Cargando…
Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer
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 diff...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647771/ https://www.ncbi.nlm.nih.gov/pubmed/33178362 http://dx.doi.org/10.1155/2020/8816070 |
_version_ | 1783606976746356736 |
---|---|
author | Yang, Xiangchou Chen, Liping Mao, Yuting Hu, Zijing He, Muqing |
author_facet | Yang, Xiangchou Chen, Liping Mao, Yuting Hu, Zijing He, Muqing |
author_sort | Yang, Xiangchou |
collection | PubMed |
description | 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∗log(2) (CD36) + 0.043∗log(2) (COL5A2) + 0.001∗log(2) (ITGB5) + 0.039∗log(2) (SDC2) + 0.135∗log(2) (SV2B) + 0.012∗log(2) (THBS1) + 0.068∗log(2) (VTN) + 0.023∗log(2) (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. |
format | Online Article Text |
id | pubmed-7647771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-76477712020-11-10 Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer Yang, Xiangchou Chen, Liping Mao, Yuting Hu, Zijing He, Muqing Dis Markers Research Article 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∗log(2) (CD36) + 0.043∗log(2) (COL5A2) + 0.001∗log(2) (ITGB5) + 0.039∗log(2) (SDC2) + 0.135∗log(2) (SV2B) + 0.012∗log(2) (THBS1) + 0.068∗log(2) (VTN) + 0.023∗log(2) (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. Hindawi 2020-10-29 /pmc/articles/PMC7647771/ /pubmed/33178362 http://dx.doi.org/10.1155/2020/8816070 Text en Copyright © 2020 Xiangchou Yang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yang, Xiangchou Chen, Liping Mao, Yuting Hu, Zijing He, Muqing Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer |
title | Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer |
title_full | Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer |
title_fullStr | Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer |
title_full_unstemmed | Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer |
title_short | Progressive and Prognostic Performance of an Extracellular Matrix-Receptor Interaction Signature in Gastric Cancer |
title_sort | progressive and prognostic performance of an extracellular matrix-receptor interaction signature in gastric cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647771/ https://www.ncbi.nlm.nih.gov/pubmed/33178362 http://dx.doi.org/10.1155/2020/8816070 |
work_keys_str_mv | AT yangxiangchou progressiveandprognosticperformanceofanextracellularmatrixreceptorinteractionsignatureingastriccancer AT chenliping progressiveandprognosticperformanceofanextracellularmatrixreceptorinteractionsignatureingastriccancer AT maoyuting progressiveandprognosticperformanceofanextracellularmatrixreceptorinteractionsignatureingastriccancer AT huzijing progressiveandprognosticperformanceofanextracellularmatrixreceptorinteractionsignatureingastriccancer AT hemuqing progressiveandprognosticperformanceofanextracellularmatrixreceptorinteractionsignatureingastriccancer |