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Microarray Therapeutic Index: A novel method to combine molecular and clinical data from cancer patients

机译:微阵列治疗指标:一种结合癌症患者分子和临床资料的新方法

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A new method has been developed that enables combining the microarray and clinical data (e.g., survival months) of cancer patients in order to calculate what is here referred to as the individualized therapeutic index (ITI). The pre-requisite for calculating ITI includes (i) the measurement of the microarray (or micro) therapeutic index, mTI, defined here for the first time, and (ii) the conversion of mTI into ITI through filtering off those genes whose transcript dynamics cause deviations of points from the regression line of the survival months vs. mTI (SmTI) plot. The ability to measure ITI values of drugs opens up new opportunities to improve drug discovery research (i.e., theragnostics) and personalized medicine.
机译:已经开发了一种新方法,使得能够组合癌症患者的微阵列和临床数据(例如,生存月份),以计算此处称为个性化治疗指数(ITI)。计算ITI的预先要求包括(i)首次定义的微阵列(或微)治疗指数,MTI的测量,并通过滤除转录动态的那些基因来转换为ITI的MTI导致点从生存月份的回归线与MTI(SMTI)情节的偏差。测量药物的ITI值的能力开辟了改善药物发现研究的新机会(即,Interagnostics)和个性化医学。

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