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Contributors

S. Glenn1, B. Burgher1, J. Luce1, V. Giamo1, M. Miles1, C. Morrison1, and P. Galbo1

1Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, New York

Introduction

Measurable Residual Disease (MRD) has become an essential prognostic marker for assessing how patients with Acute Myeloid Leukaemia (AML) are responding to therapy.

Currently, limitations in MRD testing include the paucity of key mutations for monitoring, as well as a lack of highly sensitive comprehensive assays that can efficiently test many patients in a single workflow. There is an imminent need to increase the number of targets that can be identified and utilised for monitoring progression of disease pre- and post- allogenic haematopoietic cell transplantation (alloHCT) in AML, as many patients cannot be monitored due to lack of mutations currently tracked by MRD.

To this end, we have utilised an Ultra-High Sensitivity (UHS) next-generation sequencing (NGS)-based MRD assay to evaluate a retrospective cohort of serially collected bone marrow specimens (post-induction, pre- and post- alloHCT) from AML patients to assess the ability of this assay to better identify risk of relapse.

Aim

Utilising a sensitive and comprehensive NGS-based assay the two key aims of this study are, to first predict risk of recurrence when monitoring pre-alloHCT bone marrow specimens and second to monitor serially collected post-alloHCT bone marrow specimens for identifying recurrence earlier than current methodologies. Both aims focus on the identification of MRD with the future goal of using this assay to modify patient treatment and outcomes.

Method

Study design and patient cohorts

  • Retrospective study utilizing archived samples from AML patients who underwent allogeneic haematopoietic stem cell transplantation (HSCT) and were monitored during remission.
  • Only subjects with diagnostic mutations represented on the NGS panel were included, enabling a tumour-informed assay. Results were compared to flow cytometry MRD.
  • Two cohorts: Relapse: 26 patients who ultimately experienced clinical relapse; Non-relapse: 23 patients who remained disease-free for ≥2 years post-transplant.
  • Sampling included measurements at approximately 30 day pre-, 30, 60, and ≥90 days post-transplant, with additional later timepoints.

Workflow and panel

Libraries were generated using OGT’s Ultra low MRD NGS Complete Workflow Solution together with the SureSeq™ Myeloid MRD Plus NGS Panel (Table 1). Sequencing was conducted using 2 x 150 bp reads on an Illumina NextSeq2000. Analysis was performed using OGT’s Interpret Software.

Results

Post-induction, pre-alloHCT tumour-informed variant MRD detection is associated with increased relapse risk

Post-alloHCT longitudinal monitoring of tumour-informed variant MRD dynamics correlates with tumour relapse and provides a lead-time advantage over standard-of-care MFC

NGS identifies MRD earlier and more frequently than MFC across longitudinal patient trajectories

Conclusions

  • Ultra-high-sensitivity, target-capture NGS has the potential to predict AML relapse (including pre-transplant risk) significantly earlier than current MRD approaches.
  • This NGS assay enables multi-gene analysis at ultra-low variant frequencies, supporting its use for sensitive, comprehensive MRD monitoring.
  • Relapse cohort: NGS demonstrated superior sensitivity for detecting recurrent disease compared with FCM with an 89-day median lead time advantage.
  • Non-relapse cohort: NGS results showed a strong correlation with sustained MRD negativity, indicating high specificity.
  • Overall, the study confirms that capture-based NGS can reliably detect variants predictive of clinical relapse, supporting its utility for future MRD research and post-transplant surveillance.

 

SureSeq: For Research Use Only; Not for Diagnostic Procedures.

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