title: [Screening for predictive biomarkers of bevacizumab treatment in gastric cancer subcutaneous xenografts].
abstract: OBJECTIVE
  To establish subcutaneous xenograft models of gastric cancer in nude mice and to screen the predictive biomarkers of bevacizumab effectiveness.
  
  
  METHODS
  Subcutaneous xenograft models were established using BGC823 gastric cancer cell line in 20 male 4-week old BALB/C-nu/nu nude mice and were randomly divided into four groups, bevacizumab group(15 mg/kg), 5-FU group(15 mg/kg), combined group and control group, with 5 mice in each group. Bevacizumab and 5-FU were administered intraperitoneally every other day for three weeks. After treatment, tumor size and inhibition rate were calculated. Expression of CD31 was examined by immunohistochemistry for evaluation of microvascular density(MVD). Levels of human vascular endothelial growth factor(VEGF), basic fibroblast growth factor (bFGF), placental growth factor (PIGF) and interleukin 8(IL-8) were tested by enzyme linked immunosorbent assay(ELISA).
  
  
  RESULTS
  Compared to the control group, bevacizumab group and combined group had a significantly lower MVD(5.2±1.0 and 4.3±1.2 vs. 13.8±1.6, P<0.05), a smaller tumor volume [(305.6±184.1) mm(3) and (242.2±71.4) mm(3) vs.(1535.2±625.1) mm(3), P<0.05], and lower levels of VEGF and IL-8 in tumor tissues [VEGF:(351.6±84.1) ng/L and (242.2±71.4) ng/L vs. (1256.7±702.1) ng/L, P<0.05); IL-8:(20 903±1485) ng/L and (27 489±6772) ng/L vs. (57 032±2437) ng/L, P<0.05]. The above parameters were not significantly different between 5-FU group and control group(all P>0.05). Levels of bFGF and IGF were not significantly different among four groups as well(all P>0.05).
  
  
  CONCLUSIONS
  VEGF and IL-8 may be used to be biomarkers candidates to predict bevacizumab effectiveness on human gastric cancer.
authors: Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China. heyulong@mail.sysu.edu.cn.
authors: Qingyuan
authors: Q
authors: Zhang
authors: Jianbo
authors: J
authors: Xu
authors: Jinning
authors: J
authors: Ye
authors: Yujie
authors: Y
authors: Yuan
authors: Jianhui
authors: J
authors: Chen
authors: Jianjun
authors: J
authors: Peng
authors: Yulong
authors: Y
authors: He
mesh_terms: D000818:Animals; D061067:Antibodies, Monoclonal, Humanized; D000068258:Bevacizumab; D015415:Biomarkers; D045744:Cell Line, Tumor; D005472:Fluorouracil; D064593:Heterografts; D006801:Humans; D007150:Immunohistochemistry; D008297:Male; D051379:Mice; D008807:Mice, Inbred BALB C; D008819:Mice, Nude; D013274:Stomach Neoplasms; D042461:Vascular Endothelial Growth Factor A; D023041:Xenograft Model Antitumor Assays
chemical_list: D061067:Antibodies, Monoclonal, Humanized; D015415:Biomarkers; C467484:VEGFA protein, human; D042461:Vascular Endothelial Growth Factor A; D000068258:Bevacizumab; D005472:Fluorouracil