
Haploid genetic screens identify genetic vulnerabilities to microtubule‐targeting agents
Author(s) -
Gerhards Nora M.,
Blomen Vincent A.,
Mutlu Merve,
Nieuwenhuis Joppe,
Howald Denise,
Guyader Charlotte,
Jonkers Jos,
Brummelkamp Thijn R.,
Rottenberg Sven
Publication year - 2018
Publication title -
molecular oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.332
H-Index - 88
eISSN - 1878-0261
pISSN - 1574-7891
DOI - 10.1002/1878-0261.12307
Subject(s) - biology , vinorelbine , mitosis , genetic screen , synthetic lethality , gene , genetics , cancer research , phenotype , dna repair , cisplatin , chemotherapy
The absence of biomarkers to accurately predict anticancer therapy response remains a major obstacle in clinical oncology. We applied a genome‐wide loss‐of‐function screening approach in human haploid cells to characterize genetic vulnerabilities to classical microtubule‐targeting agents. Using docetaxel and vinorelbine, two well‐established chemotherapeutic agents, we sought to identify genetic alterations sensitizing human HAP 1 cells to these drugs. Despite the fact that both drugs act on microtubules, a set of distinct genes were identified whose disruption affects drug sensitivity. For docetaxel, this included a number of genes with a function in mitosis, while for vinorelbine we identified inactivation of FBXW 7 , RB 1 , and NF 2 , three frequently mutated tumor suppressor genes, as sensitizing factors. We validated these genes using independent knockout clones and confirmed FBXW 7 as an important regulator of the mitotic spindle assembly. Upon FBXW 7 depletion, vinorelbine treatment led to decreased survival of cells due to defective mitotic progression and subsequent mitotic catastrophe. We show that haploid insertional mutagenesis screens are a useful tool to study genetic vulnerabilities to classical chemotherapeutic drugs by identifying thus far unknown sensitivity factors. These results provide a rationale for investigating patient response to vinca alkaloid‐based anticancer treatment in relation to the mutational status of these three tumor suppressor genes, and could in the future lead to the establishment of novel predictive biomarkers or suggest new drug combinations based on molecular mechanisms of drug sensitivity.