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The paradigm of personalized therapy in oncology.

机译:肿瘤学个性化治疗的范例。

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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:引言:目前,抗癌治疗主要基于组织学,并对假定的均质患者给予相同的治疗。从组织学驱动疗法向分子临床肿瘤学的转变与对每个肿瘤的“分子分类学”的更好理解相关,可以为我们提供特定药物的靶标。癌症治疗正在不可逆转地朝着使选定患者受益的个性化治疗的方向发展。一旦确定了潜在的治疗目标,预测性生物标志物的可用性便成为关键要素,其前瞻性评估应成为新药临床评估的平行组成部分。涵盖的领域:个性化治疗的临床成果的最新水平。作者讨论了以下发现:在患有晚期疾病的患者中,有限数量的靶向药物可改善总体生存率,而大多数仅对肿瘤的反应率和/或进展时间有影响,而疗效由于获得性耐药而在时间上受到限制。专家意见:导致抗药性的机制与肿瘤细胞异质性有关,部分原因是癌症干细胞模型和遗传不稳定性。优化量身定制治疗的步骤需要经过验证的预测性生物标志物,药物遗传学分析以及工作台和床旁的密切合作。

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