Study of effects of thermotherapy in different temperature on the human gastric adenocarcinoma cell line SGC7901/DDP
Bibliographic record
Abstract
Objective To observe the effects of hyperthermia therapy combined with chemotherapy on multi drug resistance in human gastric adenocarcinoma cell line SGC7901/DDP in order to provide theoretical evidence for hyperthermia and thermochemotherapy in clinic.Methods MTT assay was used to detect the growth rate by hyperthermia or thermochemotherapy at different temperature groups(41 ℃,42 ℃,43 ℃,44 ℃);GST-π protein expression level was analyzed by FCM and GST-π mRNA expression was detected using RT-PCR.Results Treated with different temperature,drug sensitivity of SGC7901/DDP to cisplatin all increased,and the best one is 43 ℃;After treatment with hyperthermia at 43 ℃ for 2 h of SGC7901/DDP,the IC50 value decreased from(11.7±0.6)μg/mL to(7.2±0.7)μg/mL,the reversal fold of multiple drug resistance is 1.63;After hyperthermia,the expression of GST-π protein and mRNA was in downward trend,and the thermochemotherapy group is more significant.Conclusion Hyperthermia can significantly enhance the sensitivity to cisplatin in SGC7901/DDP.Thermochemotherapy can inhibit cell proliferation.Hyperthermia had the reversal function on SGC7901/DDP,which may be obtained by the decrease of GST-π protein and mRNA expression level.
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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) | 0.001 | 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".