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Despite the inclusion of inherited myeloid malignancies as a separate entity in the World Health Organization Classification, many established predisposing loci continue to lack functional characterization. While germline mutations in the DNA repair factor ERCC excision repair 6 like 2 (ERCC6L2) give rise to bone marrow failure and acute myeloid leukaemia, their consequences on normal haematopoiesis remain unclear. To functionally characterise the dual impact of germline ERCC6L2 loss on human primary haematopoietic stem/progenitor cells (HSPCs) and mesenchymal stromal cells (MSCs), we challenged ERCC6L2-silenced and patient-derived cells ex vivo. Here, we show for the first time that ERCC6L2-deficiency in HSPCs significantly impedes their clonogenic potential and leads to delayed erythroid differentiation. This observation was confirmed by CIBERSORTx RNA-sequencing deconvolution performed on ERCC6L2-silenced erythroid-committed cells, which demonstrated higher proportions of polychromatic erythroblasts and reduced orthochromatic erythroblasts versus controls. In parallel, we demonstrate that the consequences of ERCC6L2-deficiency are not limited to HSPCs, as we observe a striking phenotype in patient-derived and ERCC6L2-silenced MSCs, which exhibit enhanced osteogenesis and suppressed adipogenesis. Altogether, our study introduces a valuable surrogate model to study the impact of inherited myeloid mutations and highlights the importance of accounting for the influence of germline mutations in HSPCs and their microenvironment.

Patients with myelodysplastic syndrome and ring sideroblasts (MDS-RS) present with symptomatic anemia due to ineffective erythropoiesis that impedes their quality of life and increases morbidity. More than 80% of patients with MDS-RS harbor splicing factor 3B subunit 1 (SF3B1) mutations, the founder aberration driving MDS-RS disease. Here, we report how mis-splicing of coenzyme A synthase ( COASY ), induced by mutations in SF3B1 , affects heme biosynthesis and erythropoiesis. Our data revealed that COASY was up-regulated during normal erythroid differentiation, and its silencing prevented the formation of erythroid colonies, impeded erythroid differentiation, and precluded heme accumulation. In patients with MDS-RS, loss of protein due to COASY mis-splicing led to depletion of both CoA and succinyl-CoA. Supplementation with COASY substrate (vitamin B5) rescued CoA and succinyl-CoA concentrations in SF3B1 mut cells and mended erythropoiesis differentiation defects in MDS-RS primary patient cells. Our findings reveal a key role of the COASY pathway in erythroid maturation and identify upstream and downstream metabolites of COASY as a potential treatment for anemia in patients with MDS-RS.

International audience; The unfolded protein response (UPR) is an evolutionarily conserved adaptive signaling pathway triggered by a stress of the endoplasmic reticulum (ER) lumen compartment, which is initiated by the accumulation of unfolded proteins. This response, mediated by three sensors-Inositol Requiring Enzyme 1 (IRE1), Activating Transcription Factor 6 (ATF6), and Protein Kinase RNA-Like Endoplasmic Reticulum Kinase (PERK)-allows restoring protein homeostasis and maintaining cell survival. UPR represents a major cytoprotective signaling network for cancer cells, which frequently experience disturbed proteostasis owing to their rapid proliferation in an usually unfavorable microenvironment. Increased basal UPR also participates in the resistance of tumor cells against chemotherapy. UPR activation also occurs during hematopoiesis, and growing evidence supports the critical cytoprotective role played by ER stress in the emergence and proliferation of leukemic cells. In case of severe or prolonged stress, pro-survival UPR may however evolve into a cell death program called terminal UPR. Interestingly, a large number of studies have revealed that the induction of proapoptotic UPR can also strongly contribute to the sensitization of leukemic cells to chemotherapy. Here, we review the current knowledge on the consequences of the deregulation of UPR signaling in leukemias and their implications for the treatment of these diseases.

Cancer development is an evolutionary process driven by the acquisition of stochastic mutations, some of which increase cellular fitness in a co-evolving microenvironment.[1][1] Evidence across multiple cancer types demonstrates that this process is highly protracted, likely beginning years or even

Myelodysplastic syndrome (MDS) is a hematological clonal stem cell disease. Recurrent splicing factors mutations are reported in 50% of MDS. Interestingly, mutations in the splicing factor gene SF3B1 are over-represented in MDS with ring sideroblasts (MDS-RS), co-occurring in up to 90% of patients. In MDS-RS, anemia is the major clinical manifestation. Erythropoiesis stimulating agents (ESAs) are used to treat anemia; however, the overall response rates are 20% to 40% with a duration of response of 18-24 months. New therapeutic options are needed to improve response to ESAs treatment and delay red blood cell transfusion, which are associated with acute myeloid leukemia progression and increase in morbidity. Mutations in SF3B1 modify the recognition pattern of the 3' splice site and lead to subsequent mis-splicing of its targets. To identify critical mis-splicing events involved in the erythroid differentiation blockage, we performed splicing analysis on RNA sequencing generated from hematopoietic stem/progenitor cells undergoing differentiation. Three MDS primary samples harboring SF3B1 mutations and three age-matched healthy donors cultured under normoxia and hypoxia conditions were initially used for the analysis. High depth RNA sequencing and differential splicing analyses using rMATS identified 2,845 mis-spliced events including 200 shared between hypoxia and normoxia conditions. Here, using a cohort of 42 MDS samples, we report the mis-splicing of the coenzyme A synthase (COASY) transcript. Heme synthesis relies on succinyl-CoA synthesis, and its production itself depends on the availability of cellular CoA. We thus hypothesised that COASY mis-splicing is a key driver of ineffective erythropoiesis in MDS-RS patients. In primary hematopoietic cells, COASY is upregulated during erythroid differentiation and its silencing in CD34 + cells severely impedes the generation of mature erythroid cells CD71 - CD235a + and causes disruption in heme production. Functional characterisations of the CRISPR-CAS9 edited K562 SF3B1K700E and the SF3B1-mutated HNT-34 cell lines confirmed that COASY mis-splicing impairs COASY protein synthesis that ultimately results in 60% loss of the protein. Metabolomic analysis showed that COASY mis-splicing depletes cells in CoA and succinyl-CoA metabolites, however this phenotype can be rescued by supplementation with vitamin B5, a CoA precursor. Consequently, we showed in vitro that saturating the 40% of remaining COASY enzyme with vitamin B5 or supplementing medium with its downstream by-product, succinyl-CoA, improved erythropoietic differentiation in MDS SF3B1mut patients. In summary, our results for the first time show that SF3B1 mutations induce coenzyme A synthase (COASY) transcript mis-splicing, that consequently leads to measurable defects in metabolites essential for heme biosynthesis. Our report reveals a novel critical role of COASY in regulating normal bone marrow erythropoiesis through control of succinyl-coA during human erythroid differentiation. Remarkably, partial loss of the coenzyme A synthase in MDS-RS patients leads to disruption in the erythroid lineage as well as heme deficiency, that can be rescued by exogenous treatment with vitamin B5 or succinyl-CoA. Therefore, vitamin B5 could represent a very attractive agent to combine with existing treatments in order to increase erythroid maturation and delay red blood cell transfusion dependency in MDS-RS patients. Graphical representation: SF3B1 mutant causes mis-splicing in COASY that results in loss of protein. Deficiency in COASY triggers a downregulation of succinyl-CoA that is involved in the rate limiting step of heme synthesis. Heme deficiency subsequently impairs erythroid differentiation. Treatment of MDS SF3B1 mutant cells with vitamin B5 (precursor of CoA), or succinyl-CoA, rescues erythroid differentiation. Figure 1 Figure 1. Disclosures Platzbecker: Geron: Honoraria; Takeda: Honoraria; Janssen: Honoraria; Celgene/BMS: Honoraria; Novartis: Honoraria; AbbVie: Honoraria. Wiseman: Bristol Myers Squibb: Consultancy; Novartis: Consultancy; StemLine: Consultancy; Takeda: Consultancy; Astex: Research Funding. Gribben: Abbvie: Honoraria; AZ: Honoraria, Research Funding; BMS: Honoraria; Gilead/Kite: Honoraria; Janssen: Honoraria, Research Funding; Morphosys: Honoraria; Novartis: Honoraria; Takeda: Honoraria; TG Therapeutis: Honoraria.

Background: The poor-risk cytogenetic subgroup of acute myeloid leukaemia (AML) includes various chromosomal aberrations and represents a heterogeneous population of patients with a dismal 10-year overall survival. While the success of genetic landscaping studies is encouraging, it is debatable whether genomics, or indeed any single-omics platform alone, is sufficient to capture the biology of a disease that continues to evade our existing treatments so effectively. Instead, we need to develop a much better understanding of the complexity of this subgroup of AMLs: the relationship and interdependencies across biochemical pathways, how these may differ between patients and their impact on the leukemia and normal stem cell compartments. To launch this process, we have completed a multi-omics profiling programme to shed new light on the genetic and biochemical features of poor-risk AML (https://poor-risk-aml.bham.ac.uk/). Aims: Application of multi-omics and integrative approaches to decipher the complexities of cytogenetically poor-risk AML Methods: Sample inclusion criteria were based on cytogenetics and availability of sufficient diagnostic bone marrow or peripheral blood material for analysis. The 50 primary AMLs included 17 cases with complex karyotype, 13 -7/del(7), 11 KMT2A rearrangements (with the exception of t(9;11)), 4 t(6;9), 3 -5/de(5), 1 del(17) and 1 inv(3). Profiles consisted of a combination of genomics (whole genome sequencing (WGS, 60X for tumour and 30X for germ-line controls), targeted sequencing of 54 myeloid loci, and total RNA-seq (100 million reads per bulk sample), mass spectrometry proteomics and phosphoproteomics (with >6,000 proteins and > 25,000 phosphorylation sites detected and quantified), mass cytometry (CyTOF, 39 markers), drug screening (ranging from 200-500 approved or investigational compounds) and the selective generation of patient-derived xenograft (PDX) models. Results: Near complete datasets have been compiled on all 50 primary AMLs, with the exception of WGS analysis where profiling was restricted to cases where corresponding germline DNA was available. Integration of WGS and RNA-seq data identified 122 genes having notable allele-specific expression (ASE) in ≥ 5 samples supported by ≥ 3 SNPs and these included the transcription factor GATA2 and the DNA topoisomerase TOP1MT. Use of RNA fusion capture tools resolved novel inter- and intra- chromosomal gene rearrangements that were confirmed by WGS. The four t(6;9)(p23;q34)/DEK-NUP214 cases, with a mean age of diagnosis of 43.5 years and all harboring FLT3-ITD mutations, arose from the most immature hematopoietic compartment (CD34+CD117+ enrichment) and demonstrated a unique transcriptomic signature, which included upregulation of FOXO3 and GRP56. Collectively, t(6;9) primary samples also showed a selective drug sensitivity to XPO1 (selinexor and eltanexor) and JAK inhibitors (ruxolitinib, tofacitinib and momelotinib) compared to other cytogenetic risk groups. On the other hand, a comparison of in vitro drug sensitivity data with genomic data of our entire cohort of patients demonstrated that TP53 wt AMLs (n=37) were more sensitive to all four MDM2 inhibitors (AMG-232, idasanutlin, SAR405838 and NVP-CGM097) compared to TP53 mutated cases (n=13). Comparisons of transcriptomics with the in vitro sensitivity to drugs included in early/late phase AML clinical trials, identified signatures of response associated with MDM2 and Aurora B kinase (AZD1152-HQPA) inhibitors. Phosphoproteomics analysis and machine learning modeling separated KMT2A rearranged leukemias into 2 discrete groups (group A: MLLT4, MLLT10 and TET1; group B with MLLT6, ELL and SEP9 fusion partners). Functionally, group A presented with elevated HOXA10 protein expression and enhanced in vitro response to genotoxic drugs and cell cycle inhibitors when compared to group B leukemia. Conclusions: Our study demonstrates the feasibility of simultaneously generating omics data from several different platforms and highlights that a combination of genetic and proteomic profiles may help to inform the choice of therapies based on the underlying biology of a patient's AML. Disclosures Wennerberg: Novartis: Research Funding; Pfizer: Honoraria. Heckman:Celgene: Research Funding; Novartis: Research Funding; Oncopeptides: Research Funding; Orion Pharma: Research Funding; Innovative Mediicines Initiative project Harmony: Research Funding.

Cancers can be best described as genetic diseases, where mutations typically accumulate over a protracted period of time, leading to a cellular shift from normalcy to malignancy and an ever-evolving tumour and its microenvironment. The tools at our disposal to characterise the genetic landscape(s) of these tumours and our appreciation of their complexity have fundamentally changed over the last 10 years, following the first whole-genome sequencing (WGS) of a case of acute myeloid leukaemia (AML) in 2008 and the introduction of global initiatives (e.g. The Cancer Genome Atlas (TCGA)), both with an overarching goal of improving diagnosis, treatment and cancer prevention by setting out to systematically explore the entire spectrum of genomic changes involved in human disease. While this journey is far from complete, modern diagnosis of cancers now relies on the integration of morphological and molecular information that, together, offer the potential to refine classification, establish prognosis and determine the most appropriate treatment for groups of patients. In this chapter, we examine how genomics has revolutionised our understanding of the diagnosis of blood cancers, using the exemplar of AML, and how this new knowledge is set to inform and direct treatment in the near future.