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确定与乳酸相关的子组和预后模型,用于三阴性乳腺癌

Shan-Shan Huang¹, Lin-Yu Wu¹, Yu Qiu¹

¹Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.

Journal of cancer research and clinical oncology

|July 20, 2023

概括

研究人员确定了关键的乳酸基因,以预测侵袭性三阴性乳腺癌 (TNBC) 的结果. 一种新的乳酸相关预后模型 (LRPM) 有效地分层患者的风险,并识别出差分子亚型,以改善临床管理.

科学领域:

在瘤学瘤学.
代谢途径代谢途径
癌症基因组学癌症基因组学

背景情况:

三阴性乳腺癌 (TNBC) 是一种具有高糖解特征的侵袭性亚型.
乳酸盐是糖解的副产物,是一种影响瘤生成和瘤微环境的瘤代谢代谢物.
乳酸在TNBC中的特定作用需要进一步阐明.

研究的目的:

在TNBC中识别与预后相关的乳酸基因 (PLG).
为TNBC开发一个乳酸相关预后模型 (LRPM).
评估LRPM在风险分层方面的临床实用性.

主要方法:

基于乳酸相关基因的TNBC样本的层次分类.
对于PLG选和LRPM构建的Log-rank和LASSO分析.
使用CCK8和克隆形成试验来研究PLG功能;使用ROC和DCA开发和验证名ogram.

主要成果:

TNBC样本被分为两个不同的生存子组.
三个抑制繁殖的基因 (NDUFAF3,CARS2,FH) 被确定为PLG.
开发的LRPM和名图表显示了TNBC预后的强大预测准确性.

结论:

开发了一个新的LRPM用于TNBC风险分层.
该LRPM有助于识别TNBC内的贫穷分子亚型.
该模型显示了在TNBC管理中临床应用的巨大潜力.

关键词:

乳酸盐是一种乳酸盐.这个名字叫做Nomogram.预测模型是一个预测模型.三阴性乳腺癌是三阴性乳腺癌.

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