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Diagnostic markers predictive of outcomes in colorectal cancer treatment and progression and methods of use thereof

机译:预测大肠癌治疗和进展的诊断标志物及其使用方法

摘要

Colorectal cancer patients with operable tumors must decide whether to receive adjuvant therapy after surgical resection in order to reduce their chances of recurrence. Current clinical guidelines are crudely based on the stage of the disease, as well as a few other clinicopathologic features. The instant invention integrates data from these clinicopathologic features with data on multiple biomarkers using advanced informatic methods to provide a far more accurate prediction of recurrence than the current guidelines. The instant invention consists of a panel of biomarker assays plus an algorithm into which the scored biomarker data, as well as standard clinicopathologic data, is entered. A tumor sample from an individual patient is submitted for test, and an individualized report is produced with a prognostic score that accurately reflects the patient's risk of recurrence. This helps guide the patient and his/her oncologist in their choice of whether to receive adjuvant treatment. Low-risk patients are spared the unnecessary toxicities associated with cytotoxic treatments, and high-risk patients are given the best chance for a cure, maximizing both life expectancy and quality of life.
机译:患有可手术肿瘤的大肠癌患者必须决定在手术切除后是否接受辅助治疗,以减少其复发机会。当前的临床指南主要基于疾病的阶段以及其他一些临床病理特征。本发明使用先进的信息学方法将来自这些临床病理特征的数据与关于多个生物标志物的数据进行整合,以提供比当前指南更准确的复发预测。本发明包括一组生物标志物测定法和一种算法,将计分的生物标志物数据以及标准的临床病理数据输入其中。将来自单个患者的肿瘤样品提交进行测试,并生成具有准确反映患者复发风险的预后评分的个性化报告。这有助于指导患者及其肿瘤医师选择是否接受辅助治疗。低风险的患者避免了与细胞毒性治疗相关的不必要的毒性,而高风险的患者则获得了治愈的最佳机会,从而最大化了预期寿命和生活质量。

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