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Outlier kinase expression by RNA sequencing as targets for precision therapy
Vishal Kothari1, Iris Wei, Sunita Shankar
1Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA.
Identifying "outlier kinases" through RNA sequencing reveals novel, sample-specific therapeutic targets in breast and pancreatic cancers. These aberrant protein kinases can be effectively targeted for precision medicine approaches.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- Protein kinases are crucial therapeutic targets in cancer treatment.
- Identifying kinase aberrations is a key area in cancer genomics.
- Understanding kinase expression patterns can reveal new therapeutic strategies.
Purpose of the Study:
- To identify distinct "outlier kinases" in individual breast and pancreatic cancer samples.
- To investigate the therapeutic potential of these outlier kinases.
- To assess the utility of RNA sequencing for identifying precision therapeutic targets.
Main Methods:
- Analysis of transcriptome sequencing data from 482 cancer and benign samples across 25 tissue types.
- Definition of outlier kinases based on absolute and differential gene expression.
- Validation of outlier kinase dependencies using siRNA knockdown and pharmacologic inhibition.
Main Results:
- Distinct outlier kinases were identified in breast (e.g., ERBB2, FGFR4) and pancreatic cancers (e.g., MET, AKT2, PLK2).
- Outlier kinases demonstrated sample-specific dependencies in cell line models.
- Outlier expression of polo-like kinases in pancreatic cancer correlated with sensitivity to a pan-PLK inhibitor.
Conclusions:
- Outlier kinases represent effective, sample-specific precision therapeutic targets.
- RNA sequencing is a viable method for identifying these targets in tumors.
- Targeting outlier kinases offers a promising avenue for precision oncology.
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