Evidence map›Paper›PMID 33758317›Full record

ReviewLeukemia2021

Measurable residual disease as a biomarker in acute myeloid leukemia: theoretical and practical considerations.

Roland B Walter, Yishai Ofran, Agnieszka Wierzbowska, Farhad Ravandi, Christopher S Hourigan, Lok Lam Ngai, Adriano Venditti, Francesco Buccisano, Gert J Ossenkoppele, Gail J Roboz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Leukemia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed.

  1. Targeted Radiation Delivery before Haploidentical HCT for High-risk Leukemia or MDS Patients Yields Long-term Survivors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Trial
  2. Trial
  3. Article
  4. Review
  5. Post-Transplant Relapse in Acute Leukemia: Comparative Value of MRD and Chimerism.Mediterranean journal of hematology and infectious diseases · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. How to improve AML outcomes?Blood research · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Roland B WalterClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. rwalter@fredhutch.org.ORCID http://orcid.org/0000-0002-9268-3341
Yishai OfranDepartment of Hematology, Sharee Zedeq Medical Center, Jerusalem, Israel.
Agnieszka WierzbowskaDepartment of Hematology, Medical University of Lodz, Lodz, Poland.
Farhad RavandiDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christopher S HouriganLaboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Lok Lam NgaiDepartment of Hematology, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-0969-3766
Adriano VendittiDepartment of Biomedicine and Prevention, Hematology, University Tor Vergata, Rome, Italy.ORCID http://orcid.org/0000-0002-0245-0553
Francesco BuccisanoDepartment of Biomedicine and Prevention, Hematology, University Tor Vergata, Rome, Italy.
Gert J OssenkoppeleDepartment of Hematology, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.
Gail J RobozHematology and Oncology, Weill Cornell Medicine and NewYork-Presbyterian Hospital, Cornell University, New York, NY, USA.

Funding

Detection, prevention and treatment of acute myeloid leukemia (AML) relapse.ZIAHL006163 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI HOURIGAN, CHRISTOPHER · 2013 to 2023
$21.0M
6 · The paper itself

Abstract

Several methodologies that rely on the detection of immunophenotypic or molecular abnormalities of the neoplastic cells are now available to quantify measurable ("minimal") residual disease (MRD) in acute myeloid leukemia (AML). Although the perfect MRD test does not (yet) exist, the strong association between MRD and adverse patient outcomes has provided the impetus to use measures of MRD as biomarker in the routine care of AML patients and during clinical trials. MRD test results may inform the selection of postremission therapy in some patients but evidence supporting the use of MRD as predictive biomarker is still limited. Several retrospective studies have shown that conversion from undetectable to detectable MRD or increasing MRD over time is associated with overt disease recurrence, and MRD testing may therefore be valuable as a monitoring biomarker for early detection of relapse. Interpreting serial MRD data is complex, with open questions regarding the optimal timing and frequency of testing, as well as the identification of test-specific thresholds to define relapse. Importantly, it is unknown whether intervening at the time of MRD detection, rather than at overt disease recurrence, improves outcomes. Finally, using MRD as a surrogate efficacy-response biomarker to accelerate drug development/approval has already been accepted by regulatory authorities in other diseases and is of great interest as a potential strategy in AML. While the prognostic value of MRD in AML is well established, data from prospective clinical trials confirming that treatment effects on MRD directly relate to clinical outcomes are needed to further establish the role of MRD as a surrogate endpoint in AML.

Indexed as

Models, TheoreticalCombined Modality TherapyHumansLeukemia, Myeloid, AcuteNeoplasm Recurrence, LocalNeoplasm, ResidualRisk Assessment

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.