2018
DOI: 10.21037/tcr.2018.01.02
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CRISPR-based genetic interaction maps inform therapeutic strategies in cancer

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Cited by 8 publications
(5 citation statements)
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“…The findings revealed that the deletion of the insulin-like growth factor 1 receptor (IGF1R) promotes MET amplification and reduces the mesenchymal level, leading to acquired resistance to erlotinib in these cells. These studies and numerous other studies (Ramkumar and Kampmann, 2018;Jalaleddine et al, 2019;Christodoulou et al, 2021;Akram et al, 2022;Przybyla and Gilbert, 2022) underscore the invaluable role of 2D cellular models in advancing our understanding of cancer biology and facilitating drug development.…”
Section: In Vitro Cancer Modeling Using Crispr/cas9mentioning
confidence: 79%
“…The findings revealed that the deletion of the insulin-like growth factor 1 receptor (IGF1R) promotes MET amplification and reduces the mesenchymal level, leading to acquired resistance to erlotinib in these cells. These studies and numerous other studies (Ramkumar and Kampmann, 2018;Jalaleddine et al, 2019;Christodoulou et al, 2021;Akram et al, 2022;Przybyla and Gilbert, 2022) underscore the invaluable role of 2D cellular models in advancing our understanding of cancer biology and facilitating drug development.…”
Section: In Vitro Cancer Modeling Using Crispr/cas9mentioning
confidence: 79%
“…In addition to prob ing single gene perturbations, CRISPR can be used to identify essential genetic interactions 232,233 . Targeting multiple genes simultaneously in a single cell can reveal synthetic lethal interactions or potential drug combina tions, or define cancer dependencies that are buffered by related, redundant family members (for example, MEK1 and MEK2) 234 .…”
Section: Identifying Gene Interactionsmentioning
confidence: 99%
“…With the help of these libraries, it became possible to conduct genome-wide loss-of-function studies. This approach has been used extensively to map genetic dependencies of cancer lines [72], for systematic discovery of genetic interactions [73] and for elucidation of resistance factors to particular therapies [74].…”
Section: Genome-wide Screeningmentioning
confidence: 99%