Abstract A09: ACSL4 is a target of the 17beta-estradiol/estrogen-receptor alpha pathway in mammary carcinoma cell lines
Bibliographic record
Abstract
Abstract Polyunsaturated fatty acids (PUFA) are important building blocks for cellular membranes and are incorporated into membrane glycerophospholipids to sustain many cellular functions. Newly absorbed PUFA like arachidonic acid (AA) and eicosapentaenoic acid (EPA) are rapidly transformed to acyl-CoAs by members of the acyl-CoA synthetase family (ACSL1, 3, 4, 5 and 6) prior to their incorporation into membrane phospholipids. However, there is little information on the impact of estrogen on PUFA uptake and ACSL expression in estrogen receptor-positive (ER+ve) breast cancer cells. In the current study, the effect of 17 beta-estradiol on PUFA uptake and ACSL expression was measured in (ER+ve) mammary carcinomas cell lines. Stimulation of estrogen-starved ER+ve MCF-7 and T47D mammary carcinomas cells with 17 beta-estradiol resulted in a significant increase in the cellular uptake of exogenous AA and EPA. This was accompanied by a three-fold increase in the expression the ACSL4 isoform measured by western blot in both MCF-7 and T47D cells, but not in immortalized MCF-10A mammary epithelial cells. There was no measured change in the expression of the other ACSL isoforms. ER alpha silencing with siRNA reversed the 17 beta-estradiol-induced ACSL4 expression in both cells lines showing for the first time that hormonal stimulation of ER+ve breast cancer cells is a driver for ACSL4 expression. However, ACSL4 mRNA levels measured by qPCR were unchanged by 17 beta-estradiol treatment, and no change in mRNA stability was measured with 17beta-estradiol treatment as assessed in actinomycin D-treated cells. Conversely, the half-life of ACSL4 protein after treatment with 17 beta-estradiol was extended from 8±0.5 hours in untreated cells to 26±2 hours in 17 beta-estradiol treated cells as assessed following incubation in the absence or presence of cycloheximide. ER alpha silencing with specific siRNA reversed this half-life extension. SHP2 is a tyrosine phosphatase that regulates ACSL4 expression, however the investigation of possible SHP2-mediated changes in ACSL4 in 17 beta-estradiol-treated cells incubated or not with the SHP2 inhibitor NSC87877 showed no difference in ACSL4 expression. Importantly, ACSL4 silencing with siRNAs reversed the 17 beta-estradiol-induced uptake of AA and EPA in both MCF-7 and T47D cells, indicating that ACSL4 was responsible for the enhanced uptake of these PUFA in ER+ve breast cancer cells. Moreover, ACSL4 silencing completely reversed 17 beta-estradiol-induced cell migration as assessed by an in vitro wound healing assay. Overall, these results demonstrate that 17 beta-estradiol enhances the ability of ER+ve mammary carcinoma cells to incorporate PUFA that are important membrane building blocks, via the induction of ACSL4 protein stability. The requirement of enhanced ASCL4 expression for 17 beta-estradiol-induced cell migration suggests that it is a potential therapeutic target in ER+ve mammary carcinoma cells. This work was supported by the Canadian Breast Cancer Foundation, the Canadian Institutes of Health Research and the Canada Research Chairs Program. Citation Format: Anissa Belkaid, Rodney J. Ouellette, Marc E. Surette. ACSL4 is a target of the 17beta-estradiol/estrogen-receptor alpha pathway in mammary carcinoma cell lines. [abstract]. In: Proceedings of the Fourth AACR International Conference on Frontiers in Basic Cancer Research; 2015 Oct 23-26; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2016;76(3 Suppl):Abstract nr A09.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".