Evidence map›Paper›PMID 39777414›Full record

ReviewAmerican journal of hematology2025

Breaking the Bone Marrow Barrier: Peripheral Blood as a Gateway to Measurable Residual Disease Detection in Acute Myelogenous Leukemia.

John T Butler, William M Yashar, Ronan Swords

Abstract readReview
In one paragraph

Review in American journal of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. 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

3 authors.

John T ButlerRadiation Medicine and Applied Science, Moores Cancer Center, University of California San Diego, La Jolla, California, USA.ORCID 0000-0001-9945-9791
William M YasharKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA.
Ronan SwordsDivision of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA.

Funding

Control of the MYC Super-Enhancer Complex in FLT3-ITD Acute Myeloid LeukemiaF30CA278500 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI YASHAR, WILLIAM MONTGOMERY · 2024 to 2024
$32k
Division of Cancer Prevention, National Cancer Institute 1 F30CA278500-01A1NCI NIH HHS F30 CA278500
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a genetically heterogeneous disease with high rates of relapse after initial treatment. Identifying measurable residual disease (MRD) following initial therapy is essential to assess response, predict patient outcomes, and identify those in need of additional intervention. Currently, MRD analysis relies on invasive, serial bone marrow (BM) biopsies, which complicate sample availability and processing time and negatively impact patient experience. Additionally, finding a positive result can generate more questions than answers, causing anxiety for both the patient and the provider. Peripheral blood (PB) evaluation has shown promise in detecting MRD and is now recommended by the European Leukemia Net for AML for certain genetic abnormalities. PB-based sampling allows for more frequent testing intervals and better temporal resolution of malignant expansion while sparing patients additional invasive procedures. In this review, we will discuss the current state of PB testing for MRD evaluation with a focus on next-generation sequencing methodologies that are capable of MRD detection across AML subtypes.

Indexed as

Bone MarrowLeukemia, Myeloid, AcuteNeoplasm, ResidualHigh-Throughput Nucleotide SequencingHumansacute myelogenous leukemiabiomarkercfDNActDNAmeasurable residual diseaseperipheral blood

Identifiers

PMID39777414
PMCPMC11886496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.