Proteomics for Precision Oncology: Lessons from Liver Cancer

It is an exciting time for the field of proteomics, which has finally demonstrated the capabilities the term has long suggested. Today it is possible to deeply analyze the proteomes of up to 100 human samples at depth on a single instrument in a single day. Recent advances now make it possible to analyze previously impossible samples such as single human cells and body fluids at depths of thousands of proteins per sample. With mature technologies it is time to finally apply these tools to large cohort studies. This review aims to provide a summary of the current technologies and their capabilities and how they may be applied to precision oncology.

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Publication Details

Journal
Annual Review of Pathology Mechanisms of Disease
Published
2026-09-25
DOI
https://doi.org/10.1146/annurev-pathmechdis-042424-123909
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Proteomics for Precision Oncology: Lessons from Liver Cancer

Shelby Ruiz, Benjamin C. Orsburn, Amanda Smythers
Annual Review of Pathology Mechanisms of Disease
Advanced Proteomics Techniques and Applications
article

Proteomics for Precision Oncology: Lessons from Liver Cancer

Shelby Ruiz, Benjamin C. Orsburn, Amanda Smythers
article en

Abstract

It is an exciting time for the field of proteomics, which has finally demonstrated the capabilities the term has long suggested. Today it is possible to deeply analyze the proteomes of up to 100 human samples at depth on a single instrument in a single day. Recent advances now make it possible to analyze previously impossible samples such as single human cells and body fluids at depths of thousands of proteins per sample. With mature technologies it is time to finally apply these tools to large cohort studies. This review aims to provide a summary of the current technologies and their capabilities and how they may be applied to precision oncology.

Annual Review of Pathology Mechanisms of Disease
Harvard University (US), Dana-Farber Cancer Institute (US)
Openalex Percentile: Top 23%
Advanced Proteomics Techniques and Applications
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