Papanikolaou X, Alapat D, Rosenthal A, Stein C, Epstein J, Owens R, Yaccoby S, Johnson S, Bailey C, Heuck C, Tian E, Joiner A, van Rhee F, Khan R, Zangari M, Jethava Y, Waheed S, Davies F, Morgan G, Barlogie B
Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Leukemia. 2015 Aug;29(8):1713-20. doi: 10.1038/leu.2015.65. Epub 2015 Mar 10.
As part of Total Therapy (TT) 3b, baseline marrow aspirates were subjected to two-color flow cytometry of nuclear DNA content and cytoplasmic immunoglobulin (DNA/CIG) as well as plasma cell gene expression profiling (GEP). DNA/CIG-derived parameters, GEP and standard clinical variables were examined for their effects on overall survival (OS) and progression-free survival (PFS). Among DNA/CIG parameters, the percentage of the light chain-restricted (LCR) cells and their cytoplasmic immunoglobulin index (CIg) were linked to poor outcome. In the absence of GEP data, low CIg <2.8, albumin <3.5 g/dl and age ⩾65 years were significantly associated with inferior OS and PFS. When GEP information was included, low CIg survived the model along with GEP70-defined high risk and low albumin. Low CIg was linked to beta-2-microglobulin >5.5 mg/l, a percentage of LCR cells exceeding 50%, C-reactive protein ⩾8 mg/l and GEP-derived high centrosome index. Further analysis revealed an association of low CIg with 12 gene probes implicated in cell cycle regulation, differentiation and drug transportation from which a risk score was developed in TT3b that held prognostic significance also in TT3a, TT2 and HOVON trials, thus validating its general applicability. Low CIg is a powerful new prognostic variable and has identified potentially drug-able targets.
作为全面治疗(TT)3b的一部分,对基线骨髓穿刺样本进行了核DNA含量与细胞质免疫球蛋白的双色流式细胞术检测(DNA/CIG)以及浆细胞基因表达谱分析(GEP)。研究了DNA/CIG衍生参数、GEP和标准临床变量对总生存期(OS)和无进展生存期(PFS)的影响。在DNA/CIG参数中,轻链受限(LCR)细胞的百分比及其细胞质免疫球蛋白指数(CIg)与不良预后相关。在没有GEP数据的情况下,低CIg<2.8、白蛋白<3.5 g/dl和年龄⩾65岁与较差的OS和PFS显著相关。当纳入GEP信息时,低CIg与GEP70定义的高风险和低白蛋白一起在模型中具有显著性。低CIg与β2微球蛋白>5.5 mg/l、LCR细胞百分比超过50%、C反应蛋白⩾8 mg/l以及GEP衍生的高中心体指数相关。进一步分析显示,低CIg与12个涉及细胞周期调控、分化和药物转运的基因探针有关,据此在TT3b中开发了一个风险评分,该评分在TT3a、TT2和HOVON试验中也具有预后意义,从而验证了其普遍适用性。低CIg是一个强大的新预后变量,并已确定了潜在的可药物作用靶点。