Evidence map›Paper›PMID 40721481›Full record

ArticleScientific reports2025

The unfolded protein response influences therapy outcome and disease progression in chronic lymphocytic leukaemia.

Umair Tahir Khan, Kim Clarke, Gina Eagle, Melanie Oates, Peter Hillmen, Sandrine Jayne, Martin J S Dyer, Alex Phipps, Francesco Falciani, Rosalind E Jenkins and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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

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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Umair Tahir KhanDepartment of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Kim ClarkeComputational Biology Facility, University of Liverpool, Liverpool, UK.
Gina EagleDepartment of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Melanie OatesDepartment of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Peter HillmenLeeds Cancer Centre, Leeds Teaching Hospitals Trust, Leeds, UK.
Sandrine JayneLeicester Cancer Research Centre, The Ernest and Helen Scott Haematological Research Institute, University of Leicester, Leicester, UK.
Martin J S DyerLeicester Cancer Research Centre, The Ernest and Helen Scott Haematological Research Institute, University of Leicester, Leicester, UK.
Alex PhippsPRED Innovation Centre Welwyn, Roche Products, Shire Park, Welwyn Garden City, Herts, UK.
Francesco FalcianiComputational Biology Facility, University of Liverpool, Liverpool, UK.
Rosalind E JenkinsDepartment Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, CDSS Bioanalytical Facility, Liverpool Shared Research Facilities, University of Liverpool, Liverpool, UK. r.jenkins@liverpool.ac.uk.
Andrew R PettittDepartment of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.

Funding

Blood Cancer UK 21021Cancer Research UK CRUKE/09/016Leicester Experimental Cancer Medicine Centre ECMCQQR-2022/100006National Institute for Health and Care Research 07/01/38
6 · The paper itself

Abstract

Since genomics, epigenomics and transcriptomics have provided only a partial explanation of chronic lymphocytic leukaemia (CLL) heterogeneity, and since concordance between mRNA and protein expression is incomplete, we related the CLL proteome to clinical outcome. CLL samples from patients who received fludarabine-containing chemoimmunotherapy were analysed by mass spectrometry (SWATH-MS). One dataset compared pre-treatment samples associated with an optimal versus suboptimal response, while another compared paired samples collected before treatment and at disease progression. eIF2 signalling (pivotal to the unfolded protein response (UPR)), was identified as the most enriched pathway in both datasets (respective z-scores: - 6.245 and 3.317; p < 0.0001), as well as in a fludarabine-resistant CLL cell line established from HG3 cells (z-score: - 2.121; p < 0.0001). Western blotting revealed that fludarabine-resistant HG3 cells expressed higher levels of PERK, which phosphorylates the regulatory eIF2α subunit, and lower levels of BiP, an HSP70 molecular chaperone that inactivates PERK but preferentially binds to misfolded proteins during ER stress. The PERK inhibitor, GSK2606414, sensitised resistant, but not sensitive, HG-3 cells to fludarabine without affecting background cell viability or cytotoxicity induced by the BCL-2 inhibitor venetoclax. These findings identify the UPR as a novel determinant of therapy outcome and disease progression in CLL.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellUnfolded Protein ResponseAgedCell Line, TumorDisease ProgressionDrug Resistance, NeoplasmeIF-2 KinaseEukaryotic Initiation Factor-2FemaleHumansMaleMiddle AgedTreatment OutcomeVidarabineeIF-2 KinaseEukaryotic Initiation Factor-2fludarabineVidarabineCLL cellsDrug resistance and disease progressioneIF2 signallingPERK linked to resistant phenotypeProteomics

Identifiers

PMID40721481
PMCPMC12304208

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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.