Table_1_Genome-Wide Identification of a Novel Eight-lncRNA Signature to Improve Prognostic Prediction in Head and Neck Squamous Cell Carcinoma.XLSX

Objectives: LncRNAs are essential survival prognostic indicators with important biological functions in tumorigenesis and tumor progression. This study aimed to establish a long non-coding RNA (lncRNA) signature that can effectively predict the prognosis of patients with head and neck squamous cell carcinoma (HNSCC) and explore the potential functions of these lncRNAs.
Materials and Methods: We re-annotated RNA sequencing and obtained exhaustive RNA-seq data of 269 patients with comprehensive clinical information from the GEO database. Then an 8-lncRNA signature capable of predicting the survival prognosis of HNSCC patients and a nomogram containing this signature were established. Weighted Co-expression Network Construction (WGCNA), Gene Set Enrichment Analysis (GSEA), and Gene Ontology (GO) enrichment were then applied to predict the possible biological functions of the signature and each individual lncRNA.
Results: Eight lncRNAs associated with survival in HNSCC patients, including AC010624.1, AC130456.4, LINC00608, LINC01300, MIR99AHG, AC008655.1, AC055758.2, and AC118553.1, were obtained by univariate regression, cox LASSO regression, and multivariate regression. Functionally, patients with high signature scores had abnormal immune functions via GSEA. AC010624.1 and AC130456.4 may participate in epidermal cell differentiation and skin development, and MIR99AHG in the formation of cellular structures. Other lncRNAs in the signature may also participate in important biological processes.
Conclusions: Therefore, we established an 8-lncRNA signature that can effectively guide clinical prediction of the prognosis of patients with HNSCC, and individuals with high signature scores may have abnormal immune function.

研究目的：长链非编码RNA（long non-coding RNA, lncRNA）是重要的生存预后标志物，在肿瘤发生与进展中发挥关键生物学功能。本研究旨在构建可有效预测头颈部鳞状细胞癌（head and neck squamous cell carcinoma, HNSCC）患者预后的lncRNA特征模型，并探究此类lncRNA的潜在生物学功能。
材料与方法：本研究对RNA测序数据进行重新注释，从GEO数据库获取了269例具备完整临床信息患者的全面RNA-seq数据。随后构建了可预测HNSCC患者生存预后的8个lncRNA特征模型，并搭建了包含该特征的列线图。进而通过加权基因共表达网络构建（Weighted Co-expression Network Construction, WGCNA）、基因集富集分析（Gene Set Enrichment Analysis, GSEA）及基因本体（Gene Ontology, GO）富集分析，对该特征模型及各单个lncRNA的潜在生物学功能进行预测。
研究结果：通过单因素回归、Cox LASSO回归及多因素回归分析，筛选出与HNSCC患者生存相关的8个lncRNA，分别为AC010624.1、AC130456.4、LINC00608、LINC01300、MIR99AHG、AC008655.1、AC055758.2及AC118553.1。功能分析显示，特征评分较高的患者存在免疫功能异常。其中AC010624.1与AC130456.4可能参与表皮细胞分化及皮肤发育过程，MIR99AHG可能参与细胞结构形成，该特征中的其余lncRNA也可能参与重要生物学进程。
结论：本研究成功构建了可有效指导HNSCC患者预后临床预测的8个lncRNA特征模型，特征评分较高的患者可能存在免疫功能异常。