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Unique transcriptional profiles underlie osteosarcomagenesis driven by different p53 mutants.

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Missense mutations in the DNA binding domain of p53 are characterized as structural or contact mutations based on their effect on the conformation of the protein. These mutations show gain-of-function… Click to show full abstract

Missense mutations in the DNA binding domain of p53 are characterized as structural or contact mutations based on their effect on the conformation of the protein. These mutations show gain-of-function activities, such as promoting increased metastatic incidence compared to p53 loss, often mediated by the interaction of mutant p53 with a set of transcription factors. These interactions are largely context specific. In order to understand the mechanisms by which p53 DNA binding domain mutations drive osteosarcoma progression, we created mouse models, in which either the p53 structural mutant p53R172H or the contact mutant p53R245W are expressed specifically in osteoblasts, yielding osteosarcoma tumor development. Survival significantly decreased and metastatic incidence increased in mice expressing p53 mutants compared to p53-null mice, suggesting gain of function. RNA-sequencing of primary osteosarcomas revealed vastly different gene expression profiles between tumors expressing the missense mutants and p53-null tumors. Further, p53R172H and p53R245W each regulated unique transcriptomes and pathways through interactions with a distinct repertoire of transcription factors. Validation assays showed that p53R245W, but not p53R172H, interacts with KLF15 to drive migration and invasion in osteosarcoma cell lines and promotes metastasis in allogeneic transplantation models. Additionally, analyses of p53R248W ChIP peaks showed enrichment of KLF15 motifs in human osteoblasts. Taken together, these data identify unique mechanisms of action of the structural and contact mutants of p53.

Keywords: profiles underlie; p53 mutants; underlie osteosarcomagenesis; transcriptional profiles; p53; unique transcriptional

Journal Title: Cancer research
Year Published: 2023

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