Abstract 298: Breast cancer malignancy and drug sensitivity are regulated by mammaglobin 1.
Bibliographic record
Abstract
Abstract Breast cancer metastasis, a complex process enabling tumour cells dissemination, accounts for more than 90% of breast cancer mortality. The identification of genes involved in breast cancer metastasis is thus essential mitigate disease progression One of these factors, mammaglobin 1 (MGB1), is specifically expressed in mammary epithelial tissues and overexpressed in mammary cancers. Normally, MGB1 plays an essential role in cellular homeostasis. More recently, studies show that MGB1 is a useful biomarker for prognostic application and the detection of metastastatic breast cancer. However, no studies reveal the cellular and molecular function of MGB1 in this disease. We therefore set out to elucidate the role of MGB1 in breast cancer processes. We developed a breast cancer model with conditioned MGB1 expression to assess the molecular and cellular processes regulated by that protein which lead to breast cancer cell malignancy. After investigation, we observed that loss of MGB1 expression led to the reduction of cancer cell growth which was supported by the suppression of p38, JNK, ERK and NFκB activities. We also found that MGB1 promotes cell migration which is supported through increased activities of FAK and matrix metalloproteinases. MGB1 also seems to foster epithelial to mesenchymal transitioning of cancer cells via the activation of Snail, Twist and Zeb1 pathways. Interestingly, we also found that MGB1 confers breast cancer cell sensitivity to apoptosis and to various anti-cancer drug treatments. Our study provides the first in dept molecular elucidation of MGB1 function in breast cancer processes. In summary, it extends our knowledge on the biology of breast cancer malignancy and gives us new tools to achieve new therapeutic and diagnostic strategies against this disease. Citation Format: Nadia Picot, Annie-Pier Beauregard, Roxann Guerette, Stéphanie Jean, Gilles A. Robichaud. Breast cancer malignancy and drug sensitivity are regulated by mammaglobin 1. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 298. doi:10.1158/1538-7445.AM2013-298
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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".