Evidence map›Paper›PMID 35271751›Full record

ArticleMolecular oncology2022

High CD34 surface expression in BCP-ALL predicts poor induction therapy response and is associated with altered expression of genes related to cell migration and adhesion.

Signe Modvig, Rasmus Wernersson, Nina Friesgaard Øbro, Lars Rønn Olsen, Claus Christensen, Susanne Rosthøj, Matilda Degn, Gitte Wullf Jürgensen, Hans O Madsen, Birgitte Klug Albertsen and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

16 authors at 7 institutions in 2 countries.

Signe ModvigDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Denmark.ORCID 0000-0001-9113-1097
Rasmus WernerssonSection for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.ORCID 0000-0003-4417-9842
Nina Friesgaard ØbroDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Denmark.
Lars Rønn OlsenSection for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Claus ChristensenDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Denmark.
Susanne RosthøjSection of Biostatistics, University of Copenhagen, Denmark.
Matilda DegnDepartment of Pediatric and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Denmark.
Gitte Wullf JürgensenDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Denmark.
Hans O MadsenDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Denmark.
Birgitte Klug AlbertsenDepartment of Pediatrics and Adolescent Medicine, Aarhus University Hospital, Denmark.
Peder Skov WehnerH.C. Andersen Children's Hospital, Odense University Hospital, Denmark.
Steen RosthøjDepartment of Pediatrics and Adolescent Medicine, Aalborg University Hospital, Denmark.
Henrik LilljebjörnDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Sweden.
Thoas FioretosDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Sweden.
Kjeld SchmiegelowFaculty of Medicine, Institute of Clinical Medicine, University of Copenhagen, Denmark.
Hanne Vibeke MarquartDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DKLund University · SEAarhus University · DKClinical Microbiomics (Denmark) · DKOdense University Hospital · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimal residual disease (MRD) constitutes the most important prognostic factor in B-cell precursor acute lymphoblastic leukemia (BCP-ALL). Flow cytometry is widely used in MRD assessment, yet little is known regarding the effect of different immunophenotypic subsets on outcome. In this study of 200 BCP-ALL patients, we found that a CD34-positive, CD38 dim-positive, nTdT dim-positive immunophenotype on the leukemic blasts was associated with poor induction therapy response and predicted an MRD level at the end of induction therapy (EOI) of ≥ 0.001. CD34 expression was strongly and positively associated with EOI MRD, whereas CD34-negative patients had a low relapse risk. Further, CD34 expression increased from diagnosis to relapse. CD34 is a stemness-associated cell-surface molecule, possibly involved in cell adhesion/migration or survival. Accordingly, genes associated with stemness were overrepresented among the most upregulated genes in CD34-positive leukemias, and protein-protein interaction networks showed an overrepresentation of genes associated with cell migration, cell adhesion, and negative regulation of apoptosis. The present work is the first to demonstrate a CD34-negative immunophenotype as a good prognostic factor in ALL, whereas high CD34 expression is associated with poor therapy response and an altered gene expression profile reminiscent of migrating cancer stem-like cells.

Indexed as

Burkitt LymphomaPrecursor Cell Lymphoblastic Leukemia-LymphomaAntigens, CD34Cell Adhesion MoleculesCell MovementFlow CytometryHumansImmunophenotypingInduction ChemotherapyNeoplasm, ResidualRecurrenceAntigens, CD34Cell Adhesion Moleculesacute lymphoblastic leukemiaCD34cell migrationimmunophenotypeprognosisprotein-protein interaction networks

Identifiers

PMID35271751
PMCPMC9120905
OpenAlexW4220691797

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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.