Wu Liangyin, Liu Jun, Li Wenli
Department of Clinical Laboratory, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, Guangdong, China.
Medical Research Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, Guangdong, China.
J Dent Sci. 2022 Apr;17(2):991-1000. doi: 10.1016/j.jds.2021.11.002. Epub 2021 Nov 27.
BACKGROUND/PURPOSE: Oral squamous cell carcinoma (OSCC) is a highly malignant tumor, and the overall survival (OS) time of patients with OSCC varies considerably. This study aimed to identify reliable biomarkers for OSCC and construct a new prognostic signature, which may guide personalized precision treatment.
Transcriptome array data of 317 patients with OSCC from The Cancer Genome Atlas Project (TCGA) cohort were retrospectively analyzed. Single-sample gene set enrichment analysis (ssGSEA) and univariate Cox regression were performed to identify the prognostic significance of the hallmarks of each tumor in OSCC. Subsequently, lncRNAs related to glycolysis were identified through co-expression analysis. A glycolysis-related prognostic signature was constructed by combining univariate Cox regression, least absolute shrinkage and selection operator (Lasso) regression, and multivariate Cox regression analyses. Additionally, the infiltration of immune cells in OSCC was evaluated based on data from ssGSEA and TIMER databases.
Glycolysis was identified as the main risk factor for OS in a variety of cancer hallmarks. The 4-lncRNA glycolysis prognostic signature could distinguish high and low-risk patients. This risk signature was found to be an independent prognostic risk factor for OSCC, showing good predictive power compared with other clinicopathological indicators. Immune correlation analysis showed that patients in the low-risk group exhibited higher levels of immune cell infiltration.
The novel 4-lncRNA prognostic signature can predict the clinical outcome of patients with OSCC well, and it is expected to become a promising prognostic biomarker as well as a potential therapeutic target in the future.
背景/目的：口腔鳞状细胞癌（OSCC）是一种高度恶性的肿瘤，OSCC患者的总生存（OS）时间差异很大。本研究旨在识别OSCC可靠的生物标志物并构建新的预后特征，这可能指导个性化精准治疗。
回顾性分析来自癌症基因组图谱计划（TCGA）队列的317例OSCC患者的转录组阵列数据。进行单样本基因集富集分析（ssGSEA）和单变量Cox回归，以确定OSCC中每种肿瘤特征的预后意义。随后，通过共表达分析鉴定与糖酵解相关的lncRNA。通过结合单变量Cox回归、最小绝对收缩和选择算子（Lasso）回归以及多变量Cox回归分析，构建了一个与糖酵解相关的预后特征。此外，基于ssGSEA和TIMER数据库的数据评估OSCC中免疫细胞的浸润情况。
在多种癌症特征中，糖酵解被确定为OS的主要危险因素。4-lncRNA糖酵解预后特征可区分高风险和低风险患者。该风险特征被发现是OSCC的独立预后危险因素，与其他临床病理指标相比显示出良好的预测能力。免疫相关性分析表明，低风险组患者的免疫细胞浸润水平较高。
新的4-lncRNA预后特征能够很好地预测OSCC患者的临床结局，有望在未来成为一种有前景的预后生物标志物以及潜在的治疗靶点。
