A Five-gene Signature for Predicting the Prognosis of Colorectal Cancer

Title:A Five-gene Signature for Predicting the Prognosis of Colorectal Cancer

Volume: 21 Issue: 4

Author(s): Junfeng Hong, Xiangwu Lin, Xinyu Hu, Xiaolong Wu and Wenzheng Fang*

Affiliation:

• Department of Oncology, Fuzhou General Hospital of Fujian Medical University, East Hospital Affiliated to Xiamen University (the 900th Hospital of The Joint Logistics Support Force of Chinese PLA), Dongfang Hospital, Xiamen University, Fuzhou, Fujian, 350025,China

Keywords: Prognosis, signature, CRC, predictive, CLDN23, FABP4, MMP10, CXCL13.

Abstract:

Background: Colorectal cancer (CRC) is a kind of tumor with high incidence and its treatment situation is still very difficult despite the constant renewal and development of treatment methods.

Objective: To assist the prognosis, monitoring and survival of CRC patients with a model.

Methods: In this study, we established a new prognostic model for CRC. Four groups of CRC data were accessed from the GEO database, and then differential analysis (logFoldChange>1, adjust- P<0.05) was carried out by using the limma package along with the RobustRankAggreg package used to identify the overlapping differentially expressed genes (DEGs). Univariate and multivariate Cox regression analyses were performed on the DEGs to screen the genes related to the patient’s prognosis, and a five-gene prognostic prediction model (including RPX, CXCL13, MMP10, FABP4 and CLDN23) was constructed. Then, we further plotted ROC curves to evaluate the predictive performance of the five-gene prognostic signature in the TCGA data sets (the AUC values of 1, 3, 5-year survival were 0.68, 0.632, 0.675, respectively) and an external independent data set GSE2962 (the AUC values of 1, 3, 5-year survival were 0.689, 0.702, 0.631, respectively).

Results: The results showed that the model could effectively predict the prognosis of CRC patients, which provides a robust predictive model for the prognosis of CRC patients.

Conclusion: The model could effectively predict the prognosis of CRC patients, which provides a robust predictive model for the prognosis of CRC patients.

Cite this article as:

Hong Junfeng , Lin Xiangwu , Hu Xinyu , Wu Xiaolong and Fang Wenzheng*, A Five-gene Signature for Predicting the Prognosis of Colorectal Cancer, Current Gene Therapy 2021; 21 (4) . https://dx.doi.org/10.2174/1566523220666201012151803