Effect on Leukemia Cell Numbers of in vivo Administration of Immunotherapeutic Agents Is Age-Dependent
Bibliographic record
Abstract
On the basis of our previous findings that erythroleukemia-bearing mice of different ages responded positively to immunotherapy [indomethacin +/- recombinant interleukin (rIL-2)] in vivo [stimulated natural killer (NK) cells and increased life span], we aimed, in the present study, to determine if changes in these parameters could be correlated to change in erythroleukemia cell numbers. Infant (< 3 weeks old), young adult (5-8 weeks) and aged (> 10 months) DBA/2 mice were injected with erythroleukemia cells. Some mice remained untreated for the 10-day duration of the tumor-bearing period, while others were treated with either indomethacin alone for the 10 days from tumor inoculation, rIL-2 alone for the last 4 days of the 10-day tumor-bearing period, or with both indomethacin and rIL-2 as above. In all cases, both treated and untreated mice were killed at 10 days after tumor inoculation. Cytospot preparations from single cell suspensions of spleen and bone marrow, in all cases, were stained with MacNeal's tetrachrome hematologic stain and the relative and absolute number of erythroleukemia cells in these organs were determined using light microscopy. The results show that indomethacin- and/or rIL-2 treated leukemic infant and young adult mice have significantly lower numbers of erythroleukemia cells in both the spleen and bone marrow relative to untreated, leukemic mice of corresponding age. Leukemic aged mice, however, show no change in erythroleukemia cell numbers in either organ, regardless of treatment, paralleling our observations of a lack of immunotherapeutic value of these agents on NK cell production/function in aged mice.
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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 | 0.000 |
| 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 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".