Effects of a Regional Chinese Diet on Proliferation of Human Esophageal Cancer Cell Line Eca-109 by a Sero-Physiology Method
Bibliographic record
Abstract
Esophageal squamous cell carcinoma (ESCC) is prevalent in Yanting (YT) country located in southwestern China. Residents in the YT region have an unusual diet pattern and the role of the YT diet on the risk of ESCC is still uncertain. The present study was to examine the possible effects of sera from rats fed with the YT diet on proliferation of human esophageal cancer cell line Eca-109 by means of a sero-physiology approach. Firstly, two feasibilities were assessed to set up the sero-physiology method. We found that rats fed with a human adult diet in Chengdu region (ESCC-low-risk-area) for 30d had very close body weight gains in comparison with the control rats fed with the conventional diet, confirming the feasibility of feeding rats with a human diet without affecting their normal growth. Cell growth results showed that 5% non-deactivated rat serum had exactly the same effect on the proliferation of Eca-109 cells compared with the fetal bovine sera (FBS) control, confirming the feasibility of cultivating Eca-109 cells with the rat serum instead of FBS. Subsequently, cell proliferation results indicated that rats' sera fed with the YT diet significantly promoted Eca-109 cells proliferation but inhibited human normal liver epithelial cell line control HL7702 proliferation, whereas rats' sera fed with the Chengdu diet didn't have these effects on the two cell lines. The different effects of the two human diets on proliferation of Eca-109 cells demonstrated that the sero-physiology method is effective in studying the relationship between diet and cancer, and there maybe exist cancer-promoting factors in the YT diet.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".