| 生物信息学一致性相关系数法预测非小细胞肺癌的NP化疗方案药物敏感性基因 |
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| 引用本文： | 王卓智,陈秋月,韩勇,陈永孜,黄怡菲,龚卫静,徐双兵,李居怡,邓艾平,刘亚妮,曾芳,吕永宁,张玉.生物信息学一致性相关系数法预测非小细胞肺癌的NP化疗方案药物敏感性基因[J].医药导报,2021(2):153-157. |
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| 作者姓名： | 王卓智 陈秋月 韩勇 陈永孜 黄怡菲 龚卫静 徐双兵 李居怡 邓艾平 刘亚妮 曾芳 吕永宁 张玉 |
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| 作者单位： | 天津医科大学生物医学工程与技术学院;华中科技大学同济医学院附属协和医院药学部;天津医科大学肿瘤医院肿瘤细胞生物学实验室;华中科技大学同济医学院附属协和医院肿瘤科;武汉市中心医院 |
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| 基金项目： | 国家重点研发计划资助项目(2017YFC0909900);国家自然科学基金资助项目(81673456);武汉市卫健委重大项目(WX18M02)。 |
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| 摘 要： | 目的用生物信息学一致性相关系数(CCC)法预测非小细胞肺癌一线化疗方案NP方案(长春瑞滨+顺铂)药物敏感性基因。方法使用5种统计学方法:Pearson相关分析、Spearman相关分析、Welch's t-test、ANCOVA和rank-based ANCOVA,从NCI 60数据库筛选药物敏感性基因,通过CCC筛选非小细胞肺癌患者化疗药物敏感性基因。利用在线数据库DAVID进行KEGG通路富集分析。结果筛选出可能应用于预测非小细胞肺癌化疗药物敏感性基因:顺铂的药物敏感性基因主要富集在蛋白聚糖、细菌侵袭上皮细胞通路中;长春瑞滨的药物敏感性基因主要与癌症信号通路、蛋白聚糖有关。结论生物信息学CCC法可应用于筛选出预测非小细胞肺癌化疗药物敏感性的基因,可能为将来构建NP方案精准化疗模型提供研究基础。
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| 关 键 词： | 药物敏感性基因 NP方案 非小细胞肺癌 生物信息学 一致性相关系数(CCC) |
Predicting Drug Sensitivity Genes of NP Scheme for NSCLC Preliminarily by Concordance Correlation Coefficient Method of Bioinformatics |
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| WANG Zhuozhi,CHEN Qiuyue,HAN Yong,CHEN Yongzi,HUANG Yifei,GONG Weijing,XU Shuangbing,LI Juyi,DENG Aiping,LIU Yani,ZENG Fang,LYU Yongning,ZHANG Yu.Predicting Drug Sensitivity Genes of NP Scheme for NSCLC Preliminarily by Concordance Correlation Coefficient Method of Bioinformatics[J].Herald of Medicine,2021(2):153-157. |
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| Authors: | WANG Zhuozhi CHEN Qiuyue HAN Yong CHEN Yongzi HUANG Yifei GONG Weijing XU Shuangbing LI Juyi DENG Aiping LIU Yani ZENG Fang LYU Yongning ZHANG Yu |
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| Institution: | (School of Biomedical Engineering and Technology,Tianjin Medical University,Tianjin 300070,China;Department of Pharmacy,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology,Hubei Province Clinical Research Center for Precision Medicine for Critical Diseases,Wuhan 430022,China;Cancer Cell Biology,Cancer Hospital,Tianjin Medical University,Tianjin Key Laboratory of Cancer Prevention and Control,National Cancer Clinical Medical Research Center,Tianjin Malignant Tumor Clinical Medical Research Center,Tianjin 300060,China;Department of Oncology,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430022,China;The Central Hospital of Wuhan City,Wuhan 430024,China) |
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| Abstract: | Objective The concordance correlation coefficient(CCC)method of bioinformatics is used to predict the drug sensitivity genes of the NP scheme(vinorelbine and cisplatin)in the first-line chemotherapy regimen for non-small cell lung cancer.Methods Five statistical methods(Pearson correlation analysis,Spearman correlation analysis,Welch's t-test,ANCOVA and rank-based ANCOVA)were used to screen drug sensitivity genes from the NCI 60 database,and screened biomarkers of chemotherapeutic drug sensitivity in patients with non-small cell lung cancer by concordance correlation coefficient(CCC).The online database DAVID was used for enrichment analysis of KEGG pathway.Results The selection of genes that may be used to predict the sensitivity of chemotherapy drugs of non-small cell lung cancer chemotherapy drugs:the drug sensitivity genes of cisplatin were mainly enriched in proteoglycans and bacterial invasion of epithelial cells;The drug sensitivity genes of vinorelbine were mainly related to cancer pathways,and proteoglycans.Conclusion The CCC method of bioinformatics can be applied to screen out genes that predict the sensitivity of non-small cell lung cancer chemotherapy drugs,which can provide a research foundation for the construction of the NP scheme precision chemotherapy prediction model in the future. |
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| Keywords: | Drug sensitivity genes NP scheme Non-small cell lung cancer Bioinformatics Concordance correlation coefficient(CCC) |
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