Combined gene essentiality scoring improves the prediction of cancer dependency maps.

ABSTRACT:

Background

Probing genetic dependencies of cancer cells can improve our understanding of tumour development and progression, as well as identify potential drug targets. CRISPR-Cas9-based and shRNA-based genetic screening are commonly utilized to identify essential genes that affect cancer growth. However, systematic methods leveraging these genetic screening techniques to derive consensus cancer dependency maps for individual cancer cell lines are lacking.

Finding

In this work, we first explored the CRISPR-Cas9 and shRNA gene essentiality profiles in 42 cancer cell lines representing 10 cancer types. We observed limited consistency between the essentiality profiles of these two screens at the genome scale. To improve consensus on the cancer dependence map, we developed a com

SUBMITTER: Wang W 

PROVIDER: S-EPMC6923492 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature