Abstract In lung cancer treatment, understanding kinase activity, particularly tyrosine phosphorylation, is crucial but incomplete. We studied tyrosine phosphoproteomics in 74 patients with non-small-cell lung cancer (NSCLC) using SH2-Superbinder and data-independent acquisition mass spectrometry. We constructed a tyrosine phosphorylation starmap, This starmap is presented as an interactive force-directed network, providing dynamic visualization of intricate signaling pathways that are active in tumor tissues or normal adjacent tissues (NATs). Unlike the dense, unstructured distribution observed in NATs, the tumors showed four well-defined subnetwork constellations: adherens junctions, cytoskeletal dynamics, immune signaling, and blood. Subsequently, patients were stratified by kinase activity for multiple precision medicine perspectives. Citation Format: Jinfeng Yuan, Ying Hu, Yilin Wang, Tianhui Zhang, Aijuan Yu, Yi Liu, Hui Zhou, Chao Zhou, Junjie Hou, Yinyin Xu, Xinxin Xu, Huan Ding, Yuxin Zhang, Rujie Zhong, Mengjia Yang, Chunyan Chang, Hongxuan Yan, Yuanyuan Shang, Weicong Ren, Shanshan Li, Hongdong Zhong, Yun Xiao, Zhang Zhang, Naizhong Zheng, Ming Han, Yu Pang. Illuminating the kinase starmap in NSCLC via tyrosine phosphoproteomics abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2521.
Yuan et al. (Fri,) studied this question.