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The paradigm of personalized therapy in oncology.

机译:肿瘤学中个性化治疗的范式。

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INTRODUCTION: Currently, anticancer therapy is mainly based on histology and on giving the same treatment to presumed homogeneous patients. The switch from histology-driven therapy to molecular clinical oncology is correlated with a better understanding of the 'molecular taxonomy' of each tumor that can provide us with targets for specific drugs. Cancer therapy is moving irreversibly towards personalized therapy that benefits selected patients. Once the potential therapeutic targets are identified, the availability of predictive biomarkers is the key element and their prospective evaluation should be a parallel component of the clinical evaluation of a new drug. AREAS COVERED: The state of the art in clinical results of personalized therapy. The authors discuss the finding that, in patients with advanced disease, a limited number of targeted agents improve overall survival, whilst the majority only have an effect on response rate and/or time to tumor progression, with efficacy limited in time due to acquired resistance. EXPERT OPINION: The mechanisms leading to resistance are related to tumor cell heterogeneity and in part explained by the cancer stem cell model and genetic instability. The steps toward the optimization of tailored therapy need validated predictive biomarkers, pharmacogenetics analysis and a close collaboration between bench and bedside.
机译:介绍:目前,抗癌疗法主要基于组织学和对均匀患者的同样治疗。从组织学驱动的疗法到分子临床肿瘤的切换是相关的,以更好地了解每个肿瘤的“分子分类法”,可以为我们提供特定药物的目标。癌症治疗是不可逆转地移动到个性化疗法的个性化治疗中。一旦确定了潜在的治疗目标,预测生物标志物的可用性是关键要素,其前瞻性评估应该是新药物临床评价的平行组分。涵盖的地区:个性化治疗的临床结果中的最先进结果。作者讨论了,在先进的疾病患者中,有限数量的靶向剂改善整体存活,而大多数只有对肿瘤进展的反应率和/或时间产生影响,并且功效随着获得性阻力而受到限制。专家意见:导致抗性的机制与肿瘤细胞异质性有关,部分是由癌症干细胞模型和遗传不稳定解释的。朝向定制治疗优化的步骤需要验证预测性生物标志物,药物原始分析和长凳和床边的密切合作。

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