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.
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.
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.
目的 分析比較錐形束CT(CBCT)與MOSAIQ兩系統用于測量胸部放射治療(放療)擺位誤差情況。 方法 2011年2月－9月,隨機選擇21例用熱塑模固定的胸部調強治療患者，進行同次擺位的CBCT圖像采集和電子射野影像(EPID)正側位圖像采集。將CBCT圖像與定位CT圖像進行匹配，圖像經iViewGT系統傳輸至MOSAIQ系統圖像處理模塊中與計劃生成的數字重建圖像(DRR)正側位片進行匹配，分別記錄兩套系統圖像匹配結果在X(左右)方向、Y(頭腳)方向、Z(前后)方向的平移誤差及CBCT的旋轉誤差值，計算其均值、標準差，進行統計學處理。 結果 本研究共獲取圖像106組，每組內包含一次CBCT圖像和EPID圖像。CBCT和MOSAIQ系統下EPID匹配結果平移誤差在X、Y、Z方向分別為(?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；旋轉誤差在X、Y、Z方向分別為(0.792 ± 1.173)°、(?0.130 ± 1.407)°、(0.793 ± 0.960)°，其中≤3°的概率分別為98.2%、97.2%、99.1%，最大絕對值分別為5°、3.4°、3.3°。兩套系統在X、Y、Z三個方向的平移誤差經配對樣本檢驗，在Y方向P＞0.05，在X和Z方向上P值均＜0.05， 兩系統的測量差值有直線負相關關系。 結論 CBCT和EPID在測量胸部放療靶區中心的平移誤差中差異有統計學意義，因此建議在做胸部放療時有CBCT的情況下應優先使用。
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.