Prolyl-tRNA synthetase as a novel therapeutic target in multiple myeloma.
Keiji KurataAnna-James BottMark A TyeLeona YamamotoMehmet Kemal SamurYu-Tzu TaiJames E DunfordCatrine JohanssonFiliz SenbabaogluMartin PhilpottCharlotte PalmerKarthik RamasamySarah GoodingMihaela SmilovaGiorgia GaetaManman GuoJohn C ChristiansonNeil Connor PayneKritika SinghKubra KaragozMatthew E StokesMaria OrtizPatrick HagnerAnjan ThakurtaAdam CribbsRalph MazitschekTeru HideshimaKenneth C AndersonUdo OppermannPublished in: Blood cancer journal (2023)
Multiple myeloma (MM) is a plasma cell malignancy characterised by aberrant production of immunoglobulins requiring survival mechanisms to adapt to proteotoxic stress. We here show that glutamyl-prolyl-tRNA synthetase (GluProRS) inhibition constitutes a novel therapeutic target. Genomic data suggest that GluProRS promotes disease progression and is associated with poor prognosis, while downregulation in MM cells triggers apoptosis. We developed NCP26, a novel ATP-competitive ProRS inhibitor that demonstrates significant anti-tumour activity in multiple in vitro and in vivo systems and overcomes metabolic adaptation observed with other inhibitor chemotypes. We demonstrate a complex phenotypic response involving protein quality control mechanisms that centers around the ribosome as an integrating hub. Using systems approaches, we identified multiple downregulated proline-rich motif-containing proteins as downstream effectors. These include CD138, transcription factors such as MYC, and transcription factor 3 (TCF3), which we establish as a novel determinant in MM pathobiology through functional and genomic validation. Our preclinical data therefore provide evidence that blockade of prolyl-aminoacylation evokes a complex pro-apoptotic response beyond the canonical integrated stress response and establish a framework for its evaluation in a clinical setting.
Keyphrases
- transcription factor
- poor prognosis
- multiple myeloma
- quality control
- cell cycle arrest
- cell death
- long non coding rna
- induced apoptosis
- electronic health record
- endoplasmic reticulum stress
- cell therapy
- dna binding
- big data
- oxidative stress
- anti inflammatory
- single cell
- genome wide identification
- cell proliferation
- stem cells
- gene expression
- mesenchymal stem cells
- machine learning
- deep learning
- protein protein
- amino acid
- heat stress