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Dive into the research topics where Jack Bartram is active.

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Featured researches published by Jack Bartram.


Pediatric Blood & Cancer | 2013

Persistent defective membrane trafficking in epithelial cells of patients with familial hemophagocytic lymphohistiocytosis type 5 due to STXBP2/MUNC18-2 mutations.

Polina Stepensky; Jack Bartram; Thomas F. E. Barth; Kai Lehmberg; Paul Walther; Kerstin Amann; Alan D. Philips; Ortraud Beringer; Udo zur Stadt; Ansgar Schulz; Persis Amrolia; Michael Weintraub; Klaus-Michael Debatin; Manfred Hoenig; Carsten Posovszky

Familial hemophagocytic lymphohistiocytosis (FHL) is a rare primary immune disorder defined by mutations in the syntaxin binding protein 2 (STXBP2) alias MUNC18‐2. Despite defective immunity and a hyper‐inflammatory state, clinical findings such as neurological, gastrointestinal, and bleeding disorders are present in a significant number of patients and suggest an impaired expression and function of STXBP2 in cells other than cytotoxic lymphocytes.


Journal of Clinical Oncology | 2017

Use of Minimal Residual Disease Assessment to Redefine Induction Failure in Pediatric Acute Lymphoblastic Leukemia.

David O'Connor; Anthony V. Moorman; Rachel Wade; Jeremy Hancock; Rmr Tan; Jack Bartram; John Moppett; Claire Schwab; Katharine Patrick; Christine J. Harrison; Rachael Hough; Nick Goulden; Ajay Vora; Sujith Samarasinghe

Purpose Our aim was to determine the role of end-of-induction (EOI) minimal residual disease (MRD) assessment in the identification and stratification of induction failure in patients with pediatric acute lymphoblastic leukemia (ALL) and to identify genetic abnormalities that drive disease in these patients. Patients and Methods Analysis included 3,113 patients who were treated in the Medical Research Council UKALL2003 multicenter randomized trial (NCT00222612) between 2003 and 2011. MRD was measured by using standardized real-time quantitative PCR. Median follow-up was 5 years 9 months. Results Fifty-nine patients (1.9%) had morphologic induction failure with 5-year event-free survival (EFS) of 50.7% (95% CI, 37.4 to 64.0) and 5-year overall survival of 57.7% (95% CI, 44.2 to 71.2). Of these, a small proportion of patients with M2 marrow (6 of 44) and a low EOI MRD level (< 0.01%) had 5-year EFS of 100%. Conversely, among patients with morphologic remission 2.3% (61 of 2,633) had high MRD (≥ 5%) and 5-year EFS of 47.0% (95% CI, 32.9 to 61.1), which was similar to those with morphologic induction failure. Redefining induction failure to include morphologic induction failure and/or MRD ≥ 5% identified 3.9% (120 of 3,133 patients) of the trial cohort with 5-year EFS of 48.0% (95% CI, 39.3 to 58.6). Induction failure (morphologic or MRD ≥ 5%) occurred most frequently in T-ALL (10.1%; 39 of 386 T-ALL cases) and B-other ALL, that is, lacking established chromosomal abnormalities (5.6%; 43 of 772 B-other cases). Genetic testing within the B-other group revealed the presence of PDGFRB gene fusions, particularly EBF1-PDGFRB, in almost one third of B-other ALL cases. Conclusion Integration of EOI MRD level with morphology identifies induction failure more precisely than morphology alone. Prevalence of EBF1-PDGFRB fusions in this group highlights the importance of genetic screening to identify abnormalities that may be targets for novel agents.


Journal of Clinical Oncology | 2018

Genotype-Specific Minimal Residual Disease Interpretation Improves Stratification in Pediatric Acute Lymphoblastic Leukemia

David O’Connor; Amir Enshaei; Jack Bartram; Jeremy Hancock; Christine J. Harrison; Rachael Hough; Sujith Samarasinghe; Claire Schwab; Ajay Vora; Rachel Wade; John Moppett; Anthony V. Moorman; Nick Goulden

Purpose Minimal residual disease (MRD) and genetic abnormalities are important risk factors for outcome in acute lymphoblastic leukemia. Current risk algorithms dichotomize MRD data and do not assimilate genetics when assigning MRD risk, which reduces predictive accuracy. The aim of our study was to exploit the full power of MRD by examining it as a continuous variable and to integrate it with genetics. Patients and Methods We used a population-based cohort of 3,113 patients who were treated in UKALL2003, with a median follow-up of 7 years. MRD was evaluated by polymerase chain reaction analysis of Ig/TCR gene rearrangements, and patients were assigned to a genetic subtype on the basis of immunophenotype, cytogenetics, and fluorescence in situ hybridization. To examine response kinetics at the end of induction, we log-transformed the absolute MRD value and examined its distribution across subgroups. Results MRD was log normally distributed at the end of induction. MRD distributions of patients with distinct genetic subtypes were different (P < .001). Patients with good-risk cytogenetics demonstrated the fastest disease clearance, whereas patients with high-risk genetics and T-cell acute lymphoblastic leukemia responded more slowly. The risk of relapse was correlated with MRD kinetics, and each log reduction in disease level reduced the risk by 20% (hazard ratio, 0.80; 95% CI, 0.77 to 0.83; P < .001). Although the risk of relapse was directly proportional to the MRD level within each genetic risk group, absolute relapse rate that was associated with a specific MRD value or category varied significantly by genetic subtype. Integration of genetic subtype–specific MRD values allowed more refined risk group stratification. Conclusion A single threshold for assigning patients to an MRD risk group does not reflect the response kinetics of the different genetic subtypes. Future risk algorithms should integrate genetics with MRD to accurately identify patients with the lowest and highest risk of relapse.


Archives of Disease in Childhood | 2016

Excellent outcome of minimal residual disease-defined low-risk patients is sustained with more than 10 years follow-up: results of UK paediatric acute lymphoblastic leukaemia trials 1997–2003

Jack Bartram; Rachel Wade; Ajay Vora; Jeremy Hancock; Chris Mitchell; Sally E. Kinsey; Colin G. Steward; John Moppett; Nick Goulden

Background Minimal residual disease (MRD) is defined as the presence of sub-microscopic levels of leukaemia. Measurement of MRD from bone marrow at the end of induction chemotherapy (day 28) for childhood acute lymphoblastic leukaemia (ALL) can highlight a large group of patients (>40%) with an excellent (>90%) short-term event-free survival (EFS). However, follow-up in recent published trials is relatively short, raising concerns about using this result to infer the safety of further therapy reduction in the future. Methods We examined MRD data on 225 patients treated on one of three UKALL trials between 1997 and 2003 to assess the long-term (>10 years follow-up) outcome of those patients who had low-risk MRD (<0.01%) at day 28. Results Our pilot data define a cohort of 53% of children with MRD <0.01% at day 28 who have an EFS of 91% and long-term overall survival of 97%. Of 120 patients with day-28 MRD <0.01% and extended follow-up, there was one death due to treatment-related toxicity, one infectious death while in complete remission, and four relapse deaths. Conclusions The excellent outcome for childhood ALL in patients with MRD <0.01% after induction chemotherapy is sustained for more than 10 years from diagnosis. This supports the potential exploration of further reduction of therapy in this group, in an attempt to reduce treatment-related mortality and late effects.


Blood | 2015

Library Preparation Is the Major Factor Affecting Differences in Results of Immunoglobulin Gene Rearrangements Detection on Two Major Next-Generation Sequencing Platforms

Michaela Kotrova; Henrik Knecht; Jack Bartram; Vojtech Bystry; Giovanni Cazzaniga; Grazia Fazio; Simone Ferrero; Elisa Genuardi; Ramón García-Sanz; Andrea Grioni; Jeremy Hancock; Cristina Jiminez; Marco Ladetto; John Moppett; Simona Songia; Dietrich Herrmann; Christiane Pott; Anton W. Langerak; Nikos Darzentas; Jan Trka; Eva Fronkova; Monika Brüggemann


Blood | 2016

Artificial DNA Templates for the Correction of PCR Bias in Next Generation Sequencing Based MRD Analysis for Childhood Acute Lymphoblastic Leukaemia: The Influence of Secondary DNA Structure

John Moppett; Jerry Hancock; Marc Duez; Jack Bartram; Gary Wright; Mike Hubank; Paul Archer; Helen Williamson; Stephanie Wakeman


58th American Society of Hematology (ASH) Annual Meeting | 2016

Integrating Genetic Risk Factors with Age, Presenting White Cell Count and MRD Response As Continuous Variables to Predict Relapse in Paediatric Acute Lymphoblastic Leukemia (ALL)

Anthony V. Moorman; Amir Enshaei; David O'Connor; Jack Bartram; Jeremy Hancock; Ch Harrison; Sujith Samarasinghe; John Moppett; Ajay Vora; Nick Goulden


Archive | 2015

International multi-laboratory next-generation sequencing for MRD analysis in ALL. A pilot study by the Euroclonality-NGS consortium

Monika Brüggemann; Henrik Knecht; Jack Bartram; Vojtěch Bystrý; G Cazzaniga; G Fazio; Simone Ferrero; Eva Froňková; Ramón García-Sanz; Andrea Grioni; James Andrew Hancock; C. Jiminez; Michaela Kotrova; Marco Ladetto; John Moppett; Simona Songia; Jan Trka; A W Langerak; Nikos Darzentas; Dietrich Herrmann; Christiane Pott


Blood | 2015

Long Term Overall Survival of Greater Than 98% in Childhood ALL Patients with Good Risk Features and Low Risk MRD: (A)over-cap Results from a Large Multi-Center Randomized Controlled Trial, UKALL 2003

Jack Bartram; David O'Connor; Amir Enshaei; Anthony V. Moorman; Christine J. Harrison; Rachel Wade; Rachel Clack; Jeremy Hancock; Sujith Samarasinghe; John Moppett; Ajay Vora; Nicholas Goulden


Blood | 2015

Integration of Minimal Residual Disease with Other Patient Risk Factors Identifies a Population with Very Poor Overall Survival in Pediatric ALL: Results from the UKALL 2003 Trial

David O'Connor; Jack Bartram; Amir Enshaei; Anthony V. Moorman; Christine J. Harrison; Rachel Wade; Rachel Clack; Jeremy Hancock; Sujith Samarasinghe; John Moppett; Ajay Vora; Nicholas Goulden

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John Moppett

Bristol Royal Hospital for Children

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Ajay Vora

Great Ormond Street Hospital

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Rachel Wade

Clinical Trial Service Unit

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Sujith Samarasinghe

Great Ormond Street Hospital

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David O'Connor

Great Ormond Street Hospital

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Nick Goulden

Great Ormond Street Hospital

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Andrea Grioni

Central European Institute of Technology

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Jan Trka

Charles University in Prague

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Michaela Kotrova

Charles University in Prague

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