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The advancement of CRISPR mediated gene engineering provides an opportunity to improve upon preclinical human cell line models of cancer predisposing syndromes. This review focuses on using CRISPR/Cas9 genome editing tools to model various human cancer predisposition syndromes. We examine the genetic mutations associated with neurofibromatosis type 1, Li-Fraumeni syndrome, Gorlin syndrome, BRCA mutant breast and ovarian cancers, and APC mutant cancers. Furthermore, we discuss the possibilities of using next-generation CRISPR-derived precision gene editing tools to introduce a variety of genetic lesions into human cell lines. The goal is to improve the quality of preclinical models surrounding these cancer predisposition syndromes through dissecting the effects of these mutations on the development of cancer and to provide new insights into the underlying mechanisms of these cancer predisposition syndromes. These studies demonstrate the continued utility and improvement of CRISPR/Cas9-induced human cell line models in studying the genetic basis of cancer., (© 2023 The Authors. Genes, Chromosomes and Cancer published by Wiley Periodicals LLC.)

Advances in genome and tissue engineering have spurred significant progress and opportunity for innovation in cancer modeling. Human induced pluripotent stem cells (iPSCs) are an established and powerful tool to study cellular processes in the context of disease-specific genetic backgrounds; however, their application to cancer has been limited by the resistance of many transformed cells to undergo successful reprogramming. Here, we review the status of human iPSC modeling of solid tumors in the context of genetic engineering, including how base and prime editing can be incorporated into "bottom-up" cancer modeling, a term we coined for iPSC-based cancer models using genetic engineering to induce transformation. This approach circumvents the need to reprogram cancer cells while allowing for dissection of the genetic mechanisms underlying transformation, progression, and metastasis with a high degree of precision and control. We also discuss the strengths and limitations of respective engineering approaches and outline experimental considerations for establishing future models.