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Phosphoprotein-based biomarkers as predictors for cancer therapy.

Authors :
Carter, Angela M.
Chunfeng Tan
Pozo, Karine
Telange, Rahul
Molinaro, Roberto
Ailan Guo
De Rosa, Enrica
Martinez, Jonathan O.
Shanrong Zhang
Kumar, Nilesh
Masaya Takahashi
Wiederhold, Thorsten
Ghayee, Hans K.
Oltmann, Sarah C.
Pacak, Karel
Woltering, Eugene A.
Hatanpaa, Kimmo J.
Fiemu E. Nwariaku
Grubbs, Elizabeth G.
Gill, Anthony J.
Source :
Proceedings of the National Academy of Sciences of the United States of America. 8/4/2020, Vol. 117 Issue 31, p18401-18411. 11p.
Publication Year :
2020

Abstract

Disparities in cancer patient responses have prompted widespread searches to identify differences in sensitive vs. nonsensitive populations and form the basis of personalized medicine. This customized approach is dependent upon the development of pathway-specific therapeutics in conjunction with biomarkers that predict patient responses. Here, we show that Cdk5 drives growth in subgroups of patients with multiple types of neuroendocrine neoplasms. Phosphoproteomics and high throughput screening identified phosphorylation sites downstream of Cdk5. These phosphorylation events serve as biomarkers and effectively pinpoint Cdk5-driven tumors. Toward achieving targeted therapy, we demonstrate that mouse models of neuroendocrine cancer are responsive to selective Cdk5 inhibitors and biomimetic nanoparticles are effective vehicles for enhanced tumor targeting and reduction of drug toxicity. Finally, we show that biomarkers of Cdk5-dependent tumors effectively predict response to anti-Cdk5 therapy in patient-derived xenografts. Thus, a phosphoprotein-based diagnostic assay combined with Cdk5-targeted therapy is a rational treatment approach for neuroendocrine malignancies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
117
Issue :
31
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
145014457
Full Text :
https://doi.org/10.1073/pnas.2010103117