Recombinant Human IL-24 Suppresses Lung Carcinoma Cell Growth via Induction of Cell Apoptosis and Inhibition of Tumor Angiogenesis
Bibliographic record
Abstract
Previous studies have shown that interleukin-24 (IL-24; mda-7) as a novel tumor suppressor gene has tumor-suppressive activity against a broad spectrum of human cancers. However, the therapeutic effect of the recombinant human IL-24 (rhIL-24) protein purified from prokaryotic cells on human lung cancers has not been reported. In this study, we cloned the human gene coding for IL-24 from lipopolysaccharide-activated human peripheral blood mononuclear cells (PBMCs) by reverse-transcriptase polymerase chain reaction and constructed an expression vector pBV220-IL-24. We then transfected Escherichia coli DH5alpha with pBV220-IL-24. The soluble rhIL-24 was obtained from purified insoluble inclusion bodies of transfected cells by a denaturing and renaturing process. We demonstrated that the purified soluble rhIL-24 protein with 18.5 kappaDa was capable of (1) inducing in vitro apoptosis of A549 lung carcinoma cells; (2) activating PBMCs to secrete cytokines such as IL-6, tumor necrosis factor-alpha, and interferon-gamma; (3) inhibiting the formation of blood capillaries on chicken embryonic allantois and in vivo tumor angiogenesis; and (4) inhibiting A549 lung tumor cell growth in vitro and in vivo. Therefore, our results indicate its potent suppressive effect on human lung carcinoma cell line and warrant its further investigation for therapeutic application against human lung cancer.
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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) | 0.000 | 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 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".