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多因子固相抗体芯片筛选评价免疫细胞治疗肺癌的生物标志物

梁露花 初廷广 李东霖 王思亮 李文欣 项荣武

中国肿瘤生物治疗杂志2017,Vol.24Issue(5):527-532,6.
中国肿瘤生物治疗杂志2017,Vol.24Issue(5):527-532,6.DOI:10.3872/j.issn.1007-385X.2017.05.012

多因子固相抗体芯片筛选评价免疫细胞治疗肺癌的生物标志物

Biomarkers of lung carcinoma for evalution of the immunocytotherapy selected by solid phase antibody chip against multiple factors

梁露花 1初廷广 2李东霖 1王思亮 3李文欣 2项荣武1

作者信息

  • 1. 沈阳药科大学生物医药信息学教研室,辽宁沈阳110016
  • 2. 辽宁迈迪生物科技有限公司,辽宁沈阳117004
  • 3. 中国医科大学附属盛京医院肿瘤科,辽宁沈阳110004
  • 折叠

摘要

Abstract

Objective:Applying solid phase antibody chip against multiple factors to screen serum marker proteins of the patients with lung carcinoma who were treated by immunocytotherapy as clinical diagnosis index and to establish an evaluation model for clinical efficacy of the patients with lung carcinoma.Methods:Using Proteome ProfilerTM solid phase antibody chip against multiple factors and Image J software to analyze gray scale/optical density of the serum marker proteins from 5 patients with advanced lung carcinoma,5 patients with improved lung carcinoma and 10 healthy individuals.The protein gray values obtained were analyzed by SPSS software,and Fisher model for evaluation of clinical efficacy of the patients with lung carcinoma was established.Results:Analyzing and comparing the common marker proteins among the patients with advanced lung carcinoma,the patients with improved lung carcinoma and the healthy individuals,8 proteins that are dipeptidyl peptidase Ⅳ,growth hormone,IL-4,myeloperoxidase,osteopontin,receptor of advanced glycation endproducts,TNF-o,and urokinase type plasminogen activator receptor with significant difference (P < 0.05) were obtained.Clustering and analyzing data for all of the patients and the healthy individuals in the experiment found that the 8 proteins can very well distinguish the patients with advanced lung carcinoma from the patients with improved lung carcinoma and the healthy individuals.The Fisher model for lung carcinoma was confirmed.Conclusion:The solid phase antibody chip against multiple factors and optimal statistical methods could screen out the serum protein biomarkers related to occurrence,development and efficacy of lung carcinoma,which could establish a certain basis of clinical trail for researches on the mechanism of lung carcinogenesis as well as clinical diagnosis and treatment of the lung carcinoma.It could play an important guiding role in the individualized treatment of the lung carcinoma.

关键词

肺癌/免疫细胞治疗/生物标志物/统计学方法

Key words

lung carcinoma/immunocytotherapy/biomarker/statistic method

分类

医药卫生

引用本文复制引用

梁露花,初廷广,李东霖,王思亮,李文欣,项荣武..多因子固相抗体芯片筛选评价免疫细胞治疗肺癌的生物标志物[J].中国肿瘤生物治疗杂志,2017,24(5):527-532,6.

基金项目

辽宁省教育厅基金资助项目(No.201610163L28).Project supported by the Foundation of Liaoning Education Department (No.201610163L28) (No.201610163L28)

中国肿瘤生物治疗杂志

OA北大核心CSCDCSTPCD

1007-385X

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