肺癌分子靶向治疗EGFR-TKI患者证候及中医处方用药研究进展
Research progress on Syndrome Types and Prescription Medication of Traditional Chinese Medicine of EGFR-TKI Patients Treated by Molecular Targeted Therapy of Lung Cancer
张迪 1陈浩然 1王家政 1陈亚飞 2刘浩1
作者信息
- 1. 中国中医科学院广安门医院,北京 100053
- 2. 北京中医药大学,北京 100029
- 折叠
摘要
表皮生长因子受体酪氨酸激酶抑制剂(Epidermal growth factor receptor tyrosine kinase inhibitor,EGFR-TKI)是肺癌治疗领域的里程碑,中医药与分子靶向治疗EGFR-TKI相结合是肺癌综合治疗的新模式.辨证论治是中医的特色,中医药的精准配合,可以贯穿于分子靶向治疗EGFR-TKI的全程.通过查阅、归纳及分析近年来不同专家学者对分子靶向治疗EGFR-TKI相关肺癌患者不同治疗阶段的中医证候及中医处方用药研究的文献,总结肺癌分子靶向治疗EGFR-TKI患者在不同治疗阶段的证候分布及中医处方用药特点,促使中医辨证论治更加精准,旨在进一步提高临床上中医药配合分子靶向治疗EGFR-TKI的效果.
Abstract
Epidermal growth factor receptor tyrosine kinase inhibitor(EGFR-TKI)is a milestone in the field of lung cancer treatment,and the combination of traditional Chinese medicine and molecular targeted therapy EGFR-TKI is a new mode of com-prehensive treatment of lung cancer.The treatment based on syndrome differentiation is the characteristic of traditional Chinese medicine.The precise cooperation of traditional Chinese medicine can run through the whole process of molecular targeted treat-ment of EGFR-TKI.Through consulting,summarizing and analyzing the literature of different experts and scholars in recent years on the research of TCM syndromes and TCM prescriptions for different treatment stages of molecular targeted treatment of EGFR-TKI related lung cancer patients,it summarized the distribution of syndromes and the characteristics of TCM prescriptions for different treatment stages of EGFR-TKI patients with molecular targeted treatment of lung cancer,so as to promote the accu-racy of TCM syndrome differentiation and treatment,the aim is to further improve the clinical efficacy of traditional Chinese medi-cine combined with molecular targeted therapy of EGFR-TKI.
关键词
肺癌/分子靶向治疗/表皮生长因子受体酪氨酸激酶抑制剂/证候/中医处方用药Key words
lung cancer/molecular targeted therapy/epidermal growth factor receptor tyrosine kinase inhibitor/syndrome types/prescription medication of traditional Chinese medicine引用本文复制引用
基金项目
国家自然科学基金面上项目(81573950)
出版年
2024
NETL
NSTL
万方数据