PO.CL07.01 · 临床研究

通过酪氨酸磷酸化蛋白质组学照亮NSCLC中的激酶星图

Illuminating the kinase starmap in NSCLC via tyrosine phosphoproteomics

编号 2521 展板 28 时间 4/20 09:00–12:00 区域 Section 43 主讲 AIJUAN YU

分会场 Data-Driven Approaches to Precision Oncology

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作者与单位 Authors & Affiliations

Jinfeng Yuan¹, Ying Hu², Yilin Wang¹, Tianhui Zhang³, Aijuan Yu⁴, Yi Liu⁴, Hui Zhou⁴, Chao Zhou⁴, Junjie Hou⁴, Yinyin Xu⁴, Xinxin Xu⁵, Huan Ding⁴, Yuxin Zhang⁴, Rujie Zhong¹, Mengjia Yang¹, Chunyan Chang¹, Hongxuan Yan¹, Yuanyuan Shang¹, Weicong Ren¹, Shanshan Li¹, Hongdong Zhong⁴, Yun Xiao⁴, Zhang Zhang⁵, Naizhong Zheng⁴, Ming Han⁶, Yu Pang¹

¹Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China,²Department of Medical Oncology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China,³Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute,, Beijing, China,⁴DeepKinase Biotechnologies Ltd., Beijing, China,⁵State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, China,⁶Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China

摘要 Abstract

中文摘要

在肺癌治疗中，理解激酶活性，尤其是酪氨酸磷酸化，至关重要但尚不完整。我们使用SH2-Superbinder和数据非依赖采集质谱技术，研究了74例非小细胞肺癌（NSCLC）患者的酪氨酸磷酸化蛋白质组学。我们构建了一张酪氨酸磷酸化星图，该星图以交互式力导向网络的形式呈现，为在肿瘤组织或正常邻近组织（NATs）中活跃的复杂信号通路提供了动态可视化。与在NATs中观察到的密集、无结构的分布不同，肿瘤显示出四个界定明确的子网络星座：黏附连接、细胞骨架动力学、免疫信号和血液。随后，根据激酶活性对患者进行分层，以获得多种精准医疗视角。

查看英文原文 English 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.

利益披露 Disclosure

J. Yuan, None.. Y. Hu, None.. Y. Wang, None.. T. Zhang, None.. A. Yu, None.. Y. Liu, None.. H. Zhou, None.. C. Zhou, None.. J. Hou, None.. Y. Xu, None.. X. Xu, None.. H. Ding, None.. Y. Zhang, None.. R. Zhong, None.. M. Yang, None.. C. Chang, None.. H. Yan, None.. Y. Shang, None.. W. Ren, None.. S. Li, None.. H. Zhong, None.. Y. Xiao, None.. Z. Zhang, None.. N. Zheng, None.. M. Han, None.. Y. Pang, None.

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