Response of PC-3 prostate cancer cells to combination therapy using irradiation with glucocorticoids or doxorubicin.
Bibliographic record
Abstract
OBJECTIVES: We evaluated the effects of irradiation, doxorubicin and dexamethasone on human PC-3 prostate cancer cells, investigating whether dexamethasone and doxorubicin can alter the irradiation cytotoxicity of PC-3 cells. METHODS: We used the human PC-3 prostate cancer cells, analyzing cell growth with trypan blue exclusion, indices of the cell cycle with flow cytometry and apoptosis with flow cytometry and analysis of DNA fragmentation on simple agarose gel. RESULTS: Doxorubicin (100 nM) arrested cell cycle at the G2/M phase, decreased cell growth and produced apoptosis of PC-3 cells in a time-dependent manner. Dexamethasone (100 nM) increased the distribution of PC-3 cells at G0/G1 phase in the cell cycle, exerting an inhibitory effect on the proliferation of PC-3 cells after 48 and 72 hr, but it did not produce apoptosis. Irradiation (4 Gy) initially arrested cells at the G2/M phase in the cell cycle (24 hr) which was gradually overcome and the PC-3 cells were shifted into G0/G1 phase or apoptosis after 48 and 72 hr. Irradiation decreased the PC-3 cell growth by 40-50% after 48 and 72 hr, respectively. Treatment with doxorubicin (100 nM) for 24, 48, and 72 hr after irradiation potentiated irradiation cytotoxicity of PC-3 cells. Dexamethasone treatment 24 hr before and 24, 48 and 72 hr after irradiation increased the number of surviving PC-3 cells and partially neutralized the irradiation effects on cell cycle. CONCLUSION: Doxorubicin potentiated while dexamethasone partially reversed the irradiation cytotoxicity of PC-3 cells. These data may be of clinical importance for the treatment of hormone refractory prostate cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".