| Autor: |
Aubrey Ledford, Analiz Rodriguez, Lindsay Lipinski, Ajay Abad, Robert Fenstermaker, Jeffrey Edenfield, Charles Kanos, Navid Redjal, Alireza Mansouri, Brad Zacharia, Nicholas Butowski, Jesse Liu, Seunggu J. Han, Mateo Ziu, Adam L. Cohen, Andrew J. Fabiano, Katherine Miles, Melissa Rayner, Jayla Thompson, Kelley Tollison, Pedram Azimzadeh, Lillia Holmes, Matthew Gevaert, Teresa M. DesRochers |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2045-2322 |
| DOI: |
10.1038/s41598-024-68801-0 |
| Popis: |
Abstract Patients with high-grade glioma (HGG) have an extremely poor prognosis compounded by a lack of advancement in clinical care over the past few decades. Regardless of classification, most newly diagnosed patients receive the same treatment, radiation and temozolomide (RT/TMZ). We developed a functional precision oncology test that prospectively identifies individual patient’s response to this treatment regimen. Tumor tissues isolated from patients with newly diagnosed HGG enrolled in 3D PREDICT REGISTRY were evaluated for response to chemotherapeutic agents using the 3D Predict™ Glioma test. Patients receiving RT/TMZ were followed for 2 years. Clinical outcomes including imaging, assessments, and biomarker measurements were compared to patient matched test-predicted therapy response. Median survival between test-predicted temozolomide responders and test-predicted temozolomide non-responders revealed a statistically significant increase in progression-free survival when using the test to predict response across multiple subgroups including HGG (5.8 months), glioblastoma (4.7 months), and MGMT unmethylated glioblastoma (4.7 months). Overall survival was also positively separated across the subgroups at 7.6, 5.1, and 6.3 months respectively. The strong correlation of 3D Predict Glioma test results with clinical outcomes demonstrates that this functional test is prognostic in patients treated with RT/TMZ and supports aligning clinical treatment to test-predicted response across varying HGG subgroups. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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