Abstract 1517: AKT inhibition induces neuroendocrine phenotype in prostate cancer cells
Bibliographic record
Abstract
Abstract Androgen receptor (AR) signaling pathway inhibition (ARPI) is the primary treatment for locally advanced, recurrent, or metastatic prostate cancer. While ARPI is effective in short term, a fatal relapse is inevitable. The AKT signaling pathway inhibition has been investigated under multiple ongoing clinical trials as a co-therapeutic target with ARPI. The AKT signaling pathway is targeted due to its role in tumorigenesis, prevalent over-activation, and reciprocal activation upon ARPI in prostate cancer. However, this novel combination therapy may in fact facilitate PCa to progress into one of the most lethal subtypes called neuroendocrine (NE) prostate cancer (NEPC). Specifically, evidence has shown that ARPI contributes to NEPC progression at least in part by down-regulating the expression of RE-1 Silencing Transcription Factor (REST). Loss of REST is a hallmark of NEPC progression because REST functions as a negative master regulator in neurogenesis by suppressing genes required for neural differentiation. Similar to ARPI, our studies found that AKT inhibition reduced REST protein expression and increased NEPC markers in multiple prostate cancer cell lines. We also showed that the loss of REST upon AKT inhibition was through protein degradation mediated by an E3-ubiquitin ligase TRCP, which recognizes a phosphorylated REST degron region to recruit ubiquitins. In vivo ubiquitination assays confirmed the elevated REST ubiquitination after the treatment of PI3K inhibitors. Furthermore, mutations within the REST degron region reversed the TRCP-mediated REST ubiquitination and degradation. Finally, co-treatment of AKT pathway inhibition and ARPI showed aggravated REST depletion and increased NE markers in the prostate cancer cell line LNCaP. Collectively, these findings indicate that AKT pathway inhibition can induce NE phenotype in prostate cancer cells via REST protein degradation. This study may provide a caution to the ARPI/AKT co-target strategy as this strategy can potentially facilitate NEPC development. Citation Format: RuiQi Chen, Yinan Li, Xuesen Dong. AKT inhibition induces neuroendocrine phenotype in prostate cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1517. doi:10.1158/1538-7445.AM2017-1517
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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 | 0.001 |
| 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".