Explore the vast range of titles available.

Clonal hematopoiesis (CH) denotes somatic mutations in genes related to myeloid neoplasms present at any variant allele frequency (VAF). Clonal hematopoiesis is associated with increasing age and with a factor 6 increase in the risk of developing therapy-related myeloid neoplasms (tMNs) following autologous stem cell transplantation (ASCT). However, the impact of specific mutations on progression from CH to tMN has yet to be unraveled, and it remains unclear whether mutations directly impact or even drive the development of tMN. We performed deep sequencing in longitudinal samples from a cohort of 12 patients with either multiple myeloma or lymphoma who developed tMN following ASCT. Nine patients had one or more mutations that could be tracked longitudinally. Seven patients had clonal expansion from time of ASCT to diagnosis of tMN. Of these, six patients had CH at VAF < 2% at baseline. The median VAF of non-DNMT3A clones increased from 1% (IQR 0.7%–10.0%) at time of ASCT to 37% (IQR 17%–47%) at tMN diagnosis (P = 0.002), while DNMT3A clones showed quiescent trajectories (P = 0.625). Our data provide evidence to support the hypothesis that the development of tMN following ASCT is likely instigated by CH present at VAFs as low as 0.5%, detectable years before tMN onset.

Background: In acute myeloid leukemia (AML), the most sensitive measurable residual disease (MRD) methods are single-gene approaches, but these are applicable only in ~60% of AML cases. Methods: We applied multi-omics single-cell analysis on diagnostic and first remission samples to identify leukemia-specific molecular markers for subsequent MRD monitoring in six AML patients lacking AML-defining variants. Results: Five selection criteria were defined to identify suitable MRD markers. Markers of primordial leukemic clones were identified by combining data from single-cell sequencing and immunophenotyping. Specific markers suitable for use in MRD follow-up were identified in 6/6 patients, in some cases in myelodysplasia-related genes and clonal hematopoiesis-related genes usually not recommended for use in MRD determinations. Patient-specific ddPCR (limits of detection: 0.06–0.0011%) or EC-NGS assays correlated with therapeutic responses: 0/4 markers displayed molecular relapses in three non-relapsing patients, contrary to 4/4 markers of three relapsing patients. Of these, 3/4 and 1/4 markers detected molecular relapses earlier than or simultaneous with conventional methods, respectively (−115 to −338 days). Conclusions: Our results demonstrate that single-cell subclonal mapping at diagnosis and during first remission enables selection of reliable MRD targets for personalized disease surveillance in patients lacking conventional MRD markers.

In a proportional hazards model, independent risk factors for death were increasing age with a 52% increase in risk of death per increasing decade of life (HR 1.52 (95% CI 1.13–2.07)) and chromosome 17 aberrations (HR 8.00 (95% CI 1.91–33.5); Supplementary Figs. In this nationwide population-based cohort study, our findings reveal that the main risk factor for mortality in patients eligible for intensive treatment is patient age at the time of diagnosis. [12] reported a 5-year OS of 72% and 5-year RFS of 63%. [...]the high remission-inducing potential of FLAG-based regimens must be weighed against the inherent toxicity, as DA-based treatment represents a highly efficient alternative. Despite the effective treatment, relapse constituted the main cause of mortality for patients in accordance with data from Hospital MA. et al.

Background The current literature on single cell genomic analyses on the DNA level is conflicting regarding requirements for cell quality, amplification success rates, allelic dropouts and resolution, lacking a systematic comparison of multiple cell input down to the single cell. We hypothesized that such a correlation assay would provide an approach to address the latter issues, utilizing the leukemic cell line OCI-AML3 with a known set of genetic aberrations. Results By analyzing single and multiple cell replicates (2 to 50 cells) purified by micromanipulation and serial dilution we stringently assessed the signal-to-noise ratio (SNR) from single as well as a discrete number of cells based on a multiple displacement amplification method, with whole exome sequencing as signal readout. In this setting, known OCI-AML3 mutations as well as large copy number alterations could be identified, adding to the current knowledge of cytogenetic status. The presence of DNMT3A R882C, NPM1 W288 fs and NRAS Q61L was consistent, in spite of uneven allelic read depths. In contrast, at the level of single cells, we observed that one-third to half of all variants were not reproduced in the replicate sample, and this allelic mismatch displayed an exponential function of cell input. Large signature duplications were discernible from 5 cells, whereas deletions were visible down to the single cell. Thus, even under highly optimized conditions, single cell whole genome amplification and interpretation must be taken with considerable caution, given that allelic change is frequent and displays low SNR. Allelic noise is rapidly alleviated with increased cell input, and the SNR is doubled from 2 to 50 cells. Conclusions In conclusion, we demonstrate noisy allele distributions, when analyzing genetic aberrations within single cells relative to multiple cells. Based on the presented data we recommend that single cell analyses should include replicate cell dilution assays for a given setup for relative assessment of procedure-specific SNR to ensure that the resolution supports the specific hypotheses.

External quality assurance (EQA) programs are vital to ensure high quality and standardized results in molecular diagnostics. It is important that EQA for quantitative analysis takes into account the variation in methodology. Results cannot be expected to be more accurate than limits of the technology used, and it is essential to recognize factors causing substantial outlier results. The present study aimed to identify parameters of specific importance for JAK2 V617F quantification by quantitative PCR, using different starting materials, assays, and technical platforms. Sixteen samples were issued to participating laboratories in two EQA rounds. In the first round, 19 laboratories from 11 European countries analyzing JAK2 V617F as part of their routine diagnostics returned results from in-house assays. In the second round, 25 laboratories from 17 countries participated. Despite variations in starting material, assay set-up and instrumentation the laboratories were generally well aligned in the EQA program. However, EQA based on a single technology appears to be a valuable tool to achieve standardization of the quantification of JAK2 V617F allelic burden.