Evidence map›Paper›PMID 40238899›Full record

ArticleBlood advances2025

Expression and treatment of ROR1+ cells with bispecific T-cell engagers in pediatric acute lymphoblastic leukemia.

Paraskevi Diamanti, Bethan K Bailey, Obinna E Iheanacho, John P Moppett, Amit C Nathwani, Allison Blair

Abstract read
In one paragraph

Article in Blood advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Paraskevi DiamantiBristol Institute for Transfusion Sciences, National Health Service Blood and Transplant Filton, Filton, United Kingdom.
Bethan K BaileySchool of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.
Obinna E IheanachoSchool of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.
John P MoppettDepartment of Haematology, Bristol Royal Hospital for Children, Bristol, United Kingdom.ORCID 0000-0003-1844-3531
Amit C NathwaniNovalGen Ltd, London, United Kingdom.
Allison BlairBristol Institute for Transfusion Sciences, National Health Service Blood and Transplant Filton, Filton, United Kingdom.ORCID 0000-0002-9759-5156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractReceptor tyrosine kinase-like orphan receptor (ROR)1 is overexpressed in some hematological cancers but has low expression in normal tissues, making it a potential therapeutic target. We investigated this therapeutic potential in childhood B-cell precursor (BCP) and T-cell acute lymphoblastic leukemia (T-ALL) cases. The proportion of ROR1+ cells was significantly higher in T-ALL (median, 13.8%; range, 2.9%-87%) than BCP-ALL (6%, 0.3%-83%, P = .02). Antigen density was also lower in BCP-ALL (median, 1027; range, 876-2588) compared to T-ALL (1089, 865-1527). In leukemia propagating cells (LPCs), ROR1 levels were highest in CD34-/CD19+ and CD34-/CD7+ subpopulations. Notably, ROR1+ LPC, in both BCP-ALL and T-ALL, survived induction therapy and their numbers increased post treatment. Subsequently, ROR1 bispecific T-cell engagers (Teng) were tested on primary cases in vitro and in vivo. Addition of ROR1 Teng in vitro reduced ALL survival to 44% in BCP-ALL and 58% in T-ALL, compared to T cells alone (94% and 84%, respectively; P ≤ .01). When NOD.Cg-PrkdcscidIl2rγtm1Wjl/SzJ mice engrafted with primary leukemia were treated with ROR1 Teng, disease burden was reduced by up to 520-fold (from 15.6% to 0.03%) in ROR1+ cells and 68-fold (58% to 0.9%) in CD19+ cells in BCP-ALL. In T-ALL cases, there was a fourfold reduction (from 1.2% to 0.3%) in ROR1+ and 2.3-fold (from 83.7% to 36.7%) in CD7+ levels. This resistance of ROR1+ cells to current therapies makes it an important target. Moreover, as ROR1 Teng were at least comparable to CD19 Teng in vivo, they could be considered for the treatment of refractory BCP-ALL.

Indexed as

Antibodies, BispecificPrecursor Cell Lymphoblastic Leukemia-LymphomaReceptor Tyrosine Kinase-like Orphan ReceptorsT-LymphocytesAnimalsChildChild, PreschoolFemaleHumansMaleMicePrecursor T-Cell Lymphoblastic Leukemia-LymphomaAntibodies, BispecificReceptor Tyrosine Kinase-like Orphan ReceptorsROR1 protein, human

Identifiers

PMID40238899
PMCPMC12246702

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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.