Prognostic pathological factors in radical cystectomy after neoadjuvant chemotherapy
Bibliographic record
Abstract
AIMS: We undertook a systematic evaluation of the prognostic value of numerous histological factors in 165 radical cystectomies (RCs) of patients with invasive urothelial carcinoma (UC) who underwent surgery after neoadjuvant chemotherapy (NAC). METHODS AND RESULTS: Tumour regression grade (TRG) and therapy-related stromal and epithelial changes were also recorded. Locally advanced disease (≥pT2 and/or pN+) was present in 64% of patients, 22% had no evidence of residual carcinoma (pT0 + pN0), and 28% had no evidence of residual muscle-invasive carcinoma (≤pT1 + N0). TRG1, TRG2 and TRG3 were found in 32%, 15% and 50% of patients, respectively. Histological variants of UC were reported in 25% of cases. The most common therapy-related stromal change was fibroblastic reaction (78%), and the most common epithelial change in residual UC was smudgy and poorly preserved chromatin (28%). Prominent stromal and epithelial changes were noted in 41% and 5% of RCs, respectively. Progression was found in 45% of patients, and cancer-related deaths occurred in 30%. Multivariate analysis showed that the only independent prognostic parameters for progression were T stage, N stage, lymphovascular invasion, and margin status. Similarly, only T stage, N stage and margin status correlated with cancer-related deaths. Neither TRG nor any of the stromal-related or epithelial-related variables correlated with outcome. CONCLUSIONS: We confirm that the traditional and routinely reported histological parameters in RC post-NAC remain the most powerful prognosticators of disease course. The significance of TRG in the bladder remains unconfirmed.
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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) | 0.001 | 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".