In Vitro and In Vivo Studies on the Inhibitory Effects of Myocardial Cell Culture Medium on Growth of a Human Lung Adenocarcinoma Cell Line, A549
Bibliographic record
Abstract
BACKGROUND: Although the heart is one of the body's vital organs, with an abundant blood supply, metastasis to the heart is considered rare. In a previous study, we found that the myocardial microenvironment might contain a low molecular weight natural tumour suppressor. The present study was designed to investigate the inhibitory effect of cardiac myocyte-conditioned medium (cmcm) on the growth of A549 human lung adenocarcinoma cells in vitro and in vivo. METHODS: An mtt assay was used to detect the inhibition ratio with respect to A549 proliferation. Human lung adenocarcinoma cells (A549 cell strain) were transplanted subcutaneously into nude mice to produce tumours. The xenograft tumour growth in mice was observed after selected drug administration. RESULTS: After treatment with cmcm and cisplatin (Cis), A549 cell viability significantly declined (p < 0.001). The cell viability in the cmcm and Cis groups were 53.42% ± 3.45% and 58.45% ± 6.39% respectively. Growth of implanted tumour cells in vivo was significantly inhibited in the cmcm group, the group treated with recombinant human adenovirus-p53, and the Cis-treated group compared with a control group. The inhibition rates were 41.44% in the cmcm group, 41.34% in the p53 group, and 64.50% in the Cis group. Lung metastasis capacity was significantly reduced in the presence of cmcm (p < 0.05). Lung metastasis inhibition rates in mice were 56.52% in the cmcm group, 47.83% in the p53 group, and 82.61% in the Cis group. With cmcm, the lives of A549-tumour-bearing mice could be significantly prolonged without any effect on weight loss. CONCLUSIONS: Use of cmcm has the effect of reducing A549 cell viability, tumour volume, and lung metastasis rate, while prolonging survival duration without severe toxicity.
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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) | 0.001 | 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 | 0.001 |
| 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 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".