Clinical trial · Interventional
Mathematical Model-Adapted Radiation In Glioblastoma
Mathematical Model-Adapted Radiation Fractionation Schedule for Patients With Recurrent Glioblastoma (MARS-Glio)
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This research study is studying a new schedule of radiation therapy for recurrent glioblastoma as a possible treatment for this diagnosis. This radiation schedule is based on a new model for radiation resistance in glioblastoma. The name of the radiation schedule involved in this study is: \- Re-irradiation for glioblastoma using a novel Mathematical Model-Adapted Radiation Fractionation Schedule
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Recurrent Glioblastoma | Glioblastoma | CURATED_BROADER | 0.80 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Mathematical Model-Adapted Radiation Fractionation Schedule | Radiation | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Mathematical Model-Adapted Radiation
- description
- Mathematical Model-Adapted Radiation Fractionation Schedule
- interventionNames
- Radiation: Mathematical Model-Adapted Radiation Fractionation Schedule
Primary outcomes (1)
- measure
- Number of Participants to Complete Model Adapted Radiations Fractionation Scheduled
- timeFrame
- 10 Days
- description
- Successful completion of radiotherapy is defined as receipt of all scheduled fractions of daily radiotherapy within 24 hours of once daily fractions and within 1 hour of three-times daily fractions.
Secondary outcomes (8)
- measure
- Number of Participants With Radiation Necrosis
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Participants must have recurrent glioblastoma (WHO Grade IV), as defined on brain imaging with CT or MRI, after prior receipt of definitive therapy including neurosurgical biopsy or resection and radiation therapy with or without systemic therapy. * Participants must be deemed appropriate candidates for re-irradiation * Histopathologic confirmation of disease as part of routine clinical care is required either at the time of initial diagnosis and/or at the time of recurrent disease. There is no requirement for central pathologic review. * Age ≥ 18 years at the time of enrollment * Karnofsky Performance Status (KPS) of at least 70 * Exclusion Criteria * Participants who have received more than one prior course of radiotherapy to the local site of progressive disease * Participants who have received prior radiotherapy to the local site of progressive disease within \< 3 months of the anticipated start of re-irradiation * Participants with recurrent tumor extensively abutting or involving the optic structures or brainstem, as assessed by the treating radiation oncologist * Participants without a definable tumor cavity on MRI or CT obtained at study enrollment * Participants receiving concurrent cytotoxic chemotherapy (i.e. temozolomide, CCNU, vincristine, procarbazine) or concurrent immunotherapy (i.e. pembrolizumab, nivolumab); however, participants may receive sequential chemotherapy before or after radiation without limitation. Participants may receive concurrent corticosteroid and/or anti-angiogenic therapy (i.e. bevacizumab) if clinically indicated.
References
Publications (1)
- RESULTDean JA, Tanguturi SK, Cagney D, Shin KY, Youssef G, Aizer A, Rahman R, Hammoudeh L, Reardon D, Lee E, Dietrich J, Tamura K, Aoyagi M, Wickersham L, Wen PY, Catalano P, Haas-Kogan D, Alexander BM, Michor F. Phase I study of a novel glioblastoma radiation therapy schedule exploiting cell-state plasticity. Neuro Oncol. 2023 Jun 2;25(6):1100-1112. doi: 10.1093/neuonc/noac253. PMID 36402744