Evidence map›Paper›PMID 40379905›Full record

ArticleBone marrow transplantation2025

A clinical solution for tracking clonal evolution of acute myeloid leukemia after allogeneic transplantation using bulk next generation sequencing.

Elizabeth F Krakow, Nathan Lee, Isaac Jenkins, Olga Sala-Torra, Lan Beppu, Jerald P Radich, Bryce Fukuda, Brenda M Sandmaier, Cecilia Cs Yeung, Ivana Bozic

Abstract read
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In one paragraph

Article in Bone marrow transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elizabeth F Krakow *Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-2690-3799
Nathan Lee *Department of Applied Mathematics, University of Washington, Seattle, WA, USA.
Isaac JenkinsDepartment of Biostatistics, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-3774-3823
Olga Sala-TorraTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Lan BeppuTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jerald P RadichDivision of Hematology-Oncology, University of Washington, Seattle, WA, USA.
Bryce FukudaClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0009-0003-7203-5261
Brenda M SandmaierDivision of Hematology-Oncology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-9767-9739
Cecilia Cs YeungTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. cyeung@fredhutch.org.
Ivana BozicDepartment of Applied Mathematics, University of Washington, Seattle, WA, USA. ibozic@uw.edu.ORCID 0000-0003-2761-825X

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Project 3: Stem Cell Allografts for Lymphoid MalignanciesP01CA078902 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SANDMAIER, BRENDA MARIE · 1999 to 2025
$46.1M
NCI NIH HHS P01 CA078902NCI NIH HHS P30 CA015704
6 · The paper itself

Abstract

Clinical next generation sequencing (NGS) typically relies on limited gene panels run on bulk marrow or blood. Current computational tools for inferring clonal relationships is generally limited by the use of a small panel of pathogenic mutations to define clones. We developed an online software (CloneTracker) that uses 'incidentally-sequenced' single nucleotide polymorphisms (SNPs) in the regions of recurrent somatic mutations in addition to conventional mutation data from bulk NGS gene panels to provide detailed visualizations of clonal evolution during cancer treatment, alongside clinical data. Tested on 29 patients who underwent non-myeloablative transplantation for AML, CloneTracker successfully reconstructed the evolutionary dynamics of donor engraftment from bulk NGS and rendered intuitive visualizations of residual patient-derived hematopoiesis and relapsing malignant clones. The software does not require sequencing donor samples, as donor-derived clones are identifiable from post-HCT SNP data. This manuscript aims to introduce CloneTracker to the BMT community and make it available for those who would ascertain its clinical utility, e.g, in BMT trials leveraging molecular minimal residual disease (MRD) monitoring and targeted interventions to pre-empt relapse.

Indexed as

Clonal EvolutionHematopoietic Stem Cell TransplantationHigh-Throughput Nucleotide SequencingLeukemia, Myeloid, AcuteAdultFemaleHumansMaleMiddle AgedNeoplasm, ResidualPolymorphism, Single NucleotideSoftwareTransplantation, Homologous

Identifiers

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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.