Evidence map›Paper›PMID 40134341›Full record

ArticleCytometry. Part B, Clinical cytometry2025

28-color single tube for flow cytometric assessment of myeloid maturation, myeloid neoplasia, and acute myeloid leukemia minimal/measurable residual disease.

Qi Gao, Alexander Chan, Jingping Zhang, Xiaotian Sun, Amanda Burke, Olivia Miu, Nghia Nguyen, Shu Jie Zhang, Jennifer Reminick, Jessica Wardrope and 1 more

Abstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Qi GaoDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID https://orcid.org/0000-0003-1054-4418
Alexander ChanDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jingping ZhangDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Xiaotian SunDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Amanda BurkeDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Olivia MiuDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Nghia NguyenDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Shu Jie ZhangDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jennifer ReminickDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jessica WardropeDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Mikhail RoshalDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Memorial Sloan Kettering Cancer Center, Center for Hematologic MalignanciesNCI NIH HHS P30 CA008748NIH HHS P30 CA008748
6 · The paper itself

Abstract

Flow cytometry (FC) is an indispensable tool for myeloid neoplasia (MN) diagnosis, and the cell of origin has clinical diagnostic and prognostic significance. However, the complex maturational pathways within the blast compartment complicate the detection of the abnormal population at the minimal/measurable disease (MRD) level using the difference from normal approach. The analysis could be simplified by separating the blast compartment into maturation-defined stages with relatively uniform phenotypes as reference populations. This requires a relatively extensive panel of antibodies to define maturation stages and simultaneously detect the common deviations from the normal pattern. We validated a single tube 28-color clinical assay for MN assessment and acute myeloid leukemia (AML) MRD detection assisted by the precise maturation stage assignment. The new assay uses a previously described 21-antigen backbone, with the additions of CD10, CD36, CD42b, CD45RA, CD90, CD105, and CD371. Validation was performed using 37 normal samples and 151 MN follow-up samples in a split-sample fashion comparing the new assay to the legacy 3-tube, 21-antigen assay. Dilution studies were performed to establish assay sensitivity. A new analysis framework relying on comparison to well-defined maturational stages was established for MRD analysis. The assays showed 100% qualitative concordance with excellent quantitative concordance. Dilution studies yielded a limit of detection of 0.01%. The addition of new antibodies allowed for consistent comparisons of candidate abnormal populations to well-defined normal maturation stages through traditional FC plots and Uniform Matrix Approximation and Projection assessments. This new single-tube, 28-color clinical assay allows for efficient MN assessment in clinical settings. It reliably detects MRD levels of abnormal myeloid cells because the expanded panel allows for precise comparison to defined lineage commitment maturational stages. Lastly, it provides high information density while reducing equipment use, reagent use, and technical labor.

Indexed as

Flow CytometryLeukemia, Myeloid, AcuteNeoplasm, ResidualAntigens, CDFemaleHumansImmunophenotypingAntigens, CDAMLassay validationLLoDLLoQMPPMRDstem cells

Identifiers

PMID40134341
PMCPMC13148124

What Socratic holds

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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 Socratic graph.