The Inhibitor of Growth 1 (ING1) Is Involved in Trichostatin A-Induced Apoptosis and Caspase 3 Signaling in p53-Deficient Glioblastoma Cells
Bibliographic record
Abstract
Prognosis for patients with glioblastoma multiforme (GBM) is poor. Inhibitors of histone deacetylases (HDACi) like trichostatin A (TSA) are promising alternatives to conventional treatment. Deficient tumor suppressor functions, such as TP53 mutations and p14(ARF)/p16(INK4a) deletions, are characteristic for GBM and can cause resistance to DNA damaging agents such as cisplatin and to HDACi like TSA. The type II tumor suppressor Inhibitor of growth 1 (ING1) is involved in DNA damage response and histone modification. We have previously shown that ING1 is downregulated in GBM and involved in glioma-induced angiogenesis and in cisplatin-induced apoptosis in malignant glioma cells. Hence, the goal of our present study was to investigate whether TSA affects ING1 protein expression and also whether modulating ING1 levels affects TSA-induced apoptosis in malignant glioma cells that contain deficient p53 function and inactive pl4(ARF)/p16(INK4a) signaling. If so, we asked, which apoptotic pathway might be the major mediator beyond this interaction. To test whether ING1 proteins function in TSA-induced apoptosis in GBM, we analyzed TSA effects in LN229 GBM cells, which harbor TP53 mutations and INK4a deletion, following ING1 knockdown by siRNA. Expression of ING1, acetylated core histones H3 and H4, and the proapoptotic proteins caspase 3 and Fas-associated death domain (FADD) was determined by Western blotting. Percentages of apoptotic cells were obtained by flow cytometry. TSA induced the major ING1 isoform p33(ING1b) and increased levels of both histone acetylation and apoptosis in LN229 cells. ING1 knockdown cells revealed marked resistance to TSA-induced apoptosis, impairment of caspase 3 activation, and suppression of FADD. The data suggest that ING1 contributes to TSA-induced apoptosis in GBM cells with deficient p53 and p14(ARF)/p16(INK4a) functions, possibly by regulating FADD/caspase 3 signaling.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".