STEM-08. OVERCOMING GLIOBLASTOMA STEM CELL RESISTANCE TO RADIATION THROUGH TARGETING THIOREDOXIN REDUCTASE 1
Bibliographic record
Abstract
Abstract Glioblastoma, the most aggressive primary tumor of the central nervous system, presents challenges due to its resistance to standard treatment, including radiation therapy (RT). Glioblastoma stem cells (GSCs), known for their chemo-radioresistance, employ adaptive mechanisms to counteract therapy-induced reactive oxygen species (ROS) levels. This includes modulating the activity of thioredoxin (Trx), a key player in the redox system. Furthermore, GSCs exhibit enhanced DNA repair capacity by upregulating DNA repair proteins, such as RAD51 to survive following ROS-induced DNA damage in response to radiation. Our TCGA analysis revealed elevated expression of thioredoxin reductase 1 (TrxR1) in patients diagnosed with GBM and a significant positive correlation between TrxR1 and RAD51. We hypothesized that GSCs might enhance their antioxidant capacity following RT to suppress RT-induced ROS elevation. Hence, combining RT with TrxR1 inhibitors might overcome GSCs radioresistance while reducing RAD51 expression. Auranofin (Au), a drug FDA-approved for rheumatoid arthritis inhibits TrxR1 activity with subsequent ROS increase. We assessed Au cytotoxicity on GSCs with and without ionizing radiation using Alamar Blue and neutrosphere formation assays and ROS assay for quantitative analysis of ROS levels. We evaluated the molecular mechanisms associated with Au and IR-induced cell death in GSCs using western blotting analysis. Our findings suggest that resistance of GSCs to IR was accompanied with increased expression of TrxR1 and RAD51. On the other hand, Au alone significantly decreased GSC viability and neurosphere formation and sensitized GSCs to IR within the nanomolar range (significantly lower than the corresponding IC50s). Au alone and combined with IR increased ROS, while expression of both RAD51 and TrxR1 was decreased. Our study provides insights into repurposing the TrxR1 inhibitor, Au and its combination with RT as a novel therapeutic strategy to overcome GSC radioresistance and ultimately improve the dismal outcome of patients diagnosed with GBM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".