Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.
Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
Stem Cells Transl Med. 2023 Jun 15;12(6):334-354. doi: 10.1093/stcltm/szad022.
Screening of primary patient acute myeloid leukemia (AML) cells is challenging based on intrinsic characteristics of human AML disease and patient-specific conditions required to sustain AML cells in culture. This is further complicated by inter- and intra-patient heterogeneity, and "contaminating" normal cells devoid of molecular AML mutations. Derivation of induced pluripotent stem cells (iPSCs) from human somatic cells has provided approaches for the development of patient-specific models of disease biology and has recently included AML. Although reprogramming patient-derived cancer cells to pluripotency allows for aspects of disease modeling, the major limitation preventing applications and deeper insights using AML-iPSCs is the rarity of success and limited subtypes of AML disease that can be captured by reprogramming to date. Here, we tested and refined methods including de novo, xenografting, naïve versus prime states and prospective isolation for reprogramming AML cells using a total of 22 AML patient samples representing the wide variety of cytogenetic abnormalities. These efforts allowed us to derive genetically matched healthy control (isogenic) lines and capture clones found originally in patients with AML. Using fluorescently activated cell sorting, we revealed that AML reprogramming is linked to the differentiation state of diseased tissue, where use of myeloid marker CD33 compared to the stem cell marker, CD34, reduces reprogramming capture of AML+ clones. Our efforts provide a platform for further optimization of AML-iPSC generation, and a unique library of iPSC derived from patients with AML for detailed cellular and molecular study.
基于人类 AML 疾病的固有特征以及在培养中维持 AML 细胞所需的患者特定条件,对原发性 AML 细胞进行筛选具有挑战性。这进一步因患者间和患者内的异质性以及缺乏分子 AML 突变的“污染”正常细胞而变得复杂。从人类体细胞中诱导多能干细胞(iPSC)的衍生为疾病生物学的患者特异性模型的发展提供了方法,并最近包括 AML。尽管将患者来源的癌细胞重编程为多能性允许进行疾病建模的某些方面,但阻止使用 AML-iPSC 进行应用和更深入的见解的主要限制是成功的罕见性和迄今为止可以通过重编程捕获的 AML 疾病亚型有限。在这里,我们测试和改进了方法,包括从头开始、异种移植、幼稚与原始状态以及前瞻性分离,共使用 22 个 AML 患者样本代表了广泛的细胞遗传学异常。这些努力使我们能够获得遗传匹配的健康对照(同基因)系,并捕获最初在 AML 患者中发现的克隆。通过荧光激活细胞分选,我们揭示了 AML 重编程与疾病组织的分化状态有关,与干细胞标志物 CD34 相比,使用髓系标志物 CD33 可降低 AML+克隆的重编程捕获。我们的努力为进一步优化 AML-iPSC 的生成提供了一个平台,并为 AML 患者来源的 iPSC 提供了一个独特的文库,用于详细的细胞和分子研究。