Prognostic Value of Eight-Gene Signature in Head and Neck Squamous Carcinoma.
Prognostic Value of Eight-Gene Signature in Head and Neck Squamous Carcinoma.
复制标题
DOI：
10.3389/fonc.2021.657002
复制
发表时间：
2021
影响因子：
4.7
通讯作者：
Heng X
中科院分区：
文献类型：
--
作者：
Liu B;Su Q;Ma J;Chen C;Wang L;Che F;Heng X
头颈癌（HNC）是全球第五大常见癌症。在这项研究中，我们对发现集进行了综合分析，并建立了一个用于预测头颈部鳞状细胞癌（HNSCC）患者预后的8个基因签名。在数据收集后，使用单变量考克斯分析来鉴定GSE 41613、GSE 65858和TCGA-HNSC RNA-Seq数据集中的乳腺癌相关基因（P < 0.05）。我们进行了LASSO考克斯回归分析，并在TCGA-HNSC数据集中鉴定了8个具有非零回归系数的基因（CBX 3、GNA 12、P4 HA 1、PLAU、PPL、RAB 25、EPHX 3和HLF）。生存分析显示，低危组GSE 41613和GSE 65858数据集的总生存期（OS）以及GSE 27020和GSE 42743数据集的无进展生存期（DFS）均优于高危组。为了验证8-mRNA预后模型与其他临床特征无关，对具有不同临床特征的特定亚型进行KM生存分析。单因素和多因素考克斯回归分析用于确定三个独立的预后因素，以构建预后诺模图。最后，GSVA算法确定了在TCGA-HNSC、GSE 65858和GSE 41613数据集的交叉点被激活的六种途径，包括早期雌激素反应、胆固醇稳态、氧化磷酸化、脂肪酸代谢、胆汁酸代谢和Kras信号传导。然而，在三个数据集的交叉点处，上皮-间充质转化途径被抑制。总之，八基因预后标记被证明是一个有用的工具，在预后评估和促进个性化治疗的HNSCC患者。
Head and neck cancer (HNC) is the fifth most common cancer worldwide. In this study, we performed an integrative analysis of the discovery set and established an eight-gene signature for the prediction of prognosis in patients with head and neck squamous cell carcinoma (HNSCC). Univariate Cox analysis was used to identify prognosis-related genes (with P < 0.05) in the GSE41613, GSE65858, and TCGA-HNSC RNA-Seq datasets after data collection. We performed LASSO Cox regression analysis and identified eight genes (CBX3, GNA12, P4HA1, PLAU, PPL, RAB25, EPHX3, and HLF) with non-zero regression coefficients in TCGA-HNSC datasets. Survival analysis revealed that the overall survival (OS) of GSE41613 and GSE65858 datasets and the progression-free survival(DFS)of GSE27020 and GSE42743 datasets in the low-risk group exhibited better survival outcomes compared with the high-risk group. To verify that the eight-mRNA prognostic model was independent of other clinical features, KM survival analysis of the specific subtypes with different clinical characteristics was performed. Univariate and multivariate Cox regression analyses were used to identify three independent prognostic factors to construct a prognostic nomogram. Finally, the GSVA algorithm identified six pathways that were activated in the intersection of the TCGA-HNSC, GSE65858, and GSE41613 datasets, including early estrogen response, cholesterol homeostasis, oxidative phosphorylation, fatty acid metabolism, bile acid metabolism, and Kras signaling. However, the epithelial–mesenchymal transition pathway was inhibited at the intersection of the three datasets. In conclusion, the eight-gene prognostic signature proved to be a useful tool in the prognostic evaluation and facilitate personalized treatment of HNSCC patients.
登录
查看更多内容
从头颈鳞状细胞癌的基因组研究中获得的治疗见解。
影响因子：
28.2
作者：
Hammerman PS;Hayes DN;Grandis JR
通讯作者：
Grandis JR
影响因子：
16.6
作者：
Jiang H;Zhou C;Zhang Z;Wang Q;Wei H;Shi W;Li J;Wang Z;Ou Y;Wang W;Wang H;Zhang Q;Sun W;Sun P;Yang S
通讯作者：
Yang S
昼夜节律调节剂 HLF 的下调通过 PPAR/NF-κ b 信号传导促进非小细胞肺癌的多器官远处转移
影响因子：
9.7
作者：
Chen, Jiarong;Liu, Aibin;Huang, Yanming
通讯作者：
Huang, Yanming
影响因子：
15.9
作者：
Nassiri, Farshad;Mamatjan, Yasin;Zadeh, Gelareh
通讯作者：
Zadeh, Gelareh
影响因子：
45.3
作者：
Harari, Paul M.;Harris, Jonathan;Ang, Kian
通讯作者：
Ang, Kian