Progressive and prognostic performance of an extracellular matrix-receptor interaction signature in gastric cancer

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Abstract

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 t-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 ∗ log2 ðCD36Þ + 0:043 ∗ log2 ðCOL5A2Þ + 0:001 ∗ log2 ðITGB5Þ + 0:039 ∗ log2 ðSDC2Þ + 0:135 ∗ log2 ðSV2BÞ + 0:012 ∗ log2 ðTHBS1Þ + 0:068 ∗ log2 ðVTNÞ + 0:023 ∗ log2 ðVWFÞ. The risk score model could well predict the outcome of patients with gastric cancer in both training (n = 351, HR: 1.807, 95% CI: 1.292-2.528, P = 0:00046) and validation (n = 300, HR: 1.866, 95% CI: 1.347-2.584, P = 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 (P < 0:0001). By univariate (1.845, 95% CI: 1.382-2.462, P < 0:001) and multivariate (1.756, 95% CI: 1.284-2.402, P < 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.

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Yang, X., Chen, L., Mao, Y., Hu, Z., & He, M. (2020). Progressive and prognostic performance of an extracellular matrix-receptor interaction signature in gastric cancer. Disease Markers, 2020. https://doi.org/10.1155/2020/8816070

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