Evidence map›Paper›PMID 40546727›Full record

ArticleBlood neoplasia2025

Diagnostic genomic analysis is prognostic in AYA patients with ALL treated on an MRD-stratified pediatric protocol.

David T Yeung, Laura N Eadie, Jacqueline Rehn, Susan L Heatley, Barbara J McClure, Elyse C Page, Caitlin E Schutz, Michael P Osborn, Toby Trahair, Rosemary Sutton and 7 more

Abstract read
In one paragraph

Article in Blood neoplasia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

17 authors.

David T YeungPrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Laura N EadiePrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Jacqueline RehnPrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Susan L HeatleyPrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Barbara J McClurePrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Elyse C PagePrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Caitlin E SchutzPrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Michael P OsbornPrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Toby TrahairChildren's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, and Sydney Children's Hospitals Network, Kensington, New South Wales, Australia.
Rosemary SuttonChildren's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, and Sydney Children's Hospitals Network, Kensington, New South Wales, Australia.
Michelle J HendersonChildren's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, and Sydney Children's Hospitals Network, Kensington, New South Wales, Australia.
John KwanAustralasian Leukaemia Lymphoma Group (ALLG), Richmond, Victoria, Australia.
Sally MappAustralasian Leukaemia Lymphoma Group (ALLG), Richmond, Victoria, Australia.
Luciano Dalla-PozzaCancer Centre for Children, The Children's Hospital at Westmead, Westmead, New South Wales, Australia.
Kenneth BradstockAustralasian Leukaemia Lymphoma Group (ALLG), Richmond, Victoria, Australia.
Matthew GreenwoodAustralasian Leukaemia Lymphoma Group (ALLG), Richmond, Victoria, Australia.
Deborah L WhitePrecision Cancer Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing has enabled classification of multiple new recurrent genomic drivers of acute lymphoblastic leukemia (ALL). We aimed to describe the genomic drivers of ALL in an adolescent and young adult (AYA) cohort (ALL06; target age, 15-39 years; recruited age, 16.6-39 years), treated uniformly on a pediatric-inspired protocol (the Australasian Leukaemia and Lymphoma Group ALL06 study). ALL06 assessed the safety and efficacy of adapting a pediatric chemotherapy protocol in older patients. Genomic risk classification of enrolled B-ALL and T-ALL patients was based on multiple assays: messenger RNA sequencing, multiplex ligation-dependent probe amplification, immunophenotyping, and cytogenetics. Using this approach, 36 of 40 (90%) patients with B-ALL and 13 of 17 (76.5%) patients with T-ALL were classified according to genomic risk. A strong correlation existed between adverse genomic risk and minimal residual disease (MRD) at the end of consolidation, translating to inferior overall and relapse free survival. Patients with adverse risk genomics who achieved negative MRD status had improved responses compared with those with persistent MRD. Patients with standard-risk genomics had excellent responses regardless of MRD status. This is the first report of the impact of genomics in an individual cohort of AYA patients treated on a single protocol. These data argue strongly for incorporation of a genomic risk classification into future ALL treatment paradigms at the time of diagnosis, and also for the rigorous assessment of risk assignments in a group of patients who are not children and not older adults. This trial was registered at https://anzctr.org.au/ as #ACTRN12611000814976.

Identifiers

PMID40546727
PMCPMC12182849

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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.