PO.CL01.12 · 临床研究

空间多组学分析捕获HER2异质性FFPE乳腺癌组织中的功能特征

Spatial multi-omic profiling to capture functional signatures in HER2-heterogeneous FFPE breast cancer tissue

海报缩略图:空间多组学分析捕获HER2异质性FFPE乳腺癌组织中的功能特征
编号 1219 展板 20 时间 4/19 02:00–05:00 区域 Section 47 主讲 Young June Jeon, BS;MS
分会场 Spatial Proteomics and Transcriptomics 1
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作者与单位 Authors & Affiliations

Dongyoon Shin1, Sumin Lee2, Young June Jeon3, Jeongwoo Hong4, Sohyun Yang5, Amos Chungwon Lee4, Han Suk Ryu5, Youngsoo Kim1, Sungwoo Cho6, Song-A Park6, Sihun Cho7, Sungho Ko6, Junho Park8

1CHA Research Institute, CHA Bundang Medical Center, Seongnam-si, Korea, Republic of,2Meteor Biotech Co., Ltd., Seoul,3Department of Life Sciences, CHA University, Seongnam-si, Korea, Republic of,4Meteor Biotech, Seoul, Korea, Republic of,5Seoul National University Hospital, Seoul, Korea, Republic of,6Humanase Co, Seongnam, Korea, Republic of,7CHA University, Department of Biotechnology, Seongnam-si, Korea, Republic of,8School of Medicine, CHA University, Seongnam-si, Korea, Republic of

摘要 Abstract

中文摘要
HER2阳性乳腺癌的瘤内异质性可导致可变的治疗应答,但其在福尔马林固定石蜡包埋(FFPE)组织中的空间解析分子特征尚未完全阐明。在本研究中,我们应用空间多组学分析来探究同一HER2阳性乳腺癌组织内HER2表达的区域差异如何在蛋白质组和转录组水平上得到反映。使用苏木精-伊红(H&E)染色和HER2免疫组织化学(IHC)引导的空间解析激光激活细胞分选(SLACS),我们从FFPE肿瘤切片中分离出对应于HER2高表达和HER2低表达区域的200 μm × 200 μm × 10 μm感兴趣区域(ROI),并采用优化的痕量级LC-MS工作流程进行分析。为将分析扩展到多组学水平,我们额外对来自同一组织切片的相邻ROI进行了RNA测序。该方法在每个ROI(约60-80个细胞)中一致地定量了平均超过4,400种蛋白,共鉴定出6,116种蛋白,并揭示了HER2高表达与HER2低表达区域之间1,188种差异表达蛋白(DEP)。对HER2高表达区域上调的DEP进行蛋白-蛋白相互作用网络分析,揭示了紧密连接的功能模块,主要与蛋白质合成、代谢、细胞内运输和细胞应激反应相关;而HER2低表达区域上调的DEP则富集于与线粒体和能量代谢、细胞外基质组织以及细胞分化和细胞骨架调节相关的模块。经典通路分析进一步显示,乳腺癌中的标志性HER2信号通路,连同PI3K/AKT和mTOR相关通路,被预测在HER2高表达区域被激活,而若干肿瘤微环境相关通路和sirtuin信号通路被预测受到抑制,表明致癌和微环境信号网络存在区域特异性重连。尽管HER2相关通路在转录组和蛋白质组数据中均富集,但通路激活在蛋白质组中得到更清晰的解析,提示存在转录后调控,并突显了从蛋白质组学中获得的额外功能信息。总之,这些结果表明,对HER2异质性FFPE乳腺癌组织进行空间多组学分析可捕获与HER2表达变化相关的区域特异性通路活性和生物学功能。
查看英文原文 English abstract
Intratumoral heterogeneity in human epidermal growth factor receptor 2 (HER2)-positive breast cancer can lead to variable therapeutic responses, but its spatially resolved molecular characteristics in formalin-fixed, paraffin-embedded (FFPE) tissue are not fully characterized. In this study, we applied spatial multi-omic profiling to investigate how regional differences in HER2 expression within the same HER2-positive breast cancer tissue are reflected at the proteome and transcriptome levels. Using hematoxylin and eosin (H&E) and HER2 immunohistochemistry (IHC)-guided spatially resolved laser-activated cell sorting (SLACS), we isolated 200 μm × 200 μm × 10 μm regions of interest (ROIs) corresponding to HER2-high and HER2-low areas from FFPE tumor sections and analyzed them with an optimized trace-level LC-MS workflow. To extend the analysis to the multi-omics level, we additionally performed RNA sequencing on adjacent ROIs from the same tissue sections. This approach consistently quantified an average of more than 4,400 proteins per ROI (approximately 60-80 cells), yielding a total of 6,116 identified proteins and revealing 1,188 differentially expressed proteins (DEPs) between HER2-high and HER2-low regions. Protein-protein interaction network analysis of DEPs upregulated in HER2-high regions revealed tightly connected functional modules mainly related to protein synthesis, metabolism, intracellular trafficking, and cellular stress responses, whereas DEPs upregulated in HER2-low regions were enriched in modules associated with mitochondrial and energy metabolism, extracellular matrix organization, and cellular differentiation and cytoskeletal regulation. Canonical pathway analysis further showed that hallmark HER2 signaling in breast cancer, together with PI3K/AKT and mTOR-related pathways, were predicted to be activated in HER2-high regions, while several tumor microenvironment-associated pathways and sirtuin signaling pathways were predicted to be inhibited, indicating region-specific rewiring of oncogenic and microenvironmental signaling networks. Although HER2-related pathways were enriched in both transcriptomic and proteomic data, pathway activation was more clearly resolved in the proteome, suggesting post-transcriptional regulation and highlighting the added functional information obtained from proteomics. Collectively, these results indicate that spatial multi-omic profiling of HER2-heterogeneous FFPE breast cancer tissue captures region-specific pathway activities and biological functions associated with varying HER2 expression.
利益披露 Disclosure
D. Shin, None.. Y. Jeon, None.. J. Hong, None.. S. Yang, None.. A. C. Lee, None.. H. Ryu, None.. Y. Kim, None.. S. Cho, None.. S. Park, None.. S. Cho, None.. S. Ko, None.. J. Park, None.

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