Mapping the landscape of genetic dependencies in chordoma
Tanaz Sharifnia1, Mathias J Wawer2,3, Amy Goodale2
1Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA. tanaz@broadinstitute.org.
Abstract:
Identifying the spectrum of genes required for cancer cell survival can reveal essential cancer circuitry and therapeutic targets, but such a map remains incomplete for many cancer types. We apply genome-scale CRISPR-Cas9 loss-of-function screens to map the landscape of selectively essential genes in chordoma, a bone cancer with few validated targets. This approach confirms a known chordoma dependency, TBXT (T; brachyury), and identifies a range of additional dependencies, including PTPN11, ADAR, PRKRA, LUC7L2, SRRM2, SLC2A1, SLC7A5, FANCM, and THAP1. CDK6, SOX9, and EGFR, genes previously implicated in chordoma biology, are also recovered. We find genomic and transcriptomic features that predict specific dependencies, including interferon-stimulated gene expression, which correlates with ADAR dependence and is elevated in chordoma. Validating the therapeutic relevance of dependencies, small-molecule inhibitors of SHP2, encoded by PTPN11, have potent preclinical efficacy against chordoma. Our results generate an emerging map of chordoma dependencies to enable biological and therapeutic hypotheses.
Insights
Researchers mapped essential genes for chordoma survival using CRISPR screens. This identified new therapeutic targets, including PTPN11, with promising preclinical efficacy for this bone cancer.
Area of Science:
- Oncology
- Genomics
- Cancer Biology
Background:
- Identifying genes critical for cancer cell survival is key to understanding cancer circuitry and finding therapeutic targets.
- Chordoma, a bone cancer, has a limited number of validated therapeutic targets, necessitating further research into its essential genetic dependencies.
Purpose of the Study:
- To map the landscape of selectively essential genes in chordoma using genome-scale CRISPR-Cas9 loss-of-function screens.
- To identify novel therapeutic targets and understand the genetic dependencies driving chordoma.
- To correlate genomic and transcriptomic features with specific gene dependencies.
Main Methods:
- Genome-scale CRISPR-Cas9 loss-of-function screens were employed to identify essential genes in chordoma.
- Bioinformatic analyses were used to correlate genomic and transcriptomic data with identified gene dependencies.
- Preclinical efficacy of small-molecule inhibitors targeting identified dependencies was evaluated.
Main Results:
- The study confirmed TBXT (T; brachyury) as a chordoma dependency and identified new dependencies including PTPN11, ADAR, PRKRA, LUC7L2, SRRM2, SLC2A1, SLC7A5, FANCM, and THAP1.
- Previously implicated genes like CDK6, SOX9, and EGFR were also recovered.
- Interferon-stimulated gene expression was found to correlate with ADAR dependence and is elevated in chordoma.
- Small-molecule inhibitors targeting SHP2 (PTPN11) demonstrated potent preclinical efficacy.
Conclusions:
- The research provides a map of chordoma dependencies, offering new avenues for biological and therapeutic exploration.
- PTPN11, encoding SHP2, is a validated therapeutic target for chordoma, with inhibitors showing significant preclinical activity.
- Understanding gene dependencies and their correlation with molecular features can guide precision medicine approaches in chordoma treatment.
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