Evidence map›Paper›PMID 41646762›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Whole Genome Sequencing Informed Patient Personalized Measurable Residual Disease Assays for Acute Myeloid Leukemia.

Niveditha Ravindra, Justin Lack, Clifton L Dalgard, Eddy vanCollenburg, Adam Corner, Lan Beppu, Harry Erba, Megan Othus, Jerald P Radich, Laura W Dillon and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

5 · Who and what money

Authors and funding

11 authors.

Niveditha RavindraLaboratory of Myeloid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.ORCID 0000-0002-2550-493X
Justin LackIntegrated Data Sciences Section, National Institutes of Health, Bethesda, MD.
Clifton L DalgardThe American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, MD.ORCID 0000-0003-2025-8239
Eddy vanCollenburgBio-Rad Laboratories, Digital Biology Group, 5731, W. Las Positias Blvd, Pleasanton, CA.
Adam CornerBio-Rad Laboratories, Digital Biology Group, 5731, W. Las Positias Blvd, Pleasanton, CA.
Lan BeppuTranslational Science & Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA.
Harry ErbaDuke University School of Medicine, Durham, NC.
Megan OthusPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Jerald P RadichTranslational Science & Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA.
Laura W DillonFralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC.ORCID 0000-0002-4877-9354
Christopher S HouriganFralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC.ORCID 0000-0002-6189-8067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-treatment measurable residual disease (MRD) in acute myeloid leukemia (AML) patients is associated with adverse clinical outcomes. Validated molecular methods for AML MRD are preferable to flow cytometry assays but are not available for all patients. The limit of detection (LOD) of next-generation sequencing (NGS) assays for single nucleotide variants is restricted by technical error rates. Structural alterations are common genetic features of AML, but MRD approaches for detecting this class of variants have primarily relied on RNA. However, RNA has suboptimal stability, not all structural alterations are expressed as transcripts, and the impact of anti-leukemic therapy on transcription may make leukemic disease burden quantification inaccurate. In this study, we demonstrate a whole genome sequencing (WGS)-based approach to identify genomic DNA breakpoints of chromosomal rearrangements that allowed design of highly sensitive patient-personalized digital droplet PCR (ddPCR) MRD assays. Acute myeloid leukemia (AML) is an aggressive malignancy of the hematopoietic precursor cells that predominantly affects older individuals. Oncogenic transformation occurring through the acquisition of structural chromosomal aberrations is noted in 35% of AML cases, and can result in the formation of fusion proteins that confer proliferation and survival advantages (1). When compared to classical cytogenetics for the identification of structural variants at diagnosis, newer techniques such as optical genome mapping can identify clinically pertinent aberrations that may be cryptic or smaller than the resolution of conventional karyotyping and FISH (2). Similarly, short-read whole genome sequencing (WGS) has been shown to increase diagnostic yield and better refine risk stratification when compared to traditional cytogenetic testing in myeloid malignancies (3). Additionally, WGS can be utilized to identify genomic breakpoints of chromosomal rearrangements at a basepair (bp) resolution.

Identifiers

PMID41646762
PMCPMC12870688

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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.