posted on 2025-09-08, 10:07authored byUmair Tahir Khan, Kim Clarke, Gina Eagle, Melanie Oates, Peter Hillmen, Sandrine JayneSandrine Jayne, Martin DyerMartin Dyer, Alex Phipps, Francesco Falciani, Rosalind E Jenkins, Andrew R Pettitt
<p dir="ltr">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.</p>
Funding
CRUKE/09/016: ADMIRE: Does the addition of mitoxantrone improve response? a randomised phase II trial of fludarabine, cyclophosphamide and rituximab +/- mitoxantrone in previously untreated CLL.
The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. Proteomics data are available via ProteomeXchange with identifier PXD058183