A methylome-based score to predict survival after regorafenib in recurrent glioblastoma
Lay Summary Glioblastoma is an aggressive brain cancer that often returns after treatment, and doctors need better ways to predict which patients will benefit from specific drugs. The authors of this study wanted to see whether patterns of chemical changes on tumor DNA could help predict how patients respond to a drug called regorafenib. To do this, they analyzed tumor samples from 33 patients with recurrent glioblastoma and compared these DNA patterns with how long patients lived and how long their disease stayed under control after treatment. They found that certain DNA patterns were linked to better responses to regorafenib, while specific genetic changes were associated with shorter survival, and they developed a DNA-based score that could help identify patients less likely to benefit from the drug.
Authors
- Ciro Mazzarella (ORCID: https://orcid.org/0000-0002-3465-2264)
- Martina Offi
- Simona Gaudino (ORCID: https://orcid.org/0000-0003-1681-4343)
- Rosellina Russo (ORCID: https://orcid.org/0000-0002-1791-5085)
- Giuliano Di Monaco
- Maria Laura Falchetti (ORCID: https://orcid.org/0000-0002-8755-0042)
- Silvia Chiesa (ORCID: https://orcid.org/0000-0003-0168-3459)
- Flavia Vinciarelli
- Lucia Ricci-Vitiani
- Maria Antonietta Gambacorta
- Evelina Miele
- Antonella Martino
- Lucia Pedace
- Maurizio Martini
- Angela Mastronuzzi
- Marco Gessi
- Roberto Pallini
- Franco Locatelli
- Quintino Giorgio D’Alessandris
- Liverana Lauretti
- Alessandro Olivi
- Sara Patrizi
Institutions
- Università Cattolica del Sacro Cuore (IT)
- University of Messina (IT)
- Istituto Superiore di Sanità (IT)
- Agostino Gemelli University Polyclinic (IT)
- Gene Therapy Laboratory (FR)
- Bambino Gesù Children's Hospital (IT)
- Institute of Cell Biology and Neurobiology (IT)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1093/noajnl/vdag108
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00