Integrating computational pathology and proteomics to address tumor heterogeneity

JOURNAL OF PATHOLOGY(2022)

引用 9|浏览1
暂无评分
摘要
Despite numerous advances in our molecular understanding of cancer biology, success in precision medicine trials has remained elusive for many malignancies. Emerging evidence now supports that these challenges are partly driven by proteogenomic discordances across molecular readouts and heterogeneous biology that is spatially distributed across tumors. Here we discuss these key limitations and how integrating the promise of mass-spectrometry-based global proteomics and computational imaging can help prioritize and direct regional sampling to help overcome these important challenges of biologic variation in cancer. (c) 2022 The Pathological Society of Great Britain and Ireland.
更多
查看译文
关键词
mass spectrometry, proteomics, artificial intelligence, pathology, computational pathology, deep learning, heterogeneity, cancer
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要