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TOPICAL COLLECTIONS

Proteomics for Clinical Cancer Research

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Guest Editor

Katie Meehan

Katie Meehan

Chinese University of Hong Kong, Faculty of Medicine

Dr Meehan is a biomedical scientist who graduated from the University of Western Australia with a PhD in cancer biology. After completing her post-doctoral training at the Genome Sciences Centre in Vancouver and the University of Arizona, she undertook a Senior Research Office position at the Hudson Institute of Medical Research in Melbourne, Australia. She subsequently accepted an Assistant Professor position at the University of Western Australia and spent 7 years building a teaching and research program in cancer biology before moving to the Chinese University of Hong Kong. The overarching aim of her research is to improve the understanding of mechanisms of metastases and immunobiology to facilitate identification of novel biomarkers for diagnosis, prognosis, and prediction of head and neck cancers. She also has ongoing research projects in Australia focused on understanding the poor outcomes associated with Indigenous breast cancer and exploring the role and clinical potential of extracellular vesicles in colorectal cancer and melanoma.

Collection Overview

Over the past few decades, we have welcomed a vast array of novel technologies that have enabled the comprehensive analyses of genomes, transcriptomes, and to a lesser extent, proteomes. Although the technical challenges associated with proteomics have offset the promise of rapid biomarker discovery, we forge ahead based on the notion that protein biomarkers have specifically altered oncology clinic practice more than any other type of molecule currently has. Considering that proteins are the functional units within cells, their expression being altered would more likely directly reflect changes in tumour biology. However, roadblocks associated with intra-patient biological variability and the large dynamic range of proteins in traditionally analysed biofluids (plasma and urine) are important challenges.

Traditional proteomics studies have employed antibody-based detection strategies, two-dimensional gel electrophoresis, surface enhanced laser desorption ionization, and other rudimentary technologies, but these have led to incremental advances in the field. Mass spectrometry (MS) is an ever evolving and increasingly powerful methodology that enables comprehensive proteomic analysis of complex biofluids. In this methods collection, we will present the most important and current improvements in MS-based clinical proteomics with a particular focus on cancer biomarkers. We will address the challenges and solutions associated with clinically relevant samples types, best practice sample preparation and quantitation strategies, and MS setup, operation, and data analysis. Beyond finding novel, clinically-relevant biomarkers, rigorous validation is essential for improving early diagnosis, risk stratification, and monitoring patient treatment response.

Articles

Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
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Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis

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Cited by 9

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2021

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