Cargando…
Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas
Advances in proteomic and metabolomic technologies have accelerated our understanding of multiple aspects of cancer biology across distinct tumour types. Here we review the current state-of-the-art in the use of proteomics and metabolomics in soft tissue sarcomas. We highlight the utility of these O...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891095/ https://www.ncbi.nlm.nih.gov/pubmed/35171456 http://dx.doi.org/10.1007/s11864-022-00947-3 |
_version_ | 1784661785364660224 |
---|---|
author | Chadha, Madhumeeta Huang, Paul H |
author_facet | Chadha, Madhumeeta Huang, Paul H |
author_sort | Chadha, Madhumeeta |
collection | PubMed |
description | Advances in proteomic and metabolomic technologies have accelerated our understanding of multiple aspects of cancer biology across distinct tumour types. Here we review the current state-of-the-art in the use of proteomics and metabolomics in soft tissue sarcomas. We highlight the utility of these Omics-based methodologies to identify new drug targets, synthetic lethal interactions, candidate therapeutics and novel biomarkers to facilitate patient stratification. Due to the unbiased and global nature of these profiling methods to assess the levels of protein expression, post-translational modifications such as phosphorylation and glycosylation as well as key metabolites, many of these findings have broad applications not just in specific histotypes but across multiple STS subtypes. Specific examples of proteomic and metabolomic findings that have led to the development of early phase clinical trials of investigational agents will be discussed. While promising, the use of these technologies in the study of sarcoma is still limited, and there is a need for further research in this area. In particular, it would be important to integrate these approaches with other Omics strategies such as genomics and epigenomics as well as implement these tools alongside clinical trials in order to maximize the impact of these tools on our biological understanding and treatment of this group of rare diseases of unmet need. |
format | Online Article Text |
id | pubmed-8891095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-88910952022-03-08 Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas Chadha, Madhumeeta Huang, Paul H Curr Treat Options Oncol Sarcoma (SH Okuno, Section Editor) Advances in proteomic and metabolomic technologies have accelerated our understanding of multiple aspects of cancer biology across distinct tumour types. Here we review the current state-of-the-art in the use of proteomics and metabolomics in soft tissue sarcomas. We highlight the utility of these Omics-based methodologies to identify new drug targets, synthetic lethal interactions, candidate therapeutics and novel biomarkers to facilitate patient stratification. Due to the unbiased and global nature of these profiling methods to assess the levels of protein expression, post-translational modifications such as phosphorylation and glycosylation as well as key metabolites, many of these findings have broad applications not just in specific histotypes but across multiple STS subtypes. Specific examples of proteomic and metabolomic findings that have led to the development of early phase clinical trials of investigational agents will be discussed. While promising, the use of these technologies in the study of sarcoma is still limited, and there is a need for further research in this area. In particular, it would be important to integrate these approaches with other Omics strategies such as genomics and epigenomics as well as implement these tools alongside clinical trials in order to maximize the impact of these tools on our biological understanding and treatment of this group of rare diseases of unmet need. Springer US 2022-02-16 2022 /pmc/articles/PMC8891095/ /pubmed/35171456 http://dx.doi.org/10.1007/s11864-022-00947-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Sarcoma (SH Okuno, Section Editor) Chadha, Madhumeeta Huang, Paul H Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas |
title | Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas |
title_full | Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas |
title_fullStr | Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas |
title_full_unstemmed | Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas |
title_short | Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas |
title_sort | proteomic and metabolomic profiling in soft tissue sarcomas |
topic | Sarcoma (SH Okuno, Section Editor) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891095/ https://www.ncbi.nlm.nih.gov/pubmed/35171456 http://dx.doi.org/10.1007/s11864-022-00947-3 |
work_keys_str_mv | AT chadhamadhumeeta proteomicandmetabolomicprofilinginsofttissuesarcomas AT huangpaulh proteomicandmetabolomicprofilinginsofttissuesarcomas |