Abstract P4-03-02: Establishing a Relationship between Breast Cancer, Prolactin and Altered Fat Metabolism
Bibliographic record
Abstract
Abstract Despite decades of research, breast cancer remains one of the most common cancers world-wide. Mammary carcinoma has been associated with a high-fat diet, and its rate in overweight post-menopausal women is up to 50% higher than in normal-weight women. The current study examined breast cancer as a metabolic disease in the context of altered fat catabolism, with a focus on examining the effects of prolactin (PRL) on the adenosine 5'-monophosphate-activated protein kinase (AMPK) energy sensing pathway that culminates with carnitine palmitoyl transferase 1 (CPT1), an enzyme that shuttles long-chain fatty acids into the mitochondrial matrix for beta oxidation. When a cell has high energy demands or is stressed, AMPK activation leads to either increased glucose uptake or the phosphorylation of acetyl-CoA carboxylase (ACC), resulting in a reduction in malonyl-CoA levels that lift an allosteric inhibition on CPT1, in turn leading to an increase in CPT1 enzyme activity. Conversely, increased malonyl-CoA levels, together with increased fatty acid synthase activity, favor lipogenesis. PRL has been shown to affect fat metabolism in adipocytes by altering malonyl-CoA levels, and we therefore examined whether CPT1 expression was altered in breast cancer cells in response to treatment with recombinant human PRL. The metabolic effects of this hormone, which is normally produced in breast tissue and has been epidemiologically linked with breast cancer, were investigated in a normal human breast epithelial cell line (184B5) and in breast cancer cells. PRL up-regulated CPT1 expression at both the mRNA and protein levels in cancer cells, but not in 184B5 cells. Of note, compared to MCF-7 or MDA-MB-231 cells, T47D cells expressed the highest levels of CPT1. The 85 kDa PRL receptor isoform was also highly expressed in this cell line compared to 184B5 or MCF-7 cells. Furthermore, PRL dose-dependently increased CPT1 enzyme activity in T47D cells, also inducing the phosphorylation of both the AMPKα catalytic subunit at threonine 172 and ACC. In T47D cells treated with AMPKα siRNA, transient knock-down of the catalytic AMPK subunit correlated with a similar knock-down in CPT1 mRNA levels. CPT1 levels in the knock-down cells could not be restored by treatment with PRL, suggesting that the PRL-mediated effect requires activation of the AMPK pathway. We also demonstrated that treatment with PRL leads to the phosphorylation of TAK1 and LKB1, two kinases that are known to activate AMPKα. It is known that PRL contributes to breast cancer by inducing cell proliferation, survival, motility, and angiogenesis. Our work proposes a novel role for this hormone in mammary carcinogenesis through its effect on fat metabolism via the induction of the AMPK pathway. Elucidating how breast cancer cells differentially produce and utilize energy compared to normal breast epithelial cells may lead to the development of new therapies for the treatment or improved management of this complex disease. (Research supported by Canadian Institutes of Health Research.) Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P4-03-02.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".