Diagnostic Bone Marrow Samples Research Articles

Identification of Therapy-Induced Clonal Evolution and Resistance Pathways in Minimal Residual Clones in Multiple Myeloma through Single-Cell Sequencing.

In multiple myeloma (MM), therapy-induced clonal evolution is associated with treatment resistance and is one of the most important hindrances toward a cure for MM. To further understand the molecular mechanisms controlling the clonal evolution of MM, we applied single-cell RNA sequencing (scRNA-seq) to paired diagnostic and posttreatment bone marrow (BM) samples. scRNA-seq was performed on 38 BM samples from patients with monoclonal gammopathy of undetermined significance (n = 1), MM patients at diagnosis (n = 19), MM posttreatment (n = 17), and one healthy donor (HD). The single-cell transcriptome data of malignant plasma cells (PC) and the surrounding immune microenvironment were analyzed. Profiling by scRNA-seq data revealed three primary trajectories of transcriptional evolution after treatment: clonal elimination in patients with undetectable minimal residual disease (MRD-) and clonal stabilization and clonal selection in detectable MRD (MRD+) patients. We noted a metabolic shift toward fatty acid oxidation in cycling-resistant PCs, whereas selective PCs favored the NF-κB pathway. Intriguingly, when comparing the genetic and transcriptional dynamics, we found a significant correlation between genetic and nongenetic factors in driving the clonal evolution. Furthermore, we identified variations in cellular interactions between malignant PCs and the tumor microenvironment. Selective PCs showed the most robust cellular interactions with the tumor microenvironment. These data suggest that MM cells could rapidly adapt to induction treatment through transcriptional adaptation, metabolic adaptation, and specialized immune evasion. Targeting therapy-induced resistance mechanisms may help to avert refractory disease in MM.

Determining hemodilution in diagnostic bone marrow aspirated samples in plasma cell disorders by next-generation flow cytometry: Proposal for a bone marrow quality index

Hemodilution of bone marrow (BM) aspirates is a limitation of multiparameter flow cytometry (MFC) in plasma cell disorders. There is a need for a validated approach for assessing sample quality and the distribution of non-plasma cell BM populations by MFC could provide a solution. We evaluated BM-associated cell populations, assessed by next-generation flow cytometry (NGF) and white blood cell (WBC) count in 351 BM aspirated samples from 219 participants with plasma cell disorders in the Iceland Screens, Treats, or Prevents MM study (iStopMM), as markers of hemodilution by their discriminatory ability between first and (generally more hemodiluted) second pull BM aspirated samples. The most discriminating markers were used to derive a novel BM quality index (BMQI). Nucleated red blood cells and myeloid precursors provided the greatest discriminatory ability between first vs second pull samples (area under the curve (AUC): 0.87 and 0.85, respectively), significantly better than B cell precursors (AUC = 0.64; p < 0.001), mast cells (AUC = 0.65; p < 0.001), and the BM WBC count (AUC = 0.77; p < 0.05). We generated a novel BMQI that is intrinsic to current NGF protocols, for evaluating quality of diagnostic BM samples and suggest the use of a BMQI scoring system for interpreting results and guiding appropriate actions.

Array CGH + SNP in ALL Enhances Detection of Complex Cytogenetic Profiles and Suggests That PRSS1 Loss May Play a Role in Leukemogenesis

Introduction Cytogenetic alterations are essential prognostic biomarkers in patients (pts) with acute lymphoblastic leukemia/lymphoma (ALL), but are limited by the propensity of leukemic blasts to undergo apoptosis in culture, poor-quality chromosomes, and overgrowth by normal cells. Array CGH + SNP has 10,000-fold higher resolution than conventional cytogenetics and can identify submicroscopic gains, losses and copy number neutral loss of heterozygosity (cnLOH) irrespective of mitotic rate. Few studies outside of clinical trials have investigated microarray findings in adults with ALL or correlated microarray findings with clinical outcomes. Methods We retrospectively reviewed pts with ALL and mixed phenotype acute leukemia (MPAL) aged ≥18 years at diagnosis at our institution between 2017 and 2022. Array analysis was performed on diagnostic bone marrow or peripheral blood samples using high resolution CGH + SNP Genetisure cancer array platform (Agilent). Statistical analysis was done using R software (R core team, 2022). Results Baseline characteristics of included pts (n = 60) are shown in Table 1. CGH + SNP analysis identified 93.3% (56/60) of pts with genomic changes with a mean of 7 (range 0 - 28) aberrations per pt. Among pts with a normal karyotype, 81.8% (9/11) had new genomic abnormalities revealed by CGH + SNP, but significantly fewer aberrations were detected per pt compared to those with abnormal karyotypes (mean 3.09 v. 7.67, p = .008). Pts with Ph-like B-ALL/MPAL had significantly more aberrations on array than pts without Ph-like phenotype (mean 12.0 v. 5.85, p.= .002). Among the 78.3% of pts without complex cytogenetics on chromosome analysis, 44.7% (21/47) were found to have a complex genomic profile (≥5 aberrations) with the addition of CGH + SNP. However, there was no difference in CR rates or OS in pts with &amp;lt;5 or ≥5 microarray aberrations (p = .515 and p = .970, respectively). Quantity of copy number alterations (CNAs) as detected on array was not predictive of achieving end of induction CR/CRi/CRh (mean 6.08 in pts who achieved CR/CRi/CRh v. 7.02 in pts with primary refractory disease, p = .310). Hispanic pts had the same number of CNAs as non-Hispanic pts (mean 6.69 v. 6.94, p = .435). On linear regression analysis, there was no correlation between number of CNAs and age (r 2 = -.01, F = 0.1941, p = .661) or BMI (r 2 = 5.21 x10 -5, F = 0.0029, p = .957). The most frequent focal aberrations were detected in CDKN2A/B (n = 19), IKZF1 (n = 17), PRSS1 (n = 11), PAX5 (n = 8), BTG1 (n = 8) and RB1 (n = 8) (Figure 1). RB1 loss was enriched in pts with T-ALL (45.5% v. 6%, p = .003),and occurred at significantly higher rates than previously reported in T-ALL (Schraders, 2009). Loss of PRSS1 was detected in 18.3% (11/60) of the cohort. Homozygous PRSS1 deletions were identified in 3/11 (27.3%) pts. We identified the minimal overlapping deleted region on 7q34 in all 11 pts, which included the PRSS1 gene within the 124 kb region. Five of 6 pts who had repeat arrays performed at the end of induction had resolution of this aberration. The one pt who retained PRSS1 loss after induction had primary refractory disease, but after further treatment and attainment of CR1, this pt cleared the PRSS1 loss. Asparaginase associated pancreatitis, which has been linked to PRSS1 variations, occurred in only 1 pt with PRSS1 loss. Pts harboring PRSS1 loss were significantly less likely to achieve MRD negativity after induction (50% vs. 82%, P = .041) and had numerically more relapses (37.5% vs. 19%, p = .300), but no OS difference was observed (p = .290). Conclusions In our institutional cohort, the addition of CGH + SNP array reclassified almost half (44.7%) of pts without complex cytogenetics to harbor complex genomic changes (≥5 aberrations). Pts with Ph-like ALL had significantly more aberrations on array than those with Ph-positive or -negative B-ALL. Focal PRSS1 loss was associated with reduced rates of MRD clearance at the end of induction. This aberration resolved upon disease remission, raising the possibility that both homozygous and/or heterozygous deletions of 124 kb from the 7q34 chromosomal region of the PRSS1 gene may potentially have a role in ALL pathogenesis. Further studies with larger cohorts utilizing CGH + SNP analyses at additional time points during treatment are needed to explore the potential integration of microarray data for refined ALL risk stratification as well as to elucidate the functional role of PRSS1 in leukemogenesis.

Allele-Specific Expression of Leukemia Genes Is Associated with Pathogenicity in Poor Risk AML

Introduction: An imbalance in gene expression of the different alleles of a gene (allele-specific expression or ASE) is an intriguing genome-wide and dynamic phenomenon that could have an important role in tumorigenesis. Little is known about the causes and consequences of the differential cis- and trans-regulation on resultant ASE, aside from the impact of copy number alterations (CNAs) or imprinting. Acute myeloid leukemia (AML) is an aggressive clonal hematopoietic stem cell malignancy, with a low mutational burden in comparison with other cancers, where the impact of ASE may constitute a novel mechanism of pathogenesis. Aim: Application of Whole Genome Sequencing (WGS), RNA-seq and Oxford Nanopore methylation sequencing to study the ASE landscape in a cohort of poor risk AML patients and shed light on the mechanisms triggering this phenomenon as well as its temporal dynamics. Methods: ASE landscape was explored using paired germline and tumour WGS and RNA-seq on diagnostic bone marrow or peripheral blood samples from 33 cytogenetically poor risk AML patients, and additional RNA-seq from 18 samples corresponding to follow-up timepoints (including remission, relapse and refractory samples) from eight of the patients.Heterozygous SNPs were identified in the genomic DNA, and allele frequencies in RNA-seq reads were used to quantify ASE, after filtering for CNAs in the tumor DNA. Cas9-enriched Oxford Nanopore sequencing was then performed on available patient samples at diagnosis and subsequent time points. Allele-specific methylation was determined on the Nanopore sequencing using Guppy v6.3. Results: In the diagnostic cohort, we identified 4,802 protein-coding genes exhibiting ASE in at least one sample, with a median of 169 genes per sample (range 119-468, with one outlier sample showing ASE in 1,705 genes). Overall, 283 protein-coding genes showed ASE in ≥ 20% patients across the 33 samples. These genes included known imprinted genes and the transcription factor GATA2, where ASE was previously associated with AML, validating our ASE pipeline and filtering criteria. We also identified for the first time recurrent ASE in other myeloid genes such as KMT2A (20%), the homeobox genes PBX2 (41%), PBX3 (20%), HOXA6 (20%) and HOXB cluster ( HOXB2 (31%), HOXB3 (27%), HOXB5 (40%), HOXB6 (30%)); and the myeloid differentiation genes CDKN2A (40%), PDGFRB (25%) and PRTN3 (57%). Eighteen primary AML samples from 8/33 patients had paired diagnostic, remission and relapse or refractory material, allowing us to track the dynamic ASE pattern. RNA-seq and Sanger sequencing of cDNA in these samples showed that the ASE observed at diagnosis in HOXB2, HOXB3, HOXB6, PBX3 and GATA2 was lost in the corresponding remission sample (bi-allelic expression), with ASE returning at relapse and maintained in the refractory samples. In order to explore the epigenetic mechanisms underlying these allele-specific changes in expression, Cas9-enriched Oxford Nanopore sequencing was performed in 2 patients with available DNA at diagnosis and sequential time points, to determine the pattern of allele-specific methylation of the promoter region of GATA2 (patient 1) and HOXB2 (patient 2). In patient 1 at diagnosis, 90% of CpG sites were methylated at the GATA2 promoter region on one allele versus 61% in the other allele, with the hypomethylated allele corresponding to the allele that is overexpressed in the ASE sample. However, in the remission sample, the proportion of methylated CpG sites on the two alleles was similar (83% and 73%, respectively), in agreement with the expression of both GATA2 alleles at this stage. Likewise, in the diagnostic sample of patient 2, 6% of CpG sites were methylated in the HOXB2 promoter region of one allele, corresponding to the overexpressed allele in the ASE sample, while the other promoter allele had 17% of CpG sites methylated; with no differences in CpG methylation between alleles in the remission samples (9% versus 9%), again correlating with the bi-allelic expression of HOXB2 at remission. Conclusions: Combining WGS and RNA-seq in AML primary samples, we have identified key leukemia genes showing recurrent dynamic ASE associated with disease evolution: since it is found at diagnosis, lost in remission, but recovered in relapse and persisting in refractory stages. Our results also suggest allele-specific methylation as the potential mechanism orchestrating this phenomenon.

Presence of leukemic clone-specific immunoglobulin heavy chain rearrangements in neonatal blood spots of children with B-cell precursor acute lymphoblastic leukemia.

Childhood B-cell precursor acute lymphoblastic leukemia (BCP-ALL) can be traced back to birth using leukemic clone-specific immunoglobulin heavy chain (IGH) rearrangements, implying prenatal origin of this disease. We retrospectively analyzed neonatal blood spots (Guthrie cards) of 24 patients with childhood BCP-ALL aged 1-9.6 years (median 3.1 years) for the presence of clonotypic IGH rearrangements identified in diagnostic bone marrow samples. Based on the sequences of IGH rearrangements, 2 patient-specific primers were designed for each patient and used in semi-nested polymerase chain reaction for the detection of preleukemic clones at birth. Clonotypic IGH rearrangements were detected in neonatal blood spots of 54.2% of patients (13/24). In two cases with double IGH rearrangements detected at diagnosis, only one rearrangement was present at birth, while in the third case both leukemic rearrangements were detected in neonatal blood. Guthrie card-positive findings were significantly more frequent in children ≤5 years of age than in older children (p = 0.011). Regarding patients' characteristics at birth and at diagnosis, Guthrie card-positivity was not associated with sex, birth weight and mother's age, as well as with white blood cell count, percentage of bone marrow blasts, immunophenotype and the presence of ETV6/RUNX1 and TCF3/PBX1 fusion genes at diagnosis. Our study confirms that a large proportion of childhood BCP-ALL originates in utero, regardless of the molecular subtype defined by chromosomal aberrations. The observed trend toward younger age at diagnosis in Guthrie card-positive versus Guthrie card-negative patients implies that the age at diagnosis depends on the presence of preleukemic clone at birth, as well as on the timing of postnatal transforming genetic events.

Targeted NGS Panel Guides Risk-Adapted Treatment Intention in Newly Diagnosed Myeloma Patients

Introduction While overall survival has improved, patients with high-risk multiple myeloma (MM) have poor outcomes. Fluorescent in situ hybridisation (FISH) is widely used to identify high-risk genomic features at diagnosis, but a significant minority of patients classified with standard-risk disease progress rapidly and in retrospect may have warranted more intense frontline therapy. Recently, we implemented the Myeloma Genome Project Panel (MGPP) into clinical workflows - a myeloma-specific targeted sequencing panel capturing 228 genes, 6 translocation regions and 56 copy number abnormalities (CNAs) in a single assay [PMID: 35522533]. Given that MGPP captures many prognostic regions beyond the limited number assessed by FISH, there is potential to better identify high-risk patients. However, the utility of MGPP in supporting clinical risk designation and therapy choice when compared with FISH in newly diagnosed MM is unknown. Methods A prospective cohort study was conducted to compare the impact of MGPP vs. FISH on baseline risk stratification and treatment intention, in 55 unselected newly diagnosed MM patients. For MGPP, libraries were generated from 100ng DNA from bone marrow (BM) derived CD138 + MM cells and matched germline peripheral blood (Roche KAPA HyperCap Target Enrichment/Hyperplus kit). Reads were aligned to hg38, and somatic mutations, CNAs and translocations called with a custom pipeline. ISO-accredited FISH analysis was performed in NHS laboratories. In a multicentre multidisciplinary team (MDT) meeting, four blinded haematologists independently reviewed each clinical case presented twice with either FISH or MGPP, in a random order. Clinicians designated risk status and treatment intentions using a structured proforma. Therapeutically actionable variants could be selected as per the MyDRUG trial [ClinicalTrials.gov: NCT03732703]. A consensus MDT outcome for high-risk or more intensive therapy required at least 3 out of 4 concordant decisions. Results Data is presented here for 23 of 55 patients. The mean age was 68.9 years, 57% were transplant eligible, with R-ISS-1 (35%), R-ISS-2 (26%) and R-ISS-3 (39%). Firstly, MGPP had greater technical success than FISH, reporting successfully in 100% vs. 83% cases from the same diagnostic BM samples respectively (n=4 assay failures with FISH). Secondly, MGPP reported more genomic features than FISH, detecting 231 vs. 18 somatic variants at 127 vs. 7 regions, respectively. Thirdly, MGPP captured equivalent loci at greater resolution, detecting subclonal CNAs missed by FISH (Figure 1). In a head-to-head comparison with FISH, these additional genomic insights from MGPP influenced clinical treatment decisions. A clinician-led MDT reclassified 9 (39%) patients designated as standard-risk by FISH to high-risk status when presented with MGPP (Table 1). Reclassified patients were enriched for prognostically significant MYC translocations (17%) and subclonal 17p loss (22%), 1p loss (17%) and 1q gain (13%) CNAs that were missed by FISH. Altered risk designation influenced frontline treatment intention; clinicians opted for intensification of induction therapy in 13% (FISH) vs. 48% (MGPP) high-risk patients, and considered tandem autologous transplant as an option in 0% (FISH) vs. 23% (MGPP) transplant-eligible patients. FISH identified a therapeutically actionable variant in 3 (13%) patients [venetoclax, n=3]. MGPP identified 13 (57%) additional patients with opportunity for targeted therapy [MEK inhibitor, n=11; BRAF V600E inhibitor, n=2], which the MDT considered as a treatment option in all cases if available in trial. The full dataset and analysis will be presented at time of the conference. Conclusions We demonstrate that MGPP impacts clinical risk designation and treatment intention in newly diagnosed MM. MGPP had greater technical assay success than FISH and captured a greater range and depth of somatic variants. Importantly, these additional insights led a clinical MDT to reclassify 39% patients as high-risk, consider intensification regimen in 39% cases and potential for actionable targeted therapy in 57% patients. Our results support MGPP as a robust alternative to FISH in supporting risk-adapted treatment decisions. We will implement MGPP in additional large prospective cohorts over the next year, to better understand its prognostic utility and feasibility in routine clinical workflows.

Cell-free DNA for detection of clonal B cells in diffuse large B cell lymphoma by sequencing.

Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma in the western world. It is highly heterogeneous with a variable clinical course, but curable with chemo-immunotherapy in up to 70% of all cases. The lymphoma presents in lymph nodes and/or extranodal lymphoid tissue, and the diagnosis is based on invasive procedures for histopathologic evaluation. In this technical study, we evaluated cell-free DNA (cfDNA) from blood plasma to detect clonal B cells in patients with DLBCL using rearranged immunoglobulin heavy chain gene as targets by next-generation sequencing. Clonal B cell sequences and frequencies were determined from blood plasma cfDNA and cellular DNA from matched excised lymphoma tissues and mononuclear cells isolated from diagnostic bone marrow and blood samples from 15 patients. We showed that identical clonal rearrangements could be detected in blood plasma and excised lymphoma tissue and that plasma cfDNA was superior in detecting clonal rearrangements compared to blood or bone marrow-derived cellular DNA. These findings consolidate the role of blood plasma as a reliable and easily accessible source for detecting neoplastic cells in DLBCL.

Tracing back of relapse clones by Ig/TCR gene rearrangements reveals complex patterns of recurrence in pediatric acute lymphoblastic leukemia.

Relapse remained the major obstacle to improving the prognosis of children with acute lymphoblastic leukemia (ALL). This study aimed to investigate the changing patterns of Ig/TCR gene rearrangements between diagnosis and relapse and the clinical relevance and to explore the mechanism of leukemic relapse. Clonal Ig/TCR gene rearrangements were screened by multiplex PCR amplification in 85 paired diagnostic and relapse bone marrow (BM) samples from children with ALL. The new rearrangements presented at relapse were quantitatively assessed by the RQ-PCR approach targeting the patient-specific junctional region sequence in 19 diagnostic samples. The relapse clones were further back-traced to diagnostic and follow-up BM samples from 12 patients. Comparison of Ig/TCR gene rearrangements between diagnosis and relapse showed that 40 (57.1%) B-ALL and 5 (33.3%) T-ALL patients exhibited a change from diagnosis to relapse, and 25 (35.7%) B-ALL patients acquired new rearrangements at relapse. The new relapse rearrangements were present in 15 of the 19 (78.9%) diagnostic samples as shown by RQ-PCR, with a median level of 5.26 × 10-2 . The levels of minor rearrangements correlated with B immunophenotype, WBC counts, age at diagnosis, and recurrence time. Furthermore, back-tracing rearrangements in 12 patients identified three patterns of relapse clone dynamics, which suggested the recurrence mechanisms not only through clonal selection of pre-existing subclones but also through an ongoing clonal evolution during remission and relapse. Backtracking Ig/TCR gene rearrangements in relapse clones of pediatric ALL revealed complex patterns of clonal selection and evolution for leukemic relapse.

Insights into IGH clonal evolution in BCP-ALL: frequency, mechanisms, associations, and diagnostic implications.

The malignant transformation leading to a maturation arrest in B-cell precursor acute lymphoblastic leukemia (BCP-ALL) occurs early in B-cell development, in a pro-B or pre-B cell, when somatic recombination of variable (V), diversity (D), and joining (J) segment immunoglobulin (IG) genes and the B-cell rescue mechanism of VH replacement might be ongoing or fully active, driving clonal evolution. In this study of newly diagnosed BCP-ALL, we sought to understand the mechanistic details of oligoclonal composition of the leukemia at diagnosis, clonal evolution during follow-up, and clonal distribution in different hematopoietic compartments. Utilizing high-throughput sequencing assays and bespoke bioinformatics we identified BCP-ALL-derived clonally-related IGH sequences by their shared 'DNJ-stem'. We introduce the concept of 'marker DNJ-stem' to cover the entirety of, even lowly abundant, clonally-related family members. In a cohort of 280 adult patients with BCP-ALL, IGH clonal evolution at diagnosis was identified in one-third of patients. The phenomenon was linked to contemporaneous recombinant and editing activity driven by aberrant ongoing DH/VH-DJH recombination and VH replacement, and we share insights and examples for both. Furthermore, in a subset of 167 patients with molecular subtype allocation, high prevalence and high degree of clonal evolution driven by ongoing DH/VH-DJH recombination were associated with the presence of KMT2A gene rearrangements, while VH replacements occurred more frequently in Ph-like and DUX4 BCP-ALL. Analysis of 46 matched diagnostic bone marrow and peripheral blood samples showed a comparable clonal and clonotypic distribution in both hematopoietic compartments, but the clonotypic composition markedly changed in longitudinal follow-up analysis in select cases. Thus, finally, we present cases where the specific dynamics of clonal evolution have implications for both the initial marker identification and the MRD monitoring in follow-up samples. Consequently, we suggest to follow the marker DNJ-stem (capturing all family members) rather than specific clonotypes as the MRD target, as well as to follow both VDJH and DJH family members since their respective kinetics are not always parallel. Our study further highlights the intricacy, importance, and present and future challenges of IGH clonal evolution in BCP-ALL.

Determining Hemodilution in Diagnostic Bone Marrow Samples in Multiple Myeloma and Its Precursors By Next-Generation Flow Cytometry: Data from the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) Study

Determining Hemodilution in Diagnostic Bone Marrow Samples in Multiple Myeloma and Its Precursors By Next-Generation Flow Cytometry: Data from the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) Study

Targeting IDH1-Mutated Pre-Leukemic Hematopoietic Stem Cells in Myeloid Disease, Including CCUS and AML

Introduction: Mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2 have been reported in clonal hematopoiesis and are recurrent, early events in the development of acute myeloid leukemia (AML). A subsequent stepwise acquisition of additional genetic aberrations leads to the development of frank leukemia. At the time of AML diagnosis, rare pre-leukemic hematopoietic stem cells (pHSC) can be detected containing some, but not all, of the mutations in the corresponding leukemia, although these pHSCs are phenotypically indistinguishable from residual wildtype hematopoietic stem cells (HSC). The frequency of pHSCs at the time of diagnosis is known to correlate to overall survival in AML patients (Corces et al, Nat Genet 2016), indicating the potential relevance of therapeutically targeting these cells to prevent relapse. Methods: To model these rare pre-leukemic cells, we introduced IDH1 R132H and IDH2 R140Q mutants or their wildtype counterparts into human CD34+ hematopoietic stem and progenitor cells (HSPC) using CRISPR/Cas9 and AAV6-mediated homology directed repair (HDR). Successfully edited cells were then sorted by FACS based on GFP expression for subsequent analyses including 2HG quantification, colony formation, differentiation capacity, RNA sequencing, and metabolic assays. Additionally, primary pHSCs from diagnostic bone marrow aspirates from AML patients were also isolated by FACS and subjected to treatment, colony formation assays, and genotyping by ddPCR. Results: Human CD34+ HSPCs engineered to express either IDH1 R132H or IDH2 R140Q produced 2HG and showed a striking reduction in colony formation and differentiation capacity, recapitulating the cytopenic phenotype observed in IDH-mutated clonal cytopenia of undetermined significance (CCUS). RNA-seq of these cells revealed large transcriptomic changes shared between IDH1 R132H and IDH2 R140Q mutations, but gene set enrichment analyses revealed the specific and significant downregulation of oxidative phosphorylation-related genes in R132H-mutated cells. These R132H cells were further confirmed to have lower basal metabolic activity coupled to a higher mitochondrial dependency as determined by SCENITH (Argüello et al, Cell Metab 2021). These metabolic alterations suggested that it might be possible to selectively therapeutically target R132H mutated cells. To evaluate this, we treated HSPCs engineered to express GFP, IDH1 wildtype, or IDH1 R132H, with the known mutant-specific inhibitor ivosidenib, the OXPHOS-inhibitor IACS-010759, or DMSO as a control. Strikingly, ivosidenib restored the defect in colony formation conferred by R132H and increased the total number of colonies whereas IACS-010759 effectively inhibited R132H colony formation (Figure 1A). To further investigate this vulnerability, we sorted pHSCs from diagnostic bone marrow samples from primary IDH1 and IDH2-mutated AML samples according to the phenotype CD45dimCD3-CD19-CD20-CD34+CD38-CD99-TIM3-. These cells were subjected to treatment with DMSO, ivosidenib, enasidenib, or IACS-010759 and subsequently plated for colony formation. Because the sorted cell population contained a mixture of mutant pHSCs and residual wildtype HSCs, all colonies were picked and genotyped for IDH mutations using ddPCR, revealing that only IDH1 wildtype colonies grew out after IACS-010759 treatment whereas all other conditions resulted in a mixture of wildtype and mutant colonies (Figure 1B). Conclusions: The OXPHOS-inhibitor IACS-010759 can eradicate IDH1-mutated pHSCs whereas ivosidenib cannot. This effect is specific for IDH1 mutations and the same effect is not seen in IDH2-mutated pHSCs. These results have potential clinical implications when considering therapeutic options in AML as well as IDH1-mutated pre-leukemic conditions such as CCUS. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Single Cell Multi-Omic Profiling of Multiple Myeloma with t(4;14) Identifies a T-Cell Population That Correlates with Clinical Outcomes

Background Multiple Myeloma (MM) is the second most common haematologic malignancy and patients with high risk MM have adverse outcomes. Translocation (4;14) occurs in 15% of MM and is associated with inferior survival. However, outcomes are heterogeneous even within this subset of patients. We set out to identify factors that correlated with progression free survival (PFS) in a cohort of t(4;14) patients by using high dimensional profiling of the malignant plasma cells (PCs) and tumor micro-environment through single cell multi-omics. Methods We analysed diagnostic bone marrow (BM) samples from 13 patients with t(4;14) MM using the ESCAPE™ platform from Singleron Biotechnologies which simultaneously measures gene and cell surface protein expression of 62 proteins in single cells. Cryopreserved BM samples were stained with antibodies and subsequently sorted on CD138 expression. The CD138 positive and negative fractions were recombined at a 1:1 ratio for analysis using the 10x Genomics 3' RNAseq kit. Resulting data were analyzed with Singleron Biotechnology's MapSuite™ single cell analytics platform. Subsequent validation of the t(4;14) findings were performed using the 5' chemistry version of ESCAPE™ with the 10x Genomics RNAseq platform. Results All patients received either bortezomib or thalidomide-based induction and had a median age of 63 years. Median PFS and overall survival (OS) were 22 and 34 months respectively. Consistent with published bulk gene expression data, MMSET was overexpressed in all PCs, while FGFR3 expression was heterogeneous. No gene or protein expression patterns within the PCs were identified that correlated with PFS or OS. In the tumor microenvironmental compartment, we identified a CD3+ population (cluster 26) that had not been previously annotated in published single cell RNA-seq data. These cells were CD45+ and CD138- at both the protein and RNA level, suggesting they are not PCs. Independent bioinformatics tools "MapCell" and "DISCO" both identified cluster 26 cells as T cells. The proportion of cluster 26 cells among non-PCs correlated negatively with PFS (P=0.04, logrank test), with samples containing a higher proportion of these cells having an inferior PFS compared to those with a lower proportion (Figure 1 panel A). We subsequently demonstrated that the T cells identified in cluster 26 could also be detected in BM samples from a separate cohort of MM patients analysed using the ESCAPE platform. These patients were treated with daratumumab in the first line or relapsed setting and included patients without t(4;14). Analysis of 15 patients from this cohort revealed that the percentage of cluster 26 cells retained its negative correlation with PFS (P=0.03, logrank test) (Figure 1 panel B).Conclusions We identified a T-cell population which may have prognostic significance in patients with t(4;14 )MM. Interestingly, this population also retains its negative correlation with PFS in a cohort of non t(4;14) patients, suggesting it may have a broader significance across cytogenetic subtypes of MM. The second cohort of patients were treated with daratumumab, hence the novel population may also be relevant in the response to anti -CD38 monoclonal antibody therapy. These data highlight the potential of single cell multi-omic analysis to identify immune micro-environmental signatures that correlate with clinical outcomes in MM. Further work is ongoing to definitively characterize these cells and explore the biological basis for their clinical impact. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Revision of Complete Remission Criteria in Pediatric AML

In AML, complete remission (CR) is traditionally defined by < 5 % blasts, absolute neutrophil count (ANC) < 1000/µL and platelets (plt) > 100000/µL in adult and > 80000/µL in pediatric AML (Cheson et al. 2003). This largely morphologically based definition has remained unchanged for more than two decades. Though proven as a valuable predictor of outcome and survival in clinical practice and trials, awaiting complete hematopoietic recovery still displays a hurdle of unknown prognostic significance in clinical practice. In addition, a great variety of diverse criteria, considering hematopoietic recovery, were established in clinical trials to counter this problem. Thus, the actual relevance of the inclusion of ANC and plt in the current CR definition needs to be reassessed and newly defined in pediatric AML. Data of 1051 pediatric AML patients diagnosed between 2004 and 2020 have been analyzed. Acute promyelocytic leukemia, secondary-, treatment-related and Down syndrome-related AML were excluded. Patients were treated according the German pediatric AML-BFM studies and registries between 2004 and 2019 (Essen, Germany). Diagnostic bone marrow and peripheral blood samples from defined timepoints were collected and reviewed centrally. Patients were allocated to alternative response groups, using combinations of 5 % bone marrow blasts with different thresholds for ANC (250, 500 and 1000 / ul) and plt (20000, 50000 and 80,000 / µl). Survival and outcome of these stratified response groups were compared with the current, established CR criteria (blasts < 5%, ANC < 1000, 80000/ul; -CRtrad). Overall survival (OS) and event-free survival (EFS) were estimated by the Kaplan-Meier method and significance was determined using the log-rank statistic. A total of 1051 patients with a median age at diagnosis of 8.4±6 year (y) were analyzed. OS and EFS were 79.4±1% and 61.2±2%, respectively. CR with hematological regeneration (ANC>1000/µl; Plt >80.000/µl) showed a similar outcome compared with CRp (ANC> 500/µl)/Plts >50000/µl) or CRp (ANC>200/µl; Plts >20000/µl) or "no blasts; Plts > 20000/µl). Only patients with >5% blasts after 1st induction have an inferior EFS (51±3%; p<0.01). According to the centrally reviewed response data provided by the AML-BFM study group, the former CR definition in pediatric AML needs to be revised. Only the presence of leukemic blasts (>5%) after the 1st induction predicts a significantly inferior outcome (in IR and HR). Thus, postponement of the 2nd induction does not seem justified. Our results suggest that the Cheson criteria in AML should be omitted and replaced by a definition CR with ≥ 5% blasts. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Micrornas Analysis in Patients with Myelodysplastic Syndrome. Possible Implications in Risk Stratification

Background. MicroRNAs (miRNAs) are significant regulators of human hematopoietic stem cells (HSC), and their deregulation contributes to hematological malignancies. Systematic analysis of miRNA expression and function during hematopoiesis has revealed regulatory loops where miRNAs contribute to hematopoietic differentiation and function. Among the identified miRNAs, miR-155 can regulate myelopoiesis and erythropoiesis and its overexpression along with the overexpression of miR-125 and miR-181 has been suggested to have functional effects in the regulation of HSC homeostasis. Myelodysplastic syndromes (MDS) are characterized by dysfunctional HSC, ineffective blood cell production, progressive marrow failure, and exhibit a significant risk of progression to acute myeloid leukemia (AML). Although the pathogenesis of MDS has not been fully understood, various alterations of microRNAs (miRNAs) have been reported in MDS. There is recent evidence that the miRNAs mediated post-transcriptional control of gene expression is key component in the pathogenesis of MDS and AML. Several studies have reported that differentially expressed microRNAs are associated with the transformation of MDS to AML and clinical outcomes. Aim. In this study we examined the potential prognostic impact of six previously described miRNAS (miR-181a-2-3p, miR-124-3p, miR-550a-3p, miR-155-5p, miR-151a-3p, and miR-125b-5p) on the pathogenesis of MDS. Methods. Total RNA was extracted from diagnostic bone marrow samples of 41 MDS patients. Patients were stratified per the revised International Prognostic Scoring System (IPSS-R). After polyadenylation of 1 μg total RNA by poly(A) polymerase and subsequent reverse transcription with an oligo-dT adapter primer, miRNAs transcript levels were determined using a reverse transcription quantitative real-time PCR method, based on SYBR Green chemistry. U6 was used as reference gene. Relative microRNA transcript levels were calculated by the 2-ΔΔct method. The IBM SPSS statistics, version 26 (IBM Corporation, North Castle, NY, USA) was used for the statistical analysis of the results. Results. The basic characteristics of the patients are shown in Table 1. Of the microRNAs analyzed in this study, miR-125b-5p, miR-155-5p, miR-181a-2-3p transcript levels were significantly elevated in higher (intermediate, high, and very high) risk MDS than in lower (very low and low) risk MDS (p=0.012, p=0.010, and p=0.024 respectively). MiR-125b-5p, miR-151a-3p, miR-155-5p, miR-181a-2-3p, and miR-550a-3p presented a positive correlation with the percentage of bone marrow blasts [p(0.001-0.05)], while a negative correlation was observed between the expression levels of mir-151-a-3p, miR181a-2-3p, miR-550a-3p, and the neutrophil count (p=0.05, 0.013, 0.010, and 0.007 respectively). None of the remaining factors that were tested (MDS type per the 2016 WHO classification, gender, age at diagnosis, hemoglobin levels, platelet count, and cytopenias) were correlated with the miRNAs levels. Discussion. In this study we demonstrated the notable difference in the pattern of miRNA expression between lower and higher risk MDS patients. It has been shown that deregulation of miR-155-5p and miR-181a-2-3p may promote aberrant hematopoietic stem cell proliferation, differentiation, and progression to AML. Moreover, mice transplanted with miR-155-5p transfected stem cells developed a myeloproliferative disorder with abnormal granulocyte morphology analogous to MDS, suggesting a role in the higher risk MDS phenotype. Finally, it has been reported that miR-181a-3p was strongly expressed in the cytoplasm of high risk MDS cells, in contrast to low risk samples which displayed reduced levels. The identification of miRNAs that distinguish lower risk from higher risk MDS indicates that microRNA expression profile may be exploited to assist with making treatment decisions. Given that certain miRNAs can discriminate MDS subtypes and risk groups, it is not unlikely to think that an miRNA signature could be a useful tool for MDS risk stratification. Based on our current findings and other previously reported results, we continue the study in a larger cohort of patients. Targeting miRNAs may provide new treatment options for MDS Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Associations between early-life and in utero infections and cytomegalovirus-positive acute lymphoblastic leukemia in children.

Childhood infections and cytomegalovirus (CMV) are associated with pediatric acute lymphoblastic leukemia (ALL). CMV dysregulates the host immune system and alters the immune response to subsequent antigenic exposures. We suspect that this immune dysregulation contributes to increased numbers of symptomatic infections in childhood allowing for expansion of pre-leukemic clones. We explored the association between childhood infections, maternal infections during pregnancy and CMV-positive ALL. Using a droplet digital PCR assay, we screened diagnostic ALL bone marrow samples from the California Childhood Leukemia Study (1995-2015) for the presence of CMV DNA identifying CMV-positive and CMV-negative cases. We performed a case-only analysis (n=524) comparing the number and types of childhood infections and maternal infections during pregnancy between CMV-positive and CMV-negative ALL cases using logistic regression. With increasing numbers of infections in the first 12 months of life, children were more likely to classify to the highest tertile of CMV DNA in the bone marrow at diagnosis (OR: 1.04, 95% CI: 1.01-1.08). Specifically, those reporting cough or flu in the first 12 months were more likely to be CMV-positive at ALL diagnosis (OR: 2.15, 95% CI: 1.06-4.37 and OR: 2.06, 95% CI: 1.17-3.63 respectively). Furthermore, those with a history of maternal infection during pregnancy were more likely to be CMV-positive (OR: 2.12, 95% CI: 1.24-3.62). We hypothesize that children with underlying immune dysregulation develop more symptomatic infections in childhood and ultimately CMV-positive ALL; this underlying immune dysregulation may be due to early immune system alterations via CMV exposure (in utero or early infancy) proposing a potential link between CMV and ALL etiology.

Targeting the lncRNA DUXAP8/miR-29a/PIK3CA Network Restores Doxorubicin Chemosensitivity via PI3K-AKT-mTOR Signaling and Synergizes With Inotuzumab Ozogamicin in Chemotherapy-Resistant B-Cell Acute Lymphoblastic Leukemia.

PurposeThis study aimed to determine the expression profiles of long non-coding RNA (lncRNA), microRNA (miRNA), and mRNA in chemotherapy-resistant B-cell acute lymphoblastic leukemia (B-ALL).MethodsLncRNA, miRNA, and mRNA profiles were assessed by RNA-seq in diagnostic bone marrow samples from 6 chemotherapy-resistant and 6 chemotherapy-sensitive B-ALL patients. The lncRNA DUXAP8/miR-29a/PIK3CA signaling network was identified as the most dysregulated in chemoresistant patient samples, and its effect on cellular phenotypes, PI3K-AKT-mTOR signaling, and chemosensitivity of doxorubicin (Dox)-resistant Nalm-6 (N6/ADR), and Dox-resistant 697 (697/ADR) cells were assessed. Furthermore, its synergy with inotuzumab ozogamicin treatment was investigated.Results1,338 lncRNAs, 75 miRNAs, and 1620 mRNAs were found to be dysregulated in chemotherapy-resistant B-ALL in comparison to chemotherapy-sensitive B-ALL patient samples. Through bioinformatics analyses and RT-qPCR validation, the lncRNA DUXAP8/miR-29a/PIK3CA network and PI3K-AKT-mTOR signaling were identified as significantly associated with B-ALL chemotherapy resistance. In N6/ADR and 697/ADR cells, LncRNA DUXAP8 overexpression and PIK3CA overexpression induced proliferation and inhibited apoptosis, and their respective knockdowns inhibited proliferation, facilitated apoptosis, and restored Dox chemosensitivity. MiR-29a was shown to affect the lncRNA DUXAP8/PIK3CA network, and luciferase reporter gene assay showed direct binding between lncRNA DUXAP8 and miR-29a, as well as between miR-29a and PIK3CA. Targeting lncRNA DUXAP8/miR-29a/PIK3CA network synergized with inotuzumab ozogamicin’s effect on N6/ADR and 697/ADR cells.ConclusionTargeting the lncRNA DUXAP8/miR-29a/PIK3CA network not only induced an apoptotic effect on Dox-resistant B-ALL and restored Dox chemosensitivity via PI3K-AKT-mTOR signaling but also showed synergism with inotuzumab ozogamicin treatment.

Dysplasia and PNH-type cells in bone marrow aspirates of myelodysplastic syndromes.

Flow cytometry is increasingly applied in cytopenic patients suspected for myelodysplastic syndromes (MDS). Analysis includes evaluation of antigen expression patterns in granulocytes of which, for example, partial lack of CD16 may indicate dysplasia, but presence of paroxysmal nocturnal hemoglobinuria (PNH)-type cells should be considered. However, diagnostic bone marrow (BM) samples hamper PNH analysis because immature stages in the granulo-/monocytic compartment lack expression of certain glycophosphatidyl-inositol-anchored proteins. In this prospective study, we evaluated the presence of PNH-type cells in BM next to aberrancies from routine MDS immunophenotyping. We combined antibodies defining maturation trajectories with FLAER. Validation of the designed method against routine PNH analysis and parallel analysis of BM and blood samples revealed similar results (granulocytes: Wilcoxon p= 0.25 and p= 0.82, respectively). We analyzed BM samples from 134 MDS, 17 chronic myelomonocytic leukemia, 15 aplastic anemia (AA), 1 PNH, 51 non-clonal cytopenic controls, and 12 normal controls. Most AA/PNH-BM samples showed clear PNH clones: median 1.1% (0%-35%); CD16 loss on mature neutrophils paralleled PNH-clone sizes. In MDS-BM, only 3.7% of cases showed ≥0.1% PNH-type cells, whereas partial CD16 loss was more frequent and abundant. Our findings confirm that dysplastic features in MDS-BM may point to presence of PNH-type cells, though only few cases displayed FLAER-negative cells. We showed that identification of these cells in the granulocyte compartment of BM specimen is feasible, but-according to international guidelines-results need to be confirmed in peripheral blood.

Genomic Heterogeneity and Clonal Evolution in High Hyperdiploid Childhood Acute Lymphoblastic Leukemia

High hyperdiploid (HeH) B-cell precursor acute lymphoblastic leukemia (BCP ALL) is characterized by a very specific nonrandom gain of chromosomes; a feature distinct from other types of aneuploid tumor types that usually display very heterogeneous gains and losses of chromosomes. Gains of chromosomes X, 4, 6, 10, 14, 17, and 18 are seen in more than 75% of cases of HeH childhood ALL, and of chromosome 21 in 100% of cases. In contrast to many aneuploid malignancies, there has been little evidence of chromosomal instability (CIN) in HeH ALL and the mechanisms leading to these chromosomal gains remain unknown. The aim of this project was to determine the level of genomic heterogeneity in HeH ALL. In order to do this, we performed low-pass whole genome sequencing (WGS) of single cells isolated from diagnostic bone marrow samples from HeH ALL patients to investigate cell-to-cell heterogeneity. Single nuclei in G 1 phase from nine diagnostic childhood HeH ALL samples were isolated using fluorescence-activated cell sorting and DNA libraries were constructed for low-pass WGS. Copy number analysis for each individual cell was performed in-house using the software programs AneuFinder and Ginkgo. Homolog inheritance of chromosomes gained or lost was determined by screening for heterozygous variants and calculation of the variant allele frequencies (VAF). Sequencing 2,572 single cells showed that the nine HeH ALL patients were all relatively homogenous at the trunk of their evolution tree and that the bulk of chromosomal gains were stable and unchanging. Structural aberrations, visible as partial chromosome copy number changes, were detected at diagnosis in most cases, with a greater number of structural aberrations detected in patients with greater numbers of sub-clones (defined as three or more cells presenting with the same numerical and structural aberrations). Unique numerical chromosomal aberrations detected in two or fewer cells were relatively random and therefore indicative of nondisjunction events in recent cell divisions rather than being part of the clonal evolution of the leukemia. These results indicate very low heterogeneity in HeH ALL and suggests that the genome of these leukemias is relatively stable. DisclosuresNo relevant conflicts of interest to declare.

The Effect of Cytomegalovirus on Pediatric Acute Lymphoblastic Leukemia

Background: Recent evidence supports the role of cytomegalovirus (CMV) in the development of childhood ALL. The underlying mechanism and CMV's role in the leukemic cell phenotype is unknown, but CMV typically interacts with the host immune system allowing the virus to survive in a latent state; it may be that this immune dysregulation affects the risk of ALL. This study aims to explore the association of CMV and ALL at the time of leukemia diagnosis, using AML cases as a control and further, to determine whether CMV affects certain subgroups of ALL patients such as specific ethnicities, age groups, or cytogenetic subtypes.Methods: Pediatric diagnostic leukemia bone marrow samples obtained from the California Childhood Leukemia Study were screened for the presence of CMV DNA using a custom-designed droplet digital PCR assay. A total of 869 cases were analyzed including 125 AML cases and 744 ALL cases. Demographic and clinical features were compared between patients found to be CMV positive (cases with any detectable CMV positive droplets) and those who were CMV negative (cases with no detectable CMV positive droplets). The effect of the level of CMV viral DNA load was also assessed. For a subset of cases (n=61), Affymetrix Array gene expression data were available and differential gene expression performed to compare CMV positive cases with high viral load to CMV negative cases. Odds ratios and confidence intervals were estimated using logistic regression.Results: ALL cases were more likely to be CMV positive compared to AML (OR: 2.50; CI 1.00, 5.47, p = 0.039 for CMV highest quintile vs. CMV negative). Within ALL cases, B-cell ALL (B-ALL) was significantly associated with CMV positivity compared to T-cell ALL (T-ALL) (OR: 2.93; CI: 1.01, 8.52, p = 0.048 for CMV highest tertile vs. CMV negative). Further subtype analysis of B-ALL cases revealed CMV positivity to be significantly associated with high hyperdiploidy, one of the most common ALL subtypes, when compared to ETV6-RUNX1 (OR: 2.52; CI:1.34, 4.73, p = 0.004 for highest CMV tertile vs. CMV negative). CMV positive B-ALL cases were also more likely to harbor deletions of EBF1, a B-cell development gene, compared to CMV negative cases (OR: 6.10; CI: 1.09, 34.06, p = 0.04 for CMV 2 nd tertile vs. CMV negative; OR: 5.54; CI: 1.13, 27.18, p = 0.03 for CMV highest tertile vs. CMV negative). Differential gene expression analysis revealed 830 genes to be significantly differentially expressed between the highest quintile of CMV positive cases and CMV negative cases, and gene ontology analysis revealed upregulation of processes involved in viral infection and replication. Specifically, cytokine signaling pathways including IL-1, IL-8, and IL-7 were upregulated in CMV positive cases while Th1 and the pathway facilitating crosstalk between dendritic cells and natural killer cells were downregulated. Interestingly, B-cell receptor signaling was also upregulated in CMV positive cases.Conclusion: Our results support the hypothesis that CMV plays an enhanced role in leukemia development in specific subtypes of ALL, and not in AML development. The ability of CMV to interact with the host immune system, highlights immune dysregulation as a potential mechanism by which CMV contributes to risk of ALL. Gene expression analysis on a subset of cases revealed differentially expressed genes to be enriched in pathways involved in immune response, suggesting a potential role for active CMV infection in the leukemic phenotype. The patterns of up- and downregulation in these pathways were consistent with the host response to CMV. Additionally, acute CMV infection has been shown to promote B-cell activation and proliferation. Further, CMV seropositive individuals have been reported to have altered immune responses even with the virus in a latent state highlighting the virus's effect on B-cells. In our study we also found B-cell receptor signaling to be upregulated in CMV positive cases. This is consistent with the known effects of CMV in a typical host, but in patients with leukemia it provides an interesting potential link between CMV infection and development of pediatric ALL. These intriguing results require validation and warrant continued investigation of the role of CMV in pediatric leukemia development. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

Duplex Sequencing for Ultra-Low Frequency Measurable Residual Disease Detection in Adult Acute Myeloid Leukemia

Background:The presence of measurable residual disease (MRD) is strongly associated with treatment outcomes in acute myeloid leukemia (AML). However, > 20% of MRD negative cases (as assessed by flow cytometry) subsequently relapse. We sought to determine if ultrasensitive Duplex Sequencing (DS), which relies on double-stranded consensus-making to achieve an error rate below one-in-ten-million, yields better prognostic performance via molecular MRD detection.Methods:Retrospective targeted DNA sequencing of 29 genes recurrently mutated in adult AML was performed on paired diagnostic and remission bone marrow samples from patients enrolled on the SWOG trial S0106 (randomized 7+3 versus 7+3 + gemtuzumab ozogamicin (GO)). Patients were selected if they had remission samples with flow cytometry results (n=67). Non-error corrected sequencing was performed on diagnostic samples (average depth 279x) and DS was performed on remission samples (average duplex molecular depth 27,002x). For each patient, potential germline variants were identified and excluded from the analysis if the variant allele fraction (VAF) was ≥ 35% at both diagnosis and remission, or ≥ 40% at either time point and a gnomAD allele frequency ≥ 0.05. Somatic variants present at diagnosis were classified as potentially deleterious if computationally predicted as such and with a VAF ≥ 5% (≥ 1% for FLT3-ITD/NPM1 insertions). For analysis of residual disease in remission, we evaluated the following outcomes (events): overall survival (OS; death), relapse-free survival (RFS) and time to relapse (TTR; relapse with death a competing event). All outcomes were measured from date of morphologic remission to date of event, with patients without event censored at date of last contact. Associations between residual disease and outcomes were assessed using Cox regression models (cause-specific model for TTR).Results:The median age was 48 years (range 8-60). 32 patients were randomized to 7+3 and 30 to 7+3+GO. A total of 172 potentially deleterious variants were identified in the diagnostic samples. Variants had an average VAF of 31% (range 1.4-91.5%) at diagnosis and were detected in 23 of the 29 genes, with FLT3 being the most frequently mutated. Of the 67 patients analyzed, 93% (n=62) had at least one variant detected at diagnosis (median 2, range 0-9) and 68% (n=42) had at least one residual diagnostic variant also found in the remission sample.We defined the presence of DS MRD as non-DTA (DNMT3A, TET2, ASXL1) time-of-diagnosis mutations identified at the remission time point with a VAF > 0.1% and/or an NPM1 VAF > 0.01% (PMID:31860405). DS MRD was strongly associated with all outcomes, with hazard ratios (and 95% CI) for TTR: 7.1 (2.7-18.9); RFS: 4.9 (2.2-10.9) and OS: 5.1 (2.1-12.3).As a comparator, we correlated treatment outcomes with the results of a flow cytometry MRD assay previously carried out on the same samples during the S0106 trial. The prognostic association of flow MRD with TTR, RFS and OS was less strong (i.e., a smaller hazard ratio) than DS MRD, with TTR: 2.5 (0.9-6.7); RFS: 2.2 (0.9-5.4) and OS: 2.4 (1.0-6.1). RFS and TTR for DS MRD and flow cytometry are plotted below for the 62 patients with a variant detected at diagnosis.Comparing DS MRD with flow cytometry, discordance was found in 20 cases: 15 cases where DS was positive and flow negative, and 5 cases in the opposite direction. Among the 15 discordant cases with DS positive and flow negative, 9 relapsed and 2 died without relapse and 4 were alive without relapse at last contact. Among the 5 discordant cases with DS negative and flow positive, 1 relapsed, 1 died without relapse, and 3 were alive without relapse at last contact.Conclusions:Among the 67 patients evaluated in this prospectively collected study, the presence of MRD defined by DS was strongly associated with adverse disease outcomes. The vast majority of patients had at least one time-of-diagnosis mutation that could be tracked as a measure of MRD. When compared with flow cytometry, DS exhibited superior negative and positive predictive values for foretelling future relapse, although this could potentially reflect the historical version of the flow cytometry assay used. These findings suggest that DS is a powerful tool that could be used in patient management and for early treatment assessment in clinical trials. [Display omitted] DisclosuresHourigan: Sellas: Research Funding. Radich: Amgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees.