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.

Cancer Discovery
|February 7, 2013
PubMed

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.