British Journal of Haematology

Background: Growing evidence suggests persistent thrombotic endothelial damage (together with elevated (fibrinaloid) microclot complexes (FMCs)) and immune dysfunction in the pathophysiology of Long COVID. Recently we proposed that there are different FMC phenotypes. Here we seek to determine the nature of these FMCs and aggregates in platelet-poor plasma (PPP) by using different markers, as well as thromboelastography (TEG) to assess for hypercoagulability of samples. Material and Methods: Whole-blood and PPP from control (n=19) and Long COVID (n=20) participants were assessed by thromboelastography. FMCs were quantified by imaging flow cytometry of Thioflavin-T (ThT)-stained PPP, 10X diluted PPP, and resuspended PPP pellets. The resuspended pellets were separately stained with a CD62P-PE antibody or Hoechst 33342 to label aggregates and FMCs containing amyloid, platelet, and nuclear material. ThT and CellMask Red were co-stained for confocal microscopy. ThT and myeloperoxidase (MPO), and ThT, Congo Red, and Hoechst were co-stained for fluorescence and polarized microscopy. Whole-blood smears were imaged by scanning electron microscopy (SEM). Results: Long COVID samples showed pronounced hypercoagulability in both whole blood and PPP, with shortened R, K and TMRTG and elevated alpha-angle and MRTG, but unchanged MA and TTG, indicating altered clotting kinetics. Persistence of this phenotype in PPP implicates soluble plasma constituents. ThT-positive FMCs were significantly increased in Long COVID across undiluted, diluted, and resuspended pellet samples; counts were processing-sensitive and a substantial ThT-positive population remained in the supernatant after centrifugation, indicating heterogeneity in density. Across probes, leukocyte material was the most abundant, then platelet material, and ThT-positive FMCs were the least abundant, with the three populations exhibiting unique morphology and occupying distinct size domains. Platelet-derived material was significantly elevated in Long COVID, whereas nuclear material was not. Co-stained samples subject to confocal, fluorescence, and polarized microscopy imaging showed that FMCs are heterogeneous, including events positive for ThT, CellMask, Hoechst, MPO, and Congo Red, and also a distinct subset of membrane-free, ThT-only events. Conclusion: In this Long COVID cohort, plasma is characterised by hypercoagulability and an increased burden of ThT-positive FMCs that are numerically minor relative to, and morphologically distinct from, aggregates and amyloidogenic FMCs marked with platelet- and leukocyte-derived material. The increased burden of platelet debris in PPP is likely indicative of persistent platelet activity. The existence of membrane-free, ThT-only FMCs, in addition to FMCs associated with cellular material, confirms an amyloid-dominated FMC population. Furthermore, positive Congo Red signal further confirms the amyloid nature of FMCs in PPP.

Background: Invasive fungal infection (IFI) is well recognised in children with acute leukaemia and allogeneic haematopoietic stem-cell transplantation but is poorly characterised in children with brain tumours. Children receiving intensive therapy for embryonal brain tumours (EBTs) have multiple potential risk exposures including corticosteroids, central venous access, neurosurgical devices, mucosal injury and myelosuppressive chemotherapy with, in selected protocols, autologous stem-cell rescue. Methods: We performed a single-centre retrospective cohort study of children aged 0-18 years treated for EBTs between 2015-2025. IFIs were classified as proven, probable, possible, or modified possible using EORTC/MSGERC and TERIFIC criteria. Clinical characteristics, treatment exposures, timing, microbiology and outcomes were described. IFI prevalence was calculated using exact binomial confidence intervals. Exploratory Cox proportional hazards analyses assessed associations with clinical and treatment factors. Results: Seventy-seven patients were included. Fourteen patients experienced 15 IFI episodes, giving a patient-level IFI prevalence of 18.2% (95% CI, 10.3-28.6%). Proven or probable IFI occurred in seven patients (9.1%; 95% CI, 3.7-17.8%). Nine episodes had microbiological evidence. Non-mould pathogens predominated, accounting for six of nine identified pathogens. Treatment on ACNS0334/ACNS0333 was associated with a lower hazard of proven/probable IFI compared with SJMB12 (HR 0.062; 95% CI, 0.002-0.78; p=0.031). Two patients had chemotherapy delays exceeding one month, one had persistent infection at 12 months; no deaths were directly attributed to IFI. Three patients received antifungal prophylaxis. Conclusion: Rates of IFI following intensive embryonal brain tumour therapy were comparable to those in other high-risk oncology populations. Local consideration of antifungal prophylaxis is warranted.

Purpose: Adults with high- or very high-risk acute leukemia (AL) or myelodysplastic syndrome (MDS) face substantial relapse risk after allogeneic hematopoietic stem-cell transplantation. We evaluated single-unit cord blood (CB) transplantation after ex vivo expansion with UM171 in this population. Patients and Methods: Two prospective, single-arm phase II trials at four centers enrolled 64 adults with high- or very high-risk AL or MDS; 60 received a UM171-expanded CB transplant and comprised the analysis population. CB units were preferentially selected at a 5/8 HLA match to maximize the graft versus leukemia effect. Patients received intermediate- or high-intensity conditioning with tacrolimus/mycophenolate mofetil graft-versus-host-disease (GVHD) prophylaxis. Endpoints included safety, feasibility, non-relapse mortality (NRM), relapse-free survival (RFS), overall survival (OS), GVHD, GVHD-free relapse-free survival (GRFS), chronic GVHD-free relapse free survival (CRFS). Results: Thirty-two percent of patients had undergone previous transplantation, 17% of patients with AL were not in remission and 24% of those with AML/MDS had TP53 mutations. Of 62 patients who remained eligible for transplantation, 60 had a graft successfully manufactured and infused. Median times to neutrophil and platelet engraftment were 17 and 38 days, respectively. NRM was 5.1% at day 100 and 15.2% at 1 year. Two-year cumulative incidence of relapse was 22.3%. Two-year OS and RFS were 63.9% and 60.4%, respectively. Grade III-IV acute GVHD incidence was 20.3% at 1 year and moderate-to-severe chronic GVHD incidence was 6.8% at 2 years. Conclusion: UM171-expanded CB transplantation was feasible and provided prompt engraftment, durable disease control, and infrequent clinically significant chronic GVHD in adults with high- and very high-risk AL/MDS. Comparative studies are warranted to define its role relative to contemporary donor platforms.

Large genomically annotated acute myeloid leukaemia (AML) datasets exist, but population-based contemporary cohorts remain scarce. Here we report clinicopathological, genomic, and outcome data from Danish AML patients. 2,512 AML patients were identified between 2015-2022, of whom 33.8% had available NGS data (NGS+). In patients [≤]70 years, baseline characteristics and outcomes were comparable between NGS+ and NGS- groups. In patients >70 years, more NGS+ patients received intensive treatment, but survival was similar among intensively treated patients. The distribution of mutations varied significantly by age and sex, with older age and male sex exhibiting higher frequencies of adverse-risk gene mutations. In intensively treated NGS+ patients, ELN2017 stratified 5-year OS: 58.4% (favorable), 43.4% (intermediate), and 28.2% (adverse), with hazard ratios (HRs) of 0.63 (favorable) and 1.45 (adverse) relative to intermediate. ELN2022 yielded corresponding OS rates of 56.9%, 51.8%, and 29.7%, with HRs of 0.78 and 1.86. The two models had comparable predictive performance for OS in a time-dependent model. In conclusion, outcomes of intensively treated AML patients were comparable irrespective of NGS status, underscoring the representativeness of the REFORM-AML database for the Danish AML population. Age and male sex correlated with adverse-risk mutations, and both ELN2017 and ELN2022 robustly predicted survival.

The genetic risk factors of immune cytopenias are unclear. Immune cytopenias have been reported in various genetic contexts: 1) inherited error of immunity genes, mainly due to rare germline variants, 2) systemic lupus erythematosus, associated with common germline variants, 3) hematological malignancies, and 4) clonal hematopoiesis, the latter two due to somatic variants. However, the respective contribution and interaction of these variants remain to be investigated. Here, we used two large biobanks with whole genome sequencing data to systematically investigate the genetic contribution to immune cytopenia. We found that the four types of genetic variants independently contribute to immune cytopenia risk. We notably found that carriers of variants in some autosomal recessive genes of inherited error of immunity had an increased risk of immune cytopenia. Additionally, common variant-mediated risk of systemic lupus erythematosus also increased the risk of immune cytopenia. Overall, a third to a half of patients with immune cytopenia carried at least one of the four genetic risk variants investigated. Combining the four variants allowed stratifying the risk of immune cytopenia in both general and high-risk population. In general population, the 10-year incidence of immune cytopenia in the lowest and highest risk groups was 0.08% and 1.5%, respectively. In sum, this work identified that different genetic risk factors can lead to immune cytopenia. A large proportion of individuals with immune cytopenia carried an underlying genetic risk factor. Finally, combining these genetic risk factors enabled risk stratification.

BACKGROUND: The transport and storage conditions of thawed plasma are not strictly regulated by the FDA and applying red blood cell transport standard of 1-10 degrees Celcius to recently thawed plasma often results in high discard rates. This study evaluated the extended 120-hour (5-day) coagulation factor stability and sterility of thawed plasma frozen within 24 hours (PF24) following a 6-hour transport cooler simulation. STUDY DESIGN AND METHODS: Fourteen PF24 units (8 group O, 6 group B) were thawed at 30-37 degrees Celcius and assigned as control (n=7, direct 1-6 degrees Celcius refrigeration) or experiment (n=7) units. Experiment units were held at room temperature for 30 minutes, stored in validated transport coolers for 6 hours, and then transferred to 1-6 degrees Celcius refrigeration. Measurements of temperature, prothrombin time (PT), Factor V (FV) activity, and Factor VIII (FVIII) activity were conducted at 0-, 6-, 24-, and 120-hour post-thaw. Sterility testing was performed at 0-hour and 120-hour using automated aerobic and anaerobic blood cultures. RESULTS: No statistically significant differences were observed between control and experiment units at 120-hour for mean PT (15.09 vs. 15.16 seconds, p = .44), FV activity (81.14 vs. 74.57%, p = .23), or FVIII activity (61.86 vs. 53.00%, p = .22). Delta analysis (120h-0h) confirmed equivalent factor decay rates between groups. All bacterial cultures showed no growth at 120-hour. CONCLUSION: A 6-hour cooler time of thawed PF24 does not accelerate coagulation factor degradation or compromise sterility over an extended 5-day shelf life. These findings validate flexible inventory return policies, allowing blood banks to reduce product waste.

Objective: To investigate the distribution frequencies of Rh blood group antigens (C, c, D, E, e) and phenotypes in the population of Hengyang, Hunan Province, and to analyze the production of Rh alloantibodies in repeatedly transfused patients, thereby providing a basis for developing precise transfusion strategies. Methods: Rh phenotyping, antibody screening, and antibody identification were performed on 3,635 hospitalized patients and 5,326 blood donors using Rh blood group typing cards. A blood transfusion management system was used to identify and track patients' historical specific antibodies, with automatic alerts for inconsistent results. Results: The antigen frequency distribution in patients was D (99.56%) > e (94.69%) > C (91.64%) > c (48.06%) > E (38.79%). The phenotypic distribution frequencies among Rh(D)-positive patients were as follows: CCDee (51.31%) > CcDEe (30.01%) > CcDee (9.37%) > ccDEE (5.00%) > ccDEe (2.79%) > CCDEe (0.80%) > ccDee (0.39%) > CcDEE (0.28%) > CCDEE (0.05%). From March to October 2023, after implementing Rh phenotyping and antigen-matched compatible transfusions for five antigens, the antibody screening positivity rate decreased to 0.97%, compared to 1.14% during the same period in 2022 (p < 0.05). Antibody identification in 276 antibody-positive samples revealed that alloantibodies against the Rh system accounted for the highest proportion (46.01%, 127/276), which was lower than the 55.21% observed in 2022 (p < 0.05). Unexpected antibodies in the Rh system were the primary cause of crossmatch incompatibility in clinical transfusions, accounting for 46.01%. Conclusion: Rh phenotyping and sustained antigen-matched compatible transfusions in repeatedly transfused patients can effectively prevent and reduce alloantibody production. Continuous tracking of specific antibodies and transfusion efficacy evaluation can be achieved through an efficient blood transfusion management system.

Large Language Models (LLMs) are increasingly used by clinicians and patients for medical queries, yet their accuracy and safety at the specialist level in hematology remain insufficiently characterised. We benchmarked ten frontier proprietary and open-weight LLMs across two generations on 1,477 board-style hematology multiple-choice questions (MCQs) derived from five educational datasets spanning nine disease areas and six clinical skill domains, including text-only and multimodal case vignettes. Claude Opus 5 had the highest mean accuracy (92.7% text, 76.9% multimodal), followed closely by Gemini-3.1 Pro (91.4% and 78.7%), Gemini-3.6 Flash (91.0% and 74.8%) and GPT-5.6 Sol (89.9% and 76.7%). Accuracy significantly correlated with model size both for text-only and multimodal MCQs. Between model generations, the largest improvements in accuracy were seen for open-weight models whereas proprietary models showed only marginal gains. In error analysis, top-performing models exhibited highly concordant failure patterns, suggesting shared limitations on challenging cases. Frontier LLMs exhibit substantial specialist hematology knowledge across diverse subspecialist domains and clinical skill sets. Yet, despite high accuracy on board-style questions in hematology, continuous expert-on-the-loop output monitoring is paramount.

Pre-infusion cerebrospinal fluid (CSF) proteomics may enable risk stratification for immune effector cell-associated neurotoxicity syndrome (ICANS) after chimeric antigen receptor T-cell therapy, but disease-specific baseline variation may influence biomarker interpretation. We compared pre-infusion CSF proteomic profiles from 28 patients with diffuse large B-cell lymphoma (DLBCL) and 9 with multiple myeloma (MM). Although principal component analysis showed substantial overlap, orthoPLS-DA identified significant disease-associated discrimination supported by permutation testing. Proteins contributing to this separation were enriched for plasma cell-related, extracellular, and metabolic signatures. ICANS occurred in 7 of 28 DLBCL patients but in none of the 9 MM patients. MM cases aligned with the ICANS-negative group in binary analysis while remaining distinct from both DLBCL subgroups in three-group analysis. These findings indicate that pre-infusion CSF proteomics captures disease-specific molecular structure that should be considered when developing and interpreting biomarkers of CAR-T-associated neurotoxicity.

Hematologic diagnostics and especially cytomorphologic assessment are time-intensive and require high levels of expertise. Vision Language Models (VLM) show promise in medical image analysis in radiology and histopathology, while an evaluation on detecting acute myeloid leukemia (AML) is lacking. Our goal was to evaluate three Vision Language Models regarding their diagnostic accuracy and safety in clinical decision support in detecting AML from digitized bone marrow smears (BMS). Whole slide images were obtained from bone marrow smears of 50 AML patients and 50 bone marrow donors. Ten representative fields of view per sample were extracted manually. Three VLMs were used, two of which are considered generalist models (Qwen3.5-397B-A17B-FP8, GLM-4.6V-FP8), while the other one is a medically adapted model (Medgemma-27b-it). All models performed zero-shot analysis using two prompting strategies: First, a context-rich prompt requesting reporting of WHO/FAB diagnostic criteria in a structured manner, and secondly a minimal prompt without specific hematologic context. Overall diagnostic accuracy was poor for all models as they exhibited the overwhelming tendency to classify most samples as leukemic: With context-rich prompts, GLM4.6 identified 90% of leukemic samples while also labeling 92% of bone marrow donors as AML. The medical specialist model MedGemma-27b showed similar failure, misclassifying 86% of healthy donors and correctly detecting AML in only 66% of cases. Qwen3.5 performed best under detailed prompting, achieving a specificity of 0.26 and accuracy of 0.51. Accuracy of all models improved with context-free prompts (accuracies range 0.47-0.79), yet they still lacked the ability to correctly distinguish between leukemia and healthy bone marrow. Qwen3.5 was the only model to maintain meaningful specificity (0.64) and correctly identified 94% of AML, yielding an overall accuracy of 0.79. Morphologic feature-level agreement with human expert reports was poor across all models, indicating poor recognition of cell-level morphologies. This failure is likely driven by the fact that pathology imaging archives are vastly scraped during model training while hematological samples are not as widely available and therefore, hematology is an out-of-bounds use-case for these models, rendering them currently unsuitable for clinical decision support in hematology.

Multiple myeloma (MM) is a plasma cell malignancy that frequently harbors activating mutations in NRAS and KRAS oncogenes. Previous clinical trials targeting the Ras/MAPK oncogenic pathway with MEK inhibitors (MEKi) were met with limited efficacy, and newer generation of Ras inhibitors (RASi) have not been specifically evaluated in MM patients. To investigate the vulnerabilities of Ras-mutant MM to targeted therapies, we examined the sensitivity of a panel of human MM cell lines to the RASi RMC-6236 (daraxonrasib) and the MEKi trametinib. Although Ras-mutant MM cells are responsive to oncogenic Ras signaling and are sensitive to RAS inhibition, their sensitivity to MEK inhibition is heterogeneous. Mechanistic studies revealed that c-Myc protein is destabilized by MEK inhibition only in MEKi-sensitive MM cells but not in MEKi-resistant cells, and pharmacological and genetic stabilization of c-Myc is sufficient to confer MEKi resistance. In contrast, Ras inhibition reduced c-Myc protein across all MM cell lines tested, regardless of their dependency on the MAPK pathway, and c-Myc expression was insufficient to promote RASi resistance. Together, these findings demonstrate that c-Myc protein stability differentiates the response of Ras-mutant MM cells to Ras and MEK inhibition, and suggest that direct targeting of the Ras oncoprotein, rather than its downstream MAPK pathway, may present a more effective strategy.

Background: Sickle cell anaemia (SCA) is characterised by chronic haemolysis, inflammation, platelet activation, and recurrent vaso-occlusive complications. Mean platelet volume (MPV) is a readily available platelet index, but evidence regarding its relationship with disease severity in paediatric SCA remains limited and inconsistent, particularly in African populations. Objective: To evaluate the relationship between MPV and disease severity among children with SCA in Kwara State, North-Central Nigeria. Methods: This hospital-based cross-sectional study included 51 clinically stable children with confirmed SCA consecutively recruited from the paediatric haematology clinic of Children Emergency Specialist Hospital, Ilorin. Complete blood count, including MPV, was performed using a Rayto RT-7600 automated haematology analyser. Disease severity was assessed using a composite clinical and laboratory scoring system based on a previously described method. Pearson's correlation, Spearman's rank correlation, simple linear regression, and the Kruskal-Wallis test were used as appropriate. Statistical significance was set at p < 0.05. Results: Of 51 participants, 14 (27.5%) had mild, 33 (64.7%) moderate, and 4 (7.8%) severe disease. Mean MPV was 9.34 +/- 0.76 fL (range, 8.0-11.2). Pearson's correlation showed a weak positive, non-significant linear relationship with severity score (r = 0.231, p = 0.103), whereas Spearman's analysis showed a weak positive monotonic association (rho = 0.286, p = 0.042). Regression explained 5.3% of severity-score variation (R2 = 0.053, p = 0.103). MPV did not differ significantly across severity categories (H = 2.163, p = 0.339). MPV correlated inversely with haemoglobin (r = -0.556, p < 0.001) and positively with platelet count (r = 0.307, p = 0.029). Conclusion: MPV showed a weak relationship with disease severity but inconsistent statistical evidence across analyses. The limited explained variance and absence of significant differences between severity categories do not support MPV as a standalone severity marker. Larger longitudinal studies are warranted. Keywords: Sickle cell anaemia; Mean platelet volume; Disease severity; Platelet indices; Paediatric haematology; Cross-sectional study; Nigeria.

Research replication is essential to build trust in evidence produced from real-world data. However, methods for conducting and reporting these studies are lacking, particularly related to data quality and fitness assessments. We replicated a single-center study from Children's Hospital of Atlanta in a multi-institutional learning network (PEDSnet) to evaluate the long-term effects of hydroxyurea in children with severe sickle cell disease (SS/S{beta}0 genotype). An AS-IS arm applied the original study's criteria with no major data quality adjustments, while a Data Fitness Enhanced (DFE) arm used systematic data fitness assessment to inform adjustments to cohort inclusion criteria and variable definitions; both arms then replicated the original study's primary analyses. Data quality checks in the DFE arm refined cohort criteria and improved hydroxyurea capture, drug era computation, and hematology specialist mapping. The DFE cohort produced average treatment effects with higher face validity and greater concordance with the original study (e.g., change in ED visits: -0.44 (CI -0.60, -0.26) versus -0.36 (CI -0.57, -0.16) in the original study) than the AS-IS cohort (-0.08 (CI -0.26, 0.09)), which yielded several implausible results. These findings show that superficially plausible cohort characteristics do not guarantee valid results without transparent, systematic data fitness assessment.

Background VEXAS syndrome is a late onset autoinflammatory disease caused by somatic UBA1 mutations and characterized by heterogeneous systemic and hematologic manifestations. We aimed to describe all identified Belgian cases through a national multicenter cohort. Methods We conducted a retrospective study across four Belgian tertiary centers. Clinical, biological, genetic, therapeutic, and outcome data were collected using standardized anonymized case report forms. Analyses were descriptive. Results Twenty-one male patients were identified between January 2018 and May 2025. General symptoms such as Fatigue, weight loss and sweating occurred in 95% of cases. The most frequent manifestations were cutaneous (85.7%), hematologic (76.2%), articular (66.7%), thromboembolic (57.1%), chondritis (42.9%), ophthalmologic (38.1%), pulmonary (38.1%). Other manifestations also included vasculitis (61.9%). At diagnosis, 95% had anemia, macrocytic in 57%, and 28.6% had thrombocytopenia. Corticosteroids were the main first line therapy. Second line treatments included anti IL 6 agents (46.7%), JAK inhibitors (20%), and azacitidine (14.3%). Complete remission occurred in 50% of patients receiving anti IL 6 therapy and in 33% treated with either JAK inhibitors or azacitidine. Two patients underwent allogeneic stem cell transplantation, one died from infectious complications. Twenty six infectious episodes were recorded, including opportunistic infections. Six patients (28.6%) died during follow-up, four from infectious complications. Conclusion This first Belgian national cohort confirms the clinical heterogeneity of VEXAS syndrome and highlights substantial infectious morbidity and mortality. Access to targeted second-line therapies, particularly anti IL-6 agents and JAK inhibitors, remains challenging despite apparent clinical benefit.

Background and Purpose: Rare thoracic tumors face persistent exclusion from clinical trials. To address this, we characterized the representation, geographical distribution, mechanisms of action, and clinical outcomes of Phase I trials in thymic epithelial tumors (TETs) and mesothelioma. Materials and Methods: Phase I solid-tumor trials from Jan 1995 to Jan 2026 were identified on ClinicalTrials.gov and processed using Python to extract trial status. A Python pipeline identified TET and mesothelioma trials and divided them into resulted and non-resulted trials. Resulted trials underwent manual review, and publication status was verified through PubMed, Google Scholar, and LARVOL CLIN. Results: Of 6,610 Phase I trials screened, 3.1% (n=203) included rare thoracic tumors. Among these, 11.3% (n=23) reported results, 34.8% (8/23) advanced beyond Phase I, and 21.7% (n=5) were published in high-impact journals (IF > 10). Targeted therapies dominated classifications (65.2%), followed by immunotherapies (34.8%) and antibody-drug conjugates (ADCs; 8.7%). Reported efficacy outcomes showed wide ranges: objective response rate (ORR, 0-44%), progression-free survival (PFS, 1.3-8.3 months), and overall survival (OS, 3.0-19.3 months). Fatigue was the most frequent toxicity, observed in 58% of targeted therapy trials and 100% of immunotherapy and ADC cohorts. No novel agents achieved subsequent disease-specific FDA approval. Geographically, among 96 trial locations, 49.0% were concentrated in Europe and 21.9% in the United States. Conclusions: Current Phase I trials exhibit a striking scarcity of research for mesothelioma and TETs, concentrated predominantly in high-income regions. Bridging this gap requires prioritizing rare thoracic tumors and building clinical infrastructure in underrepresented countries to enhance trial access and diversity. Keywords: Thymic epithelial tumors, Mesothelioma, Phase I clinical trials, ClinicalTrials.gov, Rare thoracic malignancies.

Acquired aplastic anaemia is caused by immune-mediated loss of haematopoietic stem and progenitor cells (HSPCs), but the regulatory states that sustain cytotoxic immunity and their relationship to inherited susceptibility remain incompletely understood. We integrated two single-cell RNA-sequencing cohorts spanning healthy, non-severe and severe aplastic anaemia with single-cell chromatin accessibility profiling, genome-wide association meta-analysis, Bayesian fine-mapping and stratified LD-score regression. Single-cell transcriptomics revealed a coordinated shift across the immune and haematopoietic compartments. Cytotoxic CD8 and {gamma}{delta} T cells converged on a shared NKG7/CCL5/PRF1 effector program, indicating that cytotoxic differentiation extends across T-cell lineages. Effector-memory T cells combined inflammatory signalling with SOCS, DUSP, TNFAIP3, RGS1 and TOX, consistent with sustained stimulation accompanied by extensive feedback regulation. With increasing disease severity, these inflammatory states were further coupled to hypoxic, oxidative and unfolded-protein-response programmes, suggesting qualitative remodeling of the immune compartment rather than uniform amplification of perforin-granzyme expression. Single-cell chromatin accessibility provided a regulatory counterpart to these transcriptional states. Naive and memory-associated cells retained TCF7/LEF1/BACH2 accessibility, whereas cytotoxic cells acquired coordinated accessibility across CCL5, NKG7, PRF1, granzymes and killer-receptor loci. Pseudotime, motif activity and integrated RNA-chromatin profiles positioned AP-1, NFAT and TBX21 along this transition, linking loss of memory-associated regulation to acquisition of cytotoxic effector competence. Genetic meta-analysis independently recovered association at the HLA-B region, reinforcing antigen presentation as the principal inherited susceptibility axis. Fine-mapping additionally prioritized a non-HLA locus without resolving its effector gene, while stratified LD-score regression found no detectable preferential enrichment of common-variant heritability within effector-memory or cytotoxic regulatory elements. Integrated with the cellular data, these findings support a mechanistic hierarchy in which HLA-linked antigen presentation establishes the selective context, persistent cytotoxic T-cell state remodeling maintains pathogenic immune pressure, and IFN{gamma}-responsive HSPC suppression translates this pressure into haematopoietic failure.

Background: Immigrant patients with limited dominant-language proficiency may face intersecting challenges when navigating cancer care and long-term oral anticancer treatment. Although studies have reported lower medication adherence among migrant and ethnic minority populations, less is known about how migration-related, linguistic, experiential and contextual factors shape treatment engagement from patients own perspectives. This study explored how immigrant patients experience illness, navigate treatment and engage with oral anticancer medication within the broader context of cancer care. Methods: Thirteen immigrant patients with limited dominant-language proficiency receiving oral anticancer medication for haematological malignancies were recruited from the haematology outpatient clinic of a Belgian university hospital. Semi-structured interviews were conducted in participants native languages using an adapted version of the McGill Illness Narrative Interview, with professional interpreters or intercultural mediators. Interviews were analysed using inductive reflexive thematic analysis within an interpretivist framework. Results: Analysis of patients illness narratives generated five experiential dimensions: 1) bodily, biographical and identity rupture; 2) temporal disruption and uncertainty; 3) linguistic vulnerability shaping the illness experience; 4) meaning-making and explanatory frameworks; and 5) resources sustaining treatment engagement. Linguistic vulnerability shaped access to biomedical knowledge, participation in healthcare encounters and patient autonomy, while patients mobilised personal, relational, existential, linguistic and institutional resources to sustain treatment continuity. Treatment engagement emerged as a dynamic and relational process embedded within broader migration-related, linguistic and healthcare contexts. Rather than representing fixed determinants or sequential stages, the five dimensions formed an evolving configuration whose relative salience varied throughout the illness trajectory. Conclusion: This study proposes a multidimensional interpretive model of engagement with oral anticancer medication among immigrant patients with limited dominant-language proficiency. Rather than conceptualising adherence as an isolated individual behaviour, the findings show how migration-related contexts shape the conditions under which treatment engagement becomes possible, difficult or fragile. By foregrounding immigrant patients lived experiences, the study identifies experiential, linguistic, relational and structural dimensions of cancer care that are difficult to capture through behavioural adherence measures alone and offers insights for more equitable, context-sensitive and patient-centred oncology care.

Background: Adverse event (AE) coding is essential for safety monitoring in oncology clinical trials, particularly in acute myeloid leukemia (AML), where intensive therapies are associated with frequent and heterogeneous toxicities requiring standardized MedDRA (Medical Dictionary for Regulatory Activities) coding. However, manual Low-Level Term (LLT) assignment remains labor-intensive, subjective, and difficult to scale. Although large language models (LLMs) have emerged as promising decision-support tools for automated coding, unguided zero-shot generation remains insufficient for reliable fine-grained MedDRA coding. Objective: To develop and evaluate a retrieval-augmented reasoning pipeline for clinically aligned LLT-level MedDRA coding of free-text adverse events from prospective AML clinical trials. Methods: We implemented a retrieval-augmented reasoning pipeline inspired by the retrieval-augmented generation (RAG) paradigm using LLaMA-3.3-70B-Instruct as the primary backbone and benchmarked the framework across multiple open instruction-tuned LLMs. Dense semantic retrieval first generated a constrained top-100 LLT candidate set for each AE, followed by structured LLM reasoning to select a single best-matching LLT and deterministic mapping to Preferred Term (PT) and System Organ Class (SOC) levels. The pipeline was evaluated retrospectively on AE datasets from three prospective AML clinical trials (MOSAIC, DELTA, and DaunoDouble) with automated LLT/PT/SOC metrics and expert-assessed Clinical Correctness Rate (CCR). Results: Clinical expert review showed high clinical acceptability of the RAG pipeline across datasets (91-97%). Under automated evaluation, the pipeline achieved LLT exact accuracy of 50-58%, PT accuracy of 78-85%, and SOC accuracy of 90-93%. Zero-shot generation and random candidate selection performed substantially worse. Semantic retrieval more often included the coder-assigned LLT among the candidate terms available to the model than retrieval based on lexical similarity. Multi-model benchmarking showed that backbone choice mainly affected LLT exact agreement, whereas PT and SOC performance remained comparatively stable. Conclusions: Retrieval-augmented reasoning supports clinically aligned MedDRA coding of free-text adverse events under realistic candidate constraints in AML clinical trials. Evaluation across three AML clinical trials showed that strict LLT-level string agreement underestimated clinical ap-propriateness, highlighting the importance of combining hierarchical evaluation metrics with clini-cal expert validation for AI-assisted MedDRA coding in hematology trials.

Classic Philadelphia chromosome-negative myeloproliferative neoplasms (MPNs) are hematopoietic stem cell cancers that result in aberrant trilineage myeloid cell proliferation, bone marrow fibrosis, and increased risk of acute myeloid leukemia. MPNs are driven by deregulated activity of the JAK2 kinase, induced by mutations in the JAK2, CALR, and MPL genes, but approved JAK2 inhibitors primarily offer palliative effects, not remission. Cell models that demonstrate MPN oncogene driven JAK2 activity requisite for cell proliferation are important research tools for the development of anti-JAK2 and anti-JAK2 signaling therapeutics for MPN. SET2 and UKE1 cells are two such cell lines, as they express JAK2-V617F, one of the major driving mutations of MPN, and require signaling by JAK2 for their growth and viability. These cell lines are AML cell lines that were derived from patients with a previous diagnosis of MPN before they developed AML. Our previous studies demonstrated that the SHP2 phosphatase may be a therapeutic target for MPNs, and here we report our identification and characterization of an activating point mutation of SHP2 (encoded by the PTPN11 gene), SHP2-F71L, in UKE1 cells. Given SHP2 functions downstream of JAK2 and mediates JAK2 activation of RAS, we set out to determine the effect of mutational activation of SHP2 on the sensitivity of MPN model cells to JAK2 inhibition. We used CRISPR-Cas9 to edit this mutation in UKE1 cells back to wildtype such that these cells only express wildtype SHP2. These cells exhibited enhanced sensitivity to SHP2 inhibition and, notably, enhanced sensitivity to the JAK2 inhibitor ruxolitinib. This altered sensitivity was reverted by exogenous expression of SHP2-F71L but not SHP2-WT, indicating expression of an activated SHP2 may alter sensitivity to JAK2 inhibition in MPN model cells. We further explored this by genetically editing SET2 cells to express SHP2-F71L but observed no change in SHP2 inhibitor or JAK2 inhibitor sensitivity in cells with a SHP2-F71L encoding allele of PTPN11. Using the cytokine dependent BaF3 cell line where deregulation of JAK2 signaling by expression of JAK2-V617F induces cytokine independent transformation that remains dependent on this JAK2 signaling, we observed no effect of the expression of an activated SHP2 mutant on the sensitivity of the growth and viability of these cells to ruxolitinib. Recent studies have demonstrated activation of RAS signaling can antagonize JAK2 inhibition in pre-clinical MPN models, and the presence of RAS pathway mutations associates with patients whose disease advances on ruxolitinib therapy. Such mutations include activating mutations in PTPN11, as SHP2 is an upstream activator of RAS signaling. Our results suggest that activating PTPN11 mutations have the potential to desensitize the effects of JAK2 inhibition therapy in patients undergoing therapy and may be dependent on unknown cell and molecular profile contexts.

The emergence of bispecific antibodies (BsAbs) targeting T cells (CD3+) and tumor plasma B cells (BCMA+) has provided a new therapeutic option for patients with relapsed/refractory multiple myeloma cancer. However, responses to CD3xBCMA BsAb therapy remain heterogeneous, and treatment is associated with frequent immune-related adverse events. Although baseline immune characteristics have been associated with clinical outcomes, little is known about the early immune dynamics induced by this therapy. Here, we investigated whether longitudinal clinical monitoring and high-dimensional profiling of blood circulating T cells could identify early biomarkers of response or toxicity during treatment. Our results indicate that all treated patients exhibit an early depletion of circulating T cells associated with T-cell activation within the first two weeks. Integration of clinical and immunological parameters using Factorial Analysis of Mixed Data (FAMD) identified immune features associated with treatment outcome. Responders had lower plasma soluble BCMA concentrations, fewer bone lesions, higher circulating lymphocyte counts at baseline. During the first days of treatment, responders exhibited a more pronounced increase in plasma CXCL10 levels, associated with a greater decrease in T lymphocyte counts. Overall, our findings suggest that integrating clinical and immune parameters measured during the first days of treatment may enable early patient stratification and support the development of a predictive score to identify patients with multiple myeloma who are most likely to benefit from CD3xBCMA BsAb therapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/743749v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1cb079org.highwire.dtl.DTLVardef@1860106org.highwire.dtl.DTLVardef@ad36d3org.highwire.dtl.DTLVardef@1ea5c1e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIIntegrated clinical and blood T-cell immune profiling using FAMD enables patient stratification following CD3xBCMA BsAb therapy. C_LIO_LIT-cell immune activation occurs predominantly within the first two weeks of therapy. C_LIO_LIFirst-week clinical and immune parameters identify patients most likely to benefit from therapy. C_LIO_LIHigh CXCL10 levels, a profound early decline in circulating T cells, low sBCMA levels, and fewer bone lesions are candidate predictive markers of treatment response. C_LI