Yashin K S, Yuzhakova D V, Sachkova D A, Kukhnina L S, Kharitonova T M, Zolotova A S, Medyanik I A, Shirmanova M V
Neurosurgeon, Department of Neurosurgery, University Clinic; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia; Assistant, Department of Traumatology and Neurosurgery named after M.V. Kolokoltsev; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia; Oncologist, Polyclinic Department; Nizhny Novgorod Regional Oncologic Dispensary, 11/1 Delovaya St., Nizhny Novgorod, 603126, Russia.
Researcher, Laboratory of Genomics of Adaptive Antitumor Immunity, Research Institute of Experimental Oncology and Biomedical Technologies; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia.
Sovrem Tekhnologii Med. 2023;15(3):61-71. doi: 10.17691/stm2023.15.3.07. Epub 2023 May 28.
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.
神经胶质瘤是最常见的原发性恶性脑肿瘤类型。多年来,这些肿瘤的治疗选择相当有限,治疗结果总体上仍不尽人意。最近,当引入个性化靶向治疗时,癌症治疗取得了重大突破,这种治疗通过影响特定分子靶点来抑制肿瘤生长。肿瘤学中另一个越来越流行的趋势是创建患者来源的肿瘤模型,可用于药物筛选以选择最佳治疗方案。人们考虑了脑胶质瘤生长的分子和遗传机制,这些机制由可能暴露于靶向药物的各个成分组成。文献综述结果表明,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有效性的领域仍存在许多未解决的问题。解决这个问题的主要希望寄托在使用患者来源的肿瘤模型上,该模型可用于对多种抗肿瘤药物进行一站式测试。