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疾病机制:脑肿瘤治疗反应的遗传预测指标

Mechanisms of disease: genetic predictors of response to treatment in brain tumors.

作者信息

Collins V Peter

机构信息

Department of Pathology, University of Cambridge, Cambridge, UK.

出版信息

Nat Clin Pract Oncol. 2007 Jun;4(6):362-74. doi: 10.1038/ncponc0820.

Abstract

Brain tumors are currently diagnosed on the basis of their histology. The most common types in adults are astrocytomas, oligodendrogliomas and oligoastrocytomas or mixed tumors, which almost invariably lead to death. Improvements in outcome have been elusive despite intensive research. Recent findings indicate that response to conventional therapy, at least in some cases, correlates better with genetic characteristics than histopathology. An understanding of the molecular mechanisms that underlie the malignant phenotype of gliomas also provides the possibility of rational design of molecularly targeted therapies. This approach has proved successful in other areas of oncology. As many tumors have the same types of molecular abnormalities, molecular targeted therapies developed for nonbrain tumor types might be adapted for the treatment of brain tumors. There are a number of unique problems involved in treating tumors in the brain that must be overcome. The genetic predictors of response to conventional therapies, the genes and cellular mechanisms involved in glioma development, and potential therapeutic targets are reviewed. The possibility of designing tailored molecular therapy based on the molecular characteristics of the tumors is also explored.

摘要

脑肿瘤目前是根据其组织学进行诊断的。成人中最常见的类型是星形细胞瘤、少突胶质细胞瘤和少突星形细胞瘤或混合性肿瘤,这些几乎无一例外会导致死亡。尽管进行了深入研究,但治疗效果的改善仍难以实现。最近的研究结果表明,至少在某些情况下,对传统治疗的反应与基因特征的相关性比对组织病理学的相关性更好。了解胶质瘤恶性表型背后的分子机制也为合理设计分子靶向治疗提供了可能性。这种方法在肿瘤学的其他领域已被证明是成功的。由于许多肿瘤具有相同类型的分子异常,为非脑肿瘤类型开发的分子靶向治疗可能适用于脑肿瘤的治疗。治疗脑肿瘤存在一些必须克服的独特问题。本文综述了对传统治疗反应的基因预测指标、胶质瘤发生过程中涉及的基因和细胞机制以及潜在的治疗靶点。还探讨了根据肿瘤的分子特征设计个性化分子治疗的可能性。

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