癌症药物耐药潜在机制及预测方法

doi:10.11904/j.issn.1002-3070.2023.06.006

实用肿瘤学杂志 ›› 2023, Vol. 37 ›› Issue (6): 491-495.doi: 10.11904/j.issn.1002-3070.2023.06.006

癌症药物耐药潜在机制及预测方法

曹新玉¹, 周旭¹, 汪泉¹ 综述, 姜伟^1,2 审校

1.南京航空航天大学自动化学院(南京 211106);
2.福建医科大学附属第一医院福建省肿瘤精准诊疗重点实验室

收稿日期:2023-03-25 修回日期:2023-10-05 出版日期:2023-12-28 发布日期:2024-03-18
通讯作者: 姜伟,E-mail:weijiang@nuaa.edu.cn;汪泉,E-mail:wangquan@nuaa.edu.cn
作者简介:曹新玉,女,(1999-),硕士研究生,从事癌症耐药相关研究。
基金资助:
国家自然科学基金面上项目(编号:62172213,61872183)

Potential mechanisms and prediction methods of anticancer drug resistance

CAO Xinyu¹, ZHOU Xu¹, WANG Quan¹, JIANG Wei^1,2

1. College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;
2. Fujian Key Laboratory of Precision Medicine for Cancer,the First Affiliated Hospital,Fujian Medical University

Received:2023-03-25 Revised:2023-10-05 Online:2023-12-28 Published:2024-03-18

摘要/Abstract

摘要： 癌症严重威胁着人类的健康和生命,其发病率和死亡率逐年上升。尽管抗癌药物的研发已经取得了长足的发展,但患者在治疗过程中仍不可避免地产生耐药性,从而导致肿瘤的复发。癌症耐药的机制十分复杂,如何准确预测癌症患者对药物的响应水平并提前干预,已成为癌症研究领域的一大热点问题。随着高通量生物医学数据的不断积累,研究人员开发了多个癌症耐药相关的大型数据平台,使生物医学大数据的挖掘更加便捷;同时,随着人工智能技术的发展,各种机器学习方法也被应用于癌症耐药的预测。因此,本文概括了抗癌药物常见的耐药机制,总结了癌症耐药相关的数据库,阐述了耐药性预测方法,希望为耐药肿瘤的治疗和新药开发提供参考和思路。

关键词: 药物耐药, 癌症, 药物反应预测, 机器学习, 深度学习

Abstract: Cancer is a serious threat to human health and life,and its incidence and mortality are increasing year by year.Despite significant progress in the development of anticancer drugs,patients still inevitably develop drug resistance during treatment,leading to tumor recurrence.The mechanisms of cancer drug resistance are very complex,and how to accurately predict the response level of cancer patients to drug and intervene in advance has become a hot topic in the field of cancer research.With the continuous accumulation of high-throughput biomedical data,researchers have developed multiple large-scale data platforms related to cancer drug resistance,making the mining of biomedical big data more convenient.Moreover,with the development of artificial intelligence,various machine learning methods have also been applied to the prediction of cancer drug resistance.Thus,this paper summarizes the common resistance mechanisms of anticancer drugs,reviews the databases related to cancer drug resistance,and elaborates on the methods for predicting drug resistance,hoping to provides references and ideas for the treatment of drug-resistant tumors and the development of new drugs.

Key words: Drug resistance, Cancer, Drug response prediction, Machine learning, Deep learning

中图分类号:

R979.1

曹新玉, 周旭, 汪泉, 姜伟. 癌症药物耐药潜在机制及预测方法[J]. 实用肿瘤学杂志, 2023, 37(6): 491-495.

CAO Xinyu, ZHOU Xu, WANG Quan, JIANG Wei. Potential mechanisms and prediction methods of anticancer drug resistance[J]. Journal of Practical Oncology, 2023, 37(6): 491-495.

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链接本文: http://journal09.magtechjournal.com/Jwk3_syzlxzz/CN/10.11904/j.issn.1002-3070.2023.06.006

http://journal09.magtechjournal.com/Jwk3_syzlxzz/CN/Y2023/V37/I6/491

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癌症药物耐药潜在机制及预测方法

Potential mechanisms and prediction methods of anticancer drug resistance

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