Citations

ABSTRACT Myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) are clonal myeloid neoplasms shaped by genetic lesions and immune dysregulation, both of which contribute to disease progression and poor outcomes. Existing prognostic systems, such as IPSS‐R and IPSS‐M, do not incorporate immune alterations. We assessed the biological and clinical relevance of an immune dysfunction signature (IDS) across multi‐center MDS and CMML cohorts. IDS scores, derived from bulk transcriptomic data, were significantly associated with inferior leukemia‐free and overall survival. In multivariable analyses, IDS retained independent prognostic value alongside IPSS‐R, IPSS‐M, and bi‐allelic TP53 inactivation. Incorporation of IDS into existing models improved prognostic discrimination and time‐dependent predictive accuracy. Longitudinal analyses revealed that rising IDS scores paralleled disease progression and acute transformation, whereas declining scores were observed in remission. Biologically, IDS‐high cases demonstrated reduced cytotoxic T‐cell activity, expansion of regulatory T cells, enrichment of primitive progenitor signals, and increased expression of checkpoint pathway genes. These findings were validated across multiple independent MDS cohorts and consistently reproduced in CMML, where IDS also stratified risk and tracked disease evolution. Finally, integration with drug response signatures from the BeatAMLv2 cohort suggested potential therapeutic vulnerability of IDS‐high cases to multikinase and NF‐κB pathway inhibitors. These results establish IDS as a robust and dynamic biomarker in MDS and CMML, with applications in refined risk stratification, longitudinal disease monitoring, and guiding personalized therapeutic strategies targeting immune dysfunction. Trial Registration: #201709072RINC, #202109078RINB, #202207050RINB

Abstract While missense somatic mutations in the serine/arginine rich splicing factor 2 (SRSF2) occur early in the clonal development of myeloid neoplasms, they are uniquely enriched in chronic myelomonocytic leukemia (CMML), an MDS/MPN overlap neoplasm, where their estimated prevalence is ∼50%. Short-read RNA-sequencing experiments have demonstrated that missense alterations of the proline 95 residue hotspot (SRSF2P95) globally dysregulate exon inclusion, though the full transcript structures induced by such alternative splicing events remain uncharacterized. Given the striking enrichment of SRSF2 mutations in CMML, we hypothesized that there exist unique splicing alterations contributing to the biology of this disease, and sought to profile the landscape of alternative transcription induced by SRSF2 mutations in CMML using long-read RNA-Seq. We conducted bulk long-read RNA-Seq on bone marrow mononuclear cells from 5 CMML patients with SRSF2P95H (n=3) and SRSF2P95L (n=2) mutations, with VAFs ranging 20-48%, along with 5 CMML splicing factor wildtype patients. Libraries were prepared with the Pacbio Kinnex full-length RNA kit and sequenced on a Revio SPRQ sequencer. Reads were processed and aligned using the IsoSeq pipeline, and isoform collapsing, quality control, reference comparison, and quantification were performed with IsoQuant and SQANTI3. Differential transcript and gene expression was assessed with DESeq2, while differential transcript usage was assessed with the DRIM-Seq and stageR packages. After long-read collapsing and quality control, we identified 255,505 unique transcript isoforms, of which 14,845 (∼5.8%) were novel to the reference transcriptome annotation (GENCODE v39). We identified 23 transcripts differentially expressed in SRSF2-mutant samples, including 9 novel transcripts, the majority of which (n=7) were upregulated in SRSF2-mutant cases. A higher number of transcripts (n=80) and genes (n=65) demonstrated significant changes in proportional transcript usage. Among transcripts with increased expression and usage in SRSF2-mutant cases, we identified a novel transcript of the gene YBX1, which encodes an RNA- and DNA-binding transcription factor required for cell survival and self-renewal in myeloid neoplasms. This novel transcript, which we termed YBX1ΔEx4, has an in-frame loss of exon 4, and is predicted to encode a full-length protein missing a 30 amino acid region of the cold-shock (DNA-binding) domain. Using short read RNA-Seq data from an additional 29 CMML patients, as well as an independent dataset (GSE251806) comprising 43 blast-phase CMML patients, we confirmed increased exclusion of YBX1 exon 4 in SRSF2-mutant cases, with an even greater loss of exon 4 in blast-phase SRSF2-mutant cases. We hypothesize an important role of this isoform in CMML disease progression and are currently performing functional studies to characterize the effect of YBX1ΔEx4. Citation Format: Nickolas Steinauer, Terra Lasho, Christy Finke, Pankaj Pradeep, Jenna Fernandez, Alejandro Ferrer, Moritz Binder, Abhishek Mangaonkar, Mrinal M. Patnaik, . Long-read RNA-Seq reveals a novel isoform landscape of SRSF2-mutant chronic myelomonocytic leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1497.

PURPOSE Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND METHODS We analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication. RESULTS Unsupervised clustering identified nine entities with distinct genomic features and outcomes ( P < .001), including splicing machinery, transcription factors, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures. Notably, 15% of patients showed molecular/clinical overlap with other myeloid neoplasms. We integrated molecular and clinical information to build the international CMML Prognostic Scoring System (iCPSS), incorporating mutations in nine genes together with hematologic parameters and cytogenetic abnormalities. The iCPSS identified five groups with distinct probability of overall and leukemia-free survival in both training and validation cohorts ( P < .001), outperforming existing prognostic models. Importantly, 55% of patients were reassigned to higher or lower risk groups by the iCPSS. Decision analysis demonstrated that iCPSS could refine the optimal timing of allogeneic transplantation at the individual level; compared with conventional prognostic tools, iCPSS-based decision modeling changed transplantation strategy in 31% of cases, resulting in a significant gain-in-life expectancy for eligible patient population ( P < .001). A federated learning platform was implemented to enable continuous, privacy-preserving model update across multiple centers. CONCLUSION Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.

Abstract Recent updates to monocyte count thresholds recognize oligomonocytic chronic myelomonocytic leukemia (OM-CMML) as an early form of CMML. However, the clinical validity of these changes remains uncertain without incorporating biological and genomic factors. In this study, we analyzed a cohort of 911 patients (249 with OM-CMML, 359 with overt CMML, and 303 with myelodysplastic syndromes) using unsupervised clustering to evaluate the role of genomic determinants in refining CMML diagnosis. Our findings show that CMML molecular signatures (biallelic TET2 mutations or SRSF2-TET2 comutations) are linked to a distinct transcriptome, monocytic bias, classical monocytosis, and a higher risk of progression to overt CMML in OM-CMML cases. We developed a weighted genomic model and diagnostic workflow showing that combining genomic signatures with bone marrow monocyte frequencies in OM-CMML more accurately predicts progression to overt CMML. These findings support integrating genomic determinants and our clinic-ready diagnostic workflow into the CMML diagnostic framework to improve accuracy. Significance: Through comprehensive clinical and genomic profiling of a large patient cohort, alongside immunophenotypic and transcriptional cellular analyses, this study provides evidence that incorporating genomic determinants into the diagnostic criteria for OM-CMML improves diagnostic accuracy and refines the identification of early-stage CMML, thereby preventing misclassification.

ABSTRACT Condition Overview Clonal hematopoiesis (CH) refers to the presence of somatic variants in hematopoietic stem and progenitor cells (HSPC) that result in expansion over time. Diagnosis CH of indeterminate potential (CHIP) is operationally defined as pathogenic variants in oncogenic driver genes occurring in HSPCs at variant allele frequencies ≥ 2%. Clinical Associations CH is associated with increased risk for progressive cytopenias (also called clonal cytopenia of undetermined significance), hematological (predominantly myeloid but also lymphoid) neoplasms, cytosis (including monocytosis), and nonhematological conditions such as atherosclerotic cardiovascular and cerebrovascular disease. CH is linked to numerous other diseases including venous thromboembolism, type 2 diabetes mellitus, chronic obstructive pulmonary disease, osteoporosis, and gout, with a potential protective impact in Alzheimer's disease (AD). Management Recommendations CH detection is becoming increasingly common due to the ubiquitous use of somatic and germline sequencing in clinical practice, particularly, in oncology. The clinical implications of CH are most relevant in therapy‐related myeloid neoplasms (t‐MN), with antecedent CH clones in genes such as TP53, PPM1D, and/or CHEK2 having a clear selection advantage. Furthermore, genetic predisposition to CH has provided some clarity on the origin and evolution of CH. We are currently defining the role for CH assessment in individuals with persistent (≥ 4 months) unexplained cytopenias, in patients with malignancies prior to adjuvant cytotoxic chemotherapy and/or radiation or radionuclide therapy, screening prior to autologous hematopoietic stem cell transplantation or chimeric antigen receptor T cell (CAR‐T) therapy, and to work‐up potentially germline mosaic variants.

Abstract TP53 and PPM1D are key regulators of DNA damage response and repair, and somatic mutations in these genes often co-occur in hematopoietic cells, expanding under genotoxic stress. Unlike TP53 mutations, where mechanisms of progression are defined, pathways underlying clonal fitness and transformation in PPM1D mutant cells remain unclear. In collaboration with 5 academic institutions, we analyzed the clinical and molecular landscape of 337 patients with clonal hematopoiesis (CH) and clonal cytopenia of undetermined significance (CCUS) across 4 genotypes: PPM1Dmt/TP53wt (n = 170 [50%]), PPM1Dmt/TP53mt (n = 25 [7%]), TP53mt/PPM1Dwt (n = 17 [5%]), and TP53wt/PPM1Dwt (n = 125 [38%]). All PPM1D variants were truncating, located in exon 6 of the gene, with a median variant allele frequency (VAF) of 6% (range, 0.3%-64%). The PPM1Dmt/TP53mt genotype was most frequently encountered in therapy-related CH/CCUS (t-CH/t-CCUS; 80%, 66.5%, 76.5%, and 19%; P ≤ .001) and had a shorter time interval to detection from last genotoxic exposure (6.2, 5.9, 11.25, and 24.5 months; P ≤ .001) compared with PPM1Dmt/TP53wt, TP53mt/PPM1Dwt, and TP53wt/PPM1Dwt genotypes, respectively. Acknowledging the short follow-up duration, rates of malignant transformation were lower in the PPM1Dmt/TP53wt (2%) and PPM1Dmt/TP53mt (4%) groups compared with PPM1Dwt/TP53wt (12%) and PPM1Dwt/TP53mt (17%) groups (P ≤ .001), respectively. In summary, PPM1D mutations are frequently observed in t-CH/t-CCUS, with low median VAFs, and are associated with low rates of progression, even when comutated with TP53.