Clinical and biological implications of driver mutations in myelodysplastic syndromes. Blood. 2013;122:3616-3627; quiz 3699. [PMID: 24030381 DOI: 10.1182/blood-2013-08-518886]

Real world efficacy of luspatercept in patients with lower-risk myelodysplastic syndromes/neoplasms (MDS); a single center study in a heavily pretreated cohort

Anemia leads to transfusion dependence and decreases quality of life in LR-MDS patients. Our study retrospectively evaluates the efficacy and safety of luspatercept in the real-world treatment of anemia in LR-MDS, and the impact of patient and disease characteristics on hematologic improvement erythroid (HI-E). Baseline patient and disease characteristics, and transfusion burden (TB) were captured. HI-E was assessed in patients with ≥16 weeks of therapy per IWG 2018 criteria. Luspatercept achieved high rates (58.1%) of transfusion independence (TI) in heavily pretreated LR-MDS patients (median 58.3 weeks). Response was associated with serum EPO <100 mU/ml, but not with any other baseline characteristic. Adverse effects, including shortness of breath, falls, fatigue, and hypertension, precipitated discontinuation in 8%. Eleven percent progressed to HR-MDS or AML. Median overall survival was not reached and did not differ between responders and nonresponders (p=NS).

The Crossroads of Clonal Evolution, Differentiation Hierarchy, and Ontogeny in Leukemia Development

SIGNIFICANCE

In recent years, remarkable technological advances have illuminated aspects of the pathogenesis of myeloid malignancies-yet outcomes for patients with these devastating diseases have not significantly improved. We posit that a synthesized view of the three dimensions through which hematopoietic cells transit during their healthy and diseased life-clonal evolution, stem cell hierarchy, and ontogeny-promises high yields in new insights into disease pathogenesis and new therapeutic avenues.

STAT signaling in the pathogenesis and therapy of acute myeloid leukemia and myelodysplastic syndromes

Acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) represent complex hematopoietic malignancies characterized by ineffective hematopoiesis and dysregulated myeloid differentiation. Recent research has underscored the critical role of aberrant STAT signaling pathways, particularly involving STAT3 and STAT5, in the pathogenesis of these disorders. Aberrant activation of STAT proteins has been implicated as a mediator of oncogenesis in several malignancies. In this review, we discuss the role of STAT proteins in both regulated and dysregulated hematopoiesis, the consequences of dysregulation in acute myeloid leukemia and myelodysplastic syndromes, therapeutic strategies, and recent advancements in STAT-targeted therapy. By integrating findings from recent preclinical and clinical studies, this review provides insights into the evolving landscape of STAT-targeted therapies, highlighting the promise of these approaches in enhancing treatment efficacy and improving patient outcomes in high-risk hematologic malignancies.

Understanding Human Oncogene Function and Cooperativity in Myeloid Malignancy Using iPSCs

Myeloid malignancies are a spectrum of clonal disorders driven by genetic alterations that cooperatively confer aberrant self-renewal and differentiation of hematopoietic stem and progenitor cells (HSPCs). Induced pluripotent stem cells (iPSCs) can be differentiated into HSPCs and have been widely explored for modeling hematologic disorders and cell therapies. More recently, iPSC models have been applied to study the origins and pathophysiology of myeloid malignancies, motivated by the appreciation for the differences in human oncogene function and the need for genetically defined models that recapitulate leukemia development. In this review, we will provide a broad overview of the rationale, the challenges, practical aspects, history, and recent advances of iPSC models for modeling myeloid neoplasms. We will focus on the insights into the previously unknown aspects of human oncogene function and cooperativity gained through the use of these models. It is now safe to say that iPSC models are a mainstay of leukemia modeling "toolbox" alongside primary human cells from normal and patient sources.

Redox biomarker levels in patients with myelodysplastic syndrome

Myelodysplastic syndrome (MDS) is a heterogeneous clonal disorder characterized by insufficient hematopoiesis, peripheral blood cytopenia and an increased risk for malignant transformation to acute myeloid leukemia. Several factors, such as age, sex and lifestyle, promote the development of MDS syndrome. Oxidative stress, along with its detrimental effects, cause hematological disorders; however, its role in the pathogenesis of MDS is unknown. The present study enrolled 50 patients with MDS and 50 additional healthy individuals to assess the endogenous antioxidant defense system by measuring specific redox biomarkers at the time of diagnosis. Glutathione (GSH) levels, catalase (CAT) activity and total antioxidant capacity (TAC) were measured in red blood cells, whereas levels of thiobarbituric acid reactive substances (TBARS) and protein carbonyls were measured in the plasma. A decrease in GSH levels, increased TBARS levels and TAC levels were observed in patients with MDS compared with healthy volunteers, supporting the hypothesis that oxidative stress disturbance could promote MDS.

Transplantation outcomes of TP53-mutant AML and MDS: a single transplantation center experience of 63 patients

Allogeneic hematopoietic stem cell transplantation is recommended for TP53-mutant acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) despite a high relapse rate and poor survival. To understand TP53 alterations on a molecular level and define stratified prognostic outcomes following transplantation, we performed targeted next-generation sequencing on 63 patients who underwent transplantation for TP53-mutant AML/MDS and profiled their molecular spectrum. Sixty-eight TP53 mutations were detected, with a median variant allele frequency of 46.8%. Copy number alterations at the TP53 locus were present in 19 patients (30%). Complex karyotype was detected in 48 patients (76%) and was significantly associated with larger TP53 clone size, bi-allelic status, and the absence of concurrent mutations, reflecting the high TP53 mutational burden. Specifically, 51 patients (81%) with the dominant TP53 clone greatly overlapped with those with the complex karyotype. Multivariable overall survival (OS) analysis identified AML (hazard ratio [HR], 2.51; P = 0.03) and TP53 clonal dominance (HR, 5.30; P = 0.002) as prognostic factors. One-year OS was worse in AML with the dominant TP53 clone than in others (13% vs 61%; P < 0.001). Our results underscore the utility of mutational profile-guided risk stratification in patients with TP53-mutant AML/MDS, and could aid in transplantation-related decision-making.

Myelodysplastic syndromes with del(20q) transformed into B-lineage acute lymphoblastic leukemia remaining with del(20q): a case report with literature review

BACKGROUND

The transformation of myelodysplastic syndromes (MDS) into acute myeloid leukemia (AML) is common, while it is extremely rarely for acute lymphoblastic leukemia (ALL) transformation. Herein, we described the clinical and cytogenetic features of a case of MDS with del(20q) transformed into B-lineage ALL (B-ALL) remaining with del(20q).

CASE PRESENTATION

A 66-year-old Chinese man who presented with pancytopenia, bone marrow hypercellularity and obvious megakaryocytes dysplasia were admitted for treatment. Karyotype analysis of leukemic cells revealed the clonal abnormality of del(20q) and he was diagnosed with MDS carrying del(20q). He was administrated with Danazol, cyclosporin A, and lenalidomide for 3 months, and then discontinued due to poor efficacy, severe swelling and aching of gum. He was subsequently treated with Chinese herbs and uninterrupted platelet infusion. After 41 months, this patient evolved into B-ALL. Cytogenetics demonstrated that in addition to the previous abnormality of del(20q), an emerging clonal abnormality of + 21 was observed. Unfortunately, the patient failed to achieve remission after receiving conventional treatment and other symptomatic supportive treatment.

CONCLUSION

This study reported a rare case of B-ALL with del(20q) following MDS with del(20q), and conducted a literature review to explore the clinical features and potential mechanisms of disease transformation in patients with MDS progression to ALL. Collectively, this study will help enrich the knowledge of MDS progression to ALL.

Integrating advanced analytical methods to assess epigenetic marks affecting response to hypomethylating agents in higher risk myelodysplastic syndrome

BACKGROUND

Patients with higher-risk (HR) myelodysplastic syndrome (MDS), ineligible for allogeneic hematopoietic stem cell transplantation (alloHSCT), require prompt therapeutic interventions, such as treatment with hypomethylating agents (HMAs) to restore normal DNA methylation patterns, mainly of oncosuppressor genes, and consequently to delay disease progression and increase overall survival (OS). However, response assessment to HMA treatment relies on conventional methods with limited capacity to uncover a wide spectrum of underlying molecular events.

METHODS

We implemented liquid chromatography-tandem mass spectrometry (LC-MS/MS) to assess 5' methyl-2' deoxycytidine (5mdC), 5' hydroxy-methyl-2'-deoxycytidine (5hmdC) levels and global adenosine/thymidine ([dA]/[T]) ratio in bone marrow aspirates from twenty-one HR MDS patients, pre- and post-HMA treatment. Additionally, targeted methylation analysis was performed by interpretation of NGS-methylation (MeD-seq) data obtained from the same patient cohort.

RESULTS

LC/MS-MS analysis revealed a significant hypomethylation status in responders (Rs), already established at baseline and a trend for further DNA methylation reduction post-HMA treatment. Non-responders (NRs) reached statistical significance for DNA hypomethylation only post-HMA treatment. The 5hmdC epigenetic mark was approximately detected at 37.5-40% among NRs and Rs, implying the impairment of the natural active demethylation pathway, mediated by the ten-eleven (TET) 5mdC dioxygenases. R and NR subgroups displayed a [dA]/[T] ratio < 1 (0.727 - 0.633), supporting high frequences of 5mdC transition to thymidine. Response to treatment, according to whole genome MeD-seq data analysis, was associated with specific, scattered hypomethylated DMRs, rather than presenting a global effect across genome. MeD-seq analysis identified divergent epigenetic effects along chromosomes 7, 9, 12, 16, 18, 21, 22, X and Y. Within statistically significant selected chromosomal bins, genes encoding for proteins and non-coding RNAs with reversed methylation profiles between Rs and NRs, were highlighted.

CONCLUSIONS

Implementation of powerful analytical tools to identify the dynamic DNA methylation changes in HR MDS patients undergoing HMA therapy demonstrated that LC-MS/MS exerts high efficiency as a broad-based but rapid and cost-effective methodology (compared to MeD-seq) to decode different perspectives of the epigenetic background of HR MDS patients and possess discriminative efficacy of the response phenotype to HMA treatment.

Clonal hematopoiesis of indeterminate potential (CHIP): A potential contributor to lymphoma

Clonal hematopoiesis (CH) typically refers to the clonal expansion of hematopoietic stem cells (HSCs) due to genetic mutations, serving as the pathogenic basis for various diseases. Clonal hematopoiesis of indeterminate potential (CHIP) is a subtype of CH, emerging as a significant risk factor for myeloid malignancies and cardiovascular diseases, which has attracted increasing attention. However, recent research has unveiled previously overlooked links between CHIP and lymphoma. This paper reviews the relationship between CHIP and lymphoma, focusing on the role and mechanism of TET2 and DNMT3A-mediated CHIP in lymphoma from the perspective of laboratory research and clinical observation. Additionally, we explore the therapeutic implications of targeting CHIP genes and inflammatory pathways in lymphoma. Our findings underscore the multifaceted influence of CHIP on lymphoma development and provide a promising avenue for therapeutic interventions in CHIP mediated lymphoma.

Diagnosis of myelodysplastic syndromes: the classic and the novel

The myelodysplastic syndromes (MDS) are a heterogenous group of clonal bone marrow (BM) stem cell myeloid neoplasms, characterized by BM dysplasia, macrocytic anemia or cytopenia with a tendency for leukemic transformation. The suspicion of MDS is raised by a typical but not specific clinical picture and routine laboratory findings, but the gold standard for the diagnosis of MDS is still BM examination with the presence of uni-or multi-lineage dysplasia and blast percentage, together with exclusion of other reasons. Cytogenetics is also a part of the diagnostic process. Flow cytometry and genetics are helpful but are not always mandatory for the diagnosis of MDS. This review summarizes the current steps in the diagnostic approach for a patient suspected of having MDS. We also describe new concepts that use non-invasive diagnostic technologies, especially digital methods as well as peripheral blood genetics. The hope is that one day these will mature, be introduced into clinical practice, and perhaps in many cases even replace the invasive BM biopsy.

Genome sequencing in the management of myelodysplastic syndromes and related disorders

Myeloid neoplasms originate from the clonal proliferation of hematopoietic stem cells, which is driven by the acquisition of somatic genetic mutations. Within these disorders, myelodysplastic syndromes (MDS) are specifically characterized by morphological abnormalities (dysplasia) and impaired maturation of myeloid precursors (ineffective hematopoiesis), resulting in peripheral blood cytopenia. Several studies have advanced the field of MDS, with a few landmark papers leading to a paradigm shift, opening new avenues of research and enabling a molecular revolution. These seminal papers include the first description of the 5q- syndrome, the identification of somatic mutations of TET2 in myeloid neoplasms, the detection of common pathway mutations in the splicing machinery, and the discovery of clonal hematopoiesis. The somatic genomic landscape of MDS is now well defined. Genes that are recurrently mutated include epigenetic regulators, as well as genes of RNA splicing machinery, transcription regulation, DNA repair control, cohesin complex, and signal transduction. Furthermore, several disorders with a germline genetic predisposition to MDS have been identified, collectively accounting for up to 15% of all MDS cases. Genomic profiling can significantly improve the diagnostic approach to MDS, allowing the identification of distinct nosological entities such as SF3B1-mutant or TP53-mutant MDS. The Molecular International Prognostic Scoring System for MDS has already proven to be a valuable tool for individualized risk assessment and treatment decisions. In addition, the recently developed molecular taxonomy of MDS will likely facilitate the implementation of precision medicine approaches for these disorders. This will necessitate the establishment of specialized infrastructures within public health systems, involving close collaboration between healthcare institutions, academia, and the life-sciences industry.

The Ataxia-telangiectasia mutated (ATM) is the most important gene for repairing the DNA in Myelodysplastic Neoplasm

Myelodysplastic Neoplasm (MDS) is a cancer associated with aging, often leading to acute myeloid leukemia (AML). One of its hallmarks is hypermethylation, particularly in genes responsible for DNA repair. This study aimed to evaluate the methylation and mutation status of DNA repair genes (single-strand - XPA, XPC, XPG, CSA, CSB and double-strand - ATM, BRCA1, BRCA2, LIG4, RAD51) in MDS across three patient cohorts (Cohort A-56, Cohort B-100, Cohort C-76), using methods like pyrosequencing, real-time PCR, immunohistochemistry, and mutation screening. Results showed that XPA had higher methylation in low-risk MDS compared to high-risk MDS. For double-strand repair genes, ATM displayed higher methylation in patients who transformed to AML (p = 0.016). ATM gene expression was downregulated in MDS compared to controls (p = 0.042). When patients were classified according to the WHO 2022 guidelines, ATM expression progressively decreased from low-risk subtypes (e.g., Hypoplastic MDS) to high-risk MDS and AML. Patients who transformed to AML had a higher 5mC/5hmC ratio compared to those who didn't (p = 0.045). Additionally, poor cytogenetic risk patients had higher tissue methylation scores than those with good risk (p = 0.035). Analysis using the cBioPortal platform identified ATM as the most frequently mutated DNA repair gene, with various mutations, such as frameshift and missense, most of which were classified as oncogenic. The findings suggest that ATM is frequently silenced or downregulated in MDS due to methylation or mutations, contributing to the progression to AML. This highlights ATM's potential role in the disease's advancement and as a target for future therapeutic strategies.

Artificial intelligence-based Myelodysplastic Syndromes Score, 2022 classifications, and the Molecular International Prognostic Scoring System: a perfect match

Not available.

Role of Population Based Studies in Advancing our Knowledge of Myelodysplastic Syndromes

PURPOSE OF THE REVIEW

Myelodysplastic syndromes (MDS) are myeloid neoplasms characterized by high molecular and genomic heterogeneity. Accordingly, efforts in risk assessment and therapeutic intervention mostly target unique profiles that individualize specific MDS subtypes. In this review, we explored the contributions of population based studies accounting for MDS as a group.

RECENT FINDINGS

Large population based studies have been critical to define important details of our current knowledge of the disease. We summarized the most important population research contributions in MDS, focusing on its epidemiology, population risk factors, and relevant clinical associations. We discuss how these population data can provide vital insights to inform prevention measures, testing strategies, and treatment decisions. Population studies play an important role in guiding clinical and research efforts in MDS. Despite its complex molecular and genomic landscape, population data is integral to define the burden of disease, identify risk factors and clinical associations, and can help elucidate pathogenic mechanisms.

Untangling the loops of STAG2 mutations in myelodysplastic syndrome

Myelodysplastic syndrome (MDS) is a heterogeneous myeloid neoplasm that is hallmarked by the acquisition of genetic events that disrupt normal trilineage hematopoiesis and results in bone marrow dysfunction. Somatic genes involving transcriptional regulation, signal transduction, DNA methylation, and chromatin modification are often implicated in disease pathogenesis. The cohesin complex, composed of SMC1, SMC3, RAD21, and either STAG1 or STAG2, has been identified as a recurrent mutational target with STAG2 mutations accounting for more than half of all cohesin mutations in myeloid malignancies. In the last decade, STAG2 cohesin biology has been of great interest given its role in transcriptional activation, association with poorer prognosis, and lack of mutation-specific therapies. This review discusses the clinical landscape of cohesin mutant myeloid malignancies, particularly STAG2 mutant MDS, including molecular features of STAG2 mutations, clinical implications of cohesin mutant neoplasms, and the current understanding of the pathophysiological function of STAG2 mutations in MDS.

Can molecular patterns help to classify overlapping entities in myeloid neoplasms?

Myeloid neoplasms include myeloproliferative and myelodysplastic neoplasms and acute myeloid leukaemia. Historically, these diseases have been diagnosed based on clinicopathological features with sometimes arbitrary thresholds that have persisted even as molecular features were gradually incorporated into their classification. As such, although current diagnostic approaches can classify the majority of myeloid neoplasms accurately using a combination of molecular and clinicopathological features, some areas of overlap persist and occasionally pose diagnostic challenges. These include overlap across BCR::ABL1-negative myeloproliferative neoplasms; between clonal cytopenia of undetermined significance and myelodysplastic neoplasms; myelodysplastic/myeloproliferative neoplasms; and, detection of KIT mutations in myeloid neoplasms other than mastocytosis, raising the prospect of systemic mastocytosis. Molecular testing has become state of the art in the diagnostic work-up of myeloid neoplasms, and molecular patterns can inherently help to classify overlapping entities if considered within a framework of haematological presentations. For future development, molecular testing will likely include whole genome and transcriptome sequencing, and primarily molecular classifications of myeloid neoplasms have already been suggested. As such, genetically defined groups should still constitute the basis for our understanding of disease development from early onset to progression, while clinicopathological features could then be used to describe the stage of the disease rather than the specific type of myeloid neoplasm.

Significance of Somatic Mutation Profiling in CML Beyond BCR-ABL: A Retrospective Study of the Indian Population

Somatic mutation and fusion detection in acute myeloid leukemia to determine disease subtype and treatment regime is a common practice, but it's not yet employed in chronic myeloid leukemia (CML). CML is still monitored by routine quantitative determination of the BCR-ABL fusion transcript and treated with tyrosine kinase inhibitors (TKIs). Despite the availability of the three generations of TKIs, resistance and progression in CML pathogenesis suggest a strong role for somatic mutations. The present study aimed to identify the role of somatic mutation profiling in CML patients in disease management. 196 CML patient samples were used in this investigation, comprising 26 CML-BP, 8 CML-AP, and 162 CML-CP samples. Following cytogenetic analysis for confirmation, each sample was sequenced utilizing the Ion Torrent platform by a targeted panel. Of the 196 CML samples, 81 (41.33%) had 125 variations affecting 27 genes, while 115 (58.67%) harboured no mutations. The study revealed that ASXL1 (31.2%), ABL1 (14.4%), and TET2 (8.8%) were the most frequently altered genes. These genes are recognized indicators of CML disease. Few samples found with mutated GATA2, IDH1, NRAS, SETBP1, WT1, PHF6, KIT, etc. and fusions like RUNX1(5)-MECOM (2) and CBFB- MYH11 are indicative of disease progression. The outcome of this study suggests that mutational profiling of CML patients can help in the prognostication of disease. Based on the results of the study, the authors have also provided possible future risk stratification and diagnosis workflow for CML disease.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12288-024-01808-9.

Monitoring clonal burden as an alternative to blast count for myelodysplastic neoplasm treatment response

Accurate assessment of therapy response in myelodysplastic neoplasm (MDS) has been challenging. Directly monitoring mutational disease burden may be useful, but is not currently included in MDS response criteria, and the correlation of mutational burden and traditional response endpoints is not completely understood. Here, we used genome-wide and targeted next-generation sequencing (NGS) to monitor clonal and subclonal molecular disease burden in 452 samples from 32 patients prospectively treated in a clinical trial. Molecular responses were compared with International Working Group (IWG) 2006-defined response assessments. We found that myeloblast percentage consistently underestimates MDS molecular disease burden and that mutational clearance patterns for marrow complete remission (mCR), which depends on myeloblast assessment, was not different than stable disease or bone marrow aplasia, underscoring a major limitation of using mCR. In contrast, achieving a complete remission (CR) was associated with the highest level of mutation clearance and lowest residual mutational burden in higher-risk MDS patients. A targeted gene panel approach was inferior to genome-wide sequencing in defining subclones and their molecular responses but may be adequate for monitoring molecular disease burden when a targeted gene is present in the founding clone. Our work supports incorporating serial NGS-based monitoring into prospective MDS clinical trials.

Future directions in myelodysplastic syndromes/neoplasms and acute myeloid leukaemia classification: from blast counts to biology

Myelodysplastic syndromes/neoplasms (MDS) and acute myeloid leukaemia (AML) are neoplastic haematopoietic cell proliferations that are diagnosed and classified based on a combination of morphological, clinical and genetic features. Specifically, the percentage of myeloblasts in the blood and bone marrow is a key feature that has historically separated MDS from AML and, together with several other morphological parameters, defines distinct disease entities within MDS. Both MDS and AML have recurrent genetic abnormalities that are increasingly influencing their definitions and subclassification. For example, in 2022, two new MDS entities were recognised based on the presence of SF3B1 mutation or bi-allelic TP53 abnormalities. Genomic information is more objective and reproducible than morphological analyses, which are subject to interobserver variability and arbitrary numeric cut-offs. Nevertheless, the integration of genomic data with traditional morphological features in myeloid neoplasm classification has proved challenging by virtue of its sheer complexity; gene expression and methylation profiling also can provide information regarding disease pathogenesis, adding to the complexity. New machine-learning technologies have the potential to effectively integrate multiple diagnostic modalities and improve on historical classification systems. Going forward, the application of machine learning and advanced statistical methods to large patient cohorts can refine future classifications by advancing unbiased and robust previously unrecognised disease subgroups. Future classifications will probably incorporate these newer technologies and higher-level analyses that emphasise genomic disease entities over traditional morphologically defined entities, thus promoting more accurate diagnosis and patient risk stratification.

Somatic mutations and DNA methylation identify a subgroup of poor prognosis within lower-risk myelodysplastic syndromes

Lower risk (LR) myelodysplastic syndromes (MDS) are heterogeneous hematopoietic stem and progenitor disorders caused by the accumulation of somatic mutations in various genes including epigenetic regulators that may produce convergent DNA methylation patterns driving specific gene expression profiles. The integration of genomic, epigenomic, and transcriptomic profiling has the potential to spotlight distinct LR-MDS categories on the basis of pathophysiological mechanisms. We performed a comprehensive study of somatic mutations and DNA methylation in a large and clinically well-annotated cohort of treatment-naive patients with LR-MDS at diagnosis from the EUMDS registry (ClinicalTrials.gov.NCT00600860). Unsupervised clustering analyses identified six clusters based on genetic profiling that concentrate into four clusters on the basis of genome-wide methylation profiling with significant overlap between the two clustering modes. The four methylation clusters showed distinct clinical and genetic features and distinct methylation landscape. All clusters shared hypermethylated enhancers enriched in binding motifs for ETS and bZIP (C/EBP) transcription factor families, involved in the regulation of myeloid cell differentiation. By contrast, one cluster gathering patients with early leukemic evolution exhibited a specific pattern of hypermethylated promoters and, distinctly from other clusters, the upregulation of AP-1 complex members FOS/FOSL2 together with the absence of hypermethylation of their binding motif at target gene enhancers, which is of relevance for leukemic initiation. Among MDS patients with lower-risk IPSS-M, this cluster displayed a significantly inferior overall survival (p < 0.0001). Our study showed that genetic and DNA methylation features of LR-MDS at early stages may refine risk stratification, therefore offering the frame for a precocious therapeutic intervention.

Validation and improvement of the molecular international prognostic scoring system in Chinese patients with myelodysplastic syndromes

Various prognostic models have been proposed to improve the accuracy of prognostic assessment for Myelodysplastic syndromes (MDS). Recently, the Molecular International Prognostic Scoring System (IPSS-M) has been developed. Here, we validated the accuracy of IPSS-M in Chinese MDS patients, and proposed a prognostic model more suitable for Chinese patients. We analyzed the clinical, molecular and cytogenetic data of 798 primary MDS patients, and compared the accuracy of IPSS-R and IPSS-M in predicting overall survival (OS) and acute myeloid leukemia (AML) transformation. Using Cox proportional hazards model, we screened out 14 genes that had significant impacts on OS and AML progression. In our study, 44.86% of individuals were reclassified from IPSS-R to IPSS-M, of whom 64.80% were upstaged and 35.2% were downstaged. IPSS-M showed better performance than IPSS-R in predicting AML transformation (C-index: 0.84 vs. 0.81), but it was similar to IPSS-R in OS (C-index: 0.77 vs. 0.76). By combining age, mutational data and IPSS-R, we developed a new prognostic model more suitable for the Chinese patients (c-index was 0.81 for OS and 0.89 for AML transformation, respectively).

Hyperactivation of NF-κB signaling in splicing factor mutant myelodysplastic syndromes and therapeutic approaches

The transcription factor NF-κB plays a critical role in the control of innate and adaptive immunity and inflammation. Several recent studies have demonstrated that the mutation of different splicing factor genes, including SF3B1, SRSF2 and U2AF1, in myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) result in hyperactive NF-κB signaling through the aberrant splicing of different target genes. The presence of U2AF1 and SF3B1 mutations in the bone marrow cells of MDS and AML patients induces oncogenic isoforms of the target gene IRAK4, leading to hyperactivation of NF-κB signaling and an increase in the fitness of leukemic stem and progenitor cells (LSPCs). The potent IRAK4 inhibitor CA-4948 has shown efficacy in both pre-clinical studies and MDS clinical trials, with splicing factor mutant patients showing the higher response rates. Emerging data has, however, revealed that co-targeting of IRAK4 and its paralog IRAK1 is required to maximally suppress LSPC function in vitro and in vivo by inducing cellular differentiation. These findings provide a link between the presence of the commonly mutated splicing factor genes and activation of innate immune signaling pathways in myeloid malignancies and have important implications for targeted therapy in these disorders.

Leukemia-mutated proteins PHF6 and PHIP form a chromatin complex that represses acute myeloid leukemia stemness

Myeloid leukemias are heterogeneous cancers with diverse mutations, sometimes in genes with unclear roles and unknown functional partners. PHF6 and PHIP are two poorly-understood chromatin-binding proteins recurrently mutated in acute myeloid leukemia (AML). PHF6 mutations are associated with poorer outcomes, while PHIP was recently identified as the most common selective mutation in Black patients in AML. Here, we show that PHF6 is a transcriptional repressor that suppresses a stemness gene network, and that PHF6 missense mutations, classified by current clinical algorithms as variants of unknown significance, produce unstable or non-functional protein. We present multiple lines of evidence converging on a critical mechanistic connection between PHF6 and PHIP. We show that PHIP loss phenocopies PHF6 loss, and that PHF6 requires PHIP to occupy chromatin and exert its downstream transcriptional program. Our work unifies PHF6 and PHIP, two disparate leukemia-mutated proteins, into a common functional complex that suppresses AML stemness.

Age-related clonal hematopoiesis and HIV infection are associated with geriatric outcomes: The ARCHIVE study

While HIV infection and clonal hematopoiesis (CH) have been linked with inflammatory dysregulation and an increased risk of aging-related comorbidities, their relationship with clinical geriatric syndromes has not been well defined. In the Age-related Clonal Haematopoiesis in an HIV Evaluation Cohort (ARCHIVE) study (NCT04641013), we measure associations between HIV and CH and geriatric syndromes. Of 345 participants (176 with HIV and 169 without HIV), 23% had at least one mutation associated with CH: 27% with HIV and 18% without HIV (p = 0.048). In adjusted analyses, HIV infection is independently associated with increased phenotypic age acceleration (coefficient 1.73, 95% confidence interval [CI] 0.3, 3.16) and CH is independently associated with being frail (vs. pre-frail/robust; odds ratio 2.38, 95% CI 1.01, 5.67) and with having reduced quality of life (coefficient -2.18, 95% CI -3.92, -0.44). Our findings suggest that HIV is associated with increased biological age and that CH may be used as a biomarker for adverse geriatric outcomes.

RAS-mutant leukaemia stem cells drive clinical resistance to venetoclax

Cancer driver mutations often show distinct temporal acquisition patterns, but the biological basis for this, if any, remains unknown. RAS mutations occur invariably late in the course of acute myeloid leukaemia, upon progression or relapsed/refractory disease1-6. Here, by using human leukaemogenesis models, we first show that RAS mutations are obligatory late events that need to succeed earlier cooperating mutations. We provide the mechanistic explanation for this in a requirement for mutant RAS to specifically transform committed progenitors of the myelomonocytic lineage (granulocyte-monocyte progenitors) harbouring previously acquired driver mutations, showing that advanced leukaemic clones can originate from a different cell type in the haematopoietic hierarchy than ancestral clones. Furthermore, we demonstrate that RAS-mutant leukaemia stem cells (LSCs) give rise to monocytic disease, as observed frequently in patients with poor responses to treatment with the BCL2 inhibitor venetoclax. We show that this is because RAS-mutant LSCs, in contrast to RAS-wild-type LSCs, have altered BCL2 family gene expression and are resistant to venetoclax, driving clinical resistance and relapse with monocytic features. Our findings demonstrate that a specific genetic driver shapes the non-genetic cellular hierarchy of acute myeloid leukaemia by imposing a specific LSC target cell restriction and critically affects therapeutic outcomes in patients.

Contemporary Approach to the Diagnosis and Classification of Myelodysplastic Neoplasms/Syndromes-Recommendations From the International Consortium for Myelodysplastic Neoplasms/Syndromes (MDS [icMDS])

Myelodysplastic neoplasms/syndromes (MDS) are a heterogeneous group of biologically distinct entities characterized by variable degrees of ineffective hematopoiesis. Recently, 2 classification systems (the 5th edition of the World Health Organization Classification of Haematolymphoid tTumours and the International Consensus Classification) further subcharacterized MDS into morphologically and genetically defined groups. Accurate diagnosis and subclassification of MDS require a multistep systemic approach. The International Consortium for MDS (icMDS) summarizes a contemporary, practical, and multimodal approach to MDS diagnosis and classification.

Next generation sequencing reveals the mutation landscape of Chinese MDS patients and the association between mutations and AML transformations

BACKGROUND/OBJECTIVE

Approximately 30% of patients with MDS eventually develop to acute myeloid leukemia (AML). Our study aimed to investigate the mutation landscape of Chinese MDS patients and identify the mutated genes which are closely implicated in the transformation of MDS to AML.

METHODS

In total, 412 sequencing data collected from 313 patients were used for analysis. Mutation frequencies between different groups were compared by Fisher's exact. A predictive model for risk of transformation/death of newly diagnosed patients was constructed by logistic regression.

RESULTS

The most frequently mutated genes in newly diagnosed patients were TP53, TET2, RUNX1, PIGA, and BCOR and mutations of RUNX1, TP53, BCORL1, TET2, and BCOR genes were more common in the treated MDS patients. Besides, we found that the mutation frequencies of IDH2, TET2, and EZH2 were significantly higher in MDS patients aged over 60 years. Moreover, two mutation sites, KRASG12A and TP53H140N were detected only at transformation in one patient, while not detected at diagnosis. In addition, the mutation frequencies of EZH2 V704F and TET2 I1873N were stable from diagnosis to transformation in two patients. Finally, we constructed a predictive model for risk of transformation/death of newly diagnosed patients combing detected data of 10 genes and the number of to leukocyte, with a sensitivity of 63.3% and a specificity of 84.6% in distinguishing individuals with and without risk of transformation/death.

CONCLUSION

In summary, our study found several mutations associated with the transformation from MDS to AML, and constructed a predictive model for risk of transformation/death of MDS patients.

Predicting which subsets of patients with myelodysplastic neoplasms are more likely to progress to overt chronic myelomonocytic leukemia

The boundary between myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML) has been revised in the latest World Health Organization classification of myeloid malignancies. These changes were motivated by the description of a subgroup of MDS patients identified as oligomonocytic chronic myelomonocytic leukemia (OM-CMML) at risk of evolving into overt CMML. Various studies will be reviewed describing the clinical and biological features of MDS patients evolving to CMML. The efforts to discover biomarkers enabling the identification of these patients at the time of MDS diagnosis will be discussed. Finally, the molecular landscape of these patients will be presented with a specific focus on the biallelic inactivation of TET2 in light of its functional impact on hematopoietic stem cells, granule-monocytic differentiation, and its tight interplay with inflammation.

RNA splicing as a therapeutic target in myelodysplastic syndromes

Myelodysplastic syndromes (MDS) represent a heterogeneous group of hematological disorders and are more commonly found in people over the age of 60. MDS patients exhibit peripheral blood cytopenias and carry an increased risk of disease progression to acute myeloid leukemia (AML). Splicing factor mutations (including genes SF3B1, SRSF2, U2AF1, and ZRSR2) are early events identified in more than 50% of MDS cases. These mutations cause aberrant pre-mRNA splicing and impact MDS pathophysiology. Emerging evidence shows that splicing factor-mutant cells are more sensitive to perturbations targeting the spliceosome, aberrantly spliced genes and/or their regulated molecular pathways. This review summarizes current therapeutic strategies and ongoing efforts targeting splicing factor mutations for the treatment of MDS.

Successful treatment of low-risk myelodysplastic syndrome-related anemia in patients with chronic kidney disease with daprodustat: A report of two cases

Anemia is a major clinical manifestation seen in myelodysplastic syndromes (MDS). Treatment options for anemia in low-risk MDS are limited. Especially, oral medication which is uniformly effective for anemia in low-risk MDS is required. Hypoxia-inducible factor (HIF) prolyl hydroxylase (HIF-PH) inhibitors, such as daprodustat, are oral tablets effective for renal anemia. Pharmacological restoration of HIF activity by HIF-PH inhibitors may be beneficial for MDS-related anemia as well. Yet, their efficacy and safety against low-risk MDS are unclear. Here, we report two cases of low-risk MDS complicated with chronic kidney disease whose anemia responded to daprodustat treatment.

Clonal hematopoiesis impacts frailty in newly diagnosed multiple myeloma patients: a retrospective multicenter analysis

Somatic mutations of hematopoietic cells in the peripheral blood of normal individuals refer to clonal hematopoiesis of indeterminate potential (CHIP), which is associated with a 0.5-1% risk of progression to hematological malignancies and cardiovascular diseases. CHIP has also been reported in Multiple Myeloma (MM) patients, but its biological relevance remains to be elucidated. In this study, high-depth targeted sequencing of peripheral blood from 76 NDMM patients revealed CHIP in 46% of them, with a variant allele frequency (VAF) ranging from ~ 1 to 34%. The most frequently mutated gene was DNMT3A, followed by TET2. More aggressive disease features were observed among CHIP carriers, who also exhibited higher proportion of high-risk stages (ISS and R-ISS 3) compared to controls. Longitudinal analyses at diagnosis and during follow-up showed a slight increase of VAFs (p = 0.058) for epigenetic (DNMT3A, TET2, and ASXL1) and DNA repair genes (TP53; p = 0.0123). A more stable frequency was observed among other genes, suggesting different temporal dynamics of CH clones. Adverse clinical outcomes, in term of overall and progression-free survivals, were observed in CHIP carriers. These patients also exhibited weakened immune T-cells and enhanced frailty, predicting greater toxicity and consequently shorter event-free survival. Finally, correlation analysis identified platelets count as biomarker for higher VAF among CHIP carriers, regardless of the specific variant. Overall, our study highlights specific biological and clinical features, paving the way for the development of tailored strategies for MM patients carrying CHIP.

Detection of decreased granules in neutrophils by automated hematology analyzers XR-1000 and UniCel DxH 800

OBJECTIVE

This study aimed to investigate the utility of neutrophil-related cell population data obtained by automated hematology analyzers in assessing myelodysplastic syndrome cases with decreased granules in neutrophils.

METHODS

A total of 108 subjects were classified into normal granule (n = 35), hypogranulation (n = 37), or hypergranulation (n = 36) groups. Neutrophil cell area and granule area were measured by ImageJ. All samples were analyzed on the XR-1000 and UniCel DxH 800, and neutrophil-related parameters were compared among the 3 groups.

RESULTS

Neutrophil cell area and the ratio of the granular area showed significant differences among the 3 groups; they were the highest in the hypergranulation group and lowest in the hypogranulation group. XR-1000 data showed significant differences in NE-SFL and NE-FSC among the 3 groups (P < .0001). NE-SFL and NE-FSC discriminated most accurately hypogranulation group against other groups. UniCel DxH 800 data showed significant differences in MN-V-NE, MN-MALS-N, MN-UMALS-NE, SD-UMALS-NE (P <.01), MN-LMALS-NE, and SD-LMALS-NE (P <.05) among the 3 groups. The combination of SD-V-NE and SD-LMALS-NE discriminated most accurately the hypogranulation group against the other groups.

CONCLUSION

NE-SFL and NE-FSC and the combination of SD-V-NE and SD-LMALS-NE are useful in detecting cases with decreased granules in neutrophils.

Aberrant pre-mRNA processing in cancer

Dysregulation of the flow of information from genomic DNA to RNA to protein occurs within all cancer types. In this review, we described the current state of understanding of how RNA processing is dysregulated in cancer with a focus on mutations in the RNA splicing factor machinery that are highly prevalent in hematologic malignancies. We discuss the downstream effects of these mutations highlighting both individual genes as well as common pathways that they perturb. We highlight examples of how alterations in RNA processing have been harnessed for therapeutic intent as well as to promote the selective toxicity of cancer cells.

Therapy-Related Myeloid Neoplasms: Complex Interactions among Cytotoxic Therapies, Genetic Factors, and Aberrant Microenvironment

Therapy-related myeloid neoplasm (t-MN), characterized by its association with prior exposure to cytotoxic therapy, remains poorly understood and is a major impediment to long-term survival even in the era of novel targeted therapies due to its aggressive nature and treatment resistance. Previously, cytotoxic therapy-induced genomic changes in hematopoietic stem cells were considered sine qua non in pathogenesis; however, recent research demonstrates a complex interaction between acquired and hereditary genetic predispositions, along with a profoundly senescent bone marrow (BM) microenvironment. We review emerging data on t-MN risk factors and explore the intricate interplay among clonal hematopoiesis, genetic predisposition, and the abnormal BM microenvironment. Significance: t-MN represents a poorly understood blood cancer with extremely poor survival and no effective therapies. We provide a comprehensive review of recent preclinical research highlighting complex interaction among emerging therapies, hereditary and acquired genetic factors, and BM microenvironment. Understanding the risk factors associated with t-MN is crucial for clinicians, molecular pathologists, and cancer biologists to anticipate and potentially reduce its incidence in the future. Moreover, better understanding of the molecular pathogenesis of t-MN may enable preemptive screening and even intervention in high-risk patients.

Targeted therapies for myelodysplastic syndromes/neoplasms (MDS): current landscape and future directions

INTRODUCTION

Myelodysplastic syndromes/neoplasms (MDS) are a heterogeneous group of hematologic malignancies that are stratified into high-risk (HR-MDS) and low-risk (LR-MDS) categories. Until recently, LR-MDS has been typically managed by supportive measures and erythropoiesis-stimulating agents (ESAs); whereas management of HR-MDS typically included hypomethylating agents and allogeneic hematopoietic stem cell transplant. However, the limited rates and durations of response observed with these interventions prompted the search for targeted therapies to improve the outcomes among patients with MDS.

AREAS COVERED

Here, we review the current landscape of targeted therapies in MDS. These include pyruvate kinase and hypoxia-inducible factor (HIF) activators; TGF-beta, telomerase, BCL2 and isocitrate dehydrogenase (IDH) inhibitors; as well as novel approaches targeting inflammation, pyroptosis, immune evasion, and RNA splicing machinery.

EXPERT OPINION

This review highlights the progress and challenges in MDS treatment. Despite some promising results, many therapies remain in early development or have faced setbacks, emphasizing the need for a more comprehensive understanding of the disease's pathobiology. Continued research into targeted therapies, homogenous clinical trial designs, as well as increased incorporation of molecular prognostic tools and artificial intelligence into trial design are essential for developing effective treatments for MDS and improving patient outcomes.

Prognostic mutations identified by whole-exome sequencing and validation of the Molecular International Prognostic Scoring System in myelodysplastic syndromes after allogeneic haematopoietic stem cell transplantation

In this study, we used the whole-exome sequencing (WES) approach to obtain genomic profiles from 92 marrow samples of myelodysplastic syndrome (MDS) patients before haematopoietic stem cell transplantation. We identified 129 mutations in 45 driver genes. Fifty-five patients (59.8%) carried at least 1 driver mutation. The splicing factor U2AF1 was the most frequently mutated in the cohort (21 cases, 23%), followed by BCOR (9 cases, 10%), ASXL1 (8 cases, 9%), TET2 (6 cases, 7%), NPM1 (5 cases, 5%), RUNX1 (5 cases, 5%), and SETBP1 (5 cases, 5%). WES also identified 49 possible oncogenic variants in six genes (PIEZO1, LOXHD1, MYH13, DNAH5, DPH1, and USH2A) that were associated with overall survival (OS) or relapse-free survival (RFS) in MDS after transplantation. Multivariate analysis showed mutations in DNAH5 and USH2A to be independent risk factors for OS. Mutations in DNAH5 and LOXHD1 were risk factors for worse RFS. The Molecular International Prognostic Scoring System retained its independent prognostic significance for RFS after multivariate analysis.

Incorporation mutational profile might reduce the importance of blast count in prognostication of low-risk myelodysplastic syndromes

Addition of molecular data to prognostic models has improved risk stratification of myelodysplastic neoplasms (MDS). However, the role of molecular lesions, particularly in the group of low-risk disease (LR-MDS), is uncertain. We evaluated a set of 227 patients with LR-MDS. Overall survival (OS) and probability of leukaemic progression were the main endpoints. RUNX1 was associated with lower OS and SF3B1 with a reduced risk of death (HR: 1.7, 95% CI, 1.1-2.9; p = 0.05; and HR: 0.23, 95% CI 0.1-0.5; p < 0.001; respectively). TP53 and RUNX1 mutations were predictive covariates for the probability of leukaemic progression (p < 0.001). Blast percentage, neither analysed as categorical (<5% vs. 5%-9%; HR: 1.3, 95% CI, 0.7-2.9; p = 0.2) nor as a continuous variable (HR: 1.07, 95% CI, 0.9-1.1; p = 0.07), had impact on survival or probability of progression (sHR: 1.05, 95% CI, 0.9-1.1; p = 0.2). These results retained statistical significance when analysis was restricted to the definition of LR-MDS according to the WHO 2022 and ICC classifications (<5% blasts). Thus, with the incorporation of molecular data, blast percentage happens to lose clinical significance both for survival and probability of progression in the group of patients with LR-MDS.

Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes

The WHO and International Consensus Classification 2022 classifications of myelodysplastic syndromes enhance diagnostic precision and refine decision-making processes in these diseases. However, some discrepancies still exist and potentially cause inconsistency in their adoption in a clinical setting. We adopted a data-driven approach to provide a harmonisation between these two classification systems. We investigated the importance of genomic features and their effect on the cluster assignment process to define harmonised entity labels. A panel of expert haematologists, haematopathologists, and data scientists who are members of the International Consortium for Myelodysplastic Syndromes was formed and a modified Delphi consensus process was adopted to harmonise morphologically defined categories without a distinct genomic profile. The panel held regular online meetings and participated in a two-round survey using an online voting tool. We identified nine clusters with distinct genomic features. The cluster of highest hierarchical importance was characterised by biallelic TP53 inactivation. Cluster assignment was irrespective of blast count. Individuals with monoallelic TP53 inactivation were assigned to other clusters. Hierarchically, the second most important group included myelodysplastic syndromes with del(5q). Isolated del(5q) and less than 5% of blast cells in the bone marrow were the most relevant label-defining features. The third most important cluster included myelodysplastic syndromes with mutated SF3B1. The absence of isolated del(5q), del(7q)/-7, abn3q26.2, complex karyotype, RUNX1 mutations, or biallelic TP53 were the basis for a harmonised label of this category. Morphologically defined myelodysplastic syndrome entities showed large genomic heterogeneity that was not efficiently captured by single-lineage versus multilineage dysplasia, marrow blasts, hypocellularity, or fibrosis. We investigated the biological continuum between myelodysplastic syndromes with more than 10% bone marrow blasts and acute myeloid leukaemia, and found only a partial overlap in genetic features. After the survey, myelodysplastic syndromes with low blasts (ie, less than 5%) and myelodysplastic syndromes with increased blasts (ie, 5% or more) were recognised as disease entities. Our data-driven approach can efficiently harmonise current classifications of myelodysplastic syndromes and provide a reference for patient management in a real-world setting.

Distinct mutation features and its clinical significance in myelodysplastic syndromes with normal karyotype

Myelodysplastic syndromes (MDS) is a highly heterogeneous myeloid neoplastic disease, which needs personalized evaluation and therapy. To analyze the features and significance of gene mutations for MDS patients with normal karyotype (NK) at diagnosis, targeted sequencing was conducted on 616 MDS patients with NK, alongside 457 MDS cases with abnormal karyotype (AK). The results showed that the incidence of somatic mutation reached 70.3% and 83.8% in the NK and AK group, respectively. Initial mutation including ASXL1, DNMT3A and TET2 were common in NK group, which is the same as AK group. Some karyotype-associated gene mutations, such as TP53 and U2AF1, were relatively rare in NK group. Moreover, 34 out of 91 samples who progressed to acute myeloid leukemia (AML) underwent repeat sequencing during follow-up. 25 cases were checked out with newly emerged mutations. The AML-associated genetic alterations mainly involved with active signaling and transcription factors. In patients with NK, serial targeted sequencing was employed for minimal residual disease (MRD) monitoring, indicating the efficacy and relapse of the patients. In summary, MDS with NK showed distinct mutation features from those with AK. High-frequency gene mutations together with the mutational evolution suggested the diagnostic and monitoring significance of next generation sequencing for NK-MDS.

Age-associated myeloid malignancies - the role of STAT3 and STAT5 in myelodysplastic syndrome and acute myeloid leukemia

In the last few decades, the increasing human life expectancy has led to the inflation of the elderly population and consequently the escalation of age-related disorders. Biological aging has been associated with the accumulation of somatic mutations in the Hematopoietic Stem Cell (HSC) compartment, providing a fitness advantage to the HSCs leading to clonal hematopoiesis, that includes non-malignant and malignant conditions (i.e. Clonal Hematopoiesis of Indeterminate Potential, Myelodysplastic Syndrome and Acute Myeloid Leukemia). The Janus Kinase-Signal Transducer and Activator of Transcription (JAK-STAT) pathway is a key player in both normal and malignant hematopoiesis. STATs, particularly STAT3 and STAT5, are greatly implicated in normal hematopoiesis, immunity, inflammation, leukemia, and aging. Here, the pleiotropic functions of JAK-STAT pathway in age-associated hematopoietic defects and of STAT3 and STAT5 in normal hematopoiesis, leukemia, and inflammaging are reviewed. Even though great progress has been made in deciphering the role of STATs, further research is required to provide a deeper understanding of the molecular mechanisms of leukemogenesis, as well as novel biomarkers and therapeutic targets for improved management of age-related disorders.

Immunophenotyping myelodysplastic neoplasms: the role of flow cytometry in the molecular classification era

The unique heterogenous landscape of myelodysplastic syndromes/neoplasms (MDS) has resulted in continuous redefinition of disease sub-entities, in view of the novel translational research data that have clarified several areas of the pathogenesis and the progression of the disease. The new international classifications (WHO 2022, ICC 2022) have incorporated genomic data defining phenotypical alterations, that guide clinical management of specific patient subgroups. On the other hand, for over a decade, multiparameter flow cytometry (MFC) has proven its value as a complementary diagnostic tool for these diseases and although it has never been established as a mandatory test for the baseline evaluation of MDS patients in international guidelines, it is almost universally adopted in everyday clinical practice for the assessment of suspected cytopenias through simplified scoring systems or elaborate analytical strategies for the detection of immunophenotypical dysplastic features in every hematopoietic cell lineage in the bone marrow (BM). In this review, we explore the clinically meaningful interplay of MFC data and genetic profiles of MDS patients, to reveal the currently existing and the potential future role of each methodology for routine clinical practice, and the benefit of the patients. We reviewed the existing knowledge and recent advances in the field and discuss how an integrated approach could lead to patient re-stratification and guide personalized management.

Alternative Splicing: A Potential Therapeutic Target in Hematological Malignancies

Leukemia represents the most prevalent malignancy in children, constituting 30% of childhood cancer cases, with acute lymphoblastic leukemia (ALL) being particularly heterogeneous. This paper explores the role of alternative splicing in leukemia, highlighting its significance in cancer development and progression. Aberrant splicing is often driven by mutations in splicing-factor genes, which can lead to the production of variant proteins that contribute to oncogenesis. The spliceosome, a complex of small nuclear RNAs and proteins, facilitates RNA splicing, a process critical for generating diverse mRNA and protein products from single genes. Mutations in splicing factors, such as U2AF1, SF3B1, SRSF2, ZRSR2, and HNRNPH1, are frequently observed across various hematological malignancies and are associated with poor prognosis and treatment resistance. This research underscores the necessity of understanding the mechanisms of RNA splicing dysregulation in order to develop targeted therapies to correct these aberrant processes, thereby improving outcomes for patients with leukemia and related disorders.

Influence of TP53 gene mutations and their allelic status in myelodysplastic syndromes with isolated 5q deletion

ABSTRACT

Mutations in the TP53 gene, particularly multihit alterations, have been associated with unfavorable clinical features and prognosis in patients diagnosed with myelodysplastic syndrome (MDS). Despite this, the role of TP53 gene aberrations in MDS with isolated deletion of chromosome 5 [MDS-del(5q)] remains unclear. This study aimed to assess the impact of TP53 gene mutations and their allelic state in patients with MDS-del(5q). To that end, a comprehensive analysis of TP53 abnormalities, examining both TP53 mutations and allelic imbalances, in 682 patients diagnosed with MDS-del(5q) was conducted. Twenty-four percent of TP53-mutated patients exhibited multihit alterations, whereas the remaining patients displayed monoallelic mutations. TP53-multihit alterations were predictive of an increased risk of leukemic transformation. The impact of monoallelic alterations was dependent on the variant allele frequency (VAF); patients with TP53-monoallelic mutations and VAF <20% exhibited behavior similar to TP53 wild type, and those with TP53-monoallelic mutations and VAF ≥20% presented outcomes equivalent to TP53-multihit patients. This study underscores the importance of considering TP53 allelic state and VAF in the risk stratification and treatment decision-making process for patients with MDS-del(5q).

Comprehensive analysis of a necroptosis-associated diagnostic signature for myelodysplastic syndromes based on single-cell RNA-seq and bulk RNA-seq

BACKGROUND

Myelodysplastic syndromes (MDS) are heterogeneous and clonal hematological disorders. The role and mechanism of necroptosis in MDS remain poorly understood.

METHODS

mRNA expression profiles and single-cell RNA-sequencing (scRNA-seq) data were sourced from the GEO database. ScRNA-seq data were processed using the "Seurat" package. After cell annotation, necroptosis-related scores (NRscores) for each cell were calculated using the "UCell" package. Differentially expressed genes (DEGs) and their associated biological functions in NRscore-related cell populations were identified. Additionally, DEGs and necroptosis-related genes (DE-NRGs) between MDS patients and healthy controls were identified. Consensus clustering was employed to classify MDS patients into distinct subclusters based on DE-NRGs. The biological functions and immune characteristics of these classifications were analyzed. Prognostic gene signatures were determined using LASSO and SVM-RFE analyses, and a nomogram was constructed based on the prognostic gene signature.

RESULTS

A total of 12 cell types were identified in MDS and healthy controls. NRscore was found to be elevated in monocytes and common lymphoid precursors (CLPs). Enrichment analysis revealed that monocytes and CLPs with high NRscore were associated with mitochondria-related and immune-related pathways. Eleven DEGs in monocytes and CLPs between MDS patients and healthy controls were identified. Additionally, 13 DE-NRGs were identified from 951 DEGs between MDS and healthy controls. MDS patients were classified into two distinct subclusters based on these 13 DE-NRGs, revealing several immune-related processes and signaling pathways. Differences in immune subpopulations between the two subclusters were observed. A necroptosis-related diagnostic gene signature (IRF9, PLA2G4A, MLKL, BAX, JAK2, and STAT3) was identified as predictive of MDS prevalence.

CONCLUSION

Necroptosis plays a role in MDS progression by inducing inflammation. A novel necroptotic gene signature has been developed to distinguish and diagnose MDS at early stages of the disease.

Prognostic impact of next-generation sequencing on myelodysplastic syndrome: A single-center experience

Myelodysplastic syndromes (MDS) are clinically heterogeneous disorders characterized by peripheral blood cytopenias, poor differentiation, clonal hematopoiesis, and increased risk of developing acute myeloid leukemia (AML). While somatic mutations do not currently feature in prognostic scoring systems, they may impact the clinical phenotype. In recent years, next-generation sequencing (NGS) has enabled the opportunity to identify an increasing number of genetic abnormalities, including recurrent modifications in the TP53, DNMT3A, NRAS, NPM1, RUNX1, and FLT3 genes. Bone marrow aspirate samples of 56 patients with MDS were investigated for mutations using NGS. We compared the relationship between gene mutation status and laboratory characteristics, such as certain cytopenias, the revised international prognostic scoring system, MDS subtypes, karyotypes, AML development, and overall survival. Twenty-one genes were found to have gene mutations, including ASXL1, TET2, SRSF2, EZH2, CSF3R, NRAS, ETV6, SETBP1, RUNX1, DDX41, U2AF1, JAK2, FLT3ITD, SF3B1, DNAMT3A, PHF6, TP53, CEBPA, CBL, IDH2, and GATA2. At least one point mutation occurred in 64.2% of all patients, including 58.3% of those with normal cytogenetics. Thrombocytopenia (P = .016), anemia (P = .018), decreased overall survival (P = .017), and increased AML transformation (P = .023) have been revealed to be linked to non-SF3B1 mutations. MDS are frequently associated with somatic point mutations. According to early findings, NGS panels are extremely effective instruments that provide an entirely new viewpoint on the disease for particular individuals. Future prognostications will depend more on NGS because those who exhibit normal cytogenetics may additionally have gene mutations.

Molecular taxonomy of myelodysplastic syndromes and its clinical implications

ABSTRACT

Myelodysplastic syndromes (MDS) are clonal hematologic disorders characterized by morphologic abnormalities of myeloid cells and peripheral cytopenias. Although genetic abnormalities underlie the pathogenesis of these disorders and their heterogeneity, current classifications of MDS rely predominantly on morphology. We performed genomic profiling of 3233 patients with MDS or related disorders to delineate molecular subtypes and define their clinical implications. Gene mutations, copy-number alterations, and copy-neutral loss of heterozygosity were derived from targeted sequencing of a 152-gene panel, with abnormalities identified in 91%, 43%, and 11% of patients, respectively. We characterized 16 molecular groups, encompassing 86% of patients, using information from 21 genes, 6 cytogenetic events, and loss of heterozygosity at the TP53 and TET2 loci. Two residual groups defined by negative findings (molecularly not otherwise specified, absence of recurrent drivers) comprised 14% of patients. The groups varied in size from 0.5% to 14% of patients and were associated with distinct clinical phenotypes and outcomes. The median bone marrow (BM) blast percentage across groups ranged from 1.5% to 10%, and the median overall survival ranged from 0.9 to 8.2 years. We validated 5 well-characterized entities, added further evidence to support 3 previously reported subsets, and described 8 novel groups. The prognostic influence of BM blasts depended on the genetic subtypes. Within genetic subgroups, therapy-related MDS and myelodysplastic/myeloproliferative neoplasms had comparable clinical and outcome profiles to primary MDS. In conclusion, genetically-derived subgroups of MDS are clinically relevant and might inform future classification schemas and translational therapeutic research.

Cancer-associated SF3B1-K700E mutation controls immune responses by regulating Treg function via aberrant Anapc13 splicing

Recurrent somatic mutations in spliceosome factor 3b subunit 1 (SF3B1) are identified in hematopoietic malignancies, with SF3B1-K700E being the most common one. Here, we show that regulatory T cell (Treg)-specific expression of SF3B1-K700E (Sf3b1K700Efl/+/Foxp3YFP-Cre) results in spontaneous autoimmune phenotypes. CD4+ T cells from Sf3b1K700Efl/+/Foxp3YFP-Cre mice display defective Treg differentiation and inhibitory function, which is demonstrated by failed prevention of adoptive transfer colitis by Sf3b1K700Efl/+/Foxp3YFP-Cre Tregs. Mechanically, SF3B1-K700E induces an aberrant splicing event that results in reduced expression of a cell proliferation regulator Anapc13 due to the insertion of a 231-base pair DNA fragment to the 5' untranslated region. Forced expression of the Anapc13 gene restores the differentiation and ability of Sf3b1K700Efl/+/Foxp3YFP-Cre Tregs to prevent adoptive transfer colitis. In addition, acute myeloid leukemia grows faster in aged, but not young, Sf3b1K700Efl/+/Foxp3YFP-Cre mice compared to Foxp3YFP-Cre mice. Our results highlight the impact of cancer-associated SF3B1 mutation on immune responses, which affect cancer development.