Regulated Phosphosignaling Associated with Breast Cancer Subtypes and Druggability

Regulated Phosphosignaling Associated with Breast Cancer Subtypes and Druggability
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DOI:
10.1074/mcp.ra118.001243
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发表时间:
2019-08-01
影响因子:
7
通讯作者:
Ding, Li
Ding, Li
中科院分区:
生物学1区
文献类型:
--
作者:
Huang, Kuan-lin;Wu, Yige;Ding, Li

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Phosphorylation of substrate proteins by kinases regulates signaling pathways and cellular mechanisms. Aberrant signaling is a hallmark of cancer. We investigated quantitative associations between kinase-substrate pairs of more than 30 thousand phosphorylation sites in breast tumors and xenografts, finding auto-phosphorylating kinases and kinase-substrate pairs associated with specific cancer subtypes, druggable targets, and ones that show clinically-related or immune signatures. Our study connects driver kinases to their signaling effects toward informing rational targeted treatments of individual breast tumors. Aberrant phospho-signaling is a hallmark of cancer. We investigated kinase-substrate regulation of 33,239 phosphorylation sites (phosphosites) in 77 breast tumors and 24 breast cancer xenografts. Our search discovered 2134 quantitatively correlated kinase-phosphosite pairs, enriching for and extending experimental or binding-motif predictions. Among the 91 kinases with auto-phosphorylation, elevated EGFR, ERBB2, PRKG1, and WNK1 phosphosignaling were enriched in basal, HER2-E, Luminal A, and Luminal B breast cancers, respectively, revealing subtype-specific regulation. CDKs, MAPKs, and ataxia-telangiectasia proteins were dominant, master regulators of substrate-phosphorylation, whose activities are not captured by genomic evidence. We unveiled phospho-signaling and druggable targets from 113 kinase-substrate pairs and cascades downstream of kinases, including AKT1, BRAF and EGFR. We further identified kinase-substrate-pairs associated with clinical or immune signatures and experimentally validated activated phosphosites of ERBB2, EIF4EBP1, and EGFR. Overall, kinase-substrate regulation revealed by the largest unbiased global phosphorylation data to date connects driver events to their signaling effects.