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

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 W...

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Veröffentlicht in:Science (American Association for the Advancement of Science) 2021-10, Vol.374 (6563), p.eabf2911-eabf2911
Hauptverfasser: Swaney, Danielle L, Ramms, Dana J, Wang, Zhiyong, Park, Jisoo, Goto, Yusuke, Soucheray, Margaret, Bhola, Neil, Kim, Kyumin, Zheng, Fan, Zeng, Yan, McGregor, Michael, Herrington, Kari A, O'Keefe, Rachel, Jin, Nan, VanLandingham, Nathan K, Foussard, Helene, Von Dollen, John, Bouhaddou, Mehdi, Jimenez-Morales, David, Obernier, Kirsten, Kreisberg, Jason F, Kim, Minkyu, Johnson, Daniel E, Jura, Natalia, Grandis, Jennifer R, Gutkind, J Silvio, Ideker, Trey, Krogan, Nevan J
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Sprache:eng
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Zusammenfassung: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.
ISSN:0036-8075
1095-9203
DOI:10.1126/science.abf2911