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Optimising Outcomes in Chronic Myeloid Leukaemia Through Rational Drug Selection Using Predictive Assay Results and Maximising Treatment Free Remissions

Optimising Outcomes in Chronic Myeloid Leukaemia Through Rational Drug Selection Using Predictive Assay Results and Maximising Treatment Free Remissions
利用预测分析结果合理选择药物,优化慢性粒细胞白血病的治疗效果,并最大限度地提高无治疗缓解率
批准号:
nhmrc : GNT1146253
负责人:
Dr David Yeung
金额:
$18.94万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Early Career Fellowships
财政年份:
2018
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2018-01-01 至 --

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中文摘要
翻译
尽管慢性髓性白血病的治疗结果一般都很好,但仍存在一些重要问题。在这项资助中,我们建议i)个性化新诊断患者的一线治疗选择,使用可以预测治疗反应的生物标志物;Ii)提高旨在停止治疗的患者的治愈概率,iii)使用超敏感的分子检测疾病以预测疾病复发的风险。
英文摘要
Although outcomes in chronic myeloid leukaemia are generally excellent, a number of important questions remain. In this grant, we propose to i) personalise the selection of frontline treatment for newly diagnosed patients, using biomarkers which can predict treatment response; ii) improve the probability of cure in patients aiming to stop their treatment, and iii) use ultra-sensitive molecular tests for disease detection to predict risk of disease relapse.
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Optimising Outcomes in Chronic Myeloid Leukaemia Through Rational Drug Selection Using Predictive Assay Results and Maximising Treatment Free Remissions
  • 批准号:
    nhmrc : 1146253
  • 项目类别:
    Early Career Fellowships
  • 资助金额:
    $12.91万
  • 财政年份:
    2018
  • 负责人:
    Dr David Yeung
  • 依托单位:
海外基金