p53基因突变与骨髓增殖性肿瘤临床特征及预后关系

探究p53 基因突变与骨髓增殖性肿瘤（MPN）临床特征及预后的关系。方法 选取2017年1月～2020年1月本院收治的MPN患者126例，二代测序法检测患者p53 基因突变情况。对患者进行随访，统计患者总生存（OS）时间和累计生存率；分析p53 基因突变对患者临床特征、预后的影响。结果 126例MPN患者中12例（9.52%）检出p53基因突变，突变主要位于4~8号外显子上，不同类型患者的p53 基因突变检出率比较差异无统计学意义（P＞0.05）。p53突变组患者年龄大于p53 非突变组，WBC水平低于p53 非突变组（P＜0.05），两组患者的染色体核型、IPSS预后分层比较差异无统计学意义（P＞0.05）；p53 非突变组患者的OS时间、累计生存率均明显高于p53突变组患者（P＜0.05）。结论 MPN患者p53 基因突变发生率较高，与患者年龄、WBC水平、异常核型及IPSS预后分层相关，p53 基因突变会影响患者的预后，可作为临床筛查预后不良高风险人群的客观指标。     

红外光谱数据融合对栽培滇重楼产地鉴别*

目的 多样的环境因素使得不同产地栽培滇重楼的化学成分也丰富多样，不同居群栽培滇重楼的甾体皂苷类成分具有很大的差异，多源数据融合分析能更全面的表征药材化学信息，建立一个高效而准确的产地鉴别模型，为其资源合理开发利用提供依据。方法 以来自云南和四川的8个产地（保山、楚雄、大理、红河、丽江、成都、文山、玉溪）共366份栽培滇重楼根茎为实验材料，采集其傅里叶变换近红外光谱（FT-NIR）和衰减全反射-傅里叶变换中红外光谱（ATR-FTMIR）数据。采用Kennard-Stone算法将不同产地的样品分为2/3的训练集和1/3的预测集，基于4种特征变量提取方法（CARS、VIP、SPA、SO-Covsel）结合2种数据融合策略（低级数据融合和中级数据融合），建立偏最小二乘产地判别分析模型。根据模型参数交叉验证均方根误差（RMSECV）和预测均方根误差（RMSEP）评估模型的稳定性，模型训练集和预测集准确率（ACC）评估模型分类性能。结果 近红外光谱和中红外光谱均能反应不同产地栽培滇重楼的化学成分差异，在中级数据融合中，基于VIP和SPA提取的特征变量建立的模型正确率均大于94%。相较于中级数据融合，低级数据融合模型得到了最为满意的结果，其预测集分类正确率达到100%。结论 根据近红外和中红外数据建立的低级数据融合PLS-DA模型，能够用于栽培滇重楼的产地鉴别分析。     

Mechanism of action of Orthosiphon stamineus against non-alcoholic fatty liver disease: Insights from systems pharmacology and molecular docking approaches

Non-alcoholic fatty liver disease (NAFLD) is one of the most common complications of a metabolic syndrome caused by excessive accumulation of fat in the liver. Orthosiphon stamineus also known as Orthosiphon aristatus is a medicinal plant with possible potential beneficial effects on various metabolic disorders. This study aims to investigate the in vitro inhibitory effects of O. stamineus on hepatic fat accumulation and to further use the computational systems pharmacology approach to identify the pharmacokinetic properties of the bioactive compounds of O. stamineus and to predict their molecular mechanisms against NAFLD. Methods: The effects of an ethanolic extract of O. stamineus leaves on cytotoxicity, fat accumulation and antioxidant activity were assessed using HepG2 cells. The bioactive compounds of O. stamineus were identified using LC/MS and two bioinformatics databases, namely the Traditional Chinese Medicine Integrated Database (TCMID) and the Bioinformatics Analysis Tool for the Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM). Pathway enrichment analysis was performed on the predicted targets of the bioactive compounds to provide a systematic overview of the molecular mechanism of action, while molecular docking was used to validate the predicted targets. Results: A total of 27 bioactive compounds corresponding to 50 potential NAFLD-related targets were identified. O. stamineus exerts its anti-NAFLD effects by modulating a variety of cellular processes, including oxidative stress, mitochondrial β-oxidation, inflammatory signalling pathways, insulin signalling, and fatty acid homeostasis pathways. O. stamineus is significantly targeting many oxidative stress regulators, including JNK, mammalian target of rapamycin (mTOR), NFKB1, PPAR, and AKT1. Molecular docking analysis confirmed the expected high affinity for the potential targets, while the in vitro assay indicates the ability of O. stamineus to inhibit hepatic fat accumulation. Conclusion: Using the computational systems pharmacology approach, the potentially beneficial effect of O. stamineus in NAFLD was indicated through the combination of multiple compounds, multiple targets, and multicellular components.     

基于网络药理学和分子对接技术探讨生脉注射液抗新型冠状病毒肺炎的作用机制

目的采用网络药理学与分子对接技术探讨生脉注射液的活性成分和治疗新型冠状病毒肺炎(COVID-19)的潜在作用机制。方法利用TCMSP及BATMAN-TCM数据库筛选生脉注射液的活性化合物,通过TCMSP及Targetnet在线数据库预测作用靶点,通过Cytoscape3.7.1构建活性成分-作用靶点网络图;在GeneCards及OMIM数据库中以"coronavirus pneumonia"为关键词搜索冠状病毒肺炎相关疾病靶点,与生脉注射液化合物靶点进行交集筛选出共同靶点作为研究靶点,将共同靶点导入STRING数据库获取数据后在Cytoscape 3.7.1软件中构建蛋白质-蛋白质相互作用网络图;利用R语言进行GO(gene ontology)功能、KEGG(Kyoto encyclopedia of genes and genomes)通路富集分析,预测其作用机制,并构建"成分-靶点-通路"网络图;通过DiscoveryStudio 2.5软件对关键靶点进行分子对接分析。结果生脉注射液筛选得到22个活性化合物,分别为邻苯二甲酸二辛酯、β-谷甾醇、当归酰基戈米辛O、戈米辛A、戈米辛R、五味子丙素、内南五味子酯乙、长南酸、南五味子内酯、香蒲木脂素B、新杜松烷酸A、新杜松烷酸B、新杜松烷酸C、新南五味子木脂宁、五味子内酯A、五味子内酯E、五味子酸、尿苷、薯蓣皂苷元、鸟嘌呤核苷、N-反式阿魏酰酪胺、豆甾醇。相应作用靶点224个,与COVID-19的共同靶点16个,分别为CASP3、CASP8、PTGS2、BCL2、BAX、PRKCA、PTGS1、PIK3CG、F10、NOS3、DPP4、NOS2、TLR9、ACE、ICAM1、PRKCE,关键靶点涉及CASP3、PTGS2、NOS2、NOS3、ICAM1。GO功能富集分析得到生物过程(BP)条目771个,细胞组成(CC)条目11个,分子功能(MF)条目79个。KEGG通路富集分析筛选得到67条(P0.05)信号通路,主要涉及糖尿病并发症AGE-RAGE信号通路、凋亡通路、P53信号通路、小细胞肺癌通路等。分子对接结果显示与关键靶点对接较好的成分有五味子内酯E、豆甾醇、N-反式阿魏酰酪胺。结论生脉注射液中的活性化合物五味子内酯E、豆甾醇、N-反式阿魏酰酪胺等能作用于CASP3、PTGS2、NOS2、NOS3等靶点调节多条信号通路发挥抗炎、免疫调节、抗休克、增加血氧饱和度等作用,从而可能发挥对COVID-19的治疗作用。     

A prognostic signature based on immune-related genes for cervical squamous cell carcinoma and endocervical adenocarcinoma

Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is the fourth commonest female malignancy worldwide. CESC progresses in immune-microenvironment mainly composed of infiltrating immune and stromal cells. Here, we performed an integrated analysis incorporating the expression profiles from the Cancer Genome Atlas (TCGA) database and scores of immune and stromal cells calculated by Estimation of Stromal and Immune cells in Malignant Tumours using Expression data (ESTIMATE) algorithm. A two-gene signature (CD1C and CD6 genes) was established to predict the prognosis of CESC. Based on this signature, patients were divided into the high- and low-risk groups, and this signature showed good prognostic performance according to the results of Kaplan-Meier analysis and receiver operating characteristic (ROC) analysis in train set and two validation sets. A nomogram was built for evaluating the clinical applicability of this signature. In addition, based on Tumor Immune Estimation Resource (TIMER) database, 2 hub genes showed negative correlations with tumor purity and positive correlations with infiltrating levels of immune filtrating cells. What’s more, we propose new treatment strategies for the two prognostic subtypes. Low- risk patients were found presenting with a higher level of immune checkpoint molecules and showing higher immunogenicity in immunophenoscore (IPS) analysis, which indicated a better response for immunotherapy. Meanwhile, estimated by Genomics of Drug Sensitivity in Cancer (GDSC) database, the high-risk patients showed sensitive responses to five chemotherapy drugs. Finally, 10 candidate small-molecule drugs for CESC were defined. In summary, the CD1C-CD6 signature can accurately predict the prognosis of CESC.     

基于TCGA数据初步探查肝内胆管癌预后相关基因

目的 分析tCGA数据库中肝内胆管癌（ICC）高通量测序数据，寻找其预后相关基因，构建风险模型，并研究其在ICC组织中表达及作用通路。方法 下载tCGA数据库中33例ICC组织和8例癌旁组织中的RNA-seq表达矩阵数据和患者临床资料信息，利用edgeR软件包进行基因差异表达分析，通过单因素Cox回归分析筛选出预后相关差异基因，对差异基因绘制生存曲线，筛选出具有临床意义的基因，经多因素Cox回归分析并构建风险模型，通过京都基因与基因组百科全书（KEGG）通路富集分析了解预后相关基因的作用通路。结果 通过edgeR分析后得到6 617个差异基因（筛选标准为|log2 Fold Change|＞1，P＜0.05），其中高表达组4 094个，低表达组2 523个。通过功能富集发现，这些基因主要集中在化学物致癌作用、药物代谢-细胞色素P450系统、细胞色素P450对异生物质的代谢影响以及视黄醇代谢通路。经单因素Cox回归、R软件“survival”包生存曲线分析显示，UCN2、CST1、PROS1、SLC35E4、PEMT五个基因对ICC患者预后存在显著性影响。通过多因素Cox回归分析，CST1、PEMT、PROS1构建的风险模型对ICC患者预后具有判断作用。结论 UCN2、CST1、PROS1、SLC35E4、PEMT基因可能成为ICC预后判断指标，为后续临床试验提供数据支持。     

基于神经网络和支持向量机的中医体质辨识模型研究＊

目的 提出基于舌象和形体特征的中医体质辨识模型，探讨中医以舌辨质客观化、规范化方法。方法 提取客观化的舌象特征（舌质与舌苔的色度和饱和度、舌苔纹理的平均亮度、平滑度以及齿痕特征）和形体特征，建立基于神经网络和支持向量机的客观化舌象和形体特征的辅助中医体质识别模型。结果 对平和质、气虚质、阴虚质和气淤质四种体质进行模型的训练和测试，结果表明融合舌象特征和形体特征的中医体质辨识模型能有效地辅助中医体质识别，且支持向量机对四种体质辨识效果总体上优于神经网络。结论 基于客观化的舌象特征和形体特征辅助中医体质辨识有利于提高中医体质辨识的客观化水平，合理选择机器学习算法可以提高中医体质辨识的准确性。     

苏州市初治菌阴肺结核患者就诊延迟现况及临床特征

目的 分析初治菌阴肺结核患者就诊延迟现况及临床特征,为制定有效措施提供科学依据。方法 应用横断面研究,收集苏州市5家结核病定点医院初治菌阴肺结核患者人口学、经济来源、生活方式、结核病知识、主要病史及进入结核病定点医院前发病和就诊等临床资料,采用Logistic回归方法进行统计分析。结果 379例初治菌阴肺结核患者就诊延迟186例,就诊延迟率为49.08%。老年人(OR=1.898,95% CI=1.157~3.112,P=0.011)、日工作时间大于8 h(OR=1.774,95% CI=1.014~3.102, P=0.044)、流动人口(OR=3.252; 95% CI=1.807~5.855, P<0.001)和发热(OR= 2.061,95% CI=1.021~4.160,P=0.043)是初治菌阴肺结核患者发生就诊延迟的危险特征,而咯血(OR= 0.356, 95% CI= 0.164~0.773,P=0.009)是就诊延迟的保护特征。结论 初治菌阴肺结核患者就诊延迟现象较严重,需对不同临床特征的患者采取综合干预措施,减少就诊延迟发生。     

男性乳腺癌38例临床病理分析

目的 分析男性乳腺癌的临床病理及分子分型特点。方法 回顾分析宁波市临床病理诊断中心2013年1月至2019年3月38例男性乳腺癌病例的临床病理和分子分型资料。结果 38例男性乳腺癌病人，占同期乳腺癌病人0.83%，中位年龄68.5（24～88）岁，病灶位于左侧20例，位于右侧18例。其中29例为浸润性导管癌，2例为分泌性癌，1例为实性乳头状癌伴微浸润， 2例为导管内乳头状癌伴微浸润，4例为包裹性乳头状癌（其中2例伴微浸润）。浸润性导管癌组织学分级Ⅰ级2例，Ⅱ级20例，Ⅲ级7例。16例伴淋巴结转移。免疫组化染色：36例ER 阳性，35例PR阳性。分子分型Luminal A型18例，Luminal B型16例，基底细胞型2例。结论 男性乳腺癌少见，发病年龄较晚，临床分期较高，预后较差，且发生第2种原发性癌的可能性增加，加强对其认识，争取早期诊断、治疗及监测非常重要。男性乳腺癌仍须扩大样本量进一步研究。     

Different clinical features between patients with ROS1-positive and ALK-positive advanced non-small cell lung cancer

ObjectiveTo compare the baseline clinical characteristics between patients with ROS1-positive and ALK-positive advanced non-small cell lung cancer (NSCLC), and the correlations of these subtypes with the distribution of metastases.MethodsWe compared the clinical characteristics and imaging features of patients with ROS1-positive and ALK-positive NSCLC using statistical methods.ResultsData for 232 patients were analyzed. Compared with ALK-positive NSCLC, ROS1-positive NSCLC was more likely to occur in women (71% vs 53%), and primary lesions ≤3 cm were more common in patients with ROS1-positive compared with ALK-positive NSCLC (58% vs 37%). There was no significant difference in the distribution of metastases between the two groups. Subgroup analysis within the ROS1-positive group showed that, compared with primary lesions >3 cm, primary lesions ≤3 cm were more likely to present as peripheral tumors (72% vs 43%) and more likely to exhibit non-solid density (44% vs 4%).ConclusionsAlthough ROS1-positive and ALK-positive NSCLCs show similar clinical features, the differences may help clinicians to identify patients requiring further genotyping at initial diagnosis.