Paguirigan Amy L, Smith Jordan, Meshinchi Soheil, Carroll Martin, Maley Carlo, Radich Jerald P
Fred Hutchinson Cancer Research Center, Seattle, WA 98117, USA.
University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sci Transl Med. 2015 Apr 1;7(281):281re2. doi: 10.1126/scitranslmed.aaa0763.
Clonal evolution in cancer-the selection for and emergence of increasingly malignant clones during progression and therapy, resulting in cancer metastasis and relapse-has been highlighted as an important phenomenon in the biology of leukemia and other cancers. Tracking mutant alleles to determine clonality from diagnosis to relapse or from primary site to metastases in a sensitive and quantitative manner is most often performed using next-generation sequencing. Such methods determine clonal frequencies by extrapolation of allele frequencies in sequencing data of DNA from the metagenome of bulk tumor samples using a set of assumptions. The computational framework that is usually used assumes specific patterns in the order of acquisition of unique mutational events and heterozygosity of mutations in single cells. However, these assumptions are not accurate for all mutant loci in acute myeloid leukemia (AML) samples. To assess whether current models of clonal diversity within individual AML samples are appropriate for common mutations, we developed protocols to directly genotype AML single cells. Single-cell analysis demonstrates that mutations of FLT3 and NPM1 occur in both homozygous and heterozygous states, distributed among at least nine distinct clonal populations in all samples analyzed. There appears to be convergent evolution and differential evolutionary trajectories for cells containing mutations at different loci. This work suggests an underlying tumor heterogeneity beyond what is currently understood in AML, which may be important in the development of therapeutic approaches to eliminate leukemic cell burden and control clonal evolution-induced relapse.
癌症中的克隆进化——即在癌症进展和治疗过程中,越来越恶性的克隆的选择和出现,导致癌症转移和复发——已被视为白血病和其他癌症生物学中的一个重要现象。追踪突变等位基因,以灵敏且定量的方式确定从诊断到复发或从原发部位到转移灶的克隆性,通常使用下一代测序技术来进行。此类方法通过一组假设,外推来自大量肿瘤样本宏基因组的DNA测序数据中的等位基因频率来确定克隆频率。通常使用的计算框架假定了单细胞中独特突变事件的获取顺序和突变杂合性的特定模式。然而,这些假设对于急性髓系白血病(AML)样本中的所有突变位点并不准确。为了评估当前AML个体样本内克隆多样性模型是否适用于常见突变,我们开发了直接对AML单细胞进行基因分型的方案。单细胞分析表明,FLT3和NPM1的突变以纯合和杂合状态出现,分布在所分析的所有样本中的至少九个不同克隆群体中。对于不同位点含有突变的细胞,似乎存在趋同进化和不同的进化轨迹。这项工作表明,AML中存在一种目前尚未被理解的潜在肿瘤异质性,这对于开发消除白血病细胞负荷和控制克隆进化诱导的复发的治疗方法可能很重要。