Hemato, Volume 7, Issue 2 (June 2026) – 6 articles

Acute lymphoblastic leukemia (ALL) is a genetically and epigenetically heterogeneous malignant disease characterized by different subtypes with varying sensitivities to conventional chemotherapy. Despite significant improvements in survival rates, relapse remains the primary cause of treatment failure, often associated with intrinsic or acquired drug resistance. First-line therapy at diagnosis represents a major determinant of relapse in ALL. In this study, we performed a transcriptome and drug response profiling analysis to identify subtype-specific cell surface proteins that are overexpressed in patients with poor response to induction therapy. We summarize the current state of knowledge regarding chemotherapy responses, resistance mechanisms to standard cytostatic drugs and the increasing importance of cell biomarkers as predictors of an adverse disease course and potential therapeutic targets. We discuss the results of clinical and molecular studies linking specific genomic alterations—such as KMT2A-rearrangements, Ph-like, DUX4-rearrangements and T-ALL—to drug resistance and highlight surface antigens like CSPG4, HER2, MCAM and ROR1 that define high-risk leukemia phenotypes. The integration of transcriptomic, immunophenotypic and drug response data could enable a new generation of risk-adapted, surface-directed strategies for relapse treatment in ALL. Our analysis therefore provides subtype-specific predictive therapeutic targets for relapse treatment in ALL. Full article

Background: Sepsis remains a leading cause of mortality in the intensive care unit (ICU). Platelets (PLTs) are central to coagulation, inflammation, and the maintenance of endothelial integrity. Although thrombocytopenia is an established prognostic marker in sepsis, alterations in PLT function and morphology may provide additional insight into disease progression. Methods: This retrospective pilot study examined adult ICU patients diagnosed with sepsis or septic shock. Extracted data included demographic characteristics, clinical variables, and laboratory parameters. Platelet function was evaluated using impedance aggregometry and rotational thromboelastometry (ROTEM), while PLT morphology metrics were obtained from complete blood counts. Statistical analyses comprised Spearman’s rank correlation and logistic regression. Results: Twenty patients were included. Platelet aggregation was impaired across ASPI, ADP, and TRAP-6 assays despite normal PLT counts and morphology. ROTEM-derived measure of PLT contribution to clot strength was within normal ranges. No correlations were observed between PLT function and PLT morphology parameters. An inverse correlation was identified between ROTEM-derived PLT contribution to clot strength and SOFA score (r = −0.60, p = 0.03). Neither PLT function nor PLT morphology was associated with ICU mortality. Conclusions: Functional PLT deficits may occur in sepsis in the absence of structural abnormalities. ROTEM-derived PLT contribution to clot strength may inversely reflect sepsis severity. Platelet function parameters appear unlikely to predict short-term mortality in septic patients. Full article

Background/objectives. Clostridioides difficile infection (CDI) remains a major cause of healthcare-associated infectious colitis, particularly among elderly and multimorbid patients. Disease severity and clinical evolution are influenced by the host’s systemic inflammatory response. This study aimed to evaluate the hematological and inflammatory profile of hospitalized CDI patients and to explore the prognostic value of routine laboratory parameters for prolonged hospitalization. Methods. A retrospective observational study was conducted on 50 adult patients hospitalized with laboratory-confirmed CDI (positive glutamate dehydrogenase, antigen and toxins A/B). Hematological parameters (WBC, hemoglobin, RDW) and inflammatory markers (CRP, fibrinogen) were analyzed at admission and discharge. Prolonged hospitalization was defined as length of stay (LOS) > 8 days (cohort median). Multivariable logistic regression was performed to assess admission predictors of prolonged hospitalization, and model discrimination was evaluated using leave-one-out cross-validation (LOOCV). Results. At admission, patients exhibited marked inflammatory activation accompanied by reduced hemoglobin and elevated RDW. Significant correlations were observed between inflammatory markers. All inflammatory and hematologic parameters improved at discharge. In multivariable analysis, lower admission hemoglobin and higher log-transformed CRP showed exploratory associations with prolonged hospitalization. The internally validated model demonstrated moderate discriminative performance (AUC = 0.65). Conclusions. CDI is associated with substantial systemic inflammatory activation and hematologic alterations. While no individual predictor reached statistical significance, the observed effect sizes provide hypothesis-generating estimates to inform future prospective validation studies. Full article

Background: Sickle cell disease (SCD) patients have increased susceptibility to infections, particularly encapsulated bacterial pathogens such as Streptococcus pneumoniae and Haemophilus influenzae type b. Hyposplenism as well as immune defects in SCD result in increased risks for infections; these are the most frequent complications in individuals with SCD. This study was performed within the African Research and Innovative initiative for Sickle cell Education (ARISE, EC GA No 824021) project to develop best practices in the clinical management of SCD. In this retrospective study we aimed to determine the most prevalent reported infections among SCD patients’ records during clinic visits at Ahmadu Bello University Teaching Hospital, Zaria, Nigeria. Methods: The medical records of 1961 paediatric SCD patients from 1998 to 2023 were extracted and reviewed from a pilot electronic registry using a structural query. The data analysed patterns of infections reported during clinic visits at the ABUTH, Zaria, Nigeria. Results: 458 subjects (23.4%) manifesting at least one infection, of whom 392 (19.9%) subjects had a single infection (bacterial or parasitic) and 173 (8.8%) had more than one infection (bacterial and parasitic). Conclusions: Bacterial and parasitic infections are a significant complication of SCD patients attending a tertiary institution in northern Nigeria. Full article

Background: The co-existence of hemophilia and cancer presents one of the most complex clinical scenarios, demanding individualised therapeutic planning to balance oncologic efficacy and hemostatic safety. This study evaluated the ability of two Large Language Models (LLMs)—ChatGPT (GPT-4) and Microsoft Copilot (GPT-4–based)—to generate clinically appropriate recommendations for real cases of hemophilia with concurrent malignancy. Methods: Six consecutive adult cases of hemophilia and cancer, managed at the Hemophilia Centre of Padua, Italy, were selected for evaluation. Identical structured prompts were submitted to both LLMs. Two independent expert clinicians rated the model outputs across five domains (Decision/Rationale, Strategy, Selected Drug, Regimen, and Assessment) using a four-level ordinal scale. Results: LLMs demonstrated uneven performances. Outputs were consistently rated as highly reliable in domains involving high-level synthesis, such as Assessment and Strategy. However, substantial limitations were observed in the clinically demanding domains of Selected Drug and Regimen. Critically, in the Selected Drug domain, there was complete agreement between the two expert raters for neither system. This severe lack of concordance signifies that clinicians assigned different adequacy ratings to the same output in every case, reflecting ambiguity, lack of specificity, and inconsistent clinical interpretability of the drug-related information provided by LLMs. Conclusions: While LLMs possess the capacity for high-level reasoning and strategic planning, their inability to translate principles into precise, consistent, and clinically interpretable therapeutic plans—particularly regarding drug selection and treatment regimens—is a significant constraint. These deficiencies, highlighted by the minimal expert concordance in critical domains, necessitate rigorous clinical validation before the responsible integration of LLMs into the management of this uniquely vulnerable patient population. Full article

Myeloid/lymphoid neoplasms with tyrosine kinase rearrangements (MLN-TKs) are rare clonal eosinophilias driven by PDGFRA, PDGFRB and other kinase fusions, highly sensitive to tyrosine kinase inhibitors. Their detection remains challenging, particularly for cryptic PDGFRA rearrangements. We performed a large multicenter real-world validation of the generic quantitative RT-PCR assay (gPDGFR), which detects 3′ PDGFRA/PDGFRB overexpression independently of fusion partner. A total of 231 consecutive patients with hypereosinophilia from 12 French centers were analyzed, and assay robustness was further assessed in an independent heterogeneous cohort of 102 tyrosine kinase inhibitor (TKI)-treated patients. Twenty-two PDGFR-rearranged cases (14 PDGFRA-r, 8 PDGFRB-r) were identified. The assay demonstrated 100% sensitivity and 100% negative predictive value. For PDGFRA, positive predictive value and specificity reached 100%. In contrast, PDGFRB overexpression showed lower specificity due to borderline false-positive cases, underscoring the need for confirmatory testing. In selected patients, longitudinal gPDGFR kinetics paralleled fusion-specific RT-qPCR, supporting its use for molecular follow-up when dedicated assays are unavailable, although it does not provide quantitative measurable residual disease assessment. Overall, gPDGFR represents a robust, partner-independent first-line screening strategy that can be readily integrated into routine diagnostic workflows to enable timely identification of patients eligible for targeted therapy. Full article