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Published on: October 3, 2025
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.
Abstract:
Protein kinases represent the most effective class of therapeutic targets in cancer; therefore, determination of kinase aberrations is a major focus of cancer genomic studies. Here, we analyzed transcriptome sequencing data from a compendium of 482 cancer and benign samples from 25 different tissue types, and defined distinct "outlier kinases" in individual breast and pancreatic cancer samples, based on highest levels of absolute and differential expression. Frequent outlier kinases in breast cancer included therapeutic targets like ERBB2 and FGFR4, distinct from MET, AKT2, and PLK2 in pancreatic cancer. Outlier kinases imparted sample-specific dependencies in various cell lines, as tested by siRNA knockdown and/or pharmacologic inhibition. Outlier expression of polo-like kinases was observed in a subset of KRAS-dependent pancreatic cancer cell lines, and conferred increased sensitivity to the pan-PLK inhibitor BI-6727. Our results suggest that outlier kinases represent effective precision therapeutic targets that are readily identifiable through RNA sequencing of tumors.
Insights
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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