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| Content Provider | Springer Nature : BioMed Central |
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| Author | Zou, Yi-feng Rong, Yu-ming Tan, Ying-xin Xiao, Jian Yu, Zhao-liang Chen, Yu-feng Ke, Jia Li, Cheng-hang Chen, Xi Wu, Xiao-jian Lan, Ping Lin, Xu-tao Gao, Feng |
| Abstract | Background The hypoxic tumor microenvironment accelerates the invasion and migration of colorectal cancer (CRC) cells. The aim of this study was to develop and validate a hypoxia gene signature for predicting the outcome in stage I/II CRC patients that have limited therapeutic options. Methods The hypoxic gene signature (HGS) was constructed using transcriptomic data of 309 CRC patients with complete clinical information from the CIT microarray dataset. A total of 1877 CRC patients with complete prognostic information in six independent datasets were divided into a training cohort and two validation cohorts. Univariate and multivariate analyses were conducted to evaluate the prognostic value of HGS. Results The HGS consisted of 14 genes, and demarcated the CRC patients into the high- and low-risk groups. In all three cohorts, patients in the high-risk group had significantly worse disease free survival (DFS) compared with those in the low risk group (training cohort—HR = 4.35, 95% CI 2.30–8.23, P < 0.001; TCGA cohort—HR = 2.14, 95% CI 1.09–4.21, P = 0.024; meta-validation cohort—HR = 1.91, 95% CI 1.08–3.39, P = 0.024). Compared to Oncotype DX, HGS showed superior predictive outcome in the training cohort (C-index, 0.80 vs 0.65) and the validation cohort (C-index, 0.70 vs 0.61). Pathway analysis of the high- and low-HGS groups showed significant differences in the expression of genes involved in mTROC1, G2-M, mitosis, oxidative phosphorylation, MYC and PI3K–AKT–mTOR pathways (P < 0.005). Conclusion Hypoxic gene signature is a satisfactory prognostic model for early stage CRC patients, and the exact biological mechanism needs to be validated further. |
| Related Links | https://cancerci.biomedcentral.com/counter/pdf/10.1186/s12935-019-0964-1.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14752867 |
| DOI | 10.1186/s12935-019-0964-1 |
| Journal | Cancer Cell International |
| Issue Number | 1 |
| Volume Number | 19 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2019-09-23 |
| Access Restriction | Open |
| Subject Keyword | Cancer Research Cell Biology Hypoxia genes Prognostic Colorectal cancer Prediction model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cancer Research Genetics Oncology |
| Journal Impact Factor | 5.3/2023 |
| 5-Year Journal Impact Factor | 5/2023 |
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