新出现的特征以及瘤复杂性和异质性的增加
Hasmiq L Arora1, Gopinath Sekar1, Anushka Phadnis1
1Cancer and Translational Research Lab, Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, 411033, India.
Biochemistry and biophysics reports
|November 28, 2025
概括
本综述将经典和新兴癌症的特征统一到一个层次模型中. 这一框架有助于理解瘤动态和异质性,以提高精确瘤学和患者护理.
科学领域:
- 在瘤学瘤学.
- 癌症生物学 癌症生物学
- 基因组学就是基因组学.
背景情况:
- 癌症是一种复杂的疾病,其特点是遗传,表观遗传和环境因素.
- 瘤的特征,如增殖,免疫逃避和代谢重编程,都在不断更新.
- 整合这些特征对于推进癌症诊断和治疗至关重要.
研究的目的:
- 在多个生物层面上呈现癌症特征的更新框架.
- 为了统一经典和新兴瘤的标志.
- 突出新兴技术在理解瘤异质性的作用.
主要方法:
- 审查有关癌症特征的当前文献.
- 将古典和新兴的标志集成到一个层次模型中.
- 应用人工智能驱动的多omics集成和超高分辨率成像.
主要成果:
- 一个更新的框架,详细介绍了细胞内,细胞,细胞间和细胞外水平的癌症特征.
- 一个统一的层次模型连接不同的瘤标志.
- 强调瘤的动态和异质性.
结论:
- 了解新出现的瘤特征是揭示瘤动态和异质性的关键.
- 这个统一的模型为推进精密瘤学提供了一个概念创新.
- 该框架具有用于诊断,预后和个性化癌症治疗的翻译潜力.
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