新兴乳腺癌亚种群:功能异质性超越经典亚型
Amalia Kotsifaki1, Georgia Kalouda1, Efthymios Karalexis1
1Physiology Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece.
International journal of molecular sciences
|December 11, 2025
概括
乳腺癌比以前想象的更复杂,发现了新的亚型. 这些新兴的乳腺癌 (BC) 分类提供了更好的预后,并指导了针对性疾病的向治疗.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物标志物 生物标志物
背景情况:
- 乳腺癌 (BC) 被认为是一种异质性疾病,超过了传统的分类,如光线A / B,HER2丰富和三阴性 (TNBC).
- 新兴的子群体,如HER2低,克劳丁低,BRCA缺乏 (BRCAness) 和精细的TNBC子群 (例如光线AR,基底类免疫变异) 呈现出新的复杂性.
- 这些新的分类提供了更好的预后洞察力和治疗途径.
研究的目的:
- 综合审查新出现的乳腺癌亚型,超越经典的分类学.
- 在定义这些子组时,整合多原子和液体活检生物标志物的证据.
- 突出这些生物标志物对向治疗的预测价值和瘤微环境 (TME) 的作用.
主要方法:
- 从基因组,表观遗传和蛋白质组分析中整合证据.
- 分析与免疫相关的生物标志物和液体活检数据.
- 对研究瘤微环境 (TME) 和瘤内异质性的研究进行审查.
主要成果:
- 新的乳腺癌分类,包括HER2-low,claudin-low,BRCAness和精细的TNBC子集,提供了更大的生物分辨率.
- 这些新出现的亚型与不同的预后有关,并预测针对性治疗的反应,如抗体-药物合物,PARP抑制剂和免疫检查点抑制剂.
- 瘤微环境 (TME) 和内异质性显著影响这些新兴乳腺癌实体的生物学和临床行为.
结论:
- 识别新出现的乳腺癌亚型代表了向动态,生物标志物驱动的精确瘤学转变的范式.
- 这些在临床上可行的群体使得更好的患者分层和更精细的预后,积极的乳腺癌.
- 从静态受体模型转向动态,生物标志物驱动的框架对于推进乳腺癌治疗至关重要.
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