口腔癌中肿瘤出芽与VEGF—C表达及淋巴结转移的相关关系

目的：通过检测肿瘤出芽、淋巴结转移以及血管内皮生长因子-C（VEGF—C）表达水平,分析口腔癌中肿瘤出芽与VEGF—C表达及淋巴结转移的相关关系,为临床治疗提供理论参考。方法：选取2009年1月-2013年1月4年间在我院接受诊治且资料完整63例口腔癌患者作为研究对象,观察肿瘤出芽、VEGF-C表达和淋巴结转移情况,分析相互之间的相关关系。结果：本次纳入研究的患者中,检出肿瘤出芽患者40例,所占比例为63．5％,VEGF—C表达阳性患者39例,阳性率率为61．9％,淋巴结转移患者40例,转移率为63．5％;肿瘤出芽与淋巴结转移的符合率为84．1％,肿瘤出芽与VEGF—C的表达符合率为79．4％,VEGF-C的表达与淋巴结转移发生的符合率为76．2％。肿瘤出芽与淋巴结转移呈正相关,经Spear相关分析,r=0．932,P〈0．05,与VEGF-C的表达也呈正相关,经Spear相关分析,r=0．897,P〈0．05。结论：肿瘤出芽与VEGF—C的表达水平和淋巴结转移均呈正相关关系,可用于预测判断口腔癌淋巴结转移情况。     

结直肠癌淋巴结微转移灶的临床病理研究

摘要目的：探讨结直肠癌淋巴结微转移灶的特点及其临床病理意义。方法：对我院2001年1月-2006年10月收治的56例无组织学淋巴结转移的结直肠癌患者的650个淋巴结进行微转移灶的免疫组织化学和组织学检测,并分析微转移灶与患者临床病理特征之间的关系。结果-通过对41,zm厚淋巴结连续切片进行观察,连续切片五片的微转移灶检出率较一片和两片的的微转移灶检出率显著升高（P〈0．05）。按解剖部位分组的患者微转移灶阳性率1组有66．67％（16／24）,2组有60％（9／15）,3组有41．2％（7／17）,无显著性差别（P〉0．05）。微转移灶与无组织学淋巴结转移的结直肠癌患者的肿瘤浸润深度（P=0．013）和肿块大小（P=0．037）存在显著性相关,但有微转移灶和无微转移灶的无组织学淋巴结转移的结直肠癌患者总体生存状况比较无显著差异（P〉0．05）。结论：微转移灶在无组织学淋巴结转移的结直肠癌淋巴结中较常见,与肿瘤大小和浸润深度有关,但与患者的预后无显著相关性。     

进展期胃癌的脾门淋巴结转移相关因素的研究

目的:探讨进展期胃癌脾门淋巴结(10组)转移的相关临床病理因素.方法:回顾分析了(2008-2011年)75例胃癌根治术伴10组淋巴结切除的进展期胃癌病例.分析了临床病理学因素和10组淋巴结转移的相关性.结果:本研究结果提示10组淋巴结转移的阳性率为52％.胃下部癌的转移率(20％)相对较低(P=0.000),大弯侧肿瘤的转移率高达76.2％.病灶的侵润深度及病理TNM分期与10组淋巴结阳性率密切相关,组织学类型或分化程度与10组淋巴结转移无统计学相关.病灶小于3 cm病例的10组淋巴结转移的阳性率为0％,而大于9 cm或Borrmann-Ⅳ的肿瘤患者的10组淋巴结转移的阳性率为100％.结论:10组淋巴结转移的高危因素包括:1.中上部胃癌;2.肿瘤位于胃大弯侧;3.大于3 cm; 4.侵达胃壁浆膜层.含以上高危因素的进展期胃癌根治手术中,建议常规行术中快速冰冻检查10组淋巴结是否存在转移;含2个以上高危因素的进展期胃癌建议行脾切除术,或如果技术条件具备应行保留脾的10组淋巴结清扫术以便最终获得R0切除.     

Automated identification of diseases related to lymph system from lymphography data using artificial immune recognition system with fuzzy resource allocation mechanism (fuzzy-AIRS)

Artificial immune recognition system (AIRS) classification algorithm, which has an important place among classification algorithms in the field of artificial immune systems, has showed an effective and intriguing performance on the problems it was applied. AIRS was previously applied to some medical classification problems including breast cancer, Cleveland heart disease, diabetes and it obtained very satisfactory results. So, AIRS proved to be an efficient artificial intelligence technique in medical field. In this study, the resource allocation mechanism of AIRS was changed with a new one determined by fuzzy-logic. This system, named as fuzzy-AIRS was used as a classifier in the diagnosis of lymph diseases, which is of great importance in medicine. The classifications of lymph diseases dataset taken from University of California at Irvine (UCI) Machine Learning Repository were done using 10-fold cross-validation method. Reached classification accuracies were evaluated by comparing them with reported classifiers in UCI web site in addition to other systems that are applied to the related problems. Also, the obtained classification performances were compared with AIRS with regard to the classification accuracy, number of resources and classification time. While only AIRS algorithm obtained 83.138% classification accuracy, fuzzy-AIRS classified the lymph diseases dataset with 90.00% accuracy. For lymph diseases dataset, fuzzy-AIRS obtained the highest classification accuracy according to the UCI web site. Beside of this success, fuzzy-AIRS gained an important advantage over the AIRS by means of classification time. By reducing classification time as well as obtaining high classification accuracies in the applied datasets, fuzzy-AIRS classifier proved that it could be used as an effective classifier for medical problems.     

Is Stereotactic Body Radiotherapy (SBRT) in lymph node oligometastatic patients feasible and effective?

ObjectivesTo review the available data about stereotactic body-radiotherapy (SBRT) for oligometastatic lymph node cancer recurrence.MethodsThe inclusion criteria for this study were as follows: Medline search for the (1) English language (2) full paper (abstracts were excluded) on (3) adult oligometastatic solid cancer recurrence limited to lymph node that underwent SBRT (4) outcome data available and (5) published up to the 30th April 2014.Results38 papers fulfilling the inclusion criteria have been found: 7 review articles and 31 patient series (20 and 11 retrospective and prospective studies, respectively) including between 1 and 69 patients (636 lymph nodes). Twelve articles reported only lymph node SBRT while in 19 – all types of SBRT including lymph node SBRT were presented. Two-year local control, 4-year progression free survival and overall survival was of up to 100%, 30% and 50%, respectively. The progression was mainly out-field (10–30% of patients had a recurrence in another lymph node/nodes). The toxicity was low with mainly mild acute events and single grade 3–4 late events. When compared to SBRT for any oligometastatic cancer, SBRT for lymph node recurrence carried better prognosis and showed lower toxicity.ConclusionsSBRT is a feasible approach for oligometastatic lymph node recurrence, offering excellent in-field tumor control with low toxicity profile. The potential abscopal effect has been hypothesized as a basis of these findings. Future studies are warranted to identify the patients that benefit most from this treatment. The optimal combination with systemic treatment should also be defined.     

检测pT_(1-4a)N_(1-3)M_0期胃癌淋巴结微转移检测的临床意义

目的:探讨胃癌淋巴结微转移及临床病理因素对p T1-4aN1-3M0期胃癌患者术后5年无瘤生存率的影响。方法:选取我院2009年1月至12月期间胃肠外科单一手术组行D2胃癌根治术p T1-4aN1-3M0期患者63例1427枚HE染色阴性淋巴结,应用免疫组化法检测这些淋巴结中CK19表达,观察微转移的情况并分析发生微转移的胃癌患者临床病理特征及对患者5年无瘤生存率的影响。结果:临床病理分期p T1-4aN1-3M0胃癌患者中,经免疫组化染色,1427枚HE常规染色阴性淋巴结中CK19阳性表达率为15.49%(221/1427);63例胃癌患者中CK19表达阳性率39.68%(25/63);术后随访时间5.6~68.5月(平均时间43.88月),淋巴结中CK19阴性表达、阳性表达患者的总5年生存率分别为52.63%、28.00%;两者无瘤生存率差异有统计学意义(x2=8.677,P=0.003)。淋巴结CK19阳性表达与胃癌患者的肿瘤直径(P0.05)、浸润胃壁深度(P0.05)有关。COX生存回归分析显示淋巴结微转移为独立预后因素。25例患者发现淋巴结微转移并推荐再分期,再分期率39.68%(25/63)。结论:p T1-4aN1-3M0期胃癌病人,CK-19免疫组化法染色能检出常规HE染色阴性淋巴结中的微转移,有助于细化分期、判断预后及指导治疗。     

Intraoperative evaluation of sentinel lymph nodes in breast cancer: comparison of frozen sections,imprint cytology and immunocytochemistry

M. Francz, K. Egervari and Z. Szollosi
Intraoperative evaluation of sentinel lymph nodes in breast cancer: comparison of frozen sections, imprint cytology and immunocytochemistry Objective: We analysed the utility of imprint cytology with rapid immunocytochemistry and frozen section analysis for the evaluation of sentinel lymph nodes in breast cancer patients. Methods: The sensitivity, specificity, and positive and negative predictive values have been calculated for each method individually, each pair and all three together. We compared these results with those of routinely processed paraffin sections. Results: The sensitivity and specificity of each of the three methods for detection of metastatic carcinoma were as follows: 69.4% and 97.8% for touch imprint cytology; 58.3% and 100% for frozen sections; 68.5% and 98.9% for rapid immunocytochemistry. When the methods were combined, the highest accuracy was achieved by touch imprint cytology, frozen sections, touch imprint cytology plus rapid immunocytochemistry, or touch imprint cytology frozen section analysis and rapid immunocytochemistry, each of these having identical sensitivity and specificity of 72.2% and 97.8%, respectively. Conclusions: In our study the combined accuracy of the three methods was the same as combining touch imprint cytology and frozen sections or touch imprint cytology plus rapid immunocytochemistry. Rapid immunocytochemistry provides an additional parameter and preserves tissue for permanent sections.     

藕节止血作用研究

本实验通过测定毛细管凝血时间(CT)、剪尾法出血时间(BT)、活化部分凝血酶时间(APTT)、凝血酶原时间(PT)、凝血酶时间(TT)、优球蛋白溶解时间(ELT)等指标研究藕节醇提物及其不同极性段的体内止血作用.结果表明,藕节醇提物显著缩短小鼠CT、BT,显示很好的止血作用,可能是主要通过缩短APTT、PT,延长ELT...     

treegraph: automated drawing of complex tree figures using an extensible tree description format

treegraph assists in producing complex ready‐to‐publish figures of phylogenetic trees. The TGF format used by the program automates formatting of several different statistical support value types (confidence estimates) per tree node. Moreover, internal text and graphical labels are automatically arranged at the nodes as are annotations for clades or groups of terminals. treegraph imports nexus trees and related file formats. Beyond common tree edit operations, simultaneous pruning of subtrees (simplification of the tree to higher order clades) and saving of subtrees is possible. treegraph exports to the standard vector graphics formats Scalable Vector Graphics and PostScript.     

Self‐Powered Wireless Sensor Node Enabled by a Duck‐Shaped Triboelectric Nanogenerator for Harvesting Water Wave Energy

This paper presents a fully enclosed duck‐shaped triboelectric nanogenerator (TENG) for effectively scavenging energy from random and low‐frequency water waves. The design of the TENG incorporates the freestanding rolling mode and the pitch motion of a duck‐shaped structure generated by incident waves. By investigating the material and structural features, a unit of the TENG device is successfully designed. Furthermore, a hybrid system is constructed using three units of the TENG device. The hybrid system achieves an instantaneous peak current of 65.5 µA with an instantaneous output power density of up to 1.366 W m^?2. Following the design, a fluid–solid interaction analysis is carried out on one duck‐shaped TENG to understand the dynamic behavior, mechanical efficiency, and stability of the device under various water wave conditions. In addition, the hybrid system is experimentally tested to enable a commercial wireless temperature sensor node. In summary, the unique duck‐shaped TENG shows a simple, cost‐effective, environmentally friendly, light‐weight, and highly stable system. The newly designed TENG is promising for building a network of generators to harvest existing blue energy in oceans, lakes, and rivers.