Patient toxicity prediction: Identification of mucosal injury mediators using microarray technology

患者毒性预测：利用微阵列技术鉴定粘膜损伤介质

• 批准号: nhmrc : 539805
• 负责人: A/Pr Joanne Bowen
• 金额: $ 19.51万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Early Career Fellowships
• 财政年份: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/patient-toxicity-prediction-microarray-technology/115861
• 关键词: Patient; toxicity; prediction; Identification; mucosal

There is no effective way to identify all patients that will develop toxic side-effects during the course of their cancer treatment. Current pharmacogenetic testing is too narrow. This project aims to examine whole-genome profiles of patient blood to determine if risk markers of toxicity can be identified prior to beginning treatment. I will do this by comparing oesophageal cancer patients who go on to develop severe toxicity with those who only get mild treatment side-effects.

没有有效的方法来识别所有在癌症治疗过程中会出现毒副作用的患者。目前的药物遗传学测试范围太窄。该项目旨在检查患者血液的全基因组图谱，以确定是否可以在开始治疗之前识别毒性风险标志物。我将通过比较继续出现严重毒性的食道癌患者与仅出现轻微治疗副作用的患者来做到这一点。