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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http://dx.doi.org/10.1080/14789450.2023.2283498 | DOI Listing |
Cancer J
January 2025
Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL.
There is major interest in deintensifying therapy for isocitrate dehydrogenase-mutant low-grade gliomas, including with single-agent cytostatic isocitrate dehydrogenase inhibitors. These efforts need head-to-head comparisons with proven modalities, such as chemoradiotherapy. Ongoing clinical trials now group tumors by intrinsic molecular subtype, rather than classic clinical risk factors.
View Article and Find Full Text PDFCancer J
January 2025
From the Division of Neuro-Oncology, Department of Neurology and the Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians & Surgeons and NewYork-Presbyterian, New York, NY.
The term "low-grade glioma" historically refers to adult diffuse gliomas that exhibit a less aggressive course than the more common high-grade gliomas. In the current molecular era, "low-grade" refers to World Health Organization central nervous system grade 2 gliomas almost always with an isocitrate dehydrogenase (IDH) mutation (astrocytomas and oligodendrogliomas). The term "lower-grade gliomas" has emerged encompassing grades 2 and 3 IDH-mutant astrocytomas and oligodendrogliomas, to acknowledge that histological grade is not as important a prognostic factor as molecular features, and distinguishing them from grade 4 glioblastomas, which lack an IDH mutation.
View Article and Find Full Text PDFCancer J
January 2025
From the Department of Radiation Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH.
There has been a significant paradigm shift in the clinical management of lower-grade glioma patients given the recent updates to the 2021 World Health Organization classification along with long-term results from randomized phase III clinical trials. As a result, we are now better able to diagnose and assign patients to the most appropriate treatment course. This review provides a comprehensive summary of the most robust and reliable molecular biomarkers for adult lower-grade gliomas and discusses current challenges facing this patient population that future correlative biology studies combined with advancements in technologies could help overcome.
View Article and Find Full Text PDFNeuroinformatics
January 2025
Department of Information Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.
View Article and Find Full Text PDFJ Mol Neurosci
January 2025
Department of Pediatric Neurosurgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Primary brain tumors that were the most severe and aggressive were called glioblastoma multiforme (GBM). Cancers are caused in part by aberrant expression of circular RNA. Often referred to as competitive endogenous RNA (ceRNA), circRNA molecules act as "miRNA sponges" in cells by decreasing the inhibitory impact of miRNA on their target genes and hence raising the expression levels of those genes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!