脑胶质瘤的个性化医学:靶向治疗,患者衍生的肿瘤模型(综述)

IF 1.1 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Sovremennye Tehnologii v Medicine Pub Date : 2023-01-01 Epub Date: 2023-05-28 DOI:10.17691/stm2023.15.3.07
K S Yashin, D V Yuzhakova, D A Sachkova, L S Kukhnina, T M Kharitonova, A S Zolotova, I A Medyanik, M V Shirmanova
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引用次数: 0

摘要

最近,当通过影响特定分子靶点来抑制肿瘤生长的个性化靶向治疗被引入时,许多形式的癌症的治疗发生了重大突破。肿瘤学中另一个越来越受欢迎的趋势是创建患者衍生的肿瘤模型,该模型可用于药物筛选以选择最佳治疗方案。考虑了脑胶质瘤生长的分子和遗传机制,包括可能暴露于靶向药物的单个成分。文献综述的结果显示,与使用标准疗法相比,个性化方法治疗个体患者的疗效更高。然而,在预测特定药物治疗方案的有效性方面仍然存在许多未解决的问题。解决这一问题的主要希望是使用患者衍生的肿瘤模型,该模型可用于多种抗肿瘤药物的一阶段测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Medicine in Brain Gliomas: Targeted Therapy, Patient-Derived Tumor Models (Review).

Gliomas are the most common type of primary malignant brain tumors. The choice of treatments for these tumors was quite limited for many years, and therapy results generally remain still unsatisfactory. Recently, a significant breakthrough in the treatment of many forms of cancer occurred when personalized targeted therapies were introduced which inhibit tumor growth by affecting a specific molecular target. Another trend gaining popularity in oncology is the creation of patient-derived tumor models which can be used for drug screening to select the optimal therapy regimen. Molecular and genetic mechanisms of brain gliomas growth are considered, consisting of individual components which could potentially be exposed to targeted drugs. The results of the literature review show a higher efficacy of the personalized approach to the treatment of individual patients compared to the use of standard therapies. However, many unresolved issues remain in the area of predicting the effectiveness of a particular drug therapy regimen. The main hopes in solving this issue are set on the use of patient-derived tumor models, which can be used in one-stage testing of a wide range of antitumor drugs.

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来源期刊
Sovremennye Tehnologii v Medicine
Sovremennye Tehnologii v Medicine MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
1.80
自引率
0.00%
发文量
38
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