scholarly journals Longitudinal Tracking of Acute Myeloid Leukemia Stem Cells in Xenografts and Patients By microRNA Reporters and Single Cell RNA Sequencing

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 916-916
Author(s):  
Matteo Maria Naldini ◽  
Gabriele Casirati ◽  
Matteo Barcella ◽  
Stefano Beretta ◽  
Ivan Merelli ◽  
...  

Current understanding of acute myeloid leukemia (AML) assumes a developmental hierarchy, in which a minor fraction of primitive and quiescent leukemia stem cells (LSC) sustain clonal propagation of disease. These therapy-resistant LSC may be the basis of relapse, as supported by data correlating the presence of LSC gene expression signatures at diagnosis with poor prognosis (Ng et al, Nature 2016). Novel approaches tracing LSC fates at single cell level before, during and after chemotherapy (CTX) are needed to confirm their biological relevance and derive new, LSC-focused diagnostic and therapeutic strategies. We and others have previously linked key LSC properties, such as quiescence and therapy resistance, to complex transcriptional regulation orchestrated by miR-126 (Lechman et al, Cancer Cell 2016). Furthermore, we provided proof of concept that LSCs could be prospectively isolated as miR-126(high) cells exploiting a lentiviral reporter vector capturing miR-126 bioactivity in live cells with single cell resolution. To extend these studies, we transduced primary blasts from n=3 AML patients (pts) carrying NPM1 and FLT3-ITD mutations with the miR-126 reporter, followed by xenografting (PDX). Blasts showed intra-tumor heterogeneity (ITH) in terms of miR-126 activity, with a minor fraction identified as miR-126(high). Limiting dilution secondary transplantation of FACS sorted miR-126(high) and -(low) blasts proved strong enrichment of repopulating activity within the miR-126(high) compartment in all 3 pts. On the contrary, no LSC enrichment could be verified in the CD34+CD38- fraction in 1 patient, suggesting that high miR-126 activity represents a more robust LSC identifier than commonly used surface markers. Next, we investigated the impact of daunorubicin and cytarabine CTX on miR-126-reporter+ blasts (n=3 AML) in PDX. Surprisingly, overall miR-126 activity diminished in post CTX residual AML compared to controls, compatible with a loss of blast quiescence. CTX accentuated ITH by uncovering a subset of blasts with very high levels of miR-126, distinct from the bulk population, which may correspond to residual quiescent LSC (Fig A). We then performed bulk RNA sequencing on miR-126(high) and miR-126(low) subsets from CTX and control PDX. While miR-126(low) blasts from both groups expressed markers of myeloid differentiation, miR-126(high) blasts were enriched for published hematopoietic stem cell hallmark signatures. Integrating differentially expressed genes between miR-126(high) and-(low) subsets at steady state and post CTX, we extrapolated a novel 8 gene signature associated with miR-126(high) blasts. Of note, patients from the AML TCGA PanCancer Atlas Cohort (n=161) harboring overexpression in one or more of these 8 genes had significantly decreased overall survival (10 vs 19 months, Logrank test p-value = 0.018). To further test whether our 8-gene miR-126(high) signature reveals ITH in patients, we performed single cell RNA sequencing (scRNAseq) of AML patient BM aspirates at diagnosis (n= 6). Blasts were identified based on the detection of mutated NPM1 transcripts in single cells. In 5 out of 7 patients expression of the miR-126 signature mapped to specific clusters of blasts identified by unsupervised shared nearest neighbor algorithm, confirming that it identifies ITH in patient samples. Interestingly, we detected miR-126 signature(high) blasts in pts with poor prognosis (n=4) and not in those with favorable outcome (n=2) (Fig B). To investigate ITH across longitudinal samples, we next performed scRNAseq of residual AML from a representative patient assessed early after CTX. In line with our PDX CTX model displaying increased miR-126 ITH, blasts on day14 of induction CTX segregated into 2 different clusters: cluster 1 containing LSC-like cells with miR-126(high) signature and similar transcriptional profile to the diagnosis counterpart; cluster 2, instead, was composed of actively cycling blasts. Residual blasts at day30, in addition to uniformly expressing the miR-126(high) signature, differed from diagnosis and day14 blasts by displaying cell cycle quiescence and induction of oxidative phosphorylation genes (Fig C). In summary, we have set up and applied PDX LSC modeling to clinically relevant patient samples to address AML intra-tumor heterogeneity and to pinpoint novel relevant transcriptomic features of LSC at diagnosis and after chemotherapy. Figure Disclosures Gentner: Genenta Science: Consultancy, Equity Ownership, Research Funding.

Author(s):  
Adeline Crinier ◽  
Pierre-Yves Dumas ◽  
Bertrand Escalière ◽  
Christelle Piperoglou ◽  
Laurine Gil ◽  
...  

SummaryNatural killer (NK) cells are innate cytotoxic lymphoid cells (ILCs) involved in the killing of infected and tumor cells. Among human and mouse NK cells from the spleen and blood, we previously identified by single-cell RNA sequencing (scRNAseq) two similar major subsets, NK1 and NK2. Using the same technology, we report here the identification, by single-cell RNA sequencing (scRNAseq), of three NK cell subpopulations in human bone marrow. Pseudotime analysis identified a subset of resident CD56bright NK cells, NK0 cells, as the precursor of both circulating CD56dim NK1-like NK cells and CD56bright NK2-like NK cells in human bone marrow and spleen under physiological conditions. Transcriptomic profiles of bone marrow NK cells from patients with acute myeloid leukemia (AML) exhibited stress-induced repression of NK cell effector functions, highlighting the profound impact of this disease on NK cell heterogeneity. Bone marrow NK cells from AML patients exhibited reduced levels of CD160, but the CD160high group had a significantly higher survival rate.


2018 ◽  
Author(s):  
Allegra A. Petti ◽  
Stephen R. Williams ◽  
Christopher A. Miller ◽  
Ian T. Fiddes ◽  
Sridhar N. Srivatsan ◽  
...  

AbstractVirtually all tumors are genetically heterogeneous, containing subclonal populations of cells that are defined by distinct mutations1. Subclones can have unique phenotypes that influence disease progression2, but these phenotypes are difficult to characterize: subclones usually cannot be physically purified, and bulk gene expression measurements obscure interclonal differences. Single-cell RNA-sequencing has revealed transcriptional heterogeneity within a variety of tumor types, but it is unclear how this expression heterogeneity relates to subclonal genetic events – for example, whether particular expression clusters correspond to mutationally defined subclones3,4,5,6-9. To address this question, we developed an approach that integrates enhanced whole genome sequencing (eWGS) with the 10x Genomics Chromium Single Cell 5’ Gene Expression workflow (scRNA-seq) to directly link expressed mutations with transcriptional profiles at single cell resolution. Using bone marrow samples from five cases of primary human Acute Myeloid Leukemia (AML), we generated WGS and scRNA-seq data for each case. Duplicate single cell libraries representing a median of 20,474 cells per case were generated from the bone marrow of each patient. Although the libraries were 5’ biased, we detected expressed mutations in cDNAs at distances up to 10 kbp from the 5’ ends of well-expressed genes, allowing us to identify hundreds to thousands of cells with AML-specific somatic mutations in every case. This data made it possible to distinguish AML cells (including normal-karyotype AML cells) from surrounding normal cells, to study tumor differentiation and intratumoral expression heterogeneity, to identify expression signatures associated with subclonal mutations, and to find cell surface markers that could be used to purify subclones for further study. The data also revealed transcriptional heterogeneity that occurred independently of subclonal mutations, suggesting that additional factors drive epigenetic heterogeneity. This integrative approach for connecting genotype to phenotype in AML cells is broadly applicable for analysis of any sample that is phenotypically and genetically heterogeneous.


2019 ◽  
Author(s):  
Emily F. Davis-Marcisak ◽  
Pranay Orugunta ◽  
Genevieve Stein-O'Brien ◽  
Sidharth V. Puram ◽  
Evanthia Roussos Torres ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Chunhong Cui ◽  
Yan Wang ◽  
Wenjie Gong ◽  
Haiju He ◽  
Hao Zhang ◽  
...  

Relapse of acute myeloid leukemia (AML) has a very poor prognosis and remains a common cause of treatment failure in patients with this disease. AML relapse is partially driven by the chemoresistant nature of leukemia stem cells (LSCs), which remains poorly understood, and our study aimed at elucidating the underlying mechanism. Accumulating evidences show that long noncoding RNAs (lncRNAs) play a crucial role in AML development. Herein, the lncRNA, LINC00152, was identified to be highly expressed in CD34+ LSCs and found to regulate the self-renewal of LSCs derived from AML patients. Importantly, LINC00152 upregulation was correlated with the expression of 16 genes within a 17-gene LSC biomarker panel, which contributed to the accurate prediction of initial therapy resistance in AML. Knockdown of LINC00152 markedly increased the drug sensitivity of leukemia cells. Furthermore, LINC00152 expression was found to be correlated with poly (ADP-ribose) polymerase 1 (PARP1) expression in AML, whereas LINC00152 knockdown significantly decreased the expression of PARP1. Upregulation of LINC00152 or PARP1 was associated with poor prognosis in AML patients. Collectively, these data highlight the importance and contribution of LINC00152 in the regulation of self-renewal and chemoresistance of LSCs in AML.


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