Proteomic Heterogeneity of the Extracellular Matrix Identifies Histologic Subtype-Specific Fibroblast in Gastric Cancer.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Molecular & Cellular Proteomics Pub Date : 2024-10-01 Epub Date: 2024-09-19 DOI:10.1016/j.mcpro.2024.100843
Hyun Jin Lee, Yoonjin Kwak, Yun Suk Na, Hyejin Kim, Mi Ree Park, Jeong Yeon Jo, Jin Young Kim, Soo-Jeong Cho, Pilnam Kim
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Abstract

Gastric cancer (GC) is a highly heterogeneous disease regarding histologic features, genotypes, and molecular phenotypes. Here, we investigate extracellular matrix (ECM)-centric analysis, examining its association with histologic subtypes and patient prognosis in human GC. We performed quantitative proteomic analysis of decellularized GC tissues that characterizes tumorous ECM, highlighting proteomic heterogeneity in ECM components. We identified 20 tumor-enriched proteins including four glycoproteins, serpin family H member 1 (SERPINH1), annexin family (ANXA3/4/5/13), S100A family (S100A6/8/9), MMP14, and other matrisome-associated proteins. In addition, histopathological characteristics of GC reveals differential expression in ECM composition, with the poorly cohesive carcinoma-not otherwise specified (PCC-NOS) subtype being distinctly demarcated from other histologic subtypes. Integrating ECM proteomics with single-cell RNA sequencing, we identified crucial molecular markers in the PCC-NOS-specific stroma. PCC-NOS-enriched matrisome proteins and gene expression signatures of adipogenic cancer-associated fibroblasts (CAFadi) are closely linked, both associated with adverse outcomes in GC. Using tumor microarray analysis, we confirmed the CAFadi surface marker, ATP binding cassette subfamily A member 8 (ABCA8), predominantly present in PCC-NOS tumors. Our ECM-focused analysis paves the way for studies to determine their utility as biomarkers for patient stratification, offering valuable insights for linking molecular and histologic features in GC.

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细胞外基质的蛋白质组异质性确定了胃癌组织学亚型特异性成纤维细胞。
胃癌(GC)是一种在组织学特征、基因型和分子表型方面高度异质性的疾病。在这里,我们研究了以细胞外基质(ECM)为中心的分析,探讨了它与人类胃癌组织学亚型和患者预后的关系。我们对去细胞化的胃癌组织进行了定量蛋白质组学分析,从而确定了肿瘤 ECM 的特征,突出了 ECM 成分的蛋白质组异质性。我们发现了 20 种肿瘤富集蛋白,包括四种糖蛋白、丝氨酸蛋白家族 H 成员 1(SERPINH1)、Annexin 家族(ANXA3/4/5/13)、S100A 家族(S100A6/8/9)、MMP14 以及其他与基质相关的蛋白。此外,GC 的组织病理学特征揭示了 ECM 成分的不同表达,其中未另作规定的粘连性差的癌亚型(PCC-NOS)与其他组织学亚型截然不同。通过整合 ECM 蛋白组学和单细胞 RNA 测序,我们确定了 PCC-NOS 特异性基质中的关键分子标记。PCC-NOS富集的基质蛋白(PEMs)与脂肪生成性癌相关成纤维细胞(CAFadi)的基因表达特征密切相关,两者都与GC的不良预后有关。通过肿瘤芯片分析,我们证实了CAFadi表面标记物ATP结合盒A亚家族成员8(ABCA8)主要存在于PCC-NOS肿瘤中。我们以 ECM 为重点的分析为确定它们作为生物标记物对患者分层的作用的研究铺平了道路,为将 GC 的分子和组织学特征联系起来提供了宝贵的见解。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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