Evidence map›Paper›PMID 29720577›Full record

ArticleJCI insight2018

Universal monitoring of minimal residual disease in acute myeloid leukemia.

Elaine Coustan-Smith, Guangchun Song, Sheila Shurtleff, Allen Eng-Juh Yeoh, Wee Joo Chng, Siew Peng Chen, Jeffrey E Rubnitz, Ching-Hon Pui, James R Downing, Dario Campana

Abstract read
In one paragraph

Article in JCI insight, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Elaine Coustan-SmithDepartment of Pediatrics, National University of Singapore, Singapore.
Guangchun SongDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Sheila ShurtleffDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Allen Eng-Juh YeohDepartment of Pediatrics, National University of Singapore, Singapore.
Wee Joo ChngNational University Cancer Institute, Singapore, National University of Singapore, Singapore.
Siew Peng ChenDepartment of Pediatrics, National University of Singapore, Singapore.
Jeffrey E RubnitzDepartment of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Ching-Hon PuiDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
James R DowningDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Dario CampanaDepartment of Pediatrics, National University of Singapore, Singapore.

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
DETECTION AND THERAPY OF RESIDUAL LEUKEMIA IN CHILDRENR01CA060419 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CAMPANA, DARIO · 1998 to 2006
$1.7M
DETECTION OF MINIMAL RESIDUAL LEUKEMIA IN CHILDRENU01CA060419 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CAMPANA, DARIO · 1993 to 1996
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NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA060419NCI NIH HHS U01 CA060419
6 · The paper itself

Abstract

backgroundOptimal management of acute myeloid leukemia (AML) requires monitoring of treatment response, but minimal residual disease (MRD) may escape detection. We sought to identify distinctive features of AML cells for universal MRD monitoring.

methodsWe compared genome-wide gene expression of AML cells from 157 patients with that of normal myeloblasts. Markers encoded by aberrantly expressed genes, including some previously associated with leukemia stem cells, were studied by flow cytometry in 240 patients with AML and in nonleukemic myeloblasts from 63 bone marrow samples.

resultsTwenty-two (CD9, CD18, CD25, CD32, CD44, CD47, CD52, CD54, CD59, CD64, CD68, CD86, CD93, CD96, CD97, CD99, CD123, CD200, CD300a/c, CD366, CD371, and CX3CR1) markers were aberrantly expressed in AML. Leukemia-associated profiles defined by these markers extended to immature CD34+CD38- AML cells; expression remained stable during treatment. The markers yielded MRD measurements matching those of standard methods in 208 samples from 52 patients undergoing chemotherapy and revealed otherwise undetectable MRD. They allowed MRD monitoring in 129 consecutive patients, yielding prognostically significant results. Using a machine-learning algorithm to reduce high-dimensional data sets to 2-dimensional data, the markers allowed a clear visualization of MRD and could detect 1 leukemic cell among more than 100,000 normal cells.

conclusionThe markers uncovered in this study allow universal and sensitive monitoring of MRD in AML. In combination with contemporary analytical tools, the markers improve the discrimination between leukemic and normal cells, thus facilitating data interpretation and, hence, the reliability of MRD results.

fundingNational Cancer Institute (CA60419 and CA21765); American Lebanese Syrian Associated Charities; National Medical Research Council of Singapore (1299/2011); Viva Foundation for Children with Cancer, Children's Cancer Foundation, Tote Board & Turf Club, and Lee Foundation of Singapore.

Indexed as

Gene Expression ProfilingAdolescentADP-ribosyl Cyclase 1AdultAlgorithmsAntigens, CDAntigens, CD34Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCase-Control StudiesChildChild, PreschoolDisease ProgressionGene ExpressionGranulocyte Precursor CellsHumansADP-ribosyl Cyclase 1Antigens, CDAntigens, CD34Biomarkers, TumorMembrane ProteinsHematologyLeukemiasOncology

Identifiers

PMID29720577
PMCPMC6012500

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.