Genetic instability of <i>RBM5/LUCA‐15/H37</i> in MCF‐7 breast carcinoma sublines may affect susceptibility to apoptosis
Bibliographic record
Abstract
The MCF-7 human breast carcinoma cell line is widely used as a model system by breast cancer researchers and cell biologists investigating apoptosis. Since its establishment 30 years ago, from a patient with metastatic breast cancer, the original MCF-7 cell population has undergone genetic drift to such an extent that numerous genetically diverse sublines now exist. For instance, it has been reported that MCF-7 cells have lost the region 3p21.3, to which the apoptosis regulatory protein and putative tumour suppressor LUCA-15 (also called RBM5 and H37) maps; however, LUCA-15 has been cloned from MCF-7 cells, and LUCA-15 expression analyses have been conducted using MCF-7 cells. To address this discrepancy, we characterized three MCF-7 sublines by Western blot, RT-PCR and finally genomic PCR analysis, and determined that one of the three had lost the LUCA-15 gene. Interestingly, loss of LUCA-15 was positively correlated with decreased susceptibility to the death-inducing ligand TNF-alpha. Subsequent overexpression of exogenous LUCA-15 was shown to enhance TNF-alpha-mediated apoptosis, suggesting that LUCA-15 may play a role in regulating the susceptibility of breast cancer cells to drug-induced apoptosis. These results not only reinforce the necessity of MCF-7 subline characterization, but provide the first evidence of an apoptotic modulatory role for LUCA-15 in a non-T cell line.
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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 | 0.000 | 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".