Preclinical and Clinical Applications of Metabolomics and Proteomics in Glioblastoma Research

• Published in: International journal of molecular sciences Vol. 24; no. 1; p. 348
• Main Authors: Ahmed, Munazza, Semreen, Ahlam M, El-Huneidi, Waseem, Bustanji, Yasser, Abu-Gharbieh, Eman, Alqudah, Mohammad A Y, Alhusban, Ahmed, Shara, Mohd, Abuhelwa, Ahmad Y, Soares, Nelson C, Semreen, Mohammad H, Alzoubi, Karem H
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 25.12.2022; MDPI AG
• Subjects: clinical applications; glioblastoma; metabolomics; omics; preclinical applications; proteomics; Review; preclinical applications; glioblastoma; pharmacometabolomics; omics; proteomics; clinical applications; metabolomics; biomarkers
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms24010348

Glioblastoma (GB) is a primary malignancy of the central nervous system that is classified by the WHO as a grade IV astrocytoma. Despite decades of research, several aspects about the biology of GB are still unclear. Its pathogenesis and resistance mechanisms are poorly understood, and methods to optimize patient diagnosis and prognosis remain a bottle neck owing to the heterogeneity of the malignancy. The field of omics has recently gained traction, as it can aid in understanding the dynamic spatiotemporal regulatory network of enzymes and metabolites that allows cancer cells to adjust to their surroundings to promote tumor development. In combination with other omics techniques, proteomic and metabolomic investigations, which are a potent means for examining a variety of metabolic enzymes as well as intermediate metabolites, might offer crucial information in this area. Therefore, this review intends to stress the major contribution these tools have made in GB clinical and preclinical research and highlights the crucial impacts made by the integrative "omics" approach in reducing some of the therapeutic challenges associated with GB research and treatment. Thus, our study can purvey the use of these powerful tools in research by serving as a hub that particularly summarizes studies employing metabolomics and proteomics in the realm of GB diagnosis, treatment, and prognosis.