Autophagy-Related Signature for Head and Neck Squamous Cell Carcinoma.

Autophagy-Related Signature for Head and Neck Squamous Cell Carcinoma.
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DOI:
10.1155/2020/8899337
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Yuan K
Yuan K
中科院分区:
医学4区
文献类型:
--
作者:
Li C;Wu ZH;Yuan K

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头颈鳞状细胞癌(HNSCC)是世界上最常见的恶性肿瘤之一,生存率低且生活质量差。据报道,自噬相关基因(ATG)参与恶性肿瘤的发生和进展。在这里,我们的目的是研究自噬相关基因与 HNSCC 患者预后之间的关联。 我们通过分析癌症基因组图谱 (TCGA) 和人类自噬数据库 (HADb) 的数据集获得了具有预后价值的 ATG。通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析自噬差异基因的富集功能。采用Kaplan-Meier法进行生存曲线分析。建立了预后自噬相关基因特征,并验证了其独立性。 我们总共获取了 529 个样本和 232 个 ATG;此外,我们还鉴定了 45 个与预后相关的基因,并根据 15 个基因的风险评分构建了预后自噬特征。根据风险评分将患者分为两组。 Kaplan-Meier曲线显示,训练组和验证组中高危组的生存率均显着低于低危组。 ROC曲线显示,风险评分在第3年和第5年的AUC值最高,分别达到0.703和0.724,高于性别、年龄、TNM分期等其他危险因素。列线图进一步证实了其在 HNSCC 患者预后中的权重。通过KEGG和GO富集分析,我们观察到ATGs通过多种介导途径参与肿瘤的发生和侵袭。我们获得了 3 个中心基因(MAP1LC3B、FADD 和 LAMP1),并进一步分析了在线网站上的生存曲线、突变、差异表达及其在肿瘤中的作用。 我们发现了一种新的自噬相关特征,可能为 HNSCC 的治疗和预后提供有前景的生物标志物基因。我们需要将其应用于临床来验证其预后价值。
Head and neck squamous cell carcinoma (HNSCC) is one of the most common malignancies in the world, with low survival and poor quality of life. Autophagy-associated genes (ATGs) have been reported to be involved in the initiation and progression of malignancies. Here, we aimed to investigate the association between autophagy-associated genes and the outcomes in HNSCC patients. We obtained ATGs with prognostic values by analyzing the datasets from The Cancer Genome Atlas (TCGA) and Human Autophagy Database (HADb). The enrichment functions of autophagy differential genes were analyzed by Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The Kaplan-Meier method was applied to the survival curve analysis. A prognostic autophagy-related gene signature was established, and its independence was verified. We acquired a total of 529 samples and 232 ATGs; further, we identified 45 genes associated with prognosis and built a prognosis autophagy signature based on risk score of 15 genes. Patients were divided into two groups based on risk scores. The Kaplan-Meier curve illustrated that the survival rate of the high-risk group was significantly lower than that of the low-risk group in both the training group and validation group. The ROC curve revealed that the risk score had the highest AUC value in the 3rd and 5th years, reaching 0.703 and 0.724, which are higher than other risk factors such as gender, age, and TNM stage. The nomogram further confirmed its weight in the prognosis of HNSCC patients. Through KEGG and GO enrichment analyses, we observed that ATGs were involved in the tumorigenesis and invasion of tumor by various mediating pathways. We gained 3 hub genes (MAP1LC3B, FADD, and LAMP1) and further analyzed the survival curves, mutations, differential expressions, and their roles in tumors on the online websites. We identified a novel autophagy-related signature that may provide promising biomarker genes for the treatment and prognosis of HNSCC. We need to validate its prognostic value by applying it to the clinic.
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