Abstract 1077: Bufalin inhibited cell proliferation and expression of insulin-like growth factor 2 and type 1 receptor in human colorectal cancer cells
Bibliographic record
Abstract
Abstract Objective: To investigate the inhibitory effect of bufalin on the proliferation of human colorectal cancer cell, HCT116, and its relationship with expression of insulin-like growth factor 2 (IGF-2) and type 1 receptor (IGF1R). Methods: HCT116 cells were cultured with bufalin and cell proliferation was measured by MTT assay. The inhibitory rate of cell proliferation and the half maximal inhibitory concentration (IC50) were calculated. Cell cycle was determined by use of flow cytometry. mRNA and protein expressions of IGF-2 and IGF1R were analyzed by real time polymerase chain reaction (PCR) and Western Blot, respectively. The distribution of IGF-2 and IGF1R in cells was also observed by immunocytochemical staining. Results: The IC50 of bufalin at 24, 36, 48, 60, and 72 hours were 0.79±0.10, 0.37±0.10, 0.25±0.03, 0.17±0.02, and 0.10±0.03 uM, respectively. We selected 0.3 uM and 48 hours as the concentration of bufalin and culture time in following experiments. When cultured with bufalin, the ratio of cells in G2 phase to cells in M phase was increased in a dose dependent manner, indicating a delay from G2 to M caused by bufalin. For IGF-2, the mRNA and protein expressions were increased when cells were cultured with bufalin; For IGF1R, the mRNA increased but protein decreased. Both IGF-2 and IGF1R were seen in cytoplasm. Conclusion: Bufalin can significantly inhibit the proliferation of HCT116 cells, its underlying mechanism may relate with the up-regulation of IGF-2 expression and down-regulation of IGF1R protein expression. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1077. doi:1538-7445.AM2012-1077
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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) | 0.003 | 0.001 |
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".