| Title |
Co-expression Network Analysis Identified COL8A1 Is Associated with the Progression and Prognosis in Human Colon Adenocarcinoma
|
|---|---|
| Published in |
Digestive Diseases and Sciences, March 2018
|
| DOI | 10.1007/s10620-018-4996-5 |
| Pubmed ID | |
| Authors |
Jian Shang, Fan Wang, Pengfei Chen, Xiaobing Wang, Feng Ding, Shi Liu, Qiu Zhao |
| Abstract |
Human colon adenocarcinoma is one of the major causes of tumor-induced death worldwide. A complicated gene interconnection network significantly regulates its progression and prognosis. The aim of our study was to find hub genes associated with the progression and prognosis of colon adenocarcinoma and to illustrate the underlying mechanisms. A weighted gene co-expression network analysis was performed in our study to identify significant gene modules and hub genes associated with the TNM stage of colon adenocarcinoma (n = 441). In the turquoise module of interest, 23 hub genes were initially selected, and 10 of them were identified as "real" hub genes with high connectivity in the protein-protein interaction network. In the terms of validation, COL8A1 had the highest correlation with clinical traits among all of the hub genes. Data obtained from the Oncomine and GEPIA databases showed a higher expression of COL8A1 in colon adenocarcinoma tissues compared with normal colon tissues. Kaplan-Meier survival curves showed that higher expression of COL8A1 resulted in a shorter overall survival time and disease-free survival time. Univariate and multivariate Cox proportional hazards analyses indicated that the COL8A1 expression was an independent prognostic factor for survival in colon adenocarcinoma patients. Finally, gene set enrichment analysis indicated that the gene sets associated with focal adhesion were significantly enriched in colon adenocarcinoma samples with COL8A1 highly expressed. COL8A1 was identified and proved to be correlated with the progression and prognosis of human colon adenocarcinoma, probably through regulating focal adhesion-related pathways. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Student > Doctoral Student | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Master | 3 | 13% |
| Professor | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Agricultural and Biological Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 6 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2018.
All research outputs
#18,699,725
of 23,854,458 outputs
Outputs from Digestive Diseases and Sciences
#3,249
of 4,304 outputs
Outputs of similar age
#245,673
of 334,156 outputs
Outputs of similar age from Digestive Diseases and Sciences
#60
of 81 outputs
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