Nature CommunicationsCancer BiologyPeer-reviewed journal article
A Hotspot Phosphorylation Site on SHP2 Drives Oncoprotein Activation and Drug Resistance
Prashath KarunarajiD, Remkes ScheeleiD, Malcolm L. WellsiD, Ruchita RathodiD, Ipek Simay GokuluiD, Sophia AbrahamsoniD, Lila TayloriD, Lamia ChowdhuryiD, Abiha KazmiiD, Weixiao Song, Peter V. HornbeckiD, Jing LiiD, Anum Azam GlasgowiD, Neil VasaniD
Abstract
SHP2 is a phosphatase and a critical mediator of receptor tyrosine kinase (RTK)-driven RAS/mitogen-activated protein kinase (MAPK) signaling. Despite promising preclinical data, SHP2 inhibitors have shown minimal clinical efficacy, with no defined clinical mechanisms of primary resistance. Here, we elucidate phosphorylation of SHP2 at tyrosine 62 (pY62) as a hotspot phosphorylation site in the proteome and RTK-driven tumor types in patients. We demonstrate that SRC family kinases directly phosphorylate SHP2 at Y62, downstream of but not directly phosphorylated by RTKs. Using biochemical and biophysical analyses, we show that SHP2 Y62D enforces an open, active conformation, resulting in constitutive phosphatase activation that is sufficient to activate MAPK signaling and confer resistance to allosteric SHP2 inhibitors. These findings establish that SHP2 pY62 is a phosphorylation hotspot phenocopying mutational activation, a mechanism of primary resistance to SHP2 inhibitors, and a cancer drug target distinct from wildtype SHP2. Statement of significanceThis study identifies phosphorylation of SHP2 at tyrosine 62 (pY62) as a conserved mechanism of resistance to allosteric SHP2 inhibitors. By stabilizing an open, active SHP2 conformation, pY62 phenocopies oncogenic PTPN11 mutations and sustains MAPK signaling across cancer types. These findings redefine SHP2 inhibitor resistance as a phosphorylation-driven, target-intrinsic process, nominate pY62 as a potential biomarker for therapeutic response, and propose phosphorylated SHP2 as a distinct drug target.
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- approach: biophysical modeling
- Citations
- 7
- FWCI
- 10.24
- Field percentile
- top 2%
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