Single Cell RNA Sequencing Driven Characterization of Pediatric Mixed Phenotype Acute Leukemia (original) (raw)
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2021
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 ge...
Single-Cell Sequencing: Biological Insight and Potential Clinical Implications in Pediatric Leukemia
Cancers, 2021
Single-cell sequencing (SCS) provides high-resolution insight into the genomic, epigenomic, and transcriptomic landscape of oncohematological malignancies including pediatric leukemia, the most common type of childhood cancer. Besides broadening our biological understanding of cellular heterogeneity, sub-clonal architecture, and regulatory network of tumor cell populations, SCS can offer clinically relevant, detailed characterization of distinct compartments affected by leukemia and identify therapeutically exploitable vulnerabilities. In this review, we provide an overview of SCS studies focused on the high-resolution genomic and transcriptomic scrutiny of pediatric leukemia. Our aim is to investigate and summarize how different layers of single-cell omics approaches can expectedly support clinical decision making in the future. Although the clinical management of pediatric leukemia underwent a spectacular improvement during the past decades, resistant disease is a major cause of t...
The bone marrow microenvironment of pre-B acute lymphoblastic leukemia at single-cell resolution
Scientific Reports
The bone marrow microenvironment (BMM) plays a key role in leukemia progression, but its molecular complexity in pre-B cell acute lymphoblastic leukemia (B-ALL), the most common cancer in children, remains poorly understood. To gain further insight, we used single-cell RNA sequencing to characterize the kinetics of the murine BMM during B-ALL progression. Normal pro- and pre-B cells were found to be the most affected at the earliest stages of disease and this was associated with changes in expression of genes regulated by the AP1-transcription factor complex and regulatory factors NELFE, MYC and BCL11A. Granulocyte–macrophage progenitors show reduced expression of the tumor suppressor long non-coding RNA Neat1 and disruptions in the rate of transcription. Intercellular communication networks revealed monocyte-dendritic precursors to be consistently active during B-ALL progression, with enriched processes including cytokine-mediated signaling pathway, neutrophil-mediated immunity and...
Molecular Cancer, 2022
Background: Acute myeloid leukemia (AML) is a heterogeneous and aggressive blood cancer that results from diverse genetic aberrations in the hematopoietic stem or progenitor cells (HSPCs) leading to the expansion of blasts in the hematopoietic system. The heterogeneity and evolution of cancer blasts can render therapeutic interventions ineffective in a yet poorly understood patient-specific manner. In this study, we investigated the clonal heterogeneity of diagnosis (Dx) and relapse (Re) pairs at genetic and transcriptional levels, and unveiled the underlying pathways and genes contributing to recurrence. Methods: Whole-exome sequencing was used to detect somatic mutations and large copy number variations (CNVs). Single cell RNA-seq was performed to investigate the clonal heterogeneity between Dx-Re pairs and amongst patients. Results: scRNA-seq analysis revealed extensive expression differences between patients and Dx-Re pairs, even for those with the same-presumed-initiating events. Transcriptional differences between and within patients are associated with clonal composition and evolution, with the most striking differences in patients that gained large-scale copy number variations at relapse. These differences appear to have significant molecular implications, exemplified by a DNMT3A/FLT3-ITD patient where the leukemia switched from an AP-1 regulated clone at Dx to a mTOR signaling driven clone at Re. The two distinct AML1-ETO pairs share genes related to hematopoietic stem cell maintenance and cell migration suggesting that the Re leukemic stem cell-like (LSC-like) cells evolved from the Dx cells. Conclusions: In summary, the single cell RNA data underpinned the tumor heterogeneity not only amongst patient blasts with similar initiating mutations but also between each Dx-Re pair. Our results suggest alternatively and currently unappreciated and unexplored mechanisms leading to therapeutic resistance and AML recurrence.
The contribution of multiplexing single cell RNA sequencing in acute myeloid leukemia
After decades during which the treatment of acute myeloid leukemia consisted in cytarabine + anthracycline, targeted therapies have appeared, first based on monoclonal antibodies (anti-CD52, anti-CD123) and then on specific inhibitors of molecular mutations (anti-IDH, IDH2 or FLT3). What should be the place of these therapeutic options considering the tumor heterogeneity inherent to leukemia diagnosis and the clonal drift of which this type of tumor is capable? Targeted drugs would require an analysis of the various therapeutic targets not in the total population but at the individual cell level. Indeed, the prognostic value and therapeutic interest of a given molecular target are certainly not the same if it is a cell in terminal differentiation with low proliferative potential or, on the contrary, a stem cell with strong capacities of both proliferation and self-renewal. However, this cell-by-cell analysis is fraught with several pitfalls. The first one is scientific because the c...
Single-cell genomic profiling of acute myeloid leukemia for clinical use: A pilot study
Oncology Letters, 2017
Although bulk high-throughput genomic profiling studies have led to a significant increase in the understanding of cancer biology, there is increasing awareness that bulk profiling approaches do not completely elucidate tumor heterogeneity. Single-cell genomic profiling enables the distinction of tumor heterogeneity, and may improve clinical diagnosis through the identification and characterization of putative subclonal populations. In the present study, the challenges associated with a single-cell genomics profiling workflow for clinical diagnostics were investigated. Single-cell RNA-sequencing (RNA-seq) was performed on 20 cells from an acute myeloid leukemia bone marrow sample. Putative blasts were identified based on their gene expression profiles and principal component analysis was performed to identify outlier cells. Variant calling was performed on the single-cell RNA-seq data. The present pilot study demonstrates a proof of concept for clinical single-cell genomic profiling. The recognized limitations include significant stochastic RNA loss and the relatively low throughput of the current proposed platform. Although the results of the present study are promising, further technological advances and protocol optimization are necessary for single-cell genomic profiling to be clinically viable.
Blood Advances, 2020
Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, and implementation of risk-adapted therapy has been instrumental in the dramatic improvements in clinical outcomes. A key to risk-adapted therapies includes the identification of genomic features of individual tumors, including chromosome number (for hyper- and hypodiploidy) and gene fusions, notably ETV6-RUNX1, TCF3-PBX1, and BCR-ABL1 in B-cell ALL (B-ALL). RNA-sequencing (RNA-seq) of large ALL cohorts has expanded the number of recurrent gene fusions recognized as drivers in ALL, and identification of these new entities will contribute to refining ALL risk stratification. We used RNA-seq on 126 ALL patients from our clinical service to test the utility of including RNA-seq in standard-of-care diagnostic pipelines to detect gene rearrangements and IKZF1 deletions. RNA-seq identified 86% of rearrangements detected by standard-of-care diagnostics. KMT2A (MLL) rearrangements, although usually identified, were ...
Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia
Nature Communications
Acute myeloid leukemia may be characterized by a fraction of leukemia stem cells (LSCs) that sustain disease propagation eventually leading to relapse. Yet, the contribution of LSCs to early therapy resistance and AML regeneration remains controversial. We prospectively identify LSCs in AML patients and xenografts by single-cell RNA sequencing coupled with functional validation by a microRNA-126 reporter enriching for LSCs. Through nucleophosmin 1 (NPM1) mutation calling or chromosomal monosomy detection in single-cell transcriptomes, we discriminate LSCs from regenerating hematopoiesis, and assess their longitudinal response to chemotherapy. Chemotherapy induced a generalized inflammatory and senescence-associated response. Moreover, we observe heterogeneity within progenitor AML cells, some of which proliferate and differentiate with expression of oxidative-phosphorylation (OxPhos) signatures, while others are OxPhos (low) miR-126 (high) and display enforced stemness and quiescenc...
A Transcriptomic Continuum of Differentiation Arrest in Acute Leukemia
Blood, 2019
Introduction: Traditional classification of acute lymphoblastic and myeloid leukemias (ALLs and AMLs) remains heavily based on phenotypic resemblance to normal hematopoietic precursors of the respective lineages. This framework can provide diagnostic challenges for immunophenotypically heterogeneous immature leukemias, which often have poor responses to treatment. This system also takes little account of modern concepts of hematopoietic identity that are mainly based on transcriptional signature identification and functional assays. Recent advances in genome-wide analytical methods developed to reconstruct landscapes of normal differentiation now provide an opportunity to re-evaluate traditional binary approaches to myeloid and lymphoid lineage assignment in leukemia. Methods: We used novel computational tools, including the recently described Iterative Clustering and Guide Gene Selection (ICGS) method to perform transcriptional analyses of a series of 125 T-ALLs and AMLs, which com...
Blood Advances, 2022
The molecular hallmark of childhood acute lymphoblastic leukemia (ALL) is characterized by recurrent, prognostic genetic alterations, many of which are cryptic by conventional cytogenetics. RNA sequencing (RNA-seq) is a powerful next-generation sequencing technology that can simultaneously identify cryptic gene rearrangements, sequence mutations and gene expression profiles in a single assay. We examined the feasibility and utility of incorporating RNA-seq into a prospective multicenter phase 3 clinical trial for children with newly diagnosed ALL. The Dana-Farber Cancer Institute ALL Consortium Protocol 16-001 enrolled 173 patients with ALL who consented to optional studies and had samples available for RNA-seq. RNA-seq identified at least 1 alteration in 157 patients (91%). Fusion detection was 100% concordant with results obtained from conventional cytogenetic analyses. An additional 56 gene fusions were identified by RNA-seq, many of which confer prognostic or therapeutic signifi...