Abstract LB-21: Emergence of castration resistant prostate cancer class defined by recurrent <i>ERG</i> fusion
Bibliographic record
Abstract
Abstract The role of recurrent ETS gene fusions in castration resistant prostate cancer (CRPC) is poorly understood. We characterized the transcriptome of CRPC by interrogating a cohort of 54 men with locally advanced or metastatic CRPC using a gene expression profiling method recently established for formalin-fixed paraffin-embedded tissue. We found increased expression of multiple genes in ERG rearranged tumors which suggests a selective growth advantage under oxygen poor conditions. We discovered that trefoil factor 3 (TFF3) is the top differentially regulated gene by both ERG rearrangement and resistance to therapy. Conventional chromatin immunoprecipitation (ChIP)-PCR and ChIP-seq data revealed direct binding of ERG to ETS binding sites in the TFF3 promoter in ERG rearranged prostate cancer cell lines, which was confirmed in ERG rearranged hormone naïve prostate cancer (HNPC) and CRPC tissue samples. In vitro data suggested that ERG has an inhibitory effect on TFF3 expression in hormone naïve cancer, which was relieved in CRPC depending on the level of AR expression. These findings reveal an interplay between ERG rearrangement and AR signaling in CRPC, and provide perspective towards novel therapeutic targets. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr LB-21.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".