α5β1 integrin antagonists reduce chemotherapy‐induced premature senescence and facilitate apoptosis in human glioblastoma cells
Bibliographic record
Abstract
The alpha5beta1 integrin represent a new therapeutic target for glioblastoma, which are malignant brain tumors difficult to cure with conventional therapies. Glioblastoma are known to be highly resistant to chemotherapy. We, therefore, investigated whether blocking alpha5beta1 integrin with specific nonpeptidic antagonists concomitantly with chemotherapy (ellipticine and temozolomide) may impact the response to chemotherapy of human glioblastoma. Here we show that inhibiting alpha5beta1 integrin with 2 selective ligands (SJ749 and K34c) decreases chemotherapy-induced premature senescence and facilitates cell apoptosis in a functional p53 background (U87MG cells). When p53 is mutated and inactive (U373 cells), chemotherapy induces p53-independent cell apoptosis instead of senescence that is not improved by integrin antagonists. Silencing p53 in U87MG cells with siRNA as well as evaluating HCT116 p53+/+ and p53-/- colon carcinoma cell behavior support the hypothesis of an as yet unknown effect of alpha5beta1 integrin antagonists on the control of chemotherapy-induced premature senescence and apoptosis. alpha5beta1 integrin antagonists modulate the p53 signaling induced by chemotherapy. Our results highlight a new role of the alpha5beta1 integrin in the control of glioblastoma aggressiveness and responsiveness to chemotherapy, which may have a crucial impact in the clinical management of patients suffering from brain tumors.
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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 | 0.001 |
| 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".