ERK Inhibition by SU1498 Alters Expression of Bcl‐2 Family Proteins in Breast Cancer Cells
Bibliographic record
Abstract
The extracellular signal‐regulated kinase (ERK) pathway is vital to the cell survival. We have demonstrated the ability of SU1498, an inhibitor of ERK kinase activity, to sensitize breast cancer cells with constitutively active ERK to apoptosis. To identify the mechanisms involve, the expression of the antiapoptotic Bcl‐2 and Bcl‐xL and the proapoptotic Bad, Bax, Bik and Bak were examined under apoptotic conditions. One breast cell line (MCF‐10A) and three breast cancer cell lines (MCF 7, MDA‐MB‐231 and MDA‐MB‐468) were used to examine the effects of SU1498 and serum starvation on the expression of the Bcl‐2 family proteins. The MCF‐10A and MCF7 cells exhibit normal ERK regulation while the MDA‐MB‐231 and MDA‐MB‐468 cells lines have a constitutively activated ERK. Across all the cell lines, the combined treatments resulted in either decreased expression, or no changes in the expression, of the antiapoptotic Bcl2 proteins. The expression of the proapoptotic proteins Bad or Bak were dramatically upregulated only in those cells with constitutive ERK activation, while they tended to demonstrate reduced expression in the cells lines with normal ERK regulation. These cell lines with upregulate Bad and/or Bak expression were also those most sensitive to SU1498 induced cell death. The ability of SU1498 to sensitize breast cancer cells to apoptosis by inhibition of ERK may have therapeutic uses. Supported by NSERC
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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".