Many cancers, including some types of breast cancer, are driven by alterations in the activity of cellular enzymes called kinases.

Therapies that directly inhibit these cancer-promoting activities have proven to be effective for patients in which individual driving kinases can be diagnosed. 

One major challenge to this therapeutic approach is to accurately quantify tumour kinases in human biopsy samples.

Many kinases are not abundantly present and are therefore more difficult to measure accurately.

Although currently there are methods to quantify small amounts of kinases, measuring multiple kinases concurrently is cumbersome and impractical in a clinical setting where rapid data return is critical.

It is crucial to develop methodologies to enrich kinases present in clinical samples, an important step toward effective personalised medicine. 

In a study published in Clinical Proteomics, researchers at Baylor College of Medicine and collaborating institutions report the development of a kinase inhibitor pulldown assay (KiP) that can optimally enrich and quantify the small amounts of kinases present in biopsy samples in combination with mass-spectrometry techniques.  

The researchers established the coverage and quantitative fidelity of the assay for kinases in a single-shot approach, optimised a 100-kinase targeted panel and determined the effectiveness of KiP in subtyping breast cancer patient-derived animal models and two breast cancer patient sample cohorts.  

"Our study represents a convergence of advanced technologies, redefining basic medical research and paving the way for future clinical applications,” said first author Dr. Alexander Saltzman, senior bioinformatics analyst at the Mass Spectrometry Proteomics Core at Baylor.  

“This paper emphasises that new methods in protein mass spectrometry hold great promise for better definition of the individual druggable landscape present in each cancer and should be more widely used for research and, ultimately, clinical care,” said co-corresponding author Dr. Matthew Ellis, faculty at Baylor’s Lester and Sue Smith Breast Center.  

“This methodology’s approach to identifying key kinases in cancer may even extend beyond these enzymes and into other low-abundance and biologically relevant targets,” said co-corresponding author Dr. Beom-Jun Kim, currently an associate director at AstraZeneca and an assistant professor at Baylor at the time of research.  

Doug W. Chan, Matthew V. Holt, Junkai Wang, Eric J. Jaehnig, Meenakshi Anurag, Purba Singh and Anna Malovannaya also contributed to this work. The authors are affiliated with Baylor College of Medicine, the Lester and Sue Smith Breast Center and/or the Dan L Duncan Comprehensive Cancer Center. 

Source: Baylor College of Medicine