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High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance

Following CART-19 immunotherapy for B-cell acute lymphoblastic leukaemia (B-ALL), many patients relapse due to loss of the cognate CD19 epitope. Since epitope loss can be caused by aberrant CD19 exon 2 processing, we herein investigate the regulatory code that controls CD19 splicing. We combine high...

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Detalles Bibliográficos
Autores principales: Cortés-López, Mariela, Schulz, Laura, Enculescu, Mihaela, Paret, Claudia, Spiekermann, Bea, Quesnel-Vallières, Mathieu, Torres-Diz, Manuel, Unic, Sebastian, Busch, Anke, Orekhova, Anna, Kuban, Monika, Mesitov, Mikhail, Mulorz, Miriam M., Shraim, Rawan, Kielisch, Fridolin, Faber, Jörg, Barash, Yoseph, Thomas-Tikhonenko, Andrei, Zarnack, Kathi, Legewie, Stefan, König, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500061/
https://www.ncbi.nlm.nih.gov/pubmed/36138008
http://dx.doi.org/10.1038/s41467-022-31818-y
Descripción
Sumario:Following CART-19 immunotherapy for B-cell acute lymphoblastic leukaemia (B-ALL), many patients relapse due to loss of the cognate CD19 epitope. Since epitope loss can be caused by aberrant CD19 exon 2 processing, we herein investigate the regulatory code that controls CD19 splicing. We combine high-throughput mutagenesis with mathematical modelling to quantitatively disentangle the effects of all mutations in the region comprising CD19 exons 1-3. Thereupon, we identify ~200 single point mutations that alter CD19 splicing and thus could predispose B-ALL patients to developing CART-19 resistance. Furthermore, we report almost 100 previously unknown splice isoforms that emerge from cryptic splice sites and likely encode non-functional CD19 proteins. We further identify cis-regulatory elements and trans-acting RNA-binding proteins that control CD19 splicing (e.g., PTBP1 and SF3B4) and validate that loss of these factors leads to pervasive CD19 mis-splicing. Our dataset represents a comprehensive resource for identifying predictive biomarkers for CART-19 therapy.