The role of an extracellular matrix- (ECM-) receptor interaction signature has not been fully clarified in gastric cancer. This study performed comprehensive analyses on the differentially expressed ECM-related genes, clinicopathologic features, and prognostic application in gastric cancer. The differentially expressed genes between tumorous and matched normal tissues in The Cancer Genome Atlas (TCGA) and validation cohorts were identified by a paired -test. Consensus clusters were built to find the correlation between clinicopathologic features and subclusters. Then, the least absolute shrinkage and selection operator (lasso) method was used to construct a risk score model. Correlation analyses were made to reveal the relation between risk score-stratified subgroups and clinicopathologic features or significant signatures. In TCGA (26 pairs) and validation cohort (134 pairs), 25 ECM-related genes were significantly highly expressed and 11 genes were downexpressed in gastric cancer. ECM-based subclusters were slightly related to clinicopathologic features. We constructed a risk score . The risk score model could well predict the outcome of patients with gastric cancer in both training (, HR: 1.807, 95% CI: 1.292-2.528, ) and validation (, HR: 1.866, 95% CI: 1.347-2.584, ) cohorts. Besides, risk score-based subgroups were associated with angiogenesis, cell adhesion molecules, complement and coagulation cascades, TGF-beta signaling, and mismatch repair-relevant signatures (). By univariate (1.845, 95% CI: 1.382-2.462, ) and multivariate (1.756, 95% CI: 1.284-2.402, ) analyses, we regarded the risk score as an independent risk factor in gastric cancer. Our findings revealed that ECM compositions became accomplices in the tumorigenesis, progression, and poor survival of gastric cancer.

中文翻译：

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细胞外基质-受体相互作用特征在胃癌中的进展和预后表现

细胞外基质-（ECM-）受体相互作用特征在胃癌中的作用尚未完全阐明。本研究对胃癌中差异表达的ECM相关基因、临床病理特征和预后应用进行了综合分析。在癌症基因组图谱 (TCGA) 和验证队列中，肿瘤组织和匹配的正常组织之间的差异表达基因通过配对-测试。建立共识集群以发现临床病理特征和亚集群之间的相关性。然后，使用最小绝对收缩和选择算子（lasso）方法构建风险评分模型。进行相关分析以揭示风险评分分层亚组与临床病理特征或显着特征之间的关系。在 TCGA（26 对）和验证队列（134 对）中，25 个 ECM 相关基因在胃癌中显着高表达，11 个基因下调。基于 ECM 的亚群与临床病理特征略有相关。我们构建了一个风险评分. 风险评分模型可以很好地预测胃癌患者在两种训练中的结果（, HR: 1.807, 95% CI: 1.292-2.528,)和验证 (, HR: 1.866, 95% CI: 1.347-2.584,)队列。此外，基于风险评分的亚组与血管生成、细胞粘附分子、补体和凝血级联、TGF-β 信号传导和错配修复相关特征相关。）。按单变量 (1.845, 95% CI: 1.382-2.462,)和多变量 (1.756, 95% CI: 1.284-2.402,)分析，我们将风险评分视为胃癌的独立危险因素。我们的研究结果表明，ECM 组合物成为胃癌的肿瘤发生、进展和不良生存的帮凶。