Affiliation:
1. Tumor Biology Lab ICMR‐National Institute of Pathology New Delhi India
2. Department of Veterinary Pharmacology and Toxicology College of Veterinary and Animal Sciences, Kerala Veterinary and Animal Sciences University Thrissur India
3. Biochemistry and Nutrition Division ICAR‐Central Institute of Fisheries Technology Kochi India
Abstract
AbstractPurposeProteoglycans (PGs) are negatively charged macromolecules containing a core protein and single or several glycosaminoglycan chains attached by covalent bond. They are distributed in all tissues, including extracellular matrix (ECM), cell surface, and basement membrane. They are involved in major pathways and cell signalling cascades which modulate several vital physiological functions of the body. They have also emerged as a target molecule for cancer treatment and as possible biomarkers for early cancer detection. Among cancers, breast cancer is a highly invasive and heterogenous type and has become the major cause of mortality especially among women. So, this review revisits the studies on PGs characterization in breast cancer using LC‐MS/MS‐based proteomics approach, which will be further helpful for identification of potential PGs‐based biomarkers or therapeutic targets.Experimental designThere is a lack of comprehensive knowledge on the use of LC‐MS/MS‐based proteomics approaches to identify and characterize PGs in breast cancer.ResultsLC‐MS/MS assisted PGs characterization in breast cancer revealed the vital PGs in breast cancer invasion and progression. In addition, comprehensive profiling and characterization of PGs in breast cancer are efficiently carried out by this approach.ConclusionsProteomics techniques including LC‐MS/MS‐based identification of proteoglycans is effectively carried out in breast cancer research. Identification of expression at different stages of breast cancer is a major challenge, and LC‐MS/MS‐based profiling of PGs can boost novel strategies to treat breast cancer, which involve targeting PGs, and also aid early diagnosis using PGs as biomarkers.
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3 articles.
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