Development of prognosis model for colon cancer based on autophagy-related genes
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(2020) 18:285
RESEARCH
Open Access
Development of prognosis model for colon cancer based on autophagy-related genes Xu Wang, Yuanmin Xu, Ting Li, Bo Chen and Wenqi Yang*
Abstract Background: Autophagy is an orderly catabolic process for degrading and removing unnecessary or dysfunctional cellular components such as proteins and organelles. Although autophagy is known to play an important role in various types of cancer, the effects of autophagy-related genes (ARGs) on colon cancer have not been well studied. Methods: Expression profiles from ARGs in 457 colon cancer patients were retrieved from the TCGA database (https://portal.gdc.cancer.gov). Differentially expressed ARGs and ARGs related to overall patient survival were identified. Cox proportional-hazard models were used to investigate the association between ARG expression profiles and patient prognosis. Results: Twenty ARGs were significantly associated with the overall survival of colon cancer patients. Five of these ARGs had a mutation rate ≥ 3%. Patients were divided into high-risk and low-risk groups based on Cox regression analysis of 8 ARGs. Low-risk patients had a significantly longer survival time than high-risk patients (p < 0.001). Univariate and multivariate Cox regression analysis showed that the resulting risk score, which was associated with infiltration depth and metastasis, could be an independent predictor of patient survival. A nomogram was established to predict 1-, 3-, and 5-year survival of colon cancer patients based on 5 independent prognosis factors, including the risk score. The prognostic nomogram with online webserver was more effective and convenient to provide information for researchers and clinicians. Conclusion: The 8 ARGs can be used to predict the prognosis of patients and provide information for their individualized treatment. Keywords: Autophagy-related genes, Prognosis model, Colon cancer, TCGA
Introduction Despite rapid advances in medical science and technology, cancer incidence and cancer-related mortality rates are increasing rapidly worldwide [1]. Patients with early stage colon cancer can be successfully treated by surgery; however, most patients with advanced colon cancer experience recurrence and metastasis and typically exhibit 5-year survival rates < 10% [2–4]. Although tumor size, stage, and histological grade are often used to predict prognosis of colon cancer patients, these indicators do * Correspondence: [email protected] Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230032, Anhui, China
not accurately predict patient survival and are not useful for developing individualized treatment regimens. With the development of chemotherapy and targeted therapeutics, the overall survival rate of colon cancer patients has increased significantly. Carcinoembryonic antigen (CEA) has been widely used in colon cancer diagnosis, but more efficient molecular biomarkers for early diagnosis and advanced therapeutic agents are needed to improve prognosis and treatme
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