Abstract LB-088: Role of histone demethylase JMJD1A in the generation of AR-V7
Bibliographic record
Abstract
Abstract Formation of androgen receptor (AR) splicing variant, AR-V7, has been shown to contribute to the resistance of prostate cancer to androgen deprivation therapy and development of castration-resistant prostate cancer (CRPC). We and others have reported that histone demethylase JMJD1A promotes the transcriptional activity of AR by functioning as an AR co-activator. Here, we identified a new role for JMJD1A in the expression of AR-V7 in prostate cancer cells. Knockdown of JMJD1A reduced the mRNA and protein level of AR-V7 but had little effect on the full-length AR (AR-FL). Re-expression of AR-V7 in the JMJD1A-knockdown cells partly restored the expression of select AR target genes and growth of prostate cancer cells under the androgen deprivation condition in vitro and in the mouse xenograft model. Our preliminary data show that JMJD1A promotes the alternative splicing of AR-V7 and we are currently investigating the splicing factor(s) regulated by JMJD1A for the AR-V7 formation. Together, our data reveal that JMJD1A enhances the castration-resistant growth of prostate cancer cells by promoting the alternative splicing of AR-V7. Note: This abstract was not presented at the meeting. Citation Format: Lingling Fan, Fengbo Zhang, Martin Gleave, Xuesen Dong, Jianfei Qi. Role of histone demethylase JMJD1A in the generation of AR-V7 [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 LB-088. doi:10.1158/1538-7445.AM2017-LB-088
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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) | 0.006 | 0.002 |
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".