Upregulation of interleukin-12 receptor on peripheral blood mononuclear cells and HLA class I, HLA class II or ICAM-1 on melanoma cells by B7.1 and interleukin-12: a mechanism for immunostimulatory impact of melanoma cells adenovirally transfected with B7.1 and IL12?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Melanoma is an immunogenic tumour and may express both HLA class I and class II molecules. These can be recognized by cytotoxic T-cells. Melanoma cells can evade immunosurveillance due to the lack of co-stimulatory molecules such as B7.1 or B7.2. Interleukin-12 (IL12) exerts antitumour effects, and B7.1 and IL12 synergistically induce effective antitumour immunity. We investigated the immunostimulatory potential of melanoma cells adenovirally transduced with B7.1, IL12 or B7.1 plus IL12. We observed that: (i) melanoma cells transduced with B7.1 plus IL12 can elicit a strong proliferative response from peripheral blood mononuclear cells (PBMCs); (ii) a high level of TH1 cytokine production from PBMCs was induced by melanoma cells transduced with Adv-B7.1 plus Adv-IL12; (iii) the expression of HLA class I antigens, HLA class II antigens or ICAM-1 antigens was higher on melanoma cells transduced with Adv-lL12 or Adv-B7.1 plus IL12 than those transduced with Adv-LacZ or wild-type melanoma cells; and (iv) the expression of IL12 receptors on PBMCs was upregulated by melanoma cells transfected with Adv-IL12 or Adv-B7.1 plus IL12. Thus, melanoma cells transduced with both Adv-lL12 and B7.1 may represent another clinical approach for antimelanoma gene therapy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it