Long-term prognostic value of the combination of EORTC risk group calculator and molecular markers in non-muscle-invasive bladder cancer patients treated with intravesical Bacille Calmette-Guérin
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: To evaluate the long-term prognostic value of the combination of the EORTC risk calculator and proapoptotic, antiapoptotic, proliferation, and invasiveness molecular markers in predicting the outcome of intermediate- and high-risk non-muscle-invasive bladder cancer (NMIBC) treated with intravesical Bacille Calmette-Guérin (BCG) therapy. MATERIALS AND METHODS: This study included 42 patients accrued prospectively presenting with intermediate- to high-risk NMIBC (high-grade T1 tumors or multiple rapidly recurrent tumors refractory to intravesical chemotherapy) treated with transurethral resection (TUR) and BCG. TUR samples were analyzed for the molecular markers p53, p21 waf1/cip, Bcl-2, CyclinD1, and metallothionein 9 (MMP9) using immunohistochemistry. Frequency of positivity, measured as a percentage, was assessed alone or in combination with EORTC risk calculator, for interaction with outcome in terms of recurrence and progression using univariate analysis and Kaplan-Meier survival curves. RESULTS: Median follow-up was 88 months (mean, 99; range, 14-212 months). The overall recurrence rate was 61.9% and progression rate was 21.4%. In univariate analysis, CyclinD1 and EORTC risk groups were significantly associated with recurrence (P value 0.03 and 0.02, respectively), although none of the markers showed a correlation to progression. In combining EORTC risk groups to markers expression status, high-risk group associated with positive MMP9, Bcl-2, CyclinD1, or p21 was significantly correlated to tumor recurrence (log rank P values <0.001, 0.03, 0.02, and 0.006, respectively) and when associated with positive MMP9 or p21, it was significantly correlated to progression (log rank P values 0.01 and 0.04, respectively). CONCLUSION: Molecular markers have a long-term prognostic value when combined with EORTC scoring system and they may be used to improve the predictive accuracy of currently existing scoring system. Larger series are needed to confirm these findings.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".