摘要

    背景：自噬是一种自我消化的过程，可以满足细胞的代谢需求，并且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。

结果：我们首先发现27个ARG与乳腺癌的总体生存率显着相关。使用Cox回归模型建立的与预后相关的ARGs签名由12个ARGs组成，可以将患者分为高风险和低风险组。高风险评分患者的总体生存期（HR 3.652，2.410-5.533； P <0.001）比低风险评分患者的总体生存期短。 1年，3年和5年生存率的接受者工作特征（ROC）曲线下面积分别为0.739、0.727和0.742。

结论：12-ARGs标志物可预测乳腺癌的预后，从而有助于对不同风险的患者进行个体化治疗。

方法：基于TCGA数据集，我们整合了1039例乳腺癌患者中ARGs的表达谱。通过计算差异算法和COX回归分析评估差异表达的ARG和与生存相关的ARG。此外，我们还探索了这些ARG中的突变。使用多元COX分析开发了一种基于ARGs的新的预后指标。

关键词：自噬相关基因乳腺癌预后

    Background: 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.

Results: 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.

Conclusion: The12-ARGs marker can predict the prognosis of breast cancer and thus help individualized treatment of patients at different risks.

Methods: 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.

Keywords: autophagy-related genes, breast cancer, prognosis

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053636/