Article ; Online: A proteome-level view of brain tumors for a better understanding of novel diagnosis, prognosis, and therapy.
2023 Volume 20, Issue 12, Page(s) 381–395
Abstract: Introduction: Brain tumors are complex and heterogeneous malignancies with significant challenges in diagnosis, prognosis, and therapy. Proteomics, the large-scale study of proteins and their functions, has emerged as a powerful tool to comprehensively ... ...
Abstract | Introduction: Brain tumors are complex and heterogeneous malignancies with significant challenges in diagnosis, prognosis, and therapy. Proteomics, the large-scale study of proteins and their functions, has emerged as a powerful tool to comprehensively investigate the molecular mechanisms underlying brain tumor regulation. Areas covered: This review explores brain tumors from a proteomic standpoint, highlighting recent progress and insights gained through proteomic methods. It delves into the proteomic techniques employed and underscores potential biomarkers for early detection, prognosis, and treatment planning. Recent PubMed Central proteomic studies (2017-present) are discussed, summarizing findings on altered protein expression, post-translational changes, and protein interactions. This sheds light on brain tumor signaling pathways and their significance in innovative therapeutic approaches. Expert opinion: Proteomics offers immense potential for revolutionizing brain tumor diagnosis and therapy. To unlock its full benefits, further translational research is crucial. Combining proteomics with other omics data enhances our grasp of brain tumors. Validating and translating proteomic biomarkers are vital for better patient results. Challenges include tumor complexity, lack of curated proteomic databases, and the need for collaboration between researchers and clinicians. Overcoming these challenges requires investment in technology, data sharing, and translational research. |
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MeSH term(s) | Humans ; Proteomics/methods ; Proteome/genetics ; Prognosis ; Biomarkers/metabolism ; Brain Neoplasms/diagnosis ; Brain Neoplasms/genetics ; Brain Neoplasms/therapy |
Chemical Substances | Proteome ; Biomarkers |
Language | English |
Publishing date | 2023-12-30 |
Publishing country | England |
Document type | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2299100-1 |
ISSN | 1744-8387 ; 1478-9450 |
ISSN (online) | 1744-8387 |
ISSN | 1478-9450 |
DOI | 10.1080/14789450.2023.2283498 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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