Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer
Joint Authors
Yang, Xiangchou
Mao, Yuting
Hu, Zijing
He, Muqing
Chen, Liping
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-30
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
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 CD36+0.043∗log2 COL5A2+0.001∗log2 ITGB5+0.039∗log2 SDC2+0.135∗log2 SV2B+0.012∗log2 THBS1+0.068∗log2 VTN+0.023∗log2 VWF.
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.
American Psychological Association (APA)
Yang, Xiangchou& Chen, Liping& Mao, Yuting& Hu, Zijing& He, Muqing. 2020. Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer. Disease Markers،Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1154056
Modern Language Association (MLA)
Yang, Xiangchou…[et al.]. Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer. Disease Markers No. 2020 (2020), pp.1-23.
https://search.emarefa.net/detail/BIM-1154056
American Medical Association (AMA)
Yang, Xiangchou& Chen, Liping& Mao, Yuting& Hu, Zijing& He, Muqing. Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1154056
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1154056