Samdani A, Vijapurkar U, Grimm M A, Spier C S, Grogan T M, Glinsmann-Gibson B J, List A F
Arizona Cancer Center, University of Arizona College of Medicine, Tucson, 85724, USA.
Leuk Res. 1996 Feb;20(2):175-80. doi: 10.1016/0145-2126(95)00134-4.
Clinical and biological features have recognized prognostic significance in acute myeloid leukemia (AML). To evaluate the interaction of these variables and weighted effect on treatment outcome, prognostic variables from 96 previously untreated patients were analyzed for association with expression of the MDR1 gene product P-glycoprotein (Pgp), and effect on response to induction chemotherapy, progression-free survival and overall survival. Multivariate relationships were analyzed using six prognostic variables, including age, cytogenetic pattern, gender, CD34+ surface phenotype, AML type (de novo versus secondary) and Pgp. Univariate comparisons indicate that Pgp (P = 0.0001), cytogenetic pattern (P = 0.0004) and a Cd34+ phenotype (P = 0.0005) are predictive of primary treatment failure, whereas Pgp (P = 0.0001) had the greatest predictive value in multivariate analysis. Only cytogenetic pattern retained prognostic significance (P = 0.0143) for response to induction therapy after adjustment for Pgp. Although all variable except gender were associated with Pgp, specimens harboring the favorable karyotypic abnormalities t(15;17), t(8;21) and inv(16) exclusively lacked Pgp expression. In a multivariate model, both Pgp and cytogenetic pattern predicted response and overall survival, whereas secondary AML and cytogenetic pattern influenced remission duration. These findings indicate that cytogenetic has prognostic relevance that is independent of Pgp, and implies the presence of undefined biological mechanisms affecting chemotherapy resistance.
临床和生物学特征在急性髓系白血病(AML)中具有公认的预后意义。为了评估这些变量之间的相互作用及其对治疗结果的加权影响,对96例先前未接受治疗的患者的预后变量进行了分析,以确定其与多药耐药基因1(MDR1)产物P-糖蛋白(Pgp)表达的相关性,以及对诱导化疗反应、无进展生存期和总生存期的影响。使用六个预后变量进行多变量关系分析,包括年龄、细胞遗传学模式、性别、CD34+表面表型、AML类型(初发与继发)和Pgp。单变量比较表明,Pgp(P = 0.0001)、细胞遗传学模式(P = 0.0004)和CD34+表型(P = 0.0005)可预测初次治疗失败,而在多变量分析中Pgp(P = 0.0001)具有最大的预测价值。在对Pgp进行校正后,只有细胞遗传学模式对诱导治疗反应仍具有预后意义(P = 0.0143)。尽管除性别外的所有变量均与Pgp相关,但具有良好核型异常t(15;17)、t(8;21)和inv(16)的标本唯独缺乏Pgp表达。在多变量模型中,Pgp和细胞遗传学模式均可预测反应和总生存期,而继发性AML和细胞遗传学模式影响缓解持续时间。这些发现表明,细胞遗传学具有独立于Pgp的预后相关性,并提示存在影响化疗耐药性的未明确生物学机制。