Wiley

British Journal of Haematology

Published by Wiley and British Society for Haematology

Online ISSN: 1365-2141

·

Print ISSN: 0007-1048

Disciplines: Hematology

Journal websiteAuthor guidelines

Top-read articles

292 reads in the past 30 days

Hoffbrand's Essential Haematology, 9th ed.by A. V. Hoffbrand, P. Chowdary, G. Collins and J. Loke, Wiley Blackwell, 2024. 490 pages. ISBN: 9781394168156

July 2024

·

1,832 Reads

View access options

96 reads in the past 30 days

Complete haematologic response (CHR) and reduction in JAK2V617F variant allele frequency (VAF) with ropeginterferon alfa‐2 treatment. (A) CHR and median JAK2V617F VAF at different assessment visits over 24 months of treatment. (B) Kaplan–Meier plot showing the durability of CHR. (C) Proportion of patients with JAK2V617F with VAF <1% or <10% in the extension study.
Molecular remission uncoupled with complete haematological response in polycythaemia vera treatment with ropeginterferon alfa‐2b

October 2024

·

109 Reads

Shanshan Suo

·

Rong Feng Fu

·

·

[...]

·

Jie Jin

Aims and scope


An official journal of the British Society for Haematology, the British Journal of Haematology offers your research high visibility, receiving nearly 5 million article downloads annually. Content is delivered through a range of article types, including Original Papers, Reviews, BSH Guidelines, Images, and Wider Perspectives and Global View papers. The journal covers every specialism within haematology and welcomes high quality papers not just in clinical practice, but in the fields of basic science, translational research, and developments in haematology science. With fast turnaround times and personalized feedback from experts in the field, we provide a friendly submissions process that works collaboratively across haematology so every submitted paper has a home.

Recent articles


None correlation is found between dPCR measurements of CAR T‐cells in PB and CAR copies/μL in different follow‐up days. CAR, chimeric antigen receptor; cfDNA, cell‐free DNA; dPCR, digital PCR; PB, peripheral blood.
Boxplot of CAR copies (left figure) and JAK2 copies (right figure). In green, the gene copies of non‐relapsed patients are expressed, while light‐red colour represents relapsed patients within 6 months. The top of the figure displays the p‐values indicating differences between the non‐relapsed and relapsed groups. CAR, chimeric antigen receptor.
The left side displays the constructed receiver operating characteristic curve with the chosen cut‐off of CAR‐cfDNA copies highlighted in red, representing the best sensitivity–specificity equilibrium. On the right side, the survival curve of CAR T‐cell treated patients is depicted. Non‐relapsed patients are shown in green, while relapsed patients are represented in light red. AUC, area under the curve; CAR, chimeric antigen receptor; cfDNA, cell‐free DNA.
Chimeric antigen receptor copies in cell‐free DNA predict relapse in aggressive B‐cell lymphoma patients treated with CAR T‐cell therapy
  • Article
  • Publisher preview available

December 2024

Ismael de la Iglesia‐San Sebastián

·

Miguel López‐Esteban

·

Mariana Bastos‐Oreiro

·

[...]

·

Carolina Martínez‐Laperche

Chimeric antigen receptor (CAR) T‐cell therapy has emerged as a transformative treatment for aggressive B‐cell lymphomas (ABCL), However, about half of patients relapse, most of them early. This study investigates the detection of CAR copies in circulating cell‐free DNA (cfDNA) as a potential predictive biomarker of early relapse (<6 months) to improve patient management. In this research, we have consecutively selected 73 ABCL patients treated with anti‐CD19 CAR T‐cells, analysing CAR levels in peripheral blood and other clinical variables. Our results indicate that no correlation is present between genomic DNA and cfDNA; moreover, higher levels of CAR‐cfDNA on day +14 after infusion (0.44 vs. 0.07; p = 0.019) are associated with improved 6‐month progression‐free survival rates (74.2% vs. 26%. p < 0.01), suggesting that CAR‐cfDNA could be a strong predictor of CAR T‐cell therapy short‐term outcomes. These findings underscore the potential of integrating CAR‐cfDNA analysis into routine clinical practice to enhance the prognostic accuracy and therapeutic strategies for ABCL patients undergoing CAR T‐cell therapy.


Acalabrutinib in combination with rituximab and lenalidomide in patients with relapsed or refractory follicular lymphoma: Results of the phase 1b open‐label study (ACE‐LY‐003)

Paolo Strati

·

Richy Agajanian

·

Izidore S. Lossos

·

[...]

·

Deborah M. Stephens

Patients with relapsed/refractory (R/R) follicular lymphoma (FL) have limited effective treatment options. Bruton tyrosine kinase inhibitors (BTKis) increase the anti‐tumoural phenotype of tumour‐associated macrophages, providing rationale to combine them with rituximab and lenalidomide (R²). Acalabrutinib, a second‐generation BTKi, has potential to improve R² efficacy without increasing T‐cell–mediated toxicity due to its lack of interleukin‐2–inducible T‐cell kinase inhibition. Here, we report safety and efficacy from a phase 1b dose‐finding study (NCT02180711) evaluating acalabrutinib plus R² in patients with R/R FL. Overall, 29 patients received acalabrutinib plus R² (lenalidomide 15 mg, n = 8; lenalidomide 20 mg, n = 21). At a median acalabrutinib exposure of 21 months, the most common grade ≥3 treatment‐emergent adverse event (TEAE) was neutropenia (37.9%). The incidence of grade ≥3 serious TEAEs was 37.5% and 52.4% in the lenalidomide 15‐mg and 20‐mg cohorts, respectively; overall, the most common were COVID‐19 pneumonia, COVID‐19 infection and pneumonia. Earlier treatment withholdings/reductions were observed in the 20‐mg cohort. With a median follow‐up of 34.1 months, the overall response rate was 75.9%. The complete response rate was 25.0% and 42.9% in the lenalidomide 15‐ and 20‐mg cohorts, respectively. Due to acceptable toxicity and preliminary efficacy, the lenalidomide 20‐mg dose was selected for further investigation.


Image preprocessing and visualization in deep learning (DL) model construction. (A) The workflow of image preprocessing in DL model construction. (B) Representative images of visualization of activated maps from the DL model using gradient‐weighted class activation mapping.
Development of the clinical model and fusion model dealing with missing values. A logistic regression model was used to build the clinical model score (CMS) and fusion model score. The values of parameters for each clinical variable are shown in the tables.
Performances of the clinical, DL, and fusion models in MPN subtypes identification in the combined validation cohort. The ROC curves, sensitivities, specificities and accuracies of three models on PV (A, B), ET (C, D), prePMF (E, F) and overt PMF (G, H) diagnosis in the combined validation cohort. DL, deep learning; ET, essential thrombocytosis; MPN, myeloproliferative neoplasm; ns, no significance; prePMF, prefibrotic primary myelofibrosis; PV, polycythaemia vera.
Confusion matrices and misclassified cases in the clinical, DL and fusion models in myeloproliferative neoplasm subtype identification. Confusion matrices show diagnostic errors on PV (A), ET (C), prePMF (E) and overt PMF (G) for the three models. Number of misclassified cases into PV (B), ET (D), prePMF (F) and overt PMF (H) group from each subtype in the three models. DL, deep learning; ET, essential thrombocytosis; ns, no significance; prePMF, prefibrotic primary myelofibrosis; PV, polycythaemia vera.
Comparison of the proposed diagnosis models with haematopathologists with different experience levels. The AUCs, sensitivities and specificities of the proposed models and haematopathologists with different experience levels in PV (A), ET (B), prePMF (C) and overt PMF (D) diagnosis. AUC, area under curve; ET, essential thrombocytosis; ns, no significance; prePMF, prefibrotic primary myelofibrosis; PV, polycythaemia vera.
Development and validation of a deep learning model for morphological assessment of myeloproliferative neoplasms using clinical data and digital pathology

December 2024

·

6 Reads

Rong Wang

·

Zhongxun Shi

·

Yuan Zhang

·

[...]

·

Jianyong Li

The subjectivity of morphological assessment and the overlapping pathological features of different subtypes of myeloproliferative neoplasms (MPNs) make accurate diagnosis challenging. To improve the pathological assessment of MPNs, we developed a diagnosis model (fusion model) based on the combination of bone marrow whole‐slide images (deep learning [DL] model) and clinical parameters (clinical model). Thousand and fifty‐one MPN and non‐MPN patients were divided into the training, internal testing and one internal and two external validation cohorts (the combined validation cohort). In the combined validation cohort, fusion model achieved higher areas under curve (AUCs) than clinical or DL model or both for MPNs and subtype identification. Compared with haematopathologists with different experience, clinical model achieved AUC which was comparable to seniors and higher than juniors (p = 0.0208) for polycythaemia vera. The AUCs of fusion model were comparable to seniors and higher than juniors for essential thrombocytosis (p = 0.0141), prefibrotic primary myelofibrosis (p = 0.0085) and overt primary myelofibrosis (p = 0.0330) identification. In conclusion, the performances of our proposed models are equivalent to senior haematopathologists and better than juniors, providing a new perspective on the utilization of DL algorithms in MPN morphological assessment.


Categories of main sample groups used in this study. HSCT, haematopoietic stem cell transplantation; SCD, sickle cell disease.
(A) Autofluorescence (n = 130) and non‐specific fluorescence of erythrocytes with 2° only staining. Solid line = median, dashed lines = 25th and 75th quartiles (HbAA = 172, non‐HbAA = 226). (B) Stability of GNL + PE complex over time (n = 7). (C) Comparison of HMG staining in PBS and in‐house buffer. Data given as mean ± SD for samples analysed in duplicates. (D) Stability of blood samples over time (n = 5–13); day 0 = blood collection day. GNL, Galanthus nivalis lectin; HMG, high mannose glycan; PBS, phosphate‐buffered saline; RT, room temperature; SD, standard deviation.
(A) Representative flow cytometry GNL + PE fluorescence histogram profile of HbAA, HbSS and splenectomy samples. (B) Levey‐Jennings plot showing HbAA samples' GNL fluorescence distribution (n = 191); outliers denoted by red “×”. (C) ROC analysis of HMG expression data. AUC, area under curve; FPR, false‐positive rate; GNL, Galanthus nivalis lectin; HMG, high mannose glycan; ROC, receiver‐operating characteristic; SD, standard deviation; TPR, true‐positive rate.
(A) Representative DIC microscopy images of erythrocyte samples fixed in 2% paraformaldehyde. Scale bar = 10 μm. (B) Correlation of erythrocyte pits with HMG expression. Dashed line = +3SD = 36%, dotted line = normal threshold = 4%. DIC, differential interference contrast; HMG, high mannose glycan; SD, standard deviation.
(A) Correlation of HMG expression with white blood cell count in HbSS under hydroxycarbamide (HC) therapy (n = 176). (B) Relationship between HMG expression in HbSC samples and MCH (n = 22); vertical line = α‐thalassaemia cut‐off = 25 pg. (C) Percentage difference of HMG MFI normalised to HbAA for glucose‐6‐phosphate dehydrogenase (G6PD) deficiency (n = 6), iron deficiency (n = 4), paroxysmal nocturnal haemoglobinuria (PNH; n = 1) and hereditary spherocytosis (HS; n = 2). (D) Comparison of different conditions with underlying SCD, HbSS samples included for comparison, dotted line = mean HMG % difference of HbSS samples. Dashed line = +3SD = 36%. HMG, high mannose glycan; MCH, mean corpuscular haemoglobin; MFI, mean fluorescence intensity; SD, standard deviation.
Development of a novel test of splenic function for use in a clinical diagnostic laboratory

Azalea A. Khan

·

Claire E. Laas

·

John N. Brewin

·

[...]

·

David C. Rees

The spleen is prone to both physical damage and functional impairment, which can be difficult to detect before catastrophic complications occur. Currently available tests of splenic function are laborious, user‐dependent and unreliable, so there is an unmet need for a reliable test offered routinely in diagnostic laboratories. In this study, we have assessed a simple flow cytometry‐based method measuring high mannose glycans (HMGs) on erythrocytes, which has previously been proposed as a potential test of splenic function. We developed the test as a diagnostic assay using blood from a range of control and potentially hyposplenic samples, including people with sickle cell disease. HMG expression correlated well with manual pit counting, an established method for assessing splenic function (r = 0.6). A threshold of >36% difference compared to the mean of control samples was used to define hyposplenism. At this threshold, the test is 93% sensitive and 100% specific for detecting splenic dysfunction. The test was highly reproducible and stable in blood samples of up to 4 days old. This test is non‐invasive with quantitative data output and requires significantly less operator time than other available techniques, making it a robust new clinical assay for determining splenic function.


Illustrations of TRAP‐6‐activated, CD62P‐positive platelets (left panel) and resting, CD62P‐negative platelets (right panel). The platelets were viewed in the bright‐field channel and in the CD62‐BV421, CD41a‐FITC and CD42b APC channels.
The ability of morphometric features to distinguish between resting and activated platelets. Using IFC, the mean variations in each morphometric feature (area (A), circularity (B), contrast (C), diameter (D), major axis (E) and modulation (F)) were measured in the baseline resting state (control) and the TRAP‐6‐activated state (n = 21). ****: P‐value <0.0001, ***: P‐value <0.001, ns, not significant.
The value of IFC‐derived morphometric features for HIT diagnosis. Variations in morphometric features (area: A–B, circularity: C–D, contrast: E–F, diameter: G–H and major axis: I–J, modulation: K–L) with low‐dose UFH are shown on the left (A, C, E, G, I and K), and those with high‐dose UFH are shown on the right (B, D, F, H, J and L) (n = 28 positive HIT patients tested once and n = 14 negative HIT patients tested twice). True positives and negatives are shown as filled circles, whereas false positives and negatives are shown as open squares or triangles respectively. The dashed lines indicate the positivity threshold. ****: P‐value <0.0001, ns: not significant.
Comparison of the CD62P positivity rates at various heparin concentrations for patients diagnosed with HIT versus patients without HIT. The bee‐swarm plot illustrates the percentage of platelets expressing CD62P for (A) patients diagnosed with HIT versus (B) patients without HIT at various UFH concentrations (H0, H1, H500) (n = 28 positive HIT patients tested once and n = 14 negative HIT patients tested twice). True positives and negatives are represented by filled circles, whereas false positives and negatives are shown as open squares or triangles respectively. The dashed lines represent the positivity threshold. H0: No UFH; H1: A UFH concentration of 1 IU/mL; H500: A UFH concentration of 500 IU/mL. ****: P‐value <0.0001, ***: P‐value <0.001, **: P‐value <0.01, *: P‐value <0.05, ns, not significant.
Reproducibility of HIT diagnosis using morphometric features across diverse platelet donors. Variations in morphometric features (area: A, B, circularity: C, D, contrast: E, F, diameter: G, H, major axis: I, J and modulation: K, J) with low‐dose UFH are shown on the left (A, C, E, G, I and K), and those with high‐dose UFH are shown on the right (B, D, F, H, J and L) (n = 6). All six platelet donors were tested using the same plasma from HIT patient number 1. Each random platelet donor is shown as a colour‐filled symbol. True positives are shown as filled circles, whereas false negatives are shown as filled triangles. The star symbol corresponds to the good responder platelet donor used within Figure 3. The dashed lines indicate the positivity threshold.
Imaging flow cytometry as a novel approach for the diagnosis of heparin‐induced thrombocytopenia

December 2024

·

9 Reads

Julie Carré

·

Yohann Demont

·

Christine Mouton

·

[...]

·

Julien Demagny

Heparin‐induced thrombocytopenia (HIT) is an adverse reaction characterized by anti‐PF4‐heparin antibody generation and hypercoagulability. Imaging flow cytometry (IFC) provides a detailed morphological analysis of platelets, which change upon activation. We evaluated IFC‐derived morphometric features to detect platelet activation and developed a functional assay for HIT diagnosis. We analysed blood samples from 42 patients with suspected HIT and extracted platelet size, shape and texture features using IFC. The morphological features were compared with CD62P expression, light transmission aggregometry (LTA) and a serotonin release assay (SRA) in terms of their ability to predict a HIT diagnosis. Five IFC‐derived morphological features (area, circularity, contrast, diameter and major axis) significantly distinguished resting from activated platelets. The major axis feature performed best for HIT diagnosis, with a sensitivity of 89.3% and a specificity of 92.9% versus functional assays (LTA/SRA); this diagnostic performance was similar to that of CD62P expression on the same platelet donors. The area and diameter had similar specificity (92.9%) and a slightly lower sensitivity (85.7%). The morphological features associated with platelet activation might be effective markers for the diagnosis of HIT, matching platelet CD62P expression assay performance. The high‐throughput IFC exploration of platelet activation offers new perspectives in label‐free analysis and time‐saving.


Flowchart of patient inclusion for thrombocytopenia cases only (n = 59). MRI, Manchester Royal Infirmary; RMCH, Royal Manchester Children's Hospital.
Platelet count nadir and genetic test result of overall, adult and children cases. *p < 0.05, **p < 0.01, ns = not significant.
Service evaluation of R90 bleeding and platelet disorders gene panel in thrombocytopenia cases

December 2024

·

10 Reads

This study examines the R90 bleeding and platelet disorders gene panel's utility in thrombocytopenia. The study analysed the correlations between the clinical features of patients with thrombocytopenia and genetic outcomes. The diagnostic yield was 46.6% (41/88) for the overall panel for all patients referred locally. Thrombocytopenia >12 months (95% CI = 19.0–191.0, p < 0.01), having a first‐degree relative with thrombocytopenia (16 vs. 7, p < 0.01) and a higher platelet count nadir (67.9 ± 35.0 vs. 39.4 ± 33.9 × 10⁹/L, p < 0.05), were associated with genetic variants, suggesting these as indicators for genetic testing. This supports the R90's role in refining genetic testing criteria in thrombocytopenia.


Evolution of CHIP to myeloid neoplasms. Most patients with CHIP do not develop myeloid neoplasia. However, the risk of transformation increases with the acquisition of certain clinical features, such as clonal CCUS, clonal monocytosis of undetermined significance or clonal cytopenia(s) and monocytosis of undetermined significance. Both intrinsic and extrinsic factors related to CHIP may contribute to the progression of myeloid disease. AML, acute myeloid leukaemia; CCUS, clonal cytopenia (s) of undetermined significance; CHIP, clonal haematopoiesis of indeterminate potential; DNA, deoxyribonucleic acid; HSC, haematopoietic stem cell; MDS, myelodysplastic neoplasm.
A blueprint for pursuing therapeutic interventions and early phase clinical trials in clonal haematopoiesis

December 2024

·

7 Reads

·

1 Citation

The age‐associated mutational state of clonal haematopoiesis (CH) is linked to multiple adverse health outcomes. As higher risk CH can lead to progressive neoplastic or vascular disease, there is interest in developing clinical trials to mitigate risk associated with CH. Given the high prevalence of CH, data from clinical trials could have broad public health implications for screening and therapy. Thoughtful consideration is needed to design trials that are both clinically relevant and avoid overmedicalization. Here, we summarize clinical studies of CH to date and provide suggestions and guidance on how to approach designing CH‐focused therapeutic clinical trials. These recommendations are derived from discussions among clinical researchers and scientists emanating from the Inaugural Meeting on Somatic Mutations and Predisease in October 2021.


Drafting a blueprint for designing successful clinical trials in clonal haematopoiesis

‘As our understanding of the biology of clonal hematopoiesis expands, a pressing need in the field becomes the design and implementation of clinical trials to help mitigate the risk for progression to overt myeloid neoplasm. Effective clinical trial design will be informed by use of personalized genetic risk to determine eligibility, strategic endpoint selection, and identification of suitable interventions with a goldilocks balance of toxicity and reduced risk of progression. We will only reach this milestone through collaboration’. Commentary on: Haque et al. A blueprint for pursuing therapeutic interventions and early phase clinical trials in clonal haematopoiesis. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19925.




To err is human … so how can we prevent all ABO‐incompatible transfusions?

Savin et al. report a retrospective analysis of ABO‐incompatible red cell transfusions in the United Kingdom, France and Germany. In spite of varied strategies for bedside preventative measures, all three countries continue to identify preventable errors leading to ABO‐incompatible red cell transfusions. This report highlights the ongoing challenge of human error as a factor in the persistence of preventable mistransfusions. Commentary on: Savin et al. Frequencies and causes of ABO‐incompatible red cell transfusions in France, Germany and the United Kingdom. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19848.


Iron overload in hereditary spherocytosis: Are genetic factors the cause?

December 2024

·

6 Reads

Non‐transfusional iron overload (IOL) in hereditary spherocytosis (HS) is poorly documented compared with other red blood cell disorders. We studied 13 HS adults with confirmed IOL to identify potential genetic factors. Using a next‐generation sequencing panel of 46 genes related to HS, anaemia and iron metabolism, we found no association between IOL and the genes involved in HS nor the HFE:p.(Cys282Tyr) variant responsible for hereditary haemochromatosis. However, potential genetic factors contributing to IOL were identified in some patients, including variants in HJV (haemojuvelin), SLC40A1 (ferroportin), PKLR (pyruvate kinase), ABCG5 and ABCB8, highlighting the need for larger studies.



Flowchart comparing the previous study and the current study.
The mutational landscape of the top 20 genes detected in 849 MBN patients in the previous study and 872 newly diagnosed MBN patients in the current study.
Comparison of the models based on local databases and those based on the Catalogue of Somatic Mutations in Cancer (COSMIC) database. (A) Line column diagram showing the number of cases correctly and incorrectly predicted by the models, along with the accuracy of the models. (B) Venn diagram showing the intersection of markers in each model feature selection. (C) Heatmap showing the prediction accuracy for MBN subtypes.
Multiplatform detection combined with machine learning (ML) model‐improved MBN subtype prediction. (A) Model accuracy of Local IA, Local IB, Local IIA, Local IIB, Local IIIA and Local IIIB. (B) Venn diagram of model feature selection for Local IB, Local IIB and Local IIIB. (C) Individual plots of large B‐cell neoplasms. The samples are represented by dots. Each colour represents a group of patients. Vectors represent the contribution of >1 variable for each of the principal components. (D) Individual and variable plots of CD5‐negative small B‐cell neoplasms. (E) Individual and variable plots of CD5‐positive small B‐cell neoplasms. (F) Polar heatmap showing the prediction accuracy for each MBN subtype.
The decision tree assists in uncovering the potential classification process of MBN subtypes. −, negative; +, positive; F, number of misclassified patients; Num, number of MBN patients; T, number of correctly classified patients.
Machine learning based on multiplatform tests assists in subtype classification of mature B‐cell neoplasms

Mature B‐cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The WHO classification (morphology, immunology, cytogenetics and molecular biology) provides comprehensive diagnostic understandings. However, MBN subtyping relies heavily on the expertise of clinicians and pathologists, and differences in clinical experience can lead to variations in subtyping efficiency and consistency. Additionally, due to the diversity in genetic backgrounds, machine learning (ML) models constructed based on Western populations may not be suitable for Chinese MBN patients. To construct a highly accurate classification model suitable for Chinese MBN patients, we first developed an ML model based on next‐generation sequencing (NGS) from Chinese MBN patients, with an accuracy of 0.719, which decreased to 0.707 after model feature selection. Another ML model based on NGS and tumour cell size had an accuracy of 0.715, which increased to 0.763 after model feature selection. Both models were more accurate than models constructed using Western MBN patient databases. Furthermore, by adding flow cytometry for CD5 and CD10, the accuracy reached 0.864, which further improved to 0.872 after model feature selection. These models are accessible via an open‐access website. Overall, ML models incorporating multiplatform tests can serve as practical auxiliary tools for MBN subtype classification.


Contextualizing prophylactic red blood cell antigen matching in the lifelong care of sickle cell disease and thalassaemia patients

Alloimmunization to minor red blood cell antigens has been linked to patient morbidity and mortality, especially among people living with sickle cell disease and transfusion‐dependent thalassaemia. Prophylactic antigen matching is commonly used to prevent alloimmunization, but the evidence supporting this common practice is very limited. The report by Wolf et al. summarizes the latest literature on this topic and importantly finds that there is insufficient evidence to recommend prophylactic extended antigen matching (beyond ABO, RhD, RhCcEe and K). In an era of chronic blood shortages, this approach may help to assure patient access to elective surgery and cellular therapies, while preserving the supply of extensively antigen‐matched red cells for patients with specific needs. Commentary on: Wolf et al. Red cell specifications for blood group matching in patients with haemoglobinopathies: An updated systematic review and clinical practice guideline from the International Collaboration for Transfusion Medicine Guidelines. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19837


Clinical perspectives on post‐induction maintenance therapy in patients with acute myeloid leukaemia in remission who are ineligible for allogeneic haematopoietic stem cell transplantation

For patients with acute myeloid leukaemia (AML) who achieve complete remission (CR) after induction therapy, subsequent allogeneic haematopoietic stem cell transplantation (allo‐HSCT) reduces the risk of relapse. However, not all patients are eligible, warranting effective alternative maintenance strategies. Oral azacitidine is the only non‐targeted therapy approved by both the United States (US) Food and Drug Administration and the European Medicines Agency for the maintenance or continued treatment of allo‐HSCT‐ineligible patients with AML achieving CR or CR with incomplete haematological recovery following induction chemotherapy. Midostaurin and histamine dihydrochloride are approved in Europe as maintenance therapy for AML in remission, and quizartinib is approved in the United States and Europe for the treatment and maintenance of patients with newly diagnosed FLT3‐ITD AML. Barriers to maintenance treatment include limited clinical trial data informing appropriate patient and treatment selection, patient preference, financial burden and paucity of real‐world data. This article discusses current maintenance treatment guidelines for patients with AML in remission but not proceeding to allo‐HSCT and reviews clinical trial data for agents approved for use in remission. Ongoing studies of interest and considerations for future efforts are also discussed.


Advances and challenges in chimeric antigen receptor‐natural killer cell immunotherapy for cancer

CAR‐NK cell therapy is an emerging immunotherapy for cancer. Recent advancements in genetic engineering have improved their antitumour efficacy through strategies such as dual‐targeting CARs, cytokine armouring and logic gating to minimize fratricide and off‐target effects. Gene‐editing approaches, including checkpoint deletion and overexpression of key effector molecules, further enhance their persistence and cytotoxicity. Additionally, the availability of diverse NK cell sources, such as peripheral blood, umbilical cord blood, CD34⁺ haematopoietic stem and progenitor cells, and iPSCs, offers scalability and flexibility for clinical applications. These innovations position CAR‐NK cells as a versatile and potent therapeutic platform for treatment‐resistant malignancies. image


Hepatitis E virus infection after CAR T‐cell treatment: An important complication in patients already facing significant health challenges

Cancer patients with haematological malignancies are at risk for chronic hepatitis E virus infection following chimeric antigen receptor (CAR) T‐cell therapy. Strong clinical suspicion is essential for the early diagnosis and prompt treatment of this difficult‐to‐treat type of viral hepatitis. Commentary on: Schwarz et al. Chronic hepatitis E in a patient after CAR‐T cell treatment for diffuse large B‐cell lymphoma and rapid progression towards decompensated liver cirrhosis. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19892.


Overall survival, p = 0.065.
Progression‐free survival, p = 0.414.
Autologous stem cell transplantation for multiple myeloma patients whose myeloma‐defining event was SLiM

November 2024

·

34 Reads

In 2014, the International Myeloma Working Group (IMWG) updated the criteria for diagnosing myeloma and added three additional criteria to the traditional Calcium elevation, Renal impairment, Anemia, Bone disease (CRAB) criteria, called the Sixty % marrow plama cells, Light chain ratio >60, Mri demonstates lytic lesions (SLiM) criteria (clonal bone marrow plasma cells ≥60%, involved to uninvolved free light chain ratio (FLCr) ≥100 and >1 focal lesion on magnetic resonance imaging (MRI)). We report on the outcomes of 30 patients who underwent autologous stem cell transplantation (ASCT) where therapy was initiated solely based on SLiM criteria and compared them to a matched cohort of 60 patients whose myeloma‐defining event was CRAB. The SLiM cohort had a shorter median time to neutrophil (15 vs. 16 days, p = 0.049) and platelet (15 vs. 17 days, p = 0.0004) engraftment. The 36‐month overall survival (OS) was 100% in the SLiM group and 93.27% in the control group (95% CI 83.06%–97.42%), with a trend towards longer OS in the SLiM cohort (p = 0.065). The 36‐month progression‐free survival (PFS) was 91.61% in the SLiM (95% CI 69.93%–97.87%) and 65.95% in the control group (95% CI 52.31%–76.53%). There was no difference in the PFS between the cohorts (p = 0.414). ASCT is efficacious and safe in MM patients transplanted only due to SLIM criteria. Early intervention in this asymptomatic cohort did not appear to result in deeper responses or better PFS compared to outcomes in symptomatic patients.


Work flow of the high‐throughput sequencing data reanalysis design. Children with anaemia were subjected to genetic procedure, including high‐throughput sequencing and test for thalassaemia. Selected high‐throughput sequencing data were reanalysed and EPAS1 variants were identified in three patients. gap‐PCR, gap‐polymerase chain reaction; HB, haemoglobin; HLPA, high‐throughput ligation‐dependent probe amplification; LP, likely pathogenic; P, pathogenic; WES, whole‐exome sequencing.
Identification of variants in three pedigrees with anaemia. (A–C) Diagrams and DNA sequences of three pedigrees identifying three variants in EPAS1 (NM_001430.5), c.1681delC; c.1649G>T; and c.787_788delGA, respectively, and a variant in STX1B (NM_052874.5), c.715T>C. (D) Distribution of mutations in EPAS1 classified as likely pathogenic and pathogenic reported in the Human Genome Mutation Database and ClinVar. The mutations leading to familiar erythrocytosis type 4 are indicated in grey. The mutations related to anaemia from previous literature and our study are indicated in blue and red severally. bHLH, basic helix–loop–helix; CTAD, C‐terminal transactivation domain; ID, inhibitory domain; NLS, nuclear localization sequence; NTAD, N‐terminal transactivation domain; ODDD, oxygen‐dependent degradation domain; PAS‐A, Per‐ARNT‐Sim‐A; PAS‐B, Per‐ARNT‐Sim‐B.
Clinical features of the patients. (A) Representative image of contrast‐enhanced CT examination of patient 2. The red and yellow arrowhead indicates ventricular septal defect and patent foramen ovale respectively. LA, left atrium; LV, left ventricle; RA, right atrium; RV, right ventricle. (B) Distribution of haemoglobin plot serum erythropoietin levels of the probands and healthy families of pedigree 1 and 3 in this study and previous report.¹² The liner regression line between haemoglobin and serum erythropoietin was reported in a previous research.²⁵ The distribution area of the probands and their healthy families were shown in pink and green respectively. (C) Reticulocytes of pedigree 1 and 3.
EPAS1 mutations show the defects of the steady‐state protein abundance, nuclear localization and binding with co‐activator. (A) Ectopic expression of wild‐type and mutant EPAS1 in HEK 293T cells. The band intensities were measured and normalised to those of GAPDH. Data were compiled from four independent experiments. (B) Cytoplasm and nucleus protein isolation of ectopic expression of wild‐type and mutant EPAS1 in HEK 293T cells. (C) Fluorescence co‐localization analysis and representative images of ectopic expression of wild‐type and mutant EPAS1 in Hela cells to show nuclear localization stained for Flag (green, indicating HIF‐2α) and co‐stained for DAPI (blue, indicating nucleus). Data were compiled from three independent experiments. (D, E) Detection of protein binding with ARNT and CBP of wild‐type and mutant HIF‐2α by Co‐immunoprecipitation. Data were compiled from three independent experiments. EV, empty vector; IP, immunoprecipitation; WCL, whole cell lysis; WT, wild type.
The decreased transcriptional activation caused by EPAS1 variants. (A) The luciferase activation of HRE reporter of wild‐type and mutant EPAS1 in HEK 293T cells. Data were compiled from three independent experiments. (B) The EPO expression caused by ectopic expression of wild‐type and mutant EPAS1 in Hep3B2.1–7 cells. Data were compiled from three independent experiments. (C) Illustration of normocytic and normochromic anaemia caused by HIF‐2α mutants in an EPO‐dependent manner. EPO, erythropoietin; EV, empty vector; HRE, hypoxia response element; RBC, red blood cell; WT, wild type.
Elucidating loss‐of‐function mechanisms of monoallelic EPAS1 mutations underlying congenital hypoplastic anaemia in a paediatric anaemia cohort

November 2024

·

18 Reads

HIF‐2α, encoded by EPAS1, plays a dominant role in regulating erythropoietin (EPO) production, maintaining the dynamic balance of erythropoiesis. Gain‐of‐function mutations in EPAS1 cause erythrocytosis. However, anaemia caused by EPAS1 loss‐of‐function mutations has been confined to only one case report, and the underlying mechanism remains unclear. Herein, the reanalysis of high‐throughput sequencing data from 311 patients with anaemia identified three monoallelic EPAS1 variants from three unrelated families in a paediatric anaemia cohort. The probands showed highly consistent clinical phenotypes with normocytic and normochromic anaemia, reticulocytopenia and relative deficiency of serum EPO, characterised as congenital hypoplastic anaemia. In vitro studies suggested that defects in steady‐state protein abundance, nuclear localisation and binding with co‐activator in EPAS1 variants lead to impaired EPO transcriptional activation. Therefore, loss‐of‐function mutations in EPAS1 can cause erythroid hypoplasia in an EPO‐dependent manner. This study identified a new causative gene for congenital hypoplastic anaemia and clarified the molecular aetiology of loss‐of‐function EPAS1 mutations.



A successful clinical trial ecosystem offers equal opportunities for all citizens

An inclusive clinical trial ecosystem is essential to obtain scientific results that can be generalized to a broad patient population. When possible, all efforts should be made to remove geographic, demographic, cultural and ethnic barriers for enrolment in clinical trials. However, to do this effectively, we need more knowledge about factors influencing clinical trial participation and practical frameworks to enhance diversity in clinical trials. Commentary on: Jones et al. Inequalities in geographic barriers and patient representation in lymphoma clinical trials across England. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19907.


Number of patients recruited each year by lymphoma diagnostic subtype.
Mean annual percentage of lymphoma patients recruited by each positively recruiting NHS Trust weighted by the size of their catchment annual incident population.
Distance from each LSOA to nearest ‘research active’ NHS Trust under definition (1): An NHS Trust that recruited more than the median of average annual trust recruitment weighted by annual trust incidence. LSOA, layer super output area.
Distribution of total travel times to nearest ‘research active’ NHS Trust under definition (1), including excess distance where the ‘research active’ NHS Trust is not the closes lymphoma treating NHS Trust. DLBCL, diffuse large B‐cell lymphoma; LSOA, layer super output area.
Inequalities in geographic barriers and patient representation in lymphoma clinical trials across England

November 2024

·

12 Reads

·

1 Citation

The distribution of trial site locations may lead to disparities in geographic access and affect patient representativeness in clinical trials. We utilised trial data covering 1993–2022 from the National Institute for Health and Care Research (NIHR) Open Data Platform, 2011 and 2021 English Census and geographic data and English individual‐patient cancer registry data for patients diagnosed with lymphoma between 1997 and 2017. To assess representation, we compared patient age and sex between trial participants and the incident population. We mapped the distance and travel times of English lower layer super output areas (LSOAs) to their nearest research active NHS Trusts and assessed associations between distance and travel times and the geographic and sociodemographic characteristics of the LSOAs. Trial participants were younger than the incident population and more likely to be male. The closest NHS Trust to more than half of English LSOAs was not research active. Greater LSOA mean age, male percent, White British percent, rurality and coastal/border status were positively associated with distance and travel time (at prespecified p < 0.05 level), while greater deprivation was negatively associated. Female and older lymphoma patients in England are underrepresented in trials, with the latter facing a higher burden of geographic barriers.


The results of the Functional Assessment of Cancer Therapy‐General (FACT‐G) questionnaires at each of the different time‐points for the two‐arm study. The graphs for the mean scores at each time point in each arm are shown in: (A) physical well‐being, (C) social or family well‐being, (E) emotional well‐being and (G) functional well‐being. The difference in mean scores at each time points between the arms is shown in: (B) physical well‐being, (D) social or family well‐being, (F) emotional well‐being and (H) functional well‐being.
The hospital anxiety and depression scale (HADS) questionnaire results at each time point in the two‐arm study. (A) Shows the percentage of patients who scored as either normal, borderline or case for the anxiety subscale in the two study arms at each time point. (B) Shows the comparison of baseline anxiety score to the Month 7, 13, 25 and 37 scores and the percentage of patients whose score was classified as having either ‘improved/stayed as normal’ or ‘other’. ‘Other’ means that the score did not improve/stay as normal. (C) Shows the percentage of patients who scored as either normal, borderline or case for the depression subscale in the two study arms. (D) Shows the comparison of baseline depression score to the Month 7, 13, 25 and 37 scores and the percentage of patients whose score was classified as having either ‘improved’/stayed as ‘normal’ or ‘other’.
The results of the additional concerns questionnaires at each of the different time points for the two‐arm study. There were five possible answers to each question (very much; quite a bit; somewhat; a little bit or not at all). The percentage of patients in each arm giving each answer to question 1 (A), question 2 (C), question 3 (E) and question 4 (G) at each time point is shown. The change in score from baseline to each time point for each arm is shown for question 1 (B), question 2 (D), question 3 (F), and question 4 (H).
Quality of life in advanced‐stage, asymptomatic, non‐bulky follicular lymphoma treated with rituximab shows significant improvement compared with watchful‐waiting

November 2024

·

25 Reads

Traditionally, patients with asymptomatic, advanced‐stage follicular lymphoma were managed with a watchful‐waiting approach until disease progression. The ‘Watch and Wait’ Phase‐3 randomised international trial examined whether rituximab could delay the need for treatment and the effect on quality of life (QoL). In this article, we present the long‐term results of the QoL aspect of the trial. Patients were randomised to watchful‐waiting (Arm A), rituximab induction (Arm B) or rituximab induction followed by maintenance (Arm C). We present the QoL outcomes from 180 patients (Arm A), 188 patients (Arm C) and an exploratory analysis of 82 (Arm B) compared to 81 and 84 patients concurrently randomised to arms A and C. Arm C reported greater improvement in emotional well‐being overtime (Month 37, p = 0.0078) and were significantly more likely to feel in control of their situation than watchful‐waiting patients (Month 25, p = 0.0004; Month 37, p = 0.0476). Watchful‐waiting patients were significantly more likely to avoid thinking about their illness, did not find learning about their illness helped them and were more likely to attach unpleasant connotations to clinic visits (Month 7, p = 0.0032; Month 13, p = 0.0015; Month 25, p = 0.0104). These results demonstrate improved QoL scores in the induction and maintenance rituximab arm, indicating that rituximab was not detrimental to QoL and resulted in an improved QoL in some domains.



Journal metrics


5.1 (2023)

Journal Impact Factor™


23%

Acceptance rate


8.6 (2023)

CiteScore™


12 days

Submission to first decision


$4,940 / £3,550 / €4,220 EUR

Article processing charge

Editors