Factors Influencing the Toxicity of Diethylaminoethylreserpine to Tumor Cells: Studies with Four Transplantable Tumors
Bibliographic record
Abstract
The toxicity of 1-[2-(diethylamino)ethyl]reserpine (DL-152) has been measured for 4 transplantable mouse tumors. DL-152 was found to be toxic to cells of all the tumor models tested (KHT fibrosarcoma, RIF-1 fibrosarcoma, EMT-6 adenocarcinoma and Lewis lung carcinoma) when the drug was given by intraperitoneal injection to the tumor-bearing mouse and cell survival was measured by excision assay. For the KHT tumor, hypoxic cells were found to be more sensitive to the drug in vivo than were aerated cells, and a similar response to hypoxia was observed in vitro, suggesting that sensitization occurred at the cellular level. Neither EMT-6 nor RIF-1 tumors showed increased sensitivity to the drug when cells were exposed under hypoxic conditions in vivo or in vitro. However, when the response of aerated cells of the 3 tumors was compared, the relative sensitivities for tumors exposed in vivo did not show the same ranking as the results of in vitro toxicity assays. This difference in in vitro and in vivo response in the different tumor models did not appear to be related to pharmacokinetic factors since the maximum tissue concentration and the rate of clearance of the drug were similar for all the tumors studied.
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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) | 0.001 | 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) | 0.001 | 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".