Evidence map›Paper›PMID 34304246›Full record

ArticleLeukemia2022

Identification and characterization of relapse-initiating cells in MLL-rearranged infant ALL by single-cell transcriptomics.

Tito Candelli, Pauline Schneider, Patricia Garrido Castro, Luke A Jones, Eduard Bodewes, Dedeke Rockx-Brouwer, Rob Pieters, Frank C P Holstege, Thanasis Margaritis, Ronald W Stam

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

16 citing papers in PubMed, 26 citations in OpenAlex.

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  5. Haematologica · 2025
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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 at 1 institution in 1 country.

Tito Candelli *Princess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.
Pauline Schneider *Princess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-0162-9436
Patricia Garrido CastroPrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.
Luke A JonesPrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.
Eduard BodewesPrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.
Dedeke Rockx-BrouwerPrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.
Rob PietersPrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.
Frank C P HolstegePrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.
Thanasis MargaritisPrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-4040-2015
Ronald W StamPrincess Máxima Center for Pediatric Oncology, 3584 CS, Utrecht, The Netherlands. R.W.Stam@prinsesmaximacentrum.nl.ORCID http://orcid.org/0000-0003-4986-1656
Princess Máxima Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infants with MLL-rearranged infant acute lymphoblastic leukemia (MLL-r iALL) undergo intense therapy to counter a highly aggressive malignancy with survival rates of only 30-40%. The majority of patients initially show therapy response, but in two-thirds of cases the leukemia returns, typically during treatment. The glucocorticoid drug prednisone is established as a major player in the treatment of leukemia and the in vivo response to prednisone monotreatment is currently the best indicator of risk for MLL-r iALL. We used two different single-cell RNA sequencing technologies to analyze the expression of a prednisone-dependent signature, derived from an independent study, in diagnostic bone marrow and peripheral blood biopsies. This allowed us to classify individual leukemic cells as either resistant or sensitive to treatment and show that quantification of these two groups can be used to better predict the occurrence of future relapse in individual patients. This work also sheds light on the nature of the therapy-resistant subpopulation of relapse-initiating cells. Leukemic cells associated with high relapse risk are characterized by basal activation of glucocorticoid response, smaller size, and a quiescent gene expression program with cell stemness properties. These results improve current risk stratification and elucidate leukemic therapy-resistant subpopulations at diagnosis.

Indexed as

Gene RearrangementTranscriptomeAdultBiomarkers, TumorChildChild, PreschoolFemaleFollow-Up StudiesGene Expression Regulation, LeukemicHistone-Lysine N-MethyltransferaseHumansInfantInfant, NewbornMaleMyeloid-Lymphoid Leukemia ProteinNeoplasm Recurrence, LocalBiomarkers, TumorHistone-Lysine N-MethyltransferaseKMT2A protein, humanMyeloid-Lymphoid Leukemia Protein

Identifiers

PMID34304246
PMCPMC8727302
OpenAlexW3183635460

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.