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Mass Spectrometry-Based Proteomics for Next-Generation Precision Oncology.

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Mass spectrometry reviews 2026 Vol.45(2) p. 361-391
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Lin KT, Muneer G, Huang PR, Chen CS, Chen YJ

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Cancer is the leading cause of death worldwide characterized by patient heterogeneity and complex tumor microenvironment.

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APA Lin KT, Muneer G, et al. (2026). Mass Spectrometry-Based Proteomics for Next-Generation Precision Oncology.. Mass spectrometry reviews, 45(2), 361-391. https://doi.org/10.1002/mas.21932
MLA Lin KT, et al.. "Mass Spectrometry-Based Proteomics for Next-Generation Precision Oncology.." Mass spectrometry reviews, vol. 45, no. 2, 2026, pp. 361-391.
PMID 40269546 ↗
DOI 10.1002/mas.21932

Abstract

Cancer is the leading cause of death worldwide characterized by patient heterogeneity and complex tumor microenvironment. While the genomics-based testing has transformed modern medicine, the challenge of diverse clinical outcomes highlights unmet needs for precision oncology. As functional molecules regulating cellular processes, proteins hold great promise as biomarkers and drug targets. Mass spectrometry (MS)-based clinical proteomics has illuminated the molecular features of cancers and facilitated discovery of biomarkers or therapeutic targets, paving the way for innovative strategies that enhance the precision of personalized treatment. In this article, we introduced the tools and current achievements of MS-based proteomics, choice of discovery and targeted MS from discovery to validation phases, profiling sensitivity from bulk samples to single-cell level and tissue to liquid biopsy specimens, current regulatory landscape of MS-based protein laboratory-developed tests (LDTs). The challenges, success and future perspectives in translating research MS assay into clinical applications are also discussed. With well-designed validation studies to demonstrate clinical benefits and meet the regulatory requirements for both analytical and clinical performance, the future of MS-based assays is promising with numerous opportunities to improve cancer diagnosis, treatment, and monitoring.

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