Nodality Inc., South San Francisco, CA, USA.
Haematologica. 2013 Apr;98(4):626-34. doi: 10.3324/haematol.2012.071910. Epub 2012 Nov 9.
While many prognostic markers in B-cell chronic lymphocytic leukemia provide insight into the biology of the disease, few have been demonstrated to be useful in the daily management of patients. B-cell receptor signaling is a driving event in the progression of B-cell chronic lymphocytic leukemia and markers of B-cell receptor responsiveness have been shown to be of prognostic value. Single cell network profiling, a multiparametric flow cytometry-based assay, allows functional signaling analysis at the level of the single cell. B-cell receptor signaling proteins (i.e. p-SYK, p-NF-κB p65, p-ERK, p-p38, p-JNK) were functionally characterized by single cell network profiling in samples from patients with B-cell chronic lymphocytic leukemia in an exploratory study (n=27) after stimulation with anti-IgM. Significant associations of single cell network profiling data with clinical outcome (i.e. time to first treatment), as assessed by Cox regression models, were then confirmed in patients' samples in two other sequential independent studies, i.e. test study 1 (n=30), and test study 2 (n=37). In the exploratory study, higher responsiveness of the B-cell receptor signaling proteins to anti-IgM was associated with poor clinical outcomes. Patients' clustering based on signaling response was at least as powerful in discriminating different disease courses as traditional prognostic markers. In an unselected subgroup of patients with Binet stage A disease (n=21), increased anti-IgM-modulated p-ERK signaling was shown to be a significant, independent predictor of shorter time to first treatment. This result was independently confirmed in two test cohorts from distinct populations of patients. In conclusion, these findings support the utility of the single cell network profiling assay in elucidating signaling perturbations with the potential for the development of a clinically useful prognostic test in patients with early stage B-cell chronic lymphocytic leukemia. These data support the clinical relevance of B-cell receptor signaling in B-cell chronic lymphocytic leukemia, and suggest a key role of ERK activation in the physiopathology of this leukemia.
虽然 B 细胞慢性淋巴细胞白血病的许多预后标志物能够深入了解疾病的生物学特性,但很少有标志物被证明在患者的日常管理中有用。B 细胞受体信号转导是 B 细胞慢性淋巴细胞白血病进展的驱动事件,B 细胞受体反应性标志物已被证明具有预后价值。单细胞网络分析是一种基于多参数流式细胞术的检测方法,可在单细胞水平上进行功能信号分析。在一项探索性研究中(n=27),我们用抗 IgM 刺激 B 细胞慢性淋巴细胞白血病患者的样本,通过单细胞网络分析对 B 细胞受体信号转导蛋白(即 p-SYK、p-NF-κB p65、p-ERK、p-p38、p-JNK)进行了功能特征分析。然后,我们使用 Cox 回归模型在另外两项独立的后续研究(即测试研究 1 [n=30]和测试研究 2 [n=37])中对患者样本中的单细胞网络分析数据与临床结果(即首次治疗时间)之间的显著相关性进行了确认。在探索性研究中,B 细胞受体信号转导蛋白对抗 IgM 的反应性越高,临床结局越差。根据信号反应对患者进行聚类,在区分不同疾病过程方面至少与传统预后标志物一样有效。在未经选择的 Binet 期 A 疾病患者亚组(n=21)中,增加的抗 IgM 调节的 p-ERK 信号被证明是首次治疗时间较短的显著独立预测因素。这一结果在来自两个不同患者群体的两个测试队列中得到了独立验证。总之,这些发现支持单细胞网络分析检测在阐明潜在的具有临床意义的早期 B 细胞慢性淋巴细胞白血病预后检测中的信号扰动的效用。这些数据支持 B 细胞受体信号在 B 细胞慢性淋巴细胞白血病中的临床相关性,并提示 ERK 激活在这种白血病的病理生理学中起关键作用。