Evidence map›Paper›PMID 38066241›Full record

ArticleNPJ precision oncology2023

Multimodal classification of molecular subtypes in pediatric acute lymphoblastic leukemia.

Olga Krali, Yanara Marincevic-Zuniga, Gustav Arvidsson, Anna Pia Enblad, Anders Lundmark, Shumaila Sayyab, Vasilios Zachariadis, Merja Heinäniemi, Janne Suhonen, Laura Oksa and 20 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

30 authors.

Olga KraliDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-6436-9531
Yanara Marincevic-ZunigaDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Gustav ArvidssonDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Anna Pia EnbladDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Anders LundmarkDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Shumaila SayyabDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Vasilios ZachariadisDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Merja HeinäniemiInstitute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.
Janne SuhonenInstitute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.
Laura OksaTampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID http://orcid.org/0000-0003-4468-9877
Kaisa VepsäläinenDepartment of Pediatrics, Kuopio University Hospital, Kuopio, Finland.
Ingegerd ÖfverholmDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Gisela BarbanyDepartment of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-3185-2962
Ann NordgrenDepartment of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
Henrik LilljebjörnDivision of Clinical Genetics, Dept. of Laboratory Medicine, Lund University, Lund, Sweden.
Thoas FioretosDivision of Clinical Genetics, Dept. of Laboratory Medicine, Lund University, Lund, Sweden.
Hans O MadsenDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Hanne Vibeke MarquartDepartment of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Trond FlaegstadDepartment of Pediatrics, Tromsø University and University Hospital, Tromsø, Norway.
Erik ForestierFor the Nordic Society of Pediatric Hematology and Oncology (NOPHO), Stockholm, Sweden.
Ólafur G JónssonFor the Nordic Society of Pediatric Hematology and Oncology (NOPHO), Stockholm, Sweden.
Jukka KanervaFor the Nordic Society of Pediatric Hematology and Oncology (NOPHO), Stockholm, Sweden.
Olli LohiTampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Ulrika Norén-NyströmFor the Nordic Society of Pediatric Hematology and Oncology (NOPHO), Stockholm, Sweden.
Kjeld SchmiegelowFor the Nordic Society of Pediatric Hematology and Oncology (NOPHO), Stockholm, Sweden.
Arja HarilaDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Mats HeymanFor the Nordic Society of Pediatric Hematology and Oncology (NOPHO), Stockholm, Sweden.
Gudmar LönnerholmDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Ann-Christine SyvänenDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-9681-9146
Jessica NordlundDepartment of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. jessica.nordlund@medsci.uu.se.ORCID http://orcid.org/0000-0001-8699-9959

Funding

Academy of Finland (Suomen Akatemia) #321550Barncancerfonden (Swedish Childhood Cancer Foundation) PR2017-0023Barncancerfonden (Swedish Childhood Cancer Foundation) PR2019-0046Cancerfonden (Swedish Cancer Society) CAN2018-623Cancerfonden (Swedish Cancer Society) CAN2022-2395Vetenskapsrådet (Swedish Research Council) 2019-01976
6 · The paper itself

Abstract

Genomic analyses have redefined the molecular subgrouping of pediatric acute lymphoblastic leukemia (ALL). Molecular subgroups guide risk-stratification and targeted therapies, but outcomes of recently identified subtypes are often unclear, owing to limited cases with comprehensive profiling and cross-protocol studies. We developed a machine learning tool (ALLIUM) for the molecular subclassification of ALL in retrospective cohorts as well as for up-front diagnostics. ALLIUM uses DNA methylation and gene expression data from 1131 Nordic ALL patients to predict 17 ALL subtypes with high accuracy. ALLIUM was used to revise and verify the molecular subtype of 281 B-cell precursor ALL (BCP-ALL) cases with previously undefined molecular phenotype, resulting in a single revised subtype for 81.5% of these cases. Our study shows the power of combining DNA methylation and gene expression data for resolving ALL subtypes and provides a comprehensive population-based retrospective cohort study of molecular subtype frequencies in the Nordic countries.

Identifiers

PMID38066241
PMCPMC10709574

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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.