1417 HYPOXIA IS INDEPENDENTLY ASSOCIATED WITH POOR OUTCOME IN UROTHELIAL BLADDER CANCER PATIENTS TREATED WITH RADICAL CYSTECTOMY
Bibliographic record
Abstract
You have accessJournal of UrologyBladder Cancer: Invasive I1 Apr 20121417 HYPOXIA IS INDEPENDENTLY ASSOCIATED WITH POOR OUTCOME IN UROTHELIAL BLADDER CANCER PATIENTS TREATED WITH RADICAL CYSTECTOMY Peter J. Bostrom, John Thoms, Bas W.G. van Rhijn, Omer Ahmed, Oleksandr Stakhovskyi, David Margel, Andrew Evans, Tuomas Mirtti, Jenna Sykes, Melania Pintillie, Matti Laato, Michael Milosevic, Alexandre R. Zlotta, and Robert G. Bristow Peter J. BostromPeter J. Bostrom Toronto, Canada More articles by this author , John ThomsJohn Thoms Toronto, Canada More articles by this author , Bas W.G. van RhijnBas W.G. van Rhijn Toronto, Canada More articles by this author , Omer AhmedOmer Ahmed Toronto, Canada More articles by this author , Oleksandr StakhovskyiOleksandr Stakhovskyi Toronto, Canada More articles by this author , David MargelDavid Margel Toronto, Canada More articles by this author , Andrew EvansAndrew Evans Toronto, Canada More articles by this author , Tuomas MirttiTuomas Mirtti Helsinki, Finland More articles by this author , Jenna SykesJenna Sykes Toronto, Canada More articles by this author , Melania PintillieMelania Pintillie Toronto, Canada More articles by this author , Matti LaatoMatti Laato Turku, Finland More articles by this author , Michael MilosevicMichael Milosevic Toronto, Canada More articles by this author , Alexandre R. ZlottaAlexandre R. Zlotta Toronto, Canada More articles by this author , and Robert G. BristowRobert G. Bristow Toronto, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.02.1868AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Molecular biomarkers are urgently needed to predict individual patient outcome after radical cystectomy (RC). Intra-tumoral hypoxia has been reported to be an independent prognostic marker for disease-free and overall survival in many tumor types following radiotherapy or surgery. We therefore tested whether the expression of hypoxia-associated biomarkers was a prognostic factor in muscle-invasive bladder cancer (MIBC) treated by RC. METHODS Two cohorts of MIBC patients (clinical T2/T3N0M0) treated with RC were studied following ethics approval (University of Toronto, Canada: n=99; University of Turku, Turku, Finland: n=186). An expert GU-pathologist reviewed all slides and tissue microarrays were constructed. Using semi-quantitative immunohistochemistry, the expression of the hypoxia markers HIF-1α, GLUT-1, CA-IX, as well as the Ki-67 proliferation marker, was determined by three independent reviewers. Mean expression was used for outcome analyses. The association between each markers and disease-specific survival (DSS) were determined using univariate and multivariate analyses. RESULTS In univariate analysis (Fig 1), GLUT-1 was a significant of predictor of DSS in patients operated by RC (p=0.01). Ki-67 at a 5% cut-off was also significantly associated with DSS (p=0.028).In multivariate analysis, GLUT-1 was highly significant for predicting DSS (p=0.004) as were conventional parameters like node status or pathological stage. HIF-1α and CA-IX were not prognostic. CONCLUSIONS GLUT-1 and Ki-67 are promising biomarkers for predicting outcome in patients with MIBC treated with RC. Our results should be confirmed in large validation cohorts. Novel treatment strategies which combat tumor hypoxia should continue to be explored. © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4SApril 2012Page: e575 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information Peter J. Bostrom Toronto, Canada More articles by this author John Thoms Toronto, Canada More articles by this author Bas W.G. van Rhijn Toronto, Canada More articles by this author Omer Ahmed Toronto, Canada More articles by this author Oleksandr Stakhovskyi Toronto, Canada More articles by this author David Margel Toronto, Canada More articles by this author Andrew Evans Toronto, Canada More articles by this author Tuomas Mirtti Helsinki, Finland More articles by this author Jenna Sykes Toronto, Canada More articles by this author Melania Pintillie Toronto, Canada More articles by this author Matti Laato Turku, Finland More articles by this author Michael Milosevic Toronto, Canada More articles by this author Alexandre R. Zlotta Toronto, Canada More articles by this author Robert G. Bristow Toronto, Canada More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.006 | 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".