Use of MRI, metabolomic, and genomic biomarkers to identify mechanisms of chemoresistance in glioma
- PMID: 35582585
- PMCID: PMC8992521
- DOI: 10.20517/cdr.2019.18
Use of MRI, metabolomic, and genomic biomarkers to identify mechanisms of chemoresistance in glioma
Abstract
Gliomas are the most common form of central nervous system tumor. The most prevalent form, glioblastoma multiforme, is also the most deadly with mean survival times that are less than 15 months. Therapies are severely limited by the ability of these tumors to develop resistance to both radiation and chemotherapy. Thus, new tools are needed to identify and monitor chemoresistance before and after the initiation of therapy and to maximize the initial treatment plan by identifying patterns of chemoresistance prior to the start of therapy. Here we show how magnetic resonance imaging, particularly sodium imaging, metabolomics, and genomics have all emerged as potential approaches toward the identification of biomarkers of chemoresistance. This work also illustrates how use of these tools together represents a particularly promising approach to understanding mechanisms of chemoresistance and the development individualized treatment strategies for patients.
Keywords: Sodium MRI; diffusion; genes; glycolysis; resistance; warburg effect.
© The Author(s) 2019.
Conflict of interest statement
The author declares that there are no conflicts of interest.
Figures







Similar articles
-
Imaging biomarkers guided anti-angiogenic therapy for malignant gliomas.Neuroimage Clin. 2018 Jul 5;20:51-60. doi: 10.1016/j.nicl.2018.07.001. eCollection 2018. Neuroimage Clin. 2018. PMID: 30069427 Free PMC article. Review.
-
A metabolomic data fusion approach to support gliomas grading.NMR Biomed. 2020 Mar;33(3):e4234. doi: 10.1002/nbm.4234. Epub 2019 Dec 11. NMR Biomed. 2020. PMID: 31825557
-
Chemoresistance caused by the microenvironment of glioblastoma and the corresponding solutions.Biomed Pharmacother. 2019 Jan;109:39-46. doi: 10.1016/j.biopha.2018.10.063. Epub 2018 Nov 2. Biomed Pharmacother. 2019. PMID: 30391707 Review.
-
Radiotherapy of high-grade gliomas: current standards and new concepts, innovations in imaging and radiotherapy, and new therapeutic approaches.Chin J Cancer. 2014 Jan;33(1):16-24. doi: 10.5732/cjc.013.10217. Chin J Cancer. 2014. PMID: 24384237 Free PMC article. Review.
-
MRI biomarkers identify the differential response of glioblastoma multiforme to anti-angiogenic therapy.Neuro Oncol. 2014 Jun;16(6):868-79. doi: 10.1093/neuonc/nou040. Epub 2014 Apr 23. Neuro Oncol. 2014. PMID: 24759636 Free PMC article.
References
-
- Hashmi FA, Salim A, Shamim MS, Bari ME. Biological characteristics and outcomes of Gliosarcoma. J Pak Med Assoc. 2018;68:1273–75. - PubMed
Publication types
LinkOut - more resources
Full Text Sources