MP83-14 GENOMIC EXPRESSION EVIDENCE FOR ANDROGEN RECEPTOR AXIS ACTIVATION IN UROTHELIAL CARCINOMA: DATA FROM THE CANCER GENOME ATLAS
Bibliographic record
Abstract
You have accessJournal of UrologyBladder Cancer: Basic Research & Pathophysiology IV1 Apr 2016MP83-14 GENOMIC EXPRESSION EVIDENCE FOR ANDROGEN RECEPTOR AXIS ACTIVATION IN UROTHELIAL CARCINOMA: DATA FROM THE CANCER GENOME ATLAS Edwin E. Morales, Stephen B. Williams, Jinesh G. Goodwin, Debasish Sundi, Carolyn L. Smith, David J. McConkey, and Ashish M. Kamat Edwin E. MoralesEdwin E. Morales More articles by this author , Stephen B. WilliamsStephen B. Williams More articles by this author , Jinesh G. GoodwinJinesh G. Goodwin More articles by this author , Debasish SundiDebasish Sundi More articles by this author , Carolyn L. SmithCarolyn L. Smith More articles by this author , David J. McConkeyDavid J. McConkey More articles by this author , and Ashish M. KamatAshish M. Kamat More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.2196AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Recent investigations have implicated the androgen receptor in the oncogenesis and progression of urothelial carcinoma. Current evidence exists that inhibition of dihydrotestosterone (DHT) production decreases the risk of bladder cancer by nearly a third in a large North American cancer screening cohort. The precise biological mechanism of DHT inhibition and reduced bladder carcinogenesis remains to be elucidated. We sought to analyze the bladder database of the Cancer Genome Atlas (TCGA) for androgen gene signature enrichment, and for expression of downstream target genes of the androgen receptor using heat mapping and genome set enrichment analysis. METHODS The TCGA is a multicenter study that examined 11,000 patient tumors as well as normal tissues to generate a genetic atlas of 33 distinct cancer types. The bladder TCGA was queried for expression of androgen axis gene expression signatures using GENE-E software (Broad Institute, Cambridge MA). Using this data, gene expression patterns were analyzed and using hierarchical clustering, matched to existing TCGA basal and luminal tumor subtypes. RESULTS Expression of the 5-alpha reductase isozymes SRD5A1, 2, and 3 (the inhibitory target of finasteride) was confirmed using the 128 tumor TCGA database and clustered into basal and luminal TCGA subtypes, with Clusters 1 and 2 (luminal or “epithelial-like”) expressing SRD5A2 and 3 while basal and “p-53 like” tumors expressed the more typical prostatic SRD5A1. In addition, significant expression of steroidal pathway synthesis and androgen/estrogen axes genes were observed, again clustered by TCGA subtype. Validation of these preliminary findings are underway. CONCLUSIONS Gene expression data suggest that urothelial cancer of the bladder exhibits activation of androgen synthesis and androgen receptor cross-talk pathways along with expression of the enzyme 5-alpha reductase. Expression appears to segregate by TCGA subtype which may be important in future clinical trials for subtype-specific antitumor therapies. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e1086 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Edwin E. Morales More articles by this author Stephen B. Williams More articles by this author Jinesh G. Goodwin More articles by this author Debasish Sundi More articles by this author Carolyn L. Smith More articles by this author David J. McConkey More articles by this author Ashish M. Kamat More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.008 |
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".