ObjectiveTo investigate the expression of IQ motif-containing GTPase activating protein 1 (IQGAP1) in hepatocellular carcinoma (HCC) tissues, and to analyze the relationship of IQGAP1 and patient's clinical characteristics and prognosis after liver resection. MethodsData of 79 patients who received liver resection between 2007 and 2009 in our hospital were collected. The expression of IQGAP1 was examined by immunohistochemical tests. The clinical characteristics and prognosis were compared. ResultsIQGAP1 was detected in 43 patients (54.4%). Patients with IQGAP1 expression had more poor differentiation and microvascular invasion. The cumulative recurrence-free rate and overall survival rate in 1-, 3-, and 5-year after operation of patients with IQGAP1 expression (cumulative recurrencefree rate:67.4%, 39.5%, and 23.3%; cumulative overall survival rate:97.7%, 71.5%, and 53.3%) were poor than patients without IQGAP1 expression (cumulative recurrence-free rate:100%, 94.4%, and 83.3%; cumulative overall survival rate:1007%, 97.2%, and 88.9%), P < 0.001. ConclusionsHCC patients with IQGAP1 expression had a poor prognosis after liver resection. IQGAP1 may be a prognostic indicator for hepatocellular carcinoma.
The aim of this article is to study the regulatory feedback loop between β-catenin and IQ motif containing GTPase activating protein 1 (IQGAP1), as well as the effect of this regulation loop in colon cancer cell proliferation. Western blot was used to detect the expression of IQGAP1 and β-catenin after changing their expression respectively by transfection in SW1116 cells. CCK-8 cell proliferation assay was used to detect the effect of IQGAP1 involved in the proliferation of SW1116 cells promoted by β-catenin. The results of Western blot indicated that β-catenin could positively regulate IQGAP1, while IQGAP1 silencing could up-regulate β-catenin, forming a negative feedback loop. The results of CCK-8 showed that IQGAP1 silencing inhibited β-catenin-mediated proliferation in SW1116 cells. In conclusion, our research reveals a negative regulatory feedback loop between β-catenin and IQGAP1 which has a remarkable effect on the proliferation ability of colon cancer cells.
目的 分析比较锥形束CT(CBCT)与MOSAIQ两系统用于测量胸部放射治疗(放疗)摆位误差情况。 方法 2011年2月－9月,随机选择21例用热塑模固定的胸部调强治疗患者，进行同次摆位的CBCT图像采集和电子射野影像(EPID)正侧位图像采集。将CBCT图像与定位CT图像进行匹配，图像经iViewGT系统传输至MOSAIQ系统图像处理模块中与计划生成的数字重建图像(DRR)正侧位片进行匹配，分别记录两套系统图像匹配结果在X(左右)方向、Y(头脚)方向、Z(前后)方向的平移误差及CBCT的旋转误差值，计算其均值、标准差，进行统计学处理。 结果 本研究共获取图像106组，每组内包含一次CBCT图像和EPID图像。CBCT和MOSAIQ系统下EPID匹配结果平移误差在X、Y、Z方向分别为(−0.103 ± 0.240)cm、(−0.086 ± 0.342)cm、(0.017 ± 0184)cm和(0.005 ± 0.214)cm、(−0.004 ± 0.0.315)cm、(−0.113 ± 0.239)cm；旋转误差在X、Y、Z方向分别为(0.792 ± 1.173)°、(−0.130 ± 1.407)°、(0.793 ± 0.960)°，其中≤3°的概率分别为98.2%、97.2%、99.1%，最大绝对值分别为5°、3.4°、3.3°。两套系统在X、Y、Z三个方向的平移误差经配对样本检验，在Y方向P＞0.05，在X和Z方向上P值均＜0.05， 两系统的测量差值有直线负相关关系。 结论 CBCT和EPID在测量胸部放疗靶区中心的平移误差中差异有统计学意义，因此建议在做胸部放疗时有CBCT的情况下应优先使用。
Objective To study the anatomy and variations of hepatic veins draining into inferior vena cava （IVC）， and to classify the surgical techniques of piggyback liver transplantation （PBLT） based on the view of hepatic veins anatomy with IQQA liver image analysis system so as to provide the important basis for the perioperative clinical decision making. Methods Two hundred and forty-eight cases of PBLT were preformed in the Zhongnan Hospital of Wuhan University and the 3rd Xiangya Hospital of Central South University from May 2000 to August 2007， the types of hepatic veins were summarized according to the anatomy of hepatic veins and short hepatic veins draining into IVC at the second and third hepatic hilars. Forty cases of PBLT were preformed in the Zhongnan Hospital of Wuhan University from March 2010 to April 2013， and the anatomy of hepatic veins was reviewed with IQQA liver image analysis system. The anatomy of hepatic veins and technological type of liver transplantation were recorded respectively. Results Of these 248 livers studied in our center， type Ⅰ（the left and middle hepatic vein joined as one trunk ） was found in 142 cases （57.25%）， type Ⅱ （the right and middle hepatic vein joined as one trunk） was 54 cases （21.77%）， type Ⅲ （three hepatic veins joined as one trunk） in 14 cases （5.64%）， type Ⅳ （the left， middle， and right hepatic veins were all unique）in 34 cases （13.71%）， and type Ⅴ （no hepatic veins but short hepatic veins） in 4 cases （1.61%）. The data of 40 cases of PBLT from IQQA liver image analysis system showed that type Ⅰwere found in 24 cases （60.00%）， type Ⅱin 9 cases（22.50%）， type Ⅲ in 2 cases （5.00%）， type Ⅳ in 4 cases （10.00%）， and type Ⅴ in 1 case （2.50%）， which were matched with hepatic vein classification standard of the author. Conclusions Studying the anatomy and variations of hepatic veins draining into IVC with IQQA liver image analysis system and classifying the surgical techniques of PBLT （type Ⅰ，Ⅱ，Ⅲ，andⅣA patients can be performed classical PBLT；Type ⅣB and Ⅴ patients can only be performed ameliorative PBLT） could provide an important basis for clinical preoperative decision.
ObjectiveThe aim of this study was to understand the relationship between IQ and glucose metabolism in brain cells in a wide variety of epilepsy subjects. MethodsThe study participants were 78 children with epilepsy and 15 healthy children for comparison. All participants were administered the Chinese Wechsler Intelligence Scale for Children (C-WISC). The verbal intelligence quotient (VIQ), performance intelligence quotient (PIQ) and full scale intelligence quotient (FIQ) were compared between epileptic children and typically developing children. 78 patients underwent interictal positron emission computed tomography (PET) using 2-deoxy-2[18F]fluoro-D-glucose (FDG) as the tracer for evaluating brain glucose metabolism. ResultsVIQ, PIQ and FIQ based on the C-WISC were significantly lower in epileptic children than those in the healthy comparison group (P < 0.001, P=0.001 and P < 0.001, respectively). The IQ of patients with normal metabolism, unifocal abnormal hypometabolism and multifocal abnormal hypometabolism determined by PET differed significantly. The extent of the abnormal hypometabolism was negatively correlated with the FIQ (rs=-0.549, P < 0.001). In patients with lateralized hypometabolism based on PET, the VIQ/PIQ discrepancy (︱VIQ-PIQ︱≥15 points)scores differed significantly between the left hemisphere abnormal hypometabolism and right hemisphere abnormal hypometabolism subgroups, being negative values in the left and positive values in the right subgroups(P=0.004). ConclusionsBrain metabolic abnormalities are correlated with IQ, and perfoming interictal PET along with C-WISC can better assess the extent of severity of cognitive impairment and VIQ/PIQ discrepancy.