Basharat Maria, Khan Saleem Ahmed, Din Nasir Ud, Ahmed Dawood
Maria Basharat, MBBS. Pathology Department, Army Medical College, National University of Medical Sciences, Islamabad, Pakistan.
Saleem Ahmed Khan, MBBS, MCPS, FCPS, FRCP, PhD. Pathology Department, Army Medical College, National University of Medical Sciences, Islamabad, Pakistan.
Pak J Med Sci. 2019 Mar-Apr;35(2):470-476. doi: 10.12669/pjms.35.2.614.
To determine immunophenotypic pattern in newly diagnosed cases of acute myeloid leukaemia by flow cytometry and its correlation with morphological findings.
This study was conducted at Haematology (Pathology) department, Army Medical College, in collaboration with Immunology Department Armed Forces Institute of Pathology, Rawalpindi from 16 November 2016 to 16 November 2017. One hundred and six patients of both genders and all age groups diagnosed as acute myeloid leukaemia were included in the study. Demographic data was noted. Complete blood counts, bone marrow examination and cytochemical stains were carried out and evaluated microscopically for blast percentage and morphology. Immunophenotyping was performed by flow cytometry using standard panel on peripheral blood or bone marrow samples. The surface and cytoplasmic antigens of interest were analysed and correlated with morphological findings.
The most commonly expressed antigens were CD13, CD33, CD45 and HLA-DR. Almost all blasts expressed CD45 with no remarkable difference among the subtypes of AML. The mean positivity for CD13 among all AML subtypes was 57% and for CD33 was 67%. Aberrant expression of CD7 and CD19 were expressed in 26.4% and 1.1% of all cases respectively. There was concordance rate of 90% between morphology and FCM in our study.
Flow cytometric analysis of acute leukaemia done by a combination of patterns and intensity of antigen expression improves diagnostic yield in AML. CD13, CD33 and CD45 are the most frequently expressed antigens in AML. Our findings suggest a 90% concordance between morphology and flow cytometry. It is pertinent to conclude that flow cytometry results interpreted with morphology are complementary.
通过流式细胞术确定新诊断的急性髓系白血病病例的免疫表型模式及其与形态学结果的相关性。
本研究于2016年11月16日至2017年11月16日在陆军医学院血液学(病理学)科与拉瓦尔品第武装部队病理研究所免疫学系合作进行。106例各年龄组、男女均有的急性髓系白血病患者纳入研究。记录人口统计学数据。进行全血细胞计数、骨髓检查和细胞化学染色,并在显微镜下评估原始细胞百分比和形态。使用标准检测板对外周血或骨髓样本进行流式细胞术免疫表型分析。分析感兴趣的表面和细胞质抗原,并与形态学结果进行相关性分析。
最常表达的抗原是CD13、CD33、CD45和HLA-DR。几乎所有原始细胞都表达CD45,急性髓系白血病各亚型之间无明显差异。所有急性髓系白血病亚型中CD13的平均阳性率为57%,CD33为67%。CD7和CD19的异常表达分别在所有病例的26.4%和1.1%中出现。在我们的研究中,形态学和流式细胞术之间的符合率为90%。
通过抗原表达模式和强度相结合的方式对急性白血病进行流式细胞术分析可提高急性髓系白血病的诊断率。CD13、CD33和CD45是急性髓系白血病中最常表达的抗原。我们的研究结果表明形态学和流式细胞术之间的符合率为90%。可以得出结论,结合形态学解释的流式细胞术结果具有互补性。