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Genomic signatures for individualized treatment of malignant tumors.

机译:个体化治疗恶性肿瘤的基因组特征。

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摘要

In recent years, significant progresses have been achieved in clinical oncology due to a plethora of new chemotherapeutic drugs and agents for targeted therapy. However, clinical response and overall survival rates have not improved significantly for a large number of different tumors. This may at least in part be due to the enormous genetic heterogeneity among tumors, even within a tumor entity. Moreover, besides individual somatic mutations or combinations of these in malignant tumors, the genetic background of each individual cancer patient appears to have a major impact on treatment response and overall survival. Current DNA microarray technology allows the simultaneous gene expression analysis of all known genes, and large-scale gene expression studies have provided new molecular classifications for a series of different tumors. Evidence has also been provided that gene expression signatures of malignant tumors may predict treatment response to classical chemotherapeutic or targeted anticancer drugs. The presented report summarizes the current knowledge about the role of gene expression signatures as putative guides for treatment decisions, with the future prospect of individualized treatment approaches for cancer patients.
机译:近年来,由于大量新的化疗药物和靶向治疗药物的出现,临床肿瘤学取得了重大进展。但是,对于许多不同的肿瘤,临床反应和总生存率并未显着提高。这可能至少部分是由于即使在肿瘤实体内,肿瘤之间的巨大遗传异质性。此外,除了恶性肿瘤中的个体体细胞突变或这些的组合以外,每个个体癌症患者的遗传背景似乎对治疗反应和总体存活率也具有重要影响。当前的DNA微阵列技术允许对所有已知基因进行同时的基因表达分析,并且大规模的基因表达研究为一系列不同的肿瘤提供了新的分子分类。还提供了证据表明恶性肿瘤的基因表达特征可以预测对经典化疗药物或靶向抗癌药物的治疗反应。这份报告总结了有关基因表达签名作为治疗决策的指导性角色的最新知识,以及针对癌症患者的个体化治疗方法的未来前景。

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