Department of Hematology and Medical Oncology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000 Zhejiang Province, China.
Department of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000 Zhejiang Province, China.
Dis Markers. 2020 Oct 29;2020:8816070. doi: 10.1155/2020/8816070. eCollection 2020.
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 model = 0.081∗log (CD36) + 0.043∗log (COL5A2) + 0.001∗log (ITGB5) + 0.039∗log (SDC2) + 0.135∗log (SV2B) + 0.012∗log (THBS1) + 0.068∗log (VTN) + 0.023∗log (VWF). The risk score model could well predict the outcome of patients with gastric cancer in both training ( = 351, HR: 1.807, 95% CI: 1.292-2.528, = 0.00046) and validation ( = 300, HR: 1.866, 95% CI: 1.347-2.584, = 0.00014) 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 ( < 0.0001). By univariate (1.845, 95% CI: 1.382-2.462, < 0.001) and multivariate (1.756, 95% CI: 1.284-2.402, < 0.001) 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.
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。本研究对肿瘤组织与配对正常组织中差异表达的 ECM 相关基因、临床病理特征以及在胃癌中的预后应用进行了综合分析。通过配对检验鉴定了癌症基因组图谱(TCGA)和验证队列中肿瘤组织与配对正常组织之间差异表达的 ECM 相关基因。通过共识聚类构建来寻找临床病理特征与亚群之间的相关性。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。进行相关性分析以揭示风险评分分层亚组与临床病理特征或显著特征之间的关系。在 TCGA(26 对)和验证队列(134 对)中,25 个 ECM 相关基因在胃癌中显著高表达,11 个基因低表达。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模型 = 0.081∗log(CD36)+0.043∗log(COL5A2)+0.001∗log(ITGB5)+0.039∗log(SDC2)+0.135∗log(SV2B)+0.012∗log(THBS1)+0.068∗log(VTN)+0.023∗log(VWF)。该风险评分模型可在训练队列( = 351,HR:1.807,95%CI:1.292-2.528, = 0.00046)和验证队列( = 300,HR:1.866,95%CI:1.347-2.584, = 0.00014)中很好地预测胃癌患者的预后。此外,风险评分亚组与血管生成、细胞黏附分子、补体和凝血级联、TGF-β信号通路以及错配修复相关特征( < 0.0001)相关。通过单变量(1.845,95%CI:1.382-2.462, < 0.001)和多变量(1.756,95%CI:1.284-2.402, < 0.001)分析,我们认为风险评分是胃癌的一个独立危险因素。我们的研究结果表明,细胞外基质组成在胃癌的发生、发展和不良生存中成为同谋。