皮肤黑色素瘤中八个关键基因的预后模型构建及临床相关性

Prognostic model development and clinical correlation of eight key genes in skin cutaneous melanoma.

作者信息

Ma Chaoqun, Xie Ling

机构信息

Chengdu Badachu Medical Beauty Hospital, 1-5 Floors, No. 688, Middle Section of Tianfu Avenue, Chengdu High Tech Zone, Pilot Free Trade Zone, Sichuan, China.

Dermatology Department, Chengdu Second People's Hospital, No.10 Qingyun South Street, Jinjiang Zone, Chengdu, Sichuan, 610000, China.

出版信息

Heliyon. 2024 Jul 1;10(13):e33930. doi: 10.1016/j.heliyon.2024.e33930. eCollection 2024 Jul 15.

Cutaneous melanoma (SKCM) is a challenging and increasingly prevalent cancer with limited effective treatments. In our extensive study of 342 SKCM samples, we developed a prognostic model identifying eight key genes-CASPASE7CLEAVEDD198, FOXO3A, Melanoma gp100, CD171, 1433ZETA, SRC, P21, and CABL-linked to SKCM prognosis. Statistical analysis indicated significant differences in clinical outcomes between low and high-risk groups, corroborated by principal component analysis (PCA). Survival analysis and receiver operating characteristic (ROC) curve analysis confirmed the model's predictive accuracy for SKCM prognosis. Additionally, we observed notable correlations between the expression levels of genes related to prognosis and clinical characteristics. Our research offers crucial insights into SKCM prognosis, suggesting potential diagnostic markers and personalized treatment targets.

皮肤黑色素瘤（SKCM）是一种具有挑战性且日益普遍的癌症，有效治疗方法有限。在我们对342个SKCM样本的广泛研究中，我们开发了一种预后模型，确定了八个与SKCM预后相关的关键基因——CASPASE7CLEAVEDD198、FOXO3A、黑色素瘤糖蛋白100、CD171、1433ZETA、SRC、P21和CABL。统计分析表明，低风险组和高风险组的临床结果存在显著差异，主成分分析（PCA）证实了这一点。生存分析和受试者工作特征（ROC）曲线分析证实了该模型对SKCM预后的预测准确性。此外，我们观察到与预后相关的基因表达水平与临床特征之间存在显著相关性。我们的研究为SKCM预后提供了关键见解，提出了潜在的诊断标志物和个性化治疗靶点。