蛋白质组学
基质
浆液性液体
激光捕获显微切割
卵巢癌
生物
癌症
癌症研究
病理
生物信息学
计算生物学
医学
免疫组织化学
内科学
基因
基因表达
生物化学
作者
Linyuan Fan,Yi Liu,Haichao Zhou,Yang Feng,Guangyi Jiang,Guixue Hou,Zhihan Cao,Zhiguo Zheng,Lu Sun,Hao Chen,Yuefei Zhang,Weiran Chen,Yun Xi,Benliang Cheng,Qinghai Yang,Yan Ren,Jianqing Zhu,Siqi Liu
摘要
Abstract High‐grade serous ovarian carcinoma (HGSC) is a lethal malignancy characterized by high incidence, mortality, and chemoresistance. However, its molecular drivers are unknown. In this study, spatially resolved proteomics was applied to 1144 formalin‐fixed paraffin‐embedded tissue spots obtained by laser capture microdissection from 10 patients with HGSC and divergent carboplatin‐paclitaxel (CP) responses. Specific sampling revealed stroma‐driven tumour heterogeneity, identifying 642 tumour‐specific and 180 stroma‐specific proteins, with 505 CP‐responsive therapeutic targets. Most of these protein signatures represented previously unreported associations with chemoresistance in HGSCs. Two clinically significant spatial proteomic maps were generated by introducing tumour (TS) and chemical (CS) scores. TS analysis revealed conserved tissue architecture across CP response groups, whereas CS mapping revealed pretreatment metabolic reprogramming (rather than proliferation) as the defining feature of chemo‐resistant tumours, challenging current resistance paradigms. Immunohistochemical validation of HGSC tissue microarrays confirmed the spatial proteomic localization of TFRC and PDLIM3, which are linked to tumour progression, while establishing their novel role as chemotherapy resistance biomarkers through this study, with broader predictive potential observed across additional targets in the discovery cohort. This study developed a spatially resolved proteomic framework to enhance the diagnostic and therapeutic strategies for HGSC. Key points HGSC intra‐tumour heterogeneity is predominantly driven by stroma, as revealed by spatial proteomic compartmentalization (tumour/stroma). Spatial proteomics expands the therapeutic target database, enabling prediction of platinum‐based chemotherapy response. Chemo‐resistant patients exhibit pre‐treatment metabolic activation rather than proliferative signatures. TFRC (iron transport) and PDLIM3 (cytoskeletal remodelling) are spatially validated as chemo‐response biomarkers.
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