ISSN: 1837-9664Journal of Cancer
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J Cancer 2020; 11(20):5918-5928. doi:10.7150/jca.46328 This issue Cite
Research Paper
Development and validation of a DNA repair gene signature for prognosis prediction in Colon Cancer
1. Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
2. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
3. Institute of Pathology, Fudan University, Shanghai 200032, China.
4. Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
*These authors contributed equally to this work.
Citation:
Wang X, Tan C, Ye M, Wang X, Weng W, Zhang M, Ni S, Wang L, Huang D, Huang Z, Xu M, Sheng W. Development and validation of a DNA repair gene signature for prognosis prediction in Colon Cancer. J Cancer 2020; 11(20):5918-5928. doi:10.7150/jca.46328. https://www.jcancer.org/v11p5918.htm
Other stylesAbstract
Aberrant expression of DNA repair genes (DRGs) can be related to tumor progression and clinical outcomes in colon cancer. Here, we aimed to establish a DRGs signature to identify the vital prognostic DRGs in colon cancer. Firstly, gene set enrichment analysis (GSEA) was performed to demonstrate the association between abnormal expression level of DRGs and tumorigenesis. Then, a total of 476 DRGs were obtained for detecting candidate biomarkers in randomly selected 295 cases from The Cancer Genome Atlas (TCGA) colon cancer cohort. Eleven genes were screened by LASSO Cox regression analyses to develop the prognostic model. Then, the prognostic model and the expression levels of the eleven genes were validated using the internal validation dataset (the rest 125 cases in TCGA cohort) and an external validation dataset (obtained from Gene Expression Omnibus dataset). Further analysis revealed the independent prognostic capacity of the prognostic model in relation to other clinical characteristics. The receiver operating characteristic (ROC) curve analysis confirmed the good performance of the prognostic model. Furthermore, we provided a nomogram for interpreting the clinical application of the 11-DRG signature. In conclusion, we propose a newly developed 11-DRG signature as a practical prognostic predictor for patients with colon cancer, which can facilitate the individualized counselling and treatment.
Keywords: colon cancer, DNA repair, prognosis, TCGA, GEO
Citation styles
APA
Wang, X., Tan, C., Ye, M., Wang, X., Weng, W., Zhang, M., Ni, S., Wang, L., Huang, D., Huang, Z., Xu, M., Sheng, W. (2020). Development and validation of a DNA repair gene signature for prognosis prediction in Colon Cancer. Journal of Cancer, 11(20), 5918-5928. https://doi.org/10.7150/jca.46328.
ACS
Wang, X.; Tan, C.; Ye, M.; Wang, X.; Weng, W.; Zhang, M.; Ni, S.; Wang, L.; Huang, D.; Huang, Z.; Xu, M.; Sheng, W. Development and validation of a DNA repair gene signature for prognosis prediction in Colon Cancer. J. Cancer 2020, 11 (20), 5918-5928. DOI: 10.7150/jca.46328.
NLM
Wang X, Tan C, Ye M, Wang X, Weng W, Zhang M, Ni S, Wang L, Huang D, Huang Z, Xu M, Sheng W. Development and validation of a DNA repair gene signature for prognosis prediction in Colon Cancer. J Cancer 2020; 11(20):5918-5928. doi:10.7150/jca.46328. https://www.jcancer.org/v11p5918.htm
CSE
Wang X, Tan C, Ye M, Wang X, Weng W, Zhang M, Ni S, Wang L, Huang D, Huang Z, Xu M, Sheng W. 2020. Development and validation of a DNA repair gene signature for prognosis prediction in Colon Cancer. J Cancer. 11(20):5918-5928.
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