scholarly journals Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Kiyomi Morita ◽  
Feng Wang ◽  
Katharina Jahn ◽  
Tianyuan Hu ◽  
Tomoyuki Tanaka ◽  
...  

AbstractClonal diversity is a consequence of cancer cell evolution driven by Darwinian selection. Precise characterization of clonal architecture is essential to understand the evolutionary history of tumor development and its association with treatment resistance. Here, using a single-cell DNA sequencing, we report the clonal architecture and mutational histories of 123 acute myeloid leukemia (AML) patients. The single-cell data reveals cell-level mutation co-occurrence and enables reconstruction of mutational histories characterized by linear and branching patterns of clonal evolution, with the latter including convergent evolution. Through xenotransplantion, we show leukemia initiating capabilities of individual subclones evolving in parallel. Also, by simultaneous single-cell DNA and cell surface protein analysis, we illustrate both genetic and phenotypic evolution in AML. Lastly, single-cell analysis of longitudinal samples reveals underlying evolutionary process of therapeutic resistance. Together, these data unravel clonal diversity and evolution patterns of AML, and highlight their clinical relevance in the era of precision medicine.

Author(s):  
Kiyomi Morita ◽  
Feng Wang ◽  
Katharina Jahn ◽  
Jack Kuipers ◽  
Yuanqing Yan ◽  
...  

SummaryOne of the pervasive features of cancer is the diversity of mutations found in malignant cells within the same tumor; a phenomenon called clonal diversity or intratumor heterogeneity. Clonal diversity allows tumors to adapt to the selective pressure of treatment and likely contributes to the development of treatment resistance and cancer recurrence. Thus, the ability to precisely delineate the clonal substructure of a tumor, including the evolutionary history of its development and the co-occurrence of its mutations, is necessary to understand and overcome treatment resistance. However, DNA sequencing of bulk tumor samples cannot accurately resolve complex clonal architectures. Here, we performed high-throughput single-cell DNA sequencing to quantitatively assess the clonal architecture of acute myeloid leukemia (AML). We sequenced a total of 556,951 cells from 77 patients with AML for 19 genes known to be recurrently mutated in AML. The data revealed clonal relationship among AML driver mutations and identified mutations that often co-occurred (e.g., NPM1/FLT3-ITD, DNMT3A/NPM1, SRSF2/IDH2, and WT1/FLT3-ITD) and those that were mutually exclusive (e.g., NRAS/KRAS, FLT3-D835/ITD, and IDH1/IDH2) at single-cell resolution. Reconstruction of the tumor phylogeny uncovered history of tumor development that is characterized by linear and branching clonal evolution patterns with latter involving functional convergence of separately evolved clones. Analysis of longitudinal samples revealed remodeling of clonal architecture in response to therapeutic pressure that is driven by clonal selection. Furthermore, in this AML cohort, higher clonal diversity (≥4 subclones) was associated with significantly worse overall survival. These data portray clonal relationship, architecture, and evolution of AML driver genes with unprecedented resolution, and illuminate the role of clonal diversity in therapeutic resistance, relapse and clinical outcome in AML.


Author(s):  
Benjamin B. Yellen ◽  
Jon S. Zawistowski ◽  
Eric A. Czech ◽  
Caleb I. Sanford ◽  
Elliott D. SoRelle ◽  
...  

AbstractSingle cell analysis tools have made significant advances in characterizing genomic heterogeneity, however tools for measuring phenotypic heterogeneity have lagged due to the increased difficulty of handling live biology. Here, we report a single cell phenotyping tool capable of measuring image-based clonal properties at scales approaching 100,000 clones per experiment. These advances are achieved by exploiting a novel flow regime in ladder microfluidic networks that, under appropriate conditions, yield a mathematically perfect cell trap. Machine learning and computer vision tools are used to control the imaging hardware and analyze the cellular phenotypic parameters within these images. Using this platform, we quantified the responses of tens of thousands of single cell-derived acute myeloid leukemia (AML) clones to targeted therapy, identifying rare resistance and morphological phenotypes at frequencies down to 0.05%. This approach can be extended to higher-level cellular architectures such as cell pairs and organoids and on-chip live-cell fluorescence assays.


PLoS Genetics ◽  
2014 ◽  
Vol 10 (7) ◽  
pp. e1004462 ◽  
Author(s):  
Andrew E. O. Hughes ◽  
Vincent Magrini ◽  
Ryan Demeter ◽  
Christopher A. Miller ◽  
Robert Fulton ◽  
...  

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1014-1014
Author(s):  
Hélène Boutroux ◽  
Pierre Hirsch ◽  
Chrystele Bilhou-Nabera ◽  
Ruoping Tang ◽  
Fanny Fava ◽  
...  

Abstract Introduction Acute myeloid leukemia (AML) is an aggressive malignancy caused by the accumulation of multiple oncogenetic mutations occurring in a single lineage of hematopoietic progenitors. AML is rare in children and the mutations found are partially different from those in adults, and for some with a lower frequency. Thus, clonal evolution leading to pediatric AML may be specific, and has not been described yet. Methods To define clonal evolution from diagnosis to relapse, we performed whole exome sequencing in matched trio of specimens (diagnosis, germline and relapse) in a 9-years old girl presenting AML FAB M5a with t(9;11)(p22;q23) MLL-AF9 and trisomy 8. At diagnosis, we focused on 3 non-silent somatic mutations candidate for leukemogenesis process, confirmed by Sanger method: EED (R355*), GSDMC (R40*) and ELK1 (3’ UTR). In the same time, we performed cell cultures from bone marrow mononucleated cells at diagnosis. CD34 and CD38 cells were cultured either in liquid long term culture medium (LTC IC) or methylcellulose medium. Results: A total of 512 colonies were collecte. Our 3 interest mutations and trisomy 8 were tracked by allele-specific PCR, and MLL rearrangement detected by FISH, individually in 267 from the 512 colonies. Exploitable results were found in 164 colonies. Through these results in the different cell populations, we were able to establish the clonal architecture at diagnosis. MLL-AF9 fusion and EED mutation were found together as the first concomitant occurring events in the leukemic clone. Then genotyping of the colonies demonstrated that ELK1 mutation, GSDMC mutation, and trisomy 8 were successively acquired. Additional later mutations such as ASXL1 (frameshift), PTPN11 (E76K), EMP2 (3’UTR) and DGCR14 (P314S) were detected in the relapse sample. Discussion The 3 mutations studied in the colonies may impact the progression of the leukemic clone by dysregulating several cellular pathways and networks. First, EED is an essential non-catalytic subunit of the polycomb repressive complex 2 (PRC2) which mediates gene silencing through catalysis of histone H3K27 methylation. PRC2 is known to be enhanced in solid neoplasms such as prostate cancer. On the contrary, in myeloid malignancies and myelodysplasic syndromes, it has been recently demonstrated that mutations involving PRC2 subunits (EED, SUZ12 and EZH1/2) were hypomorphic. These loss-of-functions mutations were responsible for chromatin relaxation and induced transcription of genes promoting self-renewal such as HOXA9. Nevertheless, recent sh-RNA studies in a murine model of MLL-AF9 leukemia demonstrated that residual PRC2 enzymatic activity after EED mutation is needed to unable leukemia growth. These data are coherent with our finding that EED mutation is an early event in leukemogenesis, in cooperation with MLL-AF9 rearrangement. Secondly, ELK1 is targeted by RAS-MAPK pathway, thus its mutation can confer an increased proliferation potential when acquired by the leukemic clone, after its maturation has been blocked and its self-renewal increased through previous MLL rearrangement and EED mutation. Finally, GSDMC may be implicated in monocyte count regulation, and mutated in other neoplasms such as melanoma. As a consequence, it is likely that its mutation occurs lately in the evolution of the monoblastic leukemic clone of our patient. The latest event in the clonal evolution in our patient at diagnosis is the acquisition of trisomy 8. Conclusion This study highlights the clonal evolution in one pediatric AML, and paves the way for further studies to better understand clonal evolution in children. Elucidating, the succession and the cooperation between driver and secondary mutations, is important for both understanding leukemogenesis and developing innovative therapeutic agents targeting founding anomalies in the leukemic clone at its most precocious stage. Moreover, discovering clonal architecture also unable to find new minimal residual disease markers to assess the therapeutic response and risk stratification. Disclosures No relevant conflicts of interest to declare.


2018 ◽  
Author(s):  
Lars Velten ◽  
Benjamin A. Story ◽  
Pablo Hernandez-Malmierca ◽  
Jennifer Milbank ◽  
Malte Paulsen ◽  
...  

The step-wise acquisition of genetic abnormalities in cancer is thought to represent a major driver of disease initiation, relapse and therapy resistance. Acute myeloid leukemia (AML) represents a prime example of an aggressive cancer that develops in a multi-step manner from multipotent hematopoietic progenitors via pre-leukemic intermediates to leukemic cells. While bulk and single-cell genomics provide powerful tools to study the phylogenetics of cancer evolution, the specific transcriptomic changes induced by the accumulation of mutations remain largely unexplored. Here, we introduce MutaSeq, a combined single-cell genetic and transcriptomics platform for the identification of molecular consequences of cancer evolution. Through in-depth profiling of an AML patient, we demonstrate that MutaSeq is capable of: (1) fine-mapping clonal and developmental hierarchies (2) quantifying the ability of leukemic and pre-leukemic clones to give rise to mature lineages and (3) identifying surface markers and mRNA transcripts specific to pre-leukemic, leukemic, and residual healthy cells. The experimental and analytical approach presented here is broadly applicable to other types of cancer, and can help identify targets for eradicating both pre-cancerous and cancerous reservoirs of relapse.


2021 ◽  
Author(s):  
Thomas Stiehl ◽  
Anna Marciniak-Czochra

AbstractAcute myeloid leukemia is an aggressive cancer of the blood forming system. The malignant cell population is composed of multiple clones that evolve over time. Clonal data reflect the mechanisms governing treatment response and relapse. Single cell sequencing provides most direct insights into the clonal composition of the leukemic cells, however it is still not routinely available in clinical practice. In this work we develop a computational algorithm that allows identifying all clonal hierarchies that are compatible with bulk variant allele frequencies measured in a patient sample. The clonal hierarchies represent descendance relations between the different clones and reveal the order in which mutations have been acquired. The proposed computational approach is tested using single cell sequencing data that allow comparing the outcome of the algorithm with the true structure of the clonal hierarchy. We investigate which problems occur during reconstruction of clonal hierarchies from bulk sequencing data. Our results suggest that in many cases only a small number of possible hierarchies fits the bulk data. This implies that bulk sequencing data can be used to obtain insights in clonal evolution.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1043-1043
Author(s):  
Christiane Walter ◽  
Winfried Hofmann ◽  
Katarina Reinhardt ◽  
Dirk Reinhardt ◽  
Nils von Neuhoff

Abstract Introduction: Acute myeloid leukemia (AML) is one of the most frequent forms of leukemia in children younger than 15 years. The detection of several mutations in a blast population of pediatric AML (pAML) is supposed to be caused by a clonal evolution from a leukemic stem cell (LSC) to leukemic blasts. LSC are believed to be more resistant to chemotherapy, to be able to survive during treatment and to be responsible for the emergence of a relapse due to the persistence in the bone marrow (BM) niche. Since LSC and potential leukemic subclones are only present in small subpopulations, it has been a major technical challenge to particular analyse only the specific population. To acquire a better understanding of the underlying mechanisms of mutagenesis, clonal evolution and leukemogenesis, the aim of this study was to establish methods that allow the analysis and detection of mutations in single cells of a subpopulation known to contain HSC as well as LSC (CD34+CD38-). We especially focused on a pAML subgroup with mutations in Nucleophosmin (NPM1) and/or fms related tyrosine kinase 3 (Flt3). Methods and Results: We established methods to perform single cell sorting, whole genome amplification (WGA) using multiple displacement amplification (MDA) technology (Qiagen) and subsequent whole exome sequencing. The sorting efficiency was checked as Hoechst stained cells were sorted onto glas slides with 48 defined spots and the presence of single cells was checked under an inverse fluorescent microscope. Subsequently, single CD34+CD38- patient derived cells were sorted into 0,5ml low binding tubes containing 4µl PBS followed by WGA and whole exome sequencing. The mutational status of the sorted single cells from three patients suffering from pAML was analysed and compared to mutations detected at initial diagnosis in DNA from a bulk of BM cells. WGA from single CD34+CD38-PI- cells resulted in an amount of 29 to 31.7µg DNA from each of five single cells. The quality of the amplified DNA was sufficient for whole exome sequencing. A 4bp insertion in exon 12 of NPM1 reflecting a common NPM1 mutation (MutA) initially detected from a bulk of cells was identified in amplified DNA from single cells using whole exome sequencing in 2/3 patients. Internal tandem duplications in Flt3 indicated by mismatches in the alignment could be detected in amplified DNA from single cells of two patients. The detected ITD resemble those initially detected in DNA from a bulk of BM cells. Discussion and Conclusion: Single cell sequencing provides a useful tool to amend the detection of genetic aberrations from a bulk of cells and to confirm the presence of specific mutations in single cells from small subpopulations. It therefore helps to get further insights into the clonal evolution in pAML. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 12 ◽  
Author(s):  
Thomas Stiehl ◽  
Anna Marciniak-Czochra

Acute myeloid leukemia is an aggressive cancer of the blood forming system. The malignant cell population is composed of multiple clones that evolve over time. Clonal data reflect the mechanisms governing treatment response and relapse. Single cell sequencing provides most direct insights into the clonal composition of the leukemic cells, however it is still not routinely available in clinical practice. In this work we develop a computational algorithm that allows identifying all clonal hierarchies that are compatible with bulk variant allele frequencies measured in a patient sample. The clonal hierarchies represent descendance relations between the different clones and reveal the order in which mutations have been acquired. The proposed computational approach is tested using single cell sequencing data that allow comparing the outcome of the algorithm with the true structure of the clonal hierarchy. We investigate which problems occur during reconstruction of clonal hierarchies from bulk sequencing data. Our results suggest that in many cases only a small number of possible hierarchies fits the bulk data. This implies that bulk sequencing data can be used to obtain insights in clonal evolution.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kiyomi Morita ◽  
Feng Wang ◽  
Katharina Jahn ◽  
Tianyuan Hu ◽  
Tomoyuki Tanaka ◽  
...  

2021 ◽  
Author(s):  
Gulay Ulukaya ◽  
Beena Thomas ◽  
Swati Bhasin ◽  
Hope Mumme ◽  
Bhakti Dwivedi ◽  
...  

Abstract Relapse- and continuous complete remission (CCR)-associated pediatric acute myeloid leukemia (AML) patient bone marrows collected at the time of diagnosis (Dx), end of induction (EOI) and relapse were analyzed by single cell RNA sequencing. A novel AML blasts-associated 7-genes signature (CLEC11A, PRAME, AZU1, NREP, ARMH1, C1QBP, TRH) displayed a strong correlation with blast percentages and overall survival in the TARGET AML dataset (HR=2.3; P-value=.007). Distinct clusters of AML-blasts at Dx were observed for relapse- and CCR-associated samples with differential expression of genes associated with survival. Relapse-associated samples demonstrated enrichment of exhausted T cells and M2 macrophages as opposed to inflammatory M1 macrophages in CCR-associated samples at Dx. EOI treatment resistant blast cells overexpressed fatty acid oxidation, tumor growth and stemness genes. Also, a relapse-associated EOI samples T cells subset showed downregulation of MHC Class I and regulatory genes. Altogether, this study deeply characterizes pediatric AML relapse-/CCR-associated tumor microenvironment transcriptome landscape.


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