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Identifying High-Risk Chronic Lymphocytic Leukemia: A Pathogenesis-Oriented Appraisal of Prognostic and Predictive Factors in Patients Treated with Chemotherapy with or without Immunotherapy

机译:识别高危慢性淋巴细胞白血病:接受或不接受免疫治疗的化疗患者预后和预测因素的病原性评估

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摘要

Chronic lymphocytic leukemia (CLL) displays an extremely variable clinical behaviour. Accurate prognostication and prediction of response to treatment are important in an era of effective first-line regimens and novel molecules for high risk patients. Because a plethora of prognostic biomarkers were identified, but few of them were validated by multivariable analysis in comprehensive prospective studies, we applied in this survey stringent criteria to select papers from the literature in order to identify the most reproducible prognostic/predictive markers. Each biomarker was analysed in terms of reproducibility across the different studies with respect to its impact on time to first treatment (TTFT), progression free survival (PFS), overall survival (OS) and response to treatment. We were able to identify the following biomarkers as the most reliable in guiding risk stratification in the daily clinical practice: 17p-/TP53 mutations, IGHV unmutated configuration, short telomeres and 11q-. However, the method for measuring telomere length was not validated yet and 11q- was predictive of inferior OS only in those patients who did not receive FCR-like combinations. Stage and lymphocytosis were predictive of shorter TTFT and age, high serum thymidine kinase levels and poor performance status were predictive of shorter OS. Using our criteria no parameter was found to independently predict for inferior response to treatment.
机译:慢性淋巴细胞性白血病(CLL)表现出极为不同的临床行为。在有效的一线治疗方案和高风险患者新型分子的时代,准确的预后和对治疗反应的预测很重要。由于已鉴定出多种预后生物标志物,但在全面的前瞻性研究中通过多变量分析对其进行了验证,因此我们在这项调查中应用了严格的标准,从文献中选择论文以鉴定出最可重复的预后/预测性标志物。就不同生物标记物对首次治疗时间(TTFT),无进展生存期(PFS),总生存期(OS)和对治疗的反应的影响,在不同研究中的可重复性方面对每种生物标记物进行了分析。在日常临床实践中,我们能够鉴定出以下最可靠的生物标记物来指导风险分层:17p- / TP53突变,IGHV未突变构型,端粒短和11q-。但是,端粒长度的测量方法尚未得到验证,并且11q-仅在未接受FCR样组合的患者中可预测OS较差。分期和淋巴细胞增多可预测TTFT和年龄的缩短,血清胸腺嘧啶激酶水平高和表现状态差可预测OS较短。使用我们的标准,未发现任何参数可独立预测对治疗的不良反应。

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