Meredith Anna M, Beeler-Marfisi Janet, Berke Olaf, Mutsaers Anthony J, Bienzle Dorothee
University of Guelph, Guelph, ON, Canada.
Vet Pathol. 2025 Jan;62(1):64-73. doi: 10.1177/03009858241277982. Epub 2024 Sep 18.
Myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) are heterogeneous neoplasms of hematopoietic stem cells that are challenging to diagnose, differentiate, and prognosticate. Cytogenetic and mutational analyses are useful in humans but unavailable for dogs, where diagnosis and classification still rely largely on hematologic and morphologic assessment. The objectives of this study were to apply a classification scheme to myeloid neoplasms and to assess outcome in relation to predictor variables. Keyword search of a laboratory database, application of sequential exclusion criteria, and consensus from 3 reviewers yielded 70 cases of myeloid neoplasia with hematology results, and cytologic (11), histologic (14), or both (45) types of marrow specimens. Based on blast percentage and morphology, 42 cases were classified as MDS and 28 as AML. Dogs with MDS had significantly lower body weights, hemoglobin concentrations and blood blasts, and higher red blood cell size variability and platelet numbers than dogs with AML. Estimates of median survival using Kaplan-Meier curves for dogs with MDS and AML were 384 and 6 days, respectively ( < .001). The instantaneous risk of death for dogs with MDS was approximately 5× lower than that of dogs with AML. Significant predictor variables of survival were body weight, white blood cell count, platelet count, and percent blood blasts ( < .05). Hazard ratios (HRs) derived from best-fitting Cox regression models were 1.043, 0.998, and 1.061 for increased neutrophils, decreased platelets, and increased blood blasts, respectively. Findings from this study suggest that hematologic and morphologic variables are useful to predict outcomes in myeloid neoplasia.
骨髓增生异常综合征(MDS)和急性髓系白血病(AML)是造血干细胞的异质性肿瘤,其诊断、鉴别和预后评估具有挑战性。细胞遗传学和突变分析对人类有用,但犬类无法进行,犬类的诊断和分类仍主要依赖血液学和形态学评估。本研究的目的是将一种分类方案应用于髓系肿瘤,并评估与预测变量相关的预后。通过对实验室数据库进行关键词搜索、应用序贯排除标准以及3位审阅者达成共识,获得了70例有血液学结果以及有细胞学(11例)、组织学(14例)或两者(45例)类型骨髓标本的髓系肿瘤病例。根据原始细胞百分比和形态,42例被分类为MDS,28例被分类为AML。与AML犬相比,MDS犬的体重、血红蛋白浓度和血原始细胞显著更低,红细胞大小变异性和血小板数量更高。使用Kaplan-Meier曲线估计,MDS犬和AML犬的中位生存期分别为384天和6天(P<0.001)。MDS犬的瞬时死亡风险比AML犬低约5倍。生存的显著预测变量为体重、白细胞计数、血小板计数和血原始细胞百分比(P<0.05)。最佳拟合Cox回归模型得出的中性粒细胞增加、血小板减少和血原始细胞增加的风险比(HR)分别为1.043、0.998和1.061。本研究结果表明,血液学和形态学变量有助于预测髓系肿瘤的预后。