Litcius/Paper detail

A protein network map of head and neck cancer reveals PIK3CA mutant drug sensitivity

Danielle L. Swaney, Dana J. Ramms, Zhiyong Wang, Jisoo Park, Yusuke Goto, Margaret Soucheray, Neil E. Bhola, Kyumin Kim, Fan Zheng, Yan Zeng, Michael McGregor, Kari A. Herrington, Rachel A. O’Keefe, Nan Jin, Nathan K. VanLandingham, Helene Foussard, John Von Dollen, Mehdi Bouhaddou, David Jimenez‐Morales, Kirsten Obernier, Jason F. Kreisberg, Minkyu Kim, Daniel E. Johnson, Natalia Jura, Jennifer R. Grandis, J. Silvio Gutkind, Trey Ideker, Nevan J. Krogan

2021Science75 citationsDOIOpen Access PDF

Abstract

We outline a framework for elucidating tumor genetic complexity through multidimensional protein-protein interaction maps and apply it to enhancing our understanding of head and neck squamous cell carcinoma. This network uncovers 771 interactions from cancer and noncancerous cell states, including WT and mutant protein isoforms. Prioritization of cancer-enriched interactions reveals a previously unidentified association of the fibroblast growth factor receptor tyrosine kinase 3 with Daple, a guanine-nucleotide exchange factor, resulting in activation of Gαi- and p21-activated protein kinase 1/2 to promote cancer cell migration. Additionally, we observe mutation-enriched interactions between the human epidermal growth factor receptor 3 (HER3) receptor tyrosine kinase and PIK3CA (the alpha catalytic subunit of phosphatidylinositol 3-kinase) that can inform the response to HER3 inhibition in vivo. We anticipate that the application of this framework will be valuable for translating genetic alterations into a molecular and clinical understanding of the underlying biology of many disease areas.

Topics & Concepts

CancerMutantComputational biologyMutationPoint mutationBiologyDrug discoverySuppressorHead and neck squamous-cell carcinomaHead and neck cancerGeneticsGeneBioinformaticsCancer researchBioinformatics and Genomic NetworksGenetic Associations and EpidemiologyComputational Drug Discovery Methods