Abstract
Glioblastoma (GBM) presents a significant public health challenge as the deadliest and most common malignant brain tumor in adults. Despite standard-of-care treatment, which includes surgery, radiation, and chemotherapy, mortality rates are high, underscoring the critical need for advancing GBM therapy. Over the past two decades, numerous clinical trials have been performed, yet only a small fraction demonstrated a benefit, raising concerns about the predictability of current preclinical models. Traditionally, preclinical studies utilize treatment-naïve tumors, failing to model the clinical scenario where patients undergo standard-of-care treatment prior to recurrence. Recurrent GBM generally exhibits distinct molecular alterations influenced by treatment selection pressures. In this review, we discuss the impact of treatment—surgery, radiation, and chemotherapy—on GBM. We also provide a summary of treatments used in preclinical models, advocating for their integration to enhance the translation of novel strategies to improve therapeutic outcomes in GBM.
Document Type
Article
Publication Date
2024
Digital Object Identifier (DOI)
https://doi.org/10.3390/cancers16152638
Funding Information
This research was supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health, grant number R01NS107548 (BB); the National Center for Advancing Translational Sciences of the National Institutes of Health, grant number TL1TR001997 (LTR); and the Northern Kentucky/Greater Cincinnati UK Alumni Club Fellowship (LTR). The content is solely the authors’ responsibility and does not necessarily represent the official views of the NINDS or the NIH.
Repository Citation
Rodgers, Louis; Villano, John L.; Hartz, Anika M. S.; and Bauer, Björn, "Glioblastoma Standard of Care: Effects on Tumor Evolution and Reverse Translation in Preclinical Models" (2024). UK CARES Faculty Publications. 28.
https://uknowledge.uky.edu/ukcares_facpub/28
Notes/Citation Information
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).