The POLD1R689W variant increases the sensitivity of colorectal cancer cells to ATR and CHK1 inhibitors

Autor: Albert Job, Marina Tatura, Cora Schäfer, Veronika Lutz, Hanna Schneider, Brigitte Lankat-Buttgereit, Alexandra Zielinski, Kerstin Borgmann, Christian Bauer, Thomas M. Gress, Malte Buchholz, Eike Gallmeier
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
ISSN: 2045-2322
DOI: 10.1038/s41598-020-76033-1
Popis: Inhibition of the kinase ATR, a central regulator of the DNA damage response, eliminates subsets of cancer cells in certain tumors. As previously shown, this is at least partly attributable to synthetic lethal interactions between ATR and POLD1, the catalytic subunit of the polymerase δ. Various POLD1 variants have been found in colorectal cancer, but their significance as therapeutic targets for ATR pathway inhibition remains unknown. Using CRISPR/Cas9 in the colorectal cancer cell line DLD-1, which harbors four POLD1 variants, we established heterozygous POLD1-knockout clones with exclusive expression of distinct variants to determine the functional relevance of these variants individually by assessing their impact on ATR pathway activation, DNA replication, and cellular sensitivity to inhibition of ATR or its effector kinase CHK1. Of the four variants analyzed, only POLD1R689W affected POLD1 function, as demonstrated by compensatory ATR pathway activation and impaired DNA replication. Upon treatment with ATR or CHK1 inhibitors, POLD1R689W strongly decreased cell survival in vitro, which was attributable at least partly to S phase impairment and apoptosis. Similarly, treatment with the ATR inhibitor AZD6738 inhibited growth of murine xenograft tumors, harboring the POLD1R689W variant, in vivo. Our POLD1-knockout model thus complements algorithm-based models to predict the pathogenicity of tumor-specific variants of unknown significance and illustrates a novel and potentially clinically relevant therapeutic approach using ATR/CHK1 inhibitors in POLD1-deficient tumors.
Databáze: OpenAIRE
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