Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Mol Cell Proteomics. 2024 Oct;23(10):100843. doi: 10.1016/j.mcpro.2024.100843. Epub 2024 Sep 19.
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 (CAF) are closely linked, both associated with adverse outcomes in GC. Using tumor microarray analysis, we confirmed the CAF 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.
胃癌(GC)在组织学特征、基因型和分子表型方面具有高度异质性。在这里,我们研究了细胞外基质(ECM)为中心的分析,研究其与人类 GC 的组织学亚型和患者预后的关系。我们对脱细胞 GC 组织进行了定量蛋白质组学分析,该分析描述了肿瘤 ECM,突出了 ECM 成分的蛋白质组异质性。我们确定了 20 种肿瘤富集蛋白,包括 4 种糖蛋白、丝氨酸蛋白酶抑制剂家族 H 成员 1(SERPINH1)、膜联蛋白家族(ANXA3/4/5/13)、S100 家族(S100A6/8/9)、MMP14 和其他基质相关蛋白。此外,GC 的组织病理学特征显示 ECM 组成的差异表达,其中非特殊型低黏附性癌(PCC-NOS)亚型与其他组织学亚型明显区分开来。将 ECM 蛋白质组学与单细胞 RNA 测序相结合,我们在 PCC-NOS 特异性基质中鉴定了关键的分子标记物。PCC-NOS 富集的基质蛋白和脂肪生成性癌相关成纤维细胞(CAF)的基因表达特征密切相关,两者都与 GC 的不良结局相关。使用肿瘤微阵列分析,我们证实了 CAF 表面标志物 ATP 结合盒亚家族 A 成员 8(ABCA8)主要存在于 PCC-NOS 肿瘤中。我们的 ECM 为中心的分析为研究确定它们作为患者分层生物标志物的效用铺平了道路,为将 GC 中的分子和组织学特征联系起来提供了有价值的见解。