Clinical applications of mass spectrometry‐based proteomics in cancer: Where are we?. Issue 7 (26th August 2022)

• Record Type: Journal Article
• Authors: Boys, Emma L.; Liu, Jia; Robinson, Phillip J.; Reddel, Roger R.
• Other Names: Guo Tiannan guestEditor.; Aebersold Ruedi guestEditor.
• Is Part Of: Proteomics. Volume 23:Issue 7/8(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-08-26
• Subjects: biomarkers -- cancer -- data‐independent acquisition mass spectrometry -- personalized medicine -- proteomics; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.202200238
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract: Tumor tissue processing methodologies in combination with data‐independent acquisition mass spectrometry (DIA‐MS) have emerged that can comprehensively analyze the proteome of multiple tumor samples accurately and reproducibly. Increasing recognition and adoption of these technologies has resulted in a tranche of studies providing novel insights into cancer classification systems, functional tumor biology, cancer biomarkers, treatment response and drug targets. Despite this, with some limited exceptions, MS‐based proteomics has not yet been implemented in routine cancer clinical practice. Here, we summarize the use of DIA‐MS in studies that may pave the way for future clinical cancer applications, and highlight the role of alternative MS technologies and multi‐omic strategies. We discuss limitations and challenges of studies in this field to date and propose steps for integrating proteomic data into the cancer clinic.