Effectiveness of Immunotherapy in Aged Leukemic Mice
Bibliographic record
Abstract
We previously showed that immunotherapy using indomethacin combined with rIL-2 in vivo was very effective in stimulating natural killer (NK) cells and in increasing the life span of young adult mice bearing a tumor of hemopoietic origin. The aim of the present study was to test the efficacy and universality, with respect to age, of this treatment in tumor-bearing mice. DBA/2 mice (10-16 months old) were injected with 5 x 10(6) erythroleukemia cells and remained either: (i) untreated (control); (ii) treated with indomethacin (5 micrograms/ml drinking water) for 9 days from tumor onset; (iii) treated with rIL-2 (24 x 10(3) U/injection) twice a day for the last 4 days of the 9-day tumor-bearing period, or (iv) treated with both indomethacin and rIL-2 concomitantly. Some mice from each group (above) were killed after 9 days of tumor growth, while the others were allowed to survive. Spleen and bone marrow cells were collected from the mice of each group and NK (ASGM-1+) cells were quantitated using an immunoperoxidase technique combined with light microscopy. NK cell-mediated activity was assessed using a standard chromium release assay. The results show that although NK cell numbers increase in the presence of the growing tumor, neither indomethacin alone, rIL-2 alone, nor the combination could further increase the numbers of these cells. Furthermore, indomethacin and/or rIL-2 could not induce NK cell-mediated activity in such mice. Moreover, tumor-bearing aged mice treated as above did not have a significantly longer life span than untreated (control) tumor-bearing mice. The present results indicate an age-dependent resistance to a form of immunotherapy already proven very effective in young adult mice. Furthermore, the results of this and our previous studies suggest that immunotherapy, which may be highly effective in one age group, should not be presumed effective throughout life.
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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) | 0.001 | 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 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".