Association between prior radical surgery (RS) and outcomes with immune checkpoint inhibitor (ICI) therapy for advanced urothelial carcinoma (aUC).
Bibliographic record
Abstract
444 Background: It is unclear whether prior RS of primary tumor is associated with response and outcomes with ICI in aUC. We hypothesized that such response and outcomes would not differ based on prior RS. Methods: We performed a retrospective cohort study including patients (pts) with aUC who received ICI. We compared overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) between pts with vs without RS [cystectomy or (nephro)-ureterectomy]. Analysis was stratified based on ICI therapy line (first-line vs salvage). A separate comparison between pts with prior RS or radiation (RT) only or none was also pursued. ORR was compared between groups using logistic regression, as well OS and PFS using cox regression analysis; a multivariable model was built adjusting for calculated Bellmunt score. P<0.05 was significant. Results: We identified 984 pts from 24 institutions; 682, 704 and 673 were included in OS, PFS and ORR analyses, respectively; 54% of pts had prior RS with median age 68 at ICI initiation with RS vs 71 without RS with similar proportion of men (73-74%) and ever smokers (70-71%). The RS group had higher proportion (%) of white pts (77% vs 71%), lower % of pts with Hb<10g/dL at ICI initiation (23% vs 32%) but not significantly higher % of liver metastasis at ICI initiation (23% vs 17%). Bellmunt score with vs without RS was 16% vs 11%, 50% vs 48%, 27% vs 37%, 7% vs 4% for 0, 1, 2, and 3, respectively. ORR and PFS were not significantly different between groups, while prior RS was associated with longer OS (unadjusted HR 0.8, p=0.03). However, after adjustment for Bellmunt score, this association was not significant (table). Upon stratification based on treatment line, OS was longer with prior RS (0.7, p=0.03) for those treated with salvage ICI but this was not significant after adjusting for Bellmunt score. ORR, PFS and OS were not significantly different between pts receiving prior RT only vs RS vs none. Conclusions: Prior RS was not significantly associated with longer OS in pts with aUC receiving ICI after adjusting for Bellmunt score. Further work is needed to interrogate tumor-host immune interactions and identify biomarkers that can be prognostic and/or predictive of ICI response. [Table: see text]
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".