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Using plasma proteomic pattern for diagnosis, classification, prediction of response to therapy and clinical behavior, stratification of therapy, and monitoring disease in hematologic malignancies

机译:使用血浆蛋白质组学模式进行血液恶性肿瘤的诊断,分类,对治疗和临床行为的反应预测,治疗分层以及监测疾病

摘要

The present invention demonstrates that the diagnosis and prediction of clinical behavior in patients with hematologic malignancies, such as leukemia, can be accomplished by analysis of proteins present in a plasma sample. Thus, in particular embodiments the present invention uses plasma to create a diagnostic or prognostic protein profile of a hematologic malignancy comprising collecting plasma samples from a population of patients with hematologic malignancies; generating protein spectra from the plasma samples with or without fractionation; comparing the protein spectra with clinical data; and identifying protein markers in the plasma samples that correlate with the clinical data. Protein markers identified by this approach can then be used to create a protein profile that can be used to diagnose the hematologic malignancy or determine the prognosis of the hematologic malignancy. Potentially these specific proteins can be identified and targeted in the therapy of these malignancies.
机译:本发明证明,通过分析血浆样品中存在的蛋白质,可以对血液系统恶性肿瘤例如白血病的患者的临床行为进行诊断和预测。因此,在特定的实施方案中,本发明使用血浆来创建血液系统恶性肿瘤的诊断或预后蛋白谱,包括从患有血液系统恶性肿瘤的患者群体中收集血浆样品。从血浆样品中分离或不分离产生蛋白质光谱;将蛋白质光谱与临床数据进行比较;在血浆样品中鉴定与临床数据相关的蛋白质标记。然后可以将通过这种方法鉴定出的蛋白质标记物用于创建蛋白质谱,将其用于诊断血液系统恶性肿瘤或确定血液系统恶性肿瘤的预后。这些特异性蛋白质可能在这些恶性肿瘤的治疗中被鉴定和靶向。

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