Effect of Haishengsu on transplanted K562 and drug-resistant K562/ADM tumors: An experimental study
Bibliographic record
Abstract
PURPOSE: To evaluate the effect of Haishengsu (HSS) on transplanted K562 and drug-resistant K562/ADM tumors. METHODS: Mice were inoculated subcutaneously with K562 and K562/ADM cells, respectively. Tumour-bearing animals were divided into HSS, adriamycin, combination therapy (adriamycin plus HSS) and placebo groups. The anti-tumour effect was assessed by tumour growth curve and tumour inhibitory rate (IR). RESULTS: In animals inoculated with K562 cells, the inhibitory rates of high (1800mg/kg) and medium (900mg/kg ) dose HSS groups were 100% and 96.4%, respectively, which was higher than that in the adriamycin (88.9%) or the combination therapy groups (85.8%, P < 0.05). The inhibitory rate in the low-dose HSS group (53.4%) was lower than in all other groups (P < 0.01). In mice inoculated with K562/ADM cells, the inhibitory rates in the high, medium and low dose HSS groups were 100%, 95.9%, and 44.1%, respectively. In the adriamycin group, the inhibitory rate was 23.07%, which was lower than in the HSS group (P < 0.01). Pathological examination of tumour tissues from HSS-treated animals showed extensive necrosis and bleeding. CONCLUSIONS: Haishengsu inhibits the growth of transplanted K562 tumours in mice. It is also effective in suppressing the growth of drug-resistant K562/ADM tumors in this animal model.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".