Secretion of a soluble T cell promoting factor by the human prostate adenocarcinoma cell line DU-145.
Bibliographic record
Abstract
INTRODUCTION: A variety of cancers suppress host immune defenses by secretion of soluble factors. Conditioned media (CM) from numerous cancer cell lines possess the ability to suppress proliferation of activated T cells. The effects of CM from the prostate cancer cell line DU-145 on T cell activation was investigated. MATERIALS AND METHODS: Human PBMC, purified T cells and Jurkat T cells were treated with DU-145 CM. Proliferation, cell cycle, apoptosis, Fas expression/and cytokine secretion were assessed by thymidine incorporation, flow cytometry and ELISA. RESULTS: DU-145 CM increased proliferation of concanavalin-A (ConA) activated peripheral blood mononuclear cells (PBMC) increasing the percentage of cells in the S/G2 phase of cell cycle. Treatment of the Jurkat T cell line with DU-145 CM induced a potent proliferative response. ConA-induced proliferation of purified T cells from human PBMC and murine splenocytes was augmented in a dose-dependent manner by addition of DU- 145 CM. DU- 145 CM treatment of ConA-activated T cells induced an increase in interleukin-2 (IL-2) production. The soluble factor(s) responsible for promoting T cell proliferation was dependent on protein synthesis by the DU- 145 cells and possessed a molecular weight greater than 10 kDa. CONCLUSION: DU- 145 cells secrete a soluble factor(s) > 10 kDa, whose production is dependent on protein synthesis and which acts as a promoter of T cell activation.
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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) | 0.000 | 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 | 0.001 |
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".