Identification novel prognostic signatures for Head and Neck Squamous Cell Carcinoma based on ceRNA network construction and immune infiltration analysis.
Identification novel prognostic signatures for Head and Neck Squamous Cell Carcinoma based on ceRNA network construction and immune infiltration analysis.
复制标题
基于 ceRNA 网络构建和免疫浸润分析识别头颈鳞状细胞癌的新预后特征
DOI：
10.7150/ijms.53531
复制
发表时间：
2021
影响因子：
3.6
通讯作者：
Hu G
中科院分区：
文献类型：
--
作者：
Zhou H;He Y;Li L;Wu C;Hu G
背景资料：头颈部鳞状细胞癌（Head and Neck Squamous Cell Carcinoma，HNSCC）是一种常见的恶性肿瘤，发病率和死亡率均较高，但其分子和肿瘤浸润免疫细胞（Tumor Infiltrating-Immune Cells，TIICs）的生物学机制尚不清楚。方法和结果：我们从癌症基因组图谱（TCGA）数据库中获得了546例HNSCC的mRNA、lncRNA和miRNA表达谱，以开发ceRNA网络。采用CIBERSORT法对22种TIIC在HNSCC中所占比例进行估计。使用单变量和多变量考克斯回归和套索回归分析来开发预后特征。然后，分别基于六种ceRNA（ANLN、KIT、PRKAA 2、NFIA、PTX 3和has-miR-148 a-3 p）和三种免疫细胞（幼稚B细胞、调节性T细胞和中性粒细胞）构建两种新的风险标签。Kaplan-Meier（K-M）分析和考克斯回归分析进一步证明这两个特征是独立于多种临床病理特征的显著预后因素。基于ceRNAs-riskScore和TIICs-riskScore构建了两个诺模图，可用于预测HNSCC的预后。共表达分析显示miR-148 a-3 p与幼稚B细胞、幼稚B细胞和浆细胞之间存在显著相关性。结论：通过ceRNA网络的构建和TIIC的估计，我们建立了两个具有良好实用性的风险特征及其诺模图，揭示了HNSCC潜在的分子和细胞机制，并预测了预后。
Background: Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with high mortality and morbidity worldwide, but the underlying biological mechanisms of molecules and tumor infiltrating-immune cells (TIICs) are still unknown. Methods and Results: We obtained mRNAs, lncRNAs, and miRNAs expression profiles of 546 HNSCC from The Cancer Genome Atlas (TCGA) database to develop a ceRNA network. CIBERSORT was employed to estimate the fraction of 22 types of TIICs in HNSCC. Univariate and multivariate Cox regression and lasso regression analyses were used to develop prognostic signatures. Then, two novel risk signatures were constructed respectively based on six ceRNAs (ANLN, KIT, PRKAA2, NFIA, PTX3 and has-miR-148a-3p) and three immune cells (naïve B cells, regulatory T cells and Neutrophils). Kaplan-Meier (K-M) analysis and Cox regression analysis further proved that these two signatures were significant prognostic factors independent of multiple clinicopathological characteristics. Two nomograms were built based on ceRNAs-riskScore and TIICs-riskScore that could be used to predict the prognosis of HNSCC. Co-expression analysis showed significant correlations between miR-148a-3p and naive B cells, naive B cells and plasmas cells. Conclusion: Through construction of the ceRNA network and estimation of TIICs, we established two risk signatures and their nomograms with excellent utility, which indicated the potential molecular and cellular mechanisms, and predicted the prognosis of HNSCC.
登录
查看更多内容
DOI：
10.4049/jimmunol.0903009
发表时间：
2010-04-01
期刊：
Journal of immunology (Baltimore, Md. : 1950)
影响因子：
--
作者：
DiLillo DJ;Yanaba K;Tedder TF
通讯作者：
Tedder TF
乳腺癌中免疫浸润及其临床意义的模式：一项基于基因表达的回顾性研究。
影响因子：
15.8
作者：
Ali HR;Chlon L;Pharoah PD;Markowetz F;Caldas C
通讯作者：
Caldas C
影响因子：
3
作者：
Fan, Qing-Chun;Tian, Hua;Liu, Xian-Bin
通讯作者：
Liu, Xian-Bin
影响因子：
9.7
作者：
Chen, Yin-Quan;Kuo, Jean-Cheng;Chiou, Arthur
通讯作者：
Chiou, Arthur
影响因子：
2.5
作者：
Bao, Qiyan;Liao, Xiangling;Ding, Nan
通讯作者：
Ding, Nan