Department of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, China.
Department of Breast, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou 510220, Guangdong, China.
Aging (Albany NY). 2020 Jan 22;12(2):1366-1376. doi: 10.18632/aging.102687.
Autophagy is a self-digesting process that can satisfy the metabolic needs of cells, and is closely related to development of cancer. However, the effect of autophagy-related genes (ARGs) on the prognosis of breast cancer remains unclear.
We first found that 27 ARGs were significantly associated with overall survival in breast cancer. The prognosis-related ARGs signature established using the Cox regression model consists of 12 ARGs that can be divided patients into high-risk and low-risk groups. The overall survival of patients with high-risk scores (HR 3.652, 2.410-5.533; P < 0.001) was shorter than patients with low-risk scores. The area under the receiver operating characteristic (ROC) curve for 1-year, 3-year, and 5-year survival rates were 0.739, 0.727, and 0.742, respectively.
The12-ARGs marker can predict the prognosis of breast cancer and thus help individualized treatment of patients at different risks.
Based on the TCGA dataset, we integrated the expression profiles of ARGs in 1,039 breast cancer patients. Differentially expressed ARGs and survival-related ARGs were evaluated by computational difference algorithm and COX regression analysis. In addition, we also explored the mutations in these ARGs. A new prognostic indicator based on ARGs was developed using multivariate COX analysis.
自噬是一种自我消化的过程，可以满足细胞的代谢需求，与癌症的发展密切相关。然而，自噬相关基因（ARGs）对乳腺癌预后的影响尚不清楚。
我们首先发现 27 个 ARGs 与乳腺癌的总生存期显著相关。使用 COX 回归模型建立的预后相关 ARGs 特征由 12 个 ARGs 组成，可将患者分为高风险组和低风险组。高风险评分患者的总生存期（HR 3.652，2.410-5.533；P < 0.001）短于低风险评分患者。1 年、3 年和 5 年生存率的受试者工作特征曲线（ROC）下面积分别为 0.739、0.727 和 0.742。
12-ARGs 标志物可预测乳腺癌的预后，从而有助于不同风险患者的个体化治疗。
基于 TCGA 数据集，我们整合了 1039 例乳腺癌患者的 ARGs 表达谱。通过计算差异算法和 COX 回归分析评估差异表达的 ARGs 和与生存相关的 ARGs。此外，我们还探索了这些 ARGs 的突变。使用多变量 COX 分析开发了基于 ARGs 的新预后指标。
