开发和验证一个线粒体灾难相关基因预后模型的乳腺癌的发展和验证
Shuai Wang1, Haoyi Zi1, Mengxuan Li1
1The First Affiliated Hospital of Air Force Medical University, Department of Thyroid, Breast and Vascular Surgery, Xi'an, Shaanxi, China.
PeerJ
|September 24, 2024
概括
这项研究使用线粒体灾难相关基因 (MCRGs) 开发了一种乳腺癌预后模型. 该模型预测了患者的生存率和免疫格局,为乳腺癌提供了潜在的治疗点.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 乳腺癌是全世界女性最常见的恶性瘤.
- 线性灾难 (MC) 是细胞死亡途径,在瘤发育中至关重要.
- 乳腺癌中MC相关基因 (MCRGs) 的作用仍然不完全理解.
研究的目的:
- 调查MCRG与乳腺癌发展之间的关系.
- 使用MCRGs构建和验证乳腺癌的预后风险模型.
- 探索与风险模型相关的临床相关性,免疫景观和治疗潜力.
主要方法:
- 利用TCGA和GEO转录组和乳腺癌的临床数据.
- 识别了差异表达的MCRG,并通过COX和LASSO回归构建了一个预后模型.
- 使用Kaplan-Meier和ROC分析评估模型性能;研究了临床相关性,GSEA,免疫景观,TMB,免疫疗法和药物敏感性.
- 使用RT-qPCR验证的基因表达.
主要成果:
- 确定了12个预后性MCRG,其中4个被选择为最终模型.
- 高风险组的整体存活期 (OS) 显著缩短.
- 风险模型表现出乳腺癌预后的独立和出色的预测能力,与临床相关性,免疫格局,TMB和药物敏感性相关.
结论:
- 基于四个MCRG建立了一个新的预后风险模型,用于乳腺癌.
- 这个模型有效地预测临床预后和免疫格局.
- 这些发现提出了乳腺癌治疗的潜在治疗点.
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