Avenarius Matthew R, Abrams Zachary B, Guo Ling, Blachly James S, Miller Cecelia R, Heerema Nyla A, Tang Guilin, Coombes Kevin R, Abruzzo Lynne V
Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Institute for Informatics, Washington University in St. Louis, St. Louis, MO 63110, USA.
Cancers (Basel). 2025 Apr 10;17(8):1277. doi: 10.3390/cancers17081277.
BACKGROUND/OBJECTIVES: Tetraploidy (4n = 92 chromosomes) and near-tetraploidy (81-103 chromosomes) (T/NT) are uncommon cytogenetic events in MDS/AML (~1%). Abnormalities reported to be associated with T/NT MDS/AML include -5/del(5q), -7/del(7q), +8, and +21. However, other clinically relevant abnormalities likely remain "hidden" in long strings of ISCN cytogenetic nomenclature when evaluated visually. To date, no studies have had the statistical power and a computational method to identify novel recurrent abnormalities associated with the T/NT karyotype or overall survival (OS).
Using CytoGPS, a bioinformatic tool we developed, we converted karyotypes from a combined cohort of 75 T/NT MDS/AML cases from two institutions into a binary Loss-Gain-Fusion model, which is analyzable using computational methods.
On univariate analyses, age as a continuous variable ( = 0.032), prior treatment ( = 0.011), and cohort ( = 0.025) were associated with OS; age ≥ 60 years ( = 0.316), gender ( = 0.916), karyotypic complexity ( = 0.175), time from diagnosis to T/NT karyotype identification ( = 0.419), and clone size ( = 0.316) had no effect. Univariate analyses of karyotypes demonstrated that -5, -16, -18, del(11)(p15.1p15.4), del(13)(q12.11q22.3), and +8 were associated with poorer OS (unadjusted < 0.05).
Using the results of univariate analyses to build multivariate models of OS, the best predictor of OS was the presence of any one of these six cytogenetic abnormalities.
背景/目的:四倍体(4n = 92条染色体)和近四倍体(81 - 103条染色体)(T/NT)是骨髓增生异常综合征/急性髓系白血病(MDS/AML)中不常见的细胞遗传学事件(约1%)。据报道,与T/NT MDS/AML相关的异常包括-5/del(5q)、-7/del(7q)、+8和+21。然而,在视觉评估时,其他临床相关异常可能仍隐藏在冗长的国际细胞遗传学命名法(ISCN)字符串中。迄今为止,尚无研究具备统计能力和计算方法来识别与T/NT核型或总生存期(OS)相关的新的复发性异常。
我们使用自行开发的生物信息学工具CytoGPS,将来自两个机构的75例T/NT MDS/AML病例的联合队列中的核型转换为二元缺失-获得-融合模型,该模型可用计算方法进行分析。
在单变量分析中,作为连续变量的年龄(P = 0.032)、既往治疗(P = 0.011)和队列(P = 0.025)与总生存期相关;年龄≥60岁(P = 0.316)、性别(P = 0.916)、核型复杂性(P = 0.175)、从诊断到识别T/NT核型的时间(P = 0.419)和克隆大小(P = 0.316)均无影响。核型的单变量分析表明,-5、-16、-18、del(11)(p15.1p15.4)、del(13)(q12.11q22.3)和+8与较差的总生存期相关(未校正P < 0.05)。
利用单变量分析结果构建总生存期的多变量模型,总生存期的最佳预测指标是这六种细胞遗传学异常中的任何一种的存在。