Evidence map›Paper›PMID 42325004›Full record

ArticleClinical pharmacology and therapeutics2026

Genetic Determinants of Treatment-Related Bone Toxicity in Pediatric Acute Lymphoblastic Leukemia.

Rachid Abaji, Vincent Gagné, Émilie Espagne, Nathalie Alos, Veronica Del Vecchio, Lamia Ait Said, Albert Shalmiev, Claire Fuchs, Caroline Laverdière, Jean-Marie Leclerc and 5 more

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Rachid AbajiCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.ORCID 0000-0002-7417-3575
Vincent GagnéCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Émilie EspagneCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Nathalie AlosCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Veronica Del VecchioCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Lamia Ait SaidCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Albert ShalmievCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Claire FuchsCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Caroline LaverdièreCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Jean-Marie LeclercCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Stephen E SallanDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Lewis B SilvermanDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Daniel SinnettCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Thai Hoa TranCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.
Maja KrajinovicCharles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, Montreal, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteonecrosis and fractures are serious corticosteroid-induced bone toxicities in children treated for acute lymphoblastic leukemia, yet their genetic determinants remain incompletely defined. In this study, we aimed to identify novel genetic contributors to bone toxicity and to evaluate the robustness of both newly identified and previously established risk genotypes in more recent Dana-Farber Cancer Institute treatment protocols. Whole-exome sequencing was first performed in a discovery cohort to identify genetic variants associated with osteonecrosis. A novel association with a variant in the PGAP2 gene was identified and subsequently confirmed in an independent replication cohort, with effects of patient- and disease-related characteristics observed in both cohorts. Next, previously reported candidate gene-derived associations, together with this newly identified variant, were assessed in a more recent cohort to examine their relevance in contemporary treatment protocols. Variants in BCL2L11 and the ACP1-SH3YL1 locus were associated with bone fractures, with a strong synergistic effect and significant modulation by protocol-specific factors, particularly corticosteroid exposure and asparaginase formulation. The PGAP2 variant was associated with the combined osteonecrosis-fracture phenotype. Transcriptomic analyses revealed isoform-specific expression shifts in PGAP2 in patients with osteotoxicity, supporting a potential functional role for altered splicing or gene regulation. Together, our results provide insight into the pharmacogenomic architecture of osteotoxicity in ALL, demonstrating that PGAP2, BCL2L11, and ACP1-SH3YL1 variants remain clinically relevant predictors of bone toxicity across evolving treatment protocols. However, their clinical manifestations appear to be context-dependent, underscoring the importance of integrating genetic susceptibility with pharmacologic exposures and supporting further investigation of the underlying molecular mechanisms.

Indexed as

Adrenal Cortex HormonesFractures, BoneOsteonecrosisPrecursor Cell Lymphoblastic Leukemia-LymphomaAdolescentAsparaginaseChildChild, PreschoolExome SequencingFemaleGenetic Predisposition to DiseaseHumansMaleAdrenal Cortex HormonesAsparaginase

Identifiers

PMID42325004
PMCPMC13339436

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.