Anhui Province Engineering Research Center for Dental Materials and Application, Wannan Medical College, Wuhu, 241002, China.
Oral Disease Research Center, School of Stomatology, Wannan Medical College, Wuhu, 241002, China.
BMC Med Genomics. 2024 Aug 12;17(1):208. doi: 10.1186/s12920-024-01985-6.
Oral squamous cell carcinoma (OSCC), the most prevalent form of oral cancer, poses significant challenges to the medical community due to its high recurrence rate and low survival rate. Mitochondrial Damage-Related Genes (MDGs) have been closely associated with the occurrence, metastasis, and progression of OSCC. Consequently, we constructed a prognostic model for OSCC based on MDGs and identified potential mitochondrial damage-related biomarkers. Gene expression profiles and relevant clinical information were obtained from The Cancer Genome Atlas (TCGA) database. Differential analysis was conducted to identify MDGs associated with OSCC. COX analysis was employed to screen seven prognosis-related MDGs and build a prognostic prediction model for OSCC. Cases were categorized into low-risk or high-risk groups based on the optimal risk score threshold. Kaplan-Meier (KM) analysis revealed significant survival differences (P < 0.05). Additionally, the area under the ROC curve (AUC) for patient survival at 1 year, 3 years, and 5 years were 0.687, 0.704, and 0.70, respectively, indicating a high long-term predictive accuracy of the prognostic model. To enhance predictive accuracy, age, gender, risk score, and TN staging were incorporated into a nomogram and verified using calibration curves. Risk scoring based on MDGs was identified as a potential independent prognostic biomarker. Furthermore, BID and SLC25A20 were identified as two potential independent mitochondrial damage-related prognostic biomarkers, offering new therapeutic targets for OSCC.
口腔鳞状细胞癌（OSCC）是最常见的口腔癌类型，由于其高复发率和低生存率，给医疗界带来了巨大挑战。线粒体损伤相关基因（MDGs）与 OSCC 的发生、转移和进展密切相关。因此，我们基于 MDGs 构建了一个 OSCC 的预后模型，并鉴定了潜在的线粒体损伤相关生物标志物。从癌症基因组图谱（TCGA）数据库中获取基因表达谱和相关临床信息。进行差异分析以确定与 OSCC 相关的 MDGs。使用 COX 分析筛选出七个与预后相关的 MDGs，并构建 OSCC 的预后预测模型。根据最佳风险评分阈值将病例分为低风险或高风险组。Kaplan-Meier（KM）分析显示生存率存在显著差异（P<0.05）。此外，患者 1 年、3 年和 5 年的生存 ROC 曲线下面积（AUC）分别为 0.687、0.704 和 0.70，表明该预后模型具有较高的长期预测准确性。为了提高预测准确性，将年龄、性别、风险评分和 TN 分期纳入列线图，并通过校准曲线进行验证。基于 MDGs 的风险评分被确定为潜在的独立预后生物标志物。此外，BID 和 SLC25A20 被鉴定为两个潜在的独立线粒体损伤相关预后生物标志物，为 OSCC 提供了新的治疗靶点。
