沙利度胺联合TACE治疗原发性肝癌疗效与安全性的系统评价

目的:系统评价沙利度胺(thalidomide,TLD)联合肝动脉化疗栓塞术(transcatheter arterial chemoembolization,TACE)治疗原发性肝癌(primary hepatic carcinomas,PHC)的疗效和安全性.方法:计算机检索Cochrane Library(2014年第3期)、Web of Science(1986/2014-03)、Pub Med(1966/2014-03)、CNKI(1917/2014-03)、维普(1989/2014-03)、万方数据库(1998/2014-03),收集所有TLD联合TACE治疗PHC的随机对照试验.由两名评价员严格按照纳入标准选择文献,提取资料,并参照Cochrane系统评价的要求,对选择纳入的随机对照试验进行方法学质量评估后,采用Cochrane协作网提供的Rev Man 5.2软件对总有效率、疾病控制率、生活质量KPS评分、不同年限生存率、甲胎蛋白的变化、血管内皮生长因子(vascular endothelial growth factor,VEGF)的变化及不良反应发生率进行Meta分析.结果:最终纳入22项随机对照试验,包括1590例PHC患者,Meta分析结果显示,TLD联合TA C E组治疗P H C的总有效率(R R合并=1.29,95%C I:1.15-1.44)、疾病控制率(R R合并=1.27,95%CI:1.16-1.39)、生活质量KPS评分(MD合并=9.23,95%CI:6.90-11.55)、半年生存率(RR合并=1.10,95%C I:1.01-1.20)、1年生存率(RR合并=1.25,95%C I:1.13-1.39)、2年生存率(RR合并=1.45,95%CI:1.18-1.78)、3年生存率(R R合并=1.7 0,9 5%C I:1.1 6-2.5 0)、V E G F水平的变化(M D合并=-123.64,95%C I:-143.72--103.55)优于单纯TACE组,差异有统计学意义(均P0.05);不良反应发生率:在药物性皮疹发生率方面,TLD联合TACE组明显高于单纯TACE组,差异有统计学意义(RR=4.50,95%CI:2.34-8.64,P0.00001);在减少消化系应发生率(RR=1.08,95%CI:0.93-1.25)、降低骨髓抑制发生率(RR=1.12,95%CI:0.82-1.52)、降低肝功能异常发生率方面(R R=1.00,95%C I:0.72-1.39),T L D联合TA C E组与单纯TA C E组相近似,差异无统计学意义(均P0.05).结论:目前研究显示,与单纯TACE疗法相比,TLD联合TACE治疗PHC在总有效率、疾病控制率、生活质量KPS评分、半年生存率、1、2、3年生存率、降低V E G F方面具有明显的优势,但在安全性方面,TLD联合TACE组在药物性皮疹发生率方面明显高于单纯TACE组,而在消化系反应、骨髓抑制率、肝功能异常方面与单纯TACE组相似.     

HIFα Regulates Developmental Myelination Independent of Autocrine Wnt Signaling

The developing CNS is exposed to physiological hypoxia, under which hypoxia-inducible factor α (HIFα) is stabilized and plays a crucial role in regulating neural development. The cellular and molecular mechanisms of HIFα in developmental myelination remain incompletely understood. A previous concept proposes that HIFα regulates CNS developmental myelination by activating the autocrine Wnt/β-catenin signaling in oligodendrocyte progenitor cells (OPCs). Here, by analyzing a battery of genetic mice of both sexes, we presented in vivo evidence supporting an alternative understanding of oligodendroglial HIFα-regulated developmental myelination. At the cellular level, we found that HIFα was required for developmental myelination by transiently controlling upstream OPC differentiation but not downstream oligodendrocyte maturation and that HIFα dysregulation in OPCs but not oligodendrocytes disturbed normal developmental myelination. We demonstrated that HIFα played a minor, if any, role in regulating canonical Wnt signaling in the oligodendroglial lineage or in the CNS. At the molecular level, blocking autocrine Wnt signaling did not affect HIFα-regulated OPC differentiation and myelination. We further identified HIFα–Sox9 regulatory axis as an underlying molecular mechanism in HIFα-regulated OPC differentiation. Our findings support a concept shift in our mechanistic understanding of HIFα-regulated CNS myelination from the previous Wnt-dependent view to a Wnt-independent one and unveil a previously unappreciated HIFα–Sox9 pathway in regulating OPC differentiation.SIGNIFICANCE STATEMENT Promoting disturbed developmental myelination is a promising option in treating diffuse white matter injury, previously called periventricular leukomalacia, a major form of brain injury affecting premature infants. In the developing CNS, hypoxia-inducible factor α (HIFα) is a key regulator that adapts neural cells to physiological and pathologic hypoxic cues. The role and mechanism of HIFα in oligodendroglial myelination, which is severely disturbed in preterm infants affected with diffuse white matter injury, is incompletely understood. Our findings presented here represent a concept shift in our mechanistic understanding of HIFα-regulated developmental myelination and suggest the potential of intervening with an oligodendroglial HIFα-mediated signaling pathway to mitigate disturbed myelination in premature white matter injury.     

数字化设计结合3D打印技术精准治疗复杂肩胛骨骨折的应用研究

目的 探讨应用数字化设计结合3D打印骨骼模型的个体化、精确化的手术治疗方案应用于复杂肩胛骨骨折患者的临床疗效。方法 对东莞市石排医院骨科2018年6月至2020年6月40例复杂肩胛骨骨折患者进行随机分组。其中，试验组20例，肩关节螺旋CT扫描，将所得DICOM格式数据导入Mimics 15.0软件重建复杂肩胛骨骨折三维模型，并对相应骨折块进行模拟平移、旋转等操作，将骨折端进行虚拟复位。应用3D打印技术获得患者复位后的肩胛骨骨折模型。根据模型进行术前规划，塑形钢板后进行手术治疗。对照组20例，采用传统切开复位内固定方式进行治疗。记录手术中相关数据，术后复查X光线及CT，与术前设计相比对，采用Hardegger肩关节功能评分评定疗效。结果 全部病例均获得5 ～ 13个月的随访，试验组手术时间与术中出血量均较对照组更少，差异有统计学意义（P<0.05）。两组骨折愈合时间差异无统计学意义（P>0.05）。末次随访，试验组优良率95%（19/20），对照组优良率为65%（13/20），两组临床效果对比，差异有统计学意义（P<0.05）。结论 应用数字化设计结合3D打印技术，为复杂肩胛骨骨折患者制定治疗方案，可满足微创化、精确化、个体化的要求，继而可以有效减少手术创伤、缩短手术时间、降低手术操作难度，为患者更快、更好地恢复肩关节功能创造有利的条件。     

Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

BACKGROUND AND PURPOSE:The coronavirus disease 2019 (COVID-19) pandemic has led to decreases in neuroimaging volume. Our aim was to quantify the change in acute or subacute ischemic strokes detected on CT or MR imaging during the pandemic using natural language processing of radiology reports.MATERIALS AND METHODS:We retrospectively analyzed 32,555 radiology reports from brain CTs and MRIs from a comprehensive stroke center, performed from March 1 to April 30 each year from 2017 to 2020, involving 20,414 unique patients. To detect acute or subacute ischemic stroke in free-text reports, we trained a random forest natural language processing classifier using 1987 randomly sampled radiology reports with manual annotation. Natural language processing classifier generalizability was evaluated using 1974 imaging reports from an external dataset.RESULTS:The natural language processing classifier achieved a 5-fold cross-validation classification accuracy of 0.97 and an F1 score of 0.74, with a slight underestimation (−5%) of actual numbers of acute or subacute ischemic strokes in cross-validation. Importantly, cross-validation performance stratified by year was similar. Applying the classifier to the complete study cohort, we found an estimated 24% decrease in patients with acute or subacute ischemic strokes reported on CT or MR imaging from March to April 2020 compared with the average from those months in 2017–2019. Among patients with stroke-related order indications, the estimated proportion who underwent neuroimaging with acute or subacute ischemic stroke detection significantly increased from 16% during 2017–2019 to 21% in 2020 (P = .01). The natural language processing classifier performed worse on external data.CONCLUSIONS:Acute or subacute ischemic stroke cases detected by neuroimaging decreased during the COVID-19 pandemic, though a higher proportion of studies ordered for stroke were positive for acute or subacute ischemic strokes. Natural language processing approaches can help automatically track acute or subacute ischemic stroke numbers for epidemiologic studies, though local classifier training is important due to radiologist reporting style differences.

There is much concern regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on the quality of stroke care, including issues with hospital capacity, clinical resource re-allocation, and the safety of patients and clinicians.^1,2 Previous reports have shown that there have been substantial decreases in stroke neuroimaging volume during the pandemic.^3,4 In addition, acute ischemic infarcts have been found on neuroimaging studies in many hospitalized patients with COVID-19, though the causal relationship is unclear.^5,6 Studies like these and other epidemiologic analyses usually rely on the creation of manually curated databases, in which identification of cases can be time-consuming and difficult to update in real-time. One way to facilitate such research is to use natural language processing (NLP), which has shown utility for automated analysis of radiology report data.⁷ NLP algorithms have been developed previously for the classification of neuroradiology reports for the presence of ischemic stroke findings and acute ischemic stroke subtypes.^8,9 Thus, NLP has the potential to facilitate COVID-19 research.In this study, we developed an NLP machine learning model that classifies radiology reports for the presence or absence of acute or subacute ischemic stroke (ASIS), as opposed to chronic stroke. We used this model to quantify the change in ASIS detected on all CT or MR imaging studies performed at a large comprehensive stroke center during the COVID-19 pandemic in the United States. We also evaluated NLP model generalizability and different training strategies using a sample of radiology reports from a second stroke center.     

Different expression levels of exosomal miR-503 in peritoneal dialysis effluent from patients of different peritoneal transport characteristics and bioinformatics analysis

Objective To compare the expression level of exosomal miR-503 in peritoneal dialysis effluent (PDE) from patients of different peritoneal transport characteristics, predict the target genes of miR-503 and provide bioinformatic data for researches of peritoneal transport characteristics. Methods Twenty-four stable peritoneal dialysis (PD) patients were selected and divided into high transport group (H group, n=12) and low transport group (L group, n=12) according to the results of peritoneal equilibration tests (PET). The 500 ml PDE that was left on the patient's abdomen overnight was collected and concentrated using ultrafiltration cell. Exosomes in PDE were resuspended in phosphate buffered saline (PBS) after ultracentrifugation and the characteristics of PDE exosomes were identified by transmission electron microscope (TEM), nanoparticle tracking analysis (NTA), Western blotting and fluorescent staining. MicroRNAs were extracted from PDE exosomes. The expression levels of PDE exosomal miR-503 in the two groups were detected by quantitative real-time PCR. Then the relations between the relative quantity of PDE exosomal miR-503 and PET values or 24 h ultrafiltration volume (UF) were analyzed. Targetscan and miRDB databases were used to predict the target genes of miR-503. Gene ontology (GO) functional enrichment and Kyoto encyclopedia of genes and genomes (KEGG) signaling pathway analysis were relied on DAVID (https://david.ncifcrf.gov/). Results The exosomes in PDE showed a round and cup-shaped morphology under TEM, and the diameters were approximately 100 nm measured by NTA. The specific biomarkers of exosomes, CD63, CD81 and heat shock protein -70 (HSP-70) were all detected by Western blotting. The internalization and uptake of the exosomes was observed after fluorescent staining. The relative expression level of PDE exosomal miR-503 in H group was found to be significantly higher than that in L group (P=0.002), and the relative quantity of PDE exosomal miR-503 was significantly positively correlated with PET values (r=0.547, P=0.006), but not 24 h UF (r=-0.297, P=0.159). There were 156 target genes of miR-503 in total that could be predicted by two different databases at the same time. GO analysis of these 156 target genes was mainly focused on kinase binding, regulation of protein modification and catabolic process as well as regulation of epithelial cell proliferation. KEGG enriched many tumor associated or classical signaling pathways, including transforming growth factor-β (TGF-β) signaling pathway and vascular endothelial growth factor (VEGF) signaling pathway. The prediction showed that vascular endothelial growth factor A (VEGFA) was a direct target gene of miR-503 and it was also related to many proteins involved in fibrosis mechanism. Conclusions The expression level of PDE exosomal miR-503 is significantly higher in H group, and positively correlates with PET values, which may regulate the angiogenesis of peritoneal vessels by targeting VEGFA.     

Reprograming the tumor immunologic microenvironment using neoadjuvant chemotherapy in osteosarcoma

Tumor‐infiltrating immune cells play a crucial role in tumor progression and response to treatment. However, the limited studies on infiltrating immune cells have shown inconsistent and even controversial results for osteosarcoma (OS). In addition, the dynamic changes of infiltrating immune cells after neoadjuvant chemotherapy are largely unknown. We downloaded the RNA expression matrix and clinical information of 80 OS patients from the TARGET database. CIBERSORT was used to evaluate the proportion of 22 immune cell types in patients based on gene expression data. M2 macrophages were found to be the most abundant immune cell type and were associated with improved survival in OS. Another cohort of pretreated OS samples was evaluated by immunohistochemistry to validate the results from CIBERSORT analysis. Matched biopsy and surgical samples from 27 patients were collected to investigate the dynamic change of immune cells and factors before and after neoadjuvant chemotherapy. Neoadjuvant chemotherapy was associated with increased densities of CD3+ T cells, CD8+ T cells, Ki67 + CD8+ T cells and PD‐L1+ immune cells. Moreover, HLA‐DR‐CD33+ myeloid‐derived suppressive cells (MDSC) were decreased after treatment. We determined that the application of chemotherapy may activate the local immune status and convert OS into an immune “hot” tumor. These findings provide rationale for investigating the schedule of immunotherapy treatment in OS patients in future clinical trials.