基于口腔状细胞癌中免疫代谢相关基因的预后模型的构建和验证
Bo Yang1, Yu Wan1, Jieqiong Wang1
1Department of Pathology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, PR China.
Computational biology and chemistry
|October 24, 2024
概括
这项研究确定了用于口腔癌预后的关键免疫和代谢基因. 一个开发的九基因模型准确地预测了患者的存活率,有助于口腔状细胞癌 (OSCC) 风险分层.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 代谢学 代谢学 代谢学
- 基因组学就是基因组学.
背景情况:
- 在全球范围内,口腔状细胞癌 (OSCC) 的发病率和死亡率正在上升.
- 免疫相关基因 (IRG) 和代谢相关基因 (MRG) 在OSCC的发展和进展中至关重要.
- 识别预后生物标志物对于改善OSCC患者的治疗结果至关重要.
研究的目的:
- 为了确定与OSCC预后相关的免疫代谢相关基因 (IMRGs).
- 构建和验证基于IMRG的OSCC的预后模型.
- 探索分子亚型及其与患者存活时间的相关性.
主要方法:
- 使用了癌症基因组图谱 (TCGA) 和基因表达总汇 (GEO) 数据集.
- 在OSCC中进行差异分析以确定IRG和MRG.
- 采用单变Cox分析,拉索-Cox回归和非负矩阵因子化 (NMF) 集群.
主要成果:
- 通过NMF聚类确定了OSCC的三个不同的分子亚型,其中C2显示出更好的生存率.
- 开发了一种9个IMRG预后模型,有效地将患者分为高风险和低风险组.
- 低风险组的整体存活时间 (OS) 和无进展存活时间 (PFS) 显著较长;风险得分是独立的预后因素.
结论:
- 九个IMRG预后模型显示了强大的预测能力OSCC患者的结果.
- 在风险组之间观察到明显的免疫和代谢途径丰富,强调了它们的作用.
- 该模型有可能在OSCC风险评估和个性化治疗策略中进行临床应用.
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