生人格特质与共情能力的相关性研究

目的  测评医学生的共情能力现状，探讨人格特质对其共情能力的影响,为培养医学生的共情能力提供对策。方法  以上海市3所高校临床医学专业学生为研究对象，采用班级整群抽样的方式进行问卷调研。采用杰斐逊共情量表-医学生版（JSPE-S）和大五人格量表（NEO-FFI）分别评估医学生的共情和人格特质。结果  共发放问卷2 020份，回收有效问卷1 958份，有效率为96.93%。医学生的共情能力总分均值为（103.24±14.35）。共情能力总分与大五人格中的“外向性”“开放性”“宜人性”“严谨性”维度呈显著正相关（r=0.154~0.406, P<0.01），与大五人格中的“神经质”维度呈显著负相关（r=-0.175, P<0.01）。分层回归结果表明：“共情重要性”和“大五人格”量表的5个维度进入回归方程。其中，人格因素占可解释方差变异量的16.2%（P<0.01）。结论  我国医学生的共情能力低于国外医学生，重视人格特质的塑造有助于提高其共情能力。     

Growth of the Social #RadOnc Network on Twitter

PurposeTwitter is an increasingly popular social media platform within the health care community. The objective of this analysis is to characterize the profile of radiation oncology–related tweets and Twitter users over the past 6 years.Methods and MaterialsUsing the web-based social media analytics platform Symplur Signals, we filtered tweets containing at least 1 of the following hashtags or key words: #radonc, #radiationoncology, "rad onc," or "radiation oncology." We evaluated radiation oncology–related Twitter activity between October 2014 and March 2020 for tweet frequency, tweet content, and individuals or groups posting tweets. We identified the most influential Twitter users contributing to radiation oncology–related tweets.ResultsFrom 2014 to 2020, the quarterly volume of radiation oncology–related tweets increased from 5027 to 29,763. Physicians contributed the largest growth in tweet volume. Academic radiation oncologists comprise 60% of the most influential Twitter accounts responsible for radiation oncology–related content. The number of radiation-oncology resident physicians on Twitter increased from 25 to 328 over the past 6 years, and 20% of radiation-oncology residency programs have a Twitter account. Seventy-one percent of radiation oncology–related tweets generated direct communication via mentions, and 59% of tweets contain links to external sources, including scientific articles.ConclusionsThe number of physicians contributing radiation oncology–related Twitter content has increased significantly in recent years. Academic radiation oncologists are the primary influencers of radiation oncology–related Twitter activity. Twitter is used by radiation oncologists to both professionally network and discuss findings related to the field. There remains the opportunity for radiation oncologists to broaden their audience on Twitter to encompass a more diverse community, including patients.