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作 者:Yuying Suo Yuanli Song Yuqiu Wang Qian Liu Henry Rodriguez Hu Zhou
机构地区:[1]Department of Analytical Chemistry,State Key Laboratory of Drug Research,Shanghai Institute of Materia Medica,Chinese Academy of Sciences,Shanghai 201203,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Office of Cancer Clinical Proteomics Research,National Cancer Institute,National Institutes of Health,Rockville,MD 20850,USA [4]Department of Otolaryngology,Eye&ENT Hospital,Fudan University,Shanghai 200031,China
出 处:《Biophysics Reports》2025年第1期56-76,共21页生物物理学报(英文版)
基 金:financially supported by the National Key Research and Development Program(2022YFA1302902 to H.Z.);the Shanghai Municipal Science and Technology Major Project;supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0830000);the National Natural Science Foundation of China(22425703 to H.Z.)。
摘 要:Advancements in molecular characterization technologies have accelerated targeted cancer therapy research at unprecedented resolution and dimensionality.Integrating comprehensive multi-omic molecular profiling of a tumor,proteogenomics,marks a transformative milestone for preclinical cancer research.In this paper,we initially provided an overview of proteogenomics in cancer research,spanning genomics,transcriptomics,and proteomics.Subsequently,the applications were introduced and examined from different perspectives,including but not limited to genetic alterations,molecular quantifications,single-cell patterns,different post-translational modification levels,subtype signatures,and immune landscape.We also paid attention to the combined multi-omics data analysis and pancancer analysis.This paper highlights the crucial role of proteogenomics in preclinical targeted cancer therapy research,including but not limited to elucidating the mechanisms of tumorigenesis,discovering effective therapeutic targets and promising biomarkers,and developing subtype-specific therapies.
关 键 词:PROTEOGENOMICS Targeted cancer therapy Integrated omics analysis
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