<p>The mutational landscape of <i>TP53</i>, a tumor suppressor mutated in about half of all cancers, includes over 2,000 known missense mutations. To fully leverage <i>TP53</i> mutation status for personalized medicine, a thorough understanding of the functional diversity of these mutations is essential. We conducted a deep mutational scan using saturation genome editing with CRISPR-mediated homology-directed repair to engineer 9,225 <i>TP53</i> variants in cancer cells. This high-resolution approach, covering 94.5% of all cancer-associated <i>TP53</i> missense mutations, precisely mapped the impact of individual mutations on tumor cell fitness, surpassing previous deep mutational scan studies in distinguishing benign from pathogenic variants. Our results revealed even subtle loss-of-function phenotypes and identified promising mutants for pharmacological reactivation. Moreover, we uncovered the roles of splicing alterations and nonsense-mediated messenger RNA decay in mutation-driven <i>TP53</i> dysfunction. These findings underscore the power of saturation genome editing in advancing clinical <i>TP53</i> variant interpretation for genetic counseling and personalized cancer therapy.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations

  • Julianne S. Funk,
  • Maria Klimovich,
  • Daniel Drangenstein,
  • Ole Pielhoop,
  • Pascal Hunold,
  • Anna Borowek,
  • Maxim Noeparast,
  • Evangelos Pavlakis,
  • Michelle Neumann,
  • Dimitrios-Ilias Balourdas,
  • Katharina Kochhan,
  • Nastasja Merle,
  • Imke Bullwinkel,
  • Michael Wanzel,
  • Sabrina Elmshäuser,
  • Julia Teply-Szymanski,
  • Andrea Nist,
  • Tara Procida,
  • Marek Bartkuhn,
  • Katharina Humpert,
  • Marco Mernberger,
  • Rajkumar Savai,
  • Thierry Soussi,
  • Andreas C. Joerger,
  • Thorsten Stiewe

摘要

The mutational landscape of TP53, a tumor suppressor mutated in about half of all cancers, includes over 2,000 known missense mutations. To fully leverage TP53 mutation status for personalized medicine, a thorough understanding of the functional diversity of these mutations is essential. We conducted a deep mutational scan using saturation genome editing with CRISPR-mediated homology-directed repair to engineer 9,225 TP53 variants in cancer cells. This high-resolution approach, covering 94.5% of all cancer-associated TP53 missense mutations, precisely mapped the impact of individual mutations on tumor cell fitness, surpassing previous deep mutational scan studies in distinguishing benign from pathogenic variants. Our results revealed even subtle loss-of-function phenotypes and identified promising mutants for pharmacological reactivation. Moreover, we uncovered the roles of splicing alterations and nonsense-mediated messenger RNA decay in mutation-driven TP53 dysfunction. These findings underscore the power of saturation genome editing in advancing clinical TP53 variant interpretation for genetic counseling and personalized cancer therapy.