乳腺癌中的新兴生物标志物:精密瘤学中的翻译和多学科视角
Azra Yasmin1, Ritesh Jha1, Aarti Passi2
1Department of Pharmaceutical Chemistry, ISF College of Pharmacy, Moga, India.
概括
新兴的乳腺癌生物标志物,包括多基因和人工智能驱动的方法,正在改善诊断和治疗. 本综述涵盖了精确瘤学的遗传,表观遗传,蛋白质组和液体活检标志物.
科学领域:
- 在瘤学瘤学.
- 生物标志物发现发现
- 翻译研究是翻译研究.
背景情况:
- 乳腺癌是全球死亡的主要原因,需要先进的诊断和治疗工具.
- 经典生物标志物 (ER,PR,HER2) 存在局限性,导致需要新的方法.
研究的目的:
- 审查新兴的乳腺癌生物标志物,从分子机制到临床应用.
- 突出多态学和人工智能辅助生物标志物发现方面的进展.
- 讨论生物标志物验证和翻译方面的挑战和未来方向.
主要方法:
- 关于分子机制,临床验证和翻译应用的综合文献综述.
- 专注于遗传,表观遗传,蛋白质组,代谢组和液体活检标志物.
- 在计算病理学和数据协调中对人工智能的分析.
主要成果:
- 从传统标记的演变到下一代多态和人工智能驱动的发现.
- 确定液体活检的关键成分 (ctDNA甲基化,外体RNA,EVs).
- 对生物标志物验证挑战的批判性分析:可靠性,可重复性,标准化和异质性.
结论:
- 新兴的生物标志物正在改变乳腺癌的诊断,预后和治疗选择.
- 整合模型和个性化诊断对于未来的进步至关重要.
- 解决监管障碍和确保现实世界的临床翻译是关键优先事项.
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