The Pan-Bcl-2 Inhibitor (−)-Gossypol Triggers Autophagic Cell Death in Malignant Glioma
Bibliographic record
Abstract
Antiapoptotic Bcl-2 family members suppress both apoptosis and autophagy and are of major importance for therapy resistance of malignant gliomas. To target these molecules, we used BH3 mimetics and analyzed the molecular mechanisms of cell death induced thereby. Glioma cells displayed only limited sensitivity to single-agent treatment with the BH3 mimetics HA14-1, BH3I-2', and ABT-737, whereas the pan-Bcl-2 inhibitor (-)-gossypol efficiently induced cell death. Furthermore, (-)-gossypol potentiated cell death induced by temozolomide (TMZ) in MGMT (O(6)-methylguanine-DNA methyltransferase)-negative U343 cells and, to a lesser extent, in MGMT-expressing U87 cells. (-)-Gossypol triggered translocation of light chain 3 to autophagosomes and lysosomes and cytochrome c release, but cell death occurred in the absence of lysosomal damage and effector caspase activation. Lentiviral knockdown of Beclin1 and Atg5 in U87, U343, and MZ-54 cells strongly diminished the extent of cell death induced by (-)-gossypol and combined treatment with TMZ, indicating that autophagy contributed to this type of cell death. In contrast, stable knockdown of the endogenous autophagy inhibitor mammalian target of rapamycin increased autophagic cell death. Our data suggest that pan-Bcl-2 inhibitors are promising drugs that induce caspase-independent, autophagic cell death in apoptosis-resistant malignant glioma cells and augment the action of TMZ. Furthermore, they indicate that efficient killing of glioma cells requires neutralization of Mcl-1.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".