Upfront Cytoreductive Nephrectomy for Metastatic Renal Cell Carcinoma Treated with Immune Checkpoint Inhibitors or Targeted Therapy: An Observational Study from the International Metastatic Renal Cell Carcinoma Database Consortium
Bibliographic record
Abstract
BACKGROUND: The role of upfront cytoreductive nephrectomy (CN) for metastatic renal cell carcinoma (mRCC) in the era of immune checkpoint inhibitors is unclear. OBJECTIVE: To evaluate the relationship between upfront CN and clinical outcomes in the setting of mRCC treated with immune checkpoint inhibitors or targeted therapy. DESIGN, SETTING, AND PARTICIPANTS: Using the International Metastatic RCC Database Consortium, we retrospectively identified patients diagnosed with de novo mRCC treated with immune checkpoint inhibitors or targeted therapy. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Overall survival (OS) was compared between the two groups using the Kaplan-Meier method and multivariable Cox regressions adjusting for known prognostic factors. RESULTS AND LIMITATIONS: We identified a total of 4639 eligible patients with mRCC. Among the 4202 patients treated with targeted therapy and 437 patients treated with immune checkpoint inhibitors, 2326 (55%) and 234 (54%) patients received upfront CN prior to treatment start. In multivariable analyses, CN was associated with significantly better OS in both the immune checkpoint inhibitor-treated (hazard ratio [HR]: 0.61; 95% confidence interval [CI], 0.41-0.90, p = 0.013) and the targeted therapy treatment (HR: 0.72; 95% CI, 0.67-0.78, p < 0.001) group. There was no difference in OS benefit of CN between the immune checkpoint inhibitor and targeted therapy treatment groups (interaction p = 0.6). Limitations include selection of patients from large academic centers and the retrospective nature of the study. CONCLUSIONS: Upfront CN is associated with a significant OS benefit in selected patients treated by either immune checkpoint inhibitors or targeted therapy, and still has a role in selected patients in the era of immune checkpoint inhibitors. PATIENT SUMMARY: Before effective systemic therapies were available for metastatic kidney cancer, surgical removal of the primary (kidney) tumor was the mainstay of treatment. The role of removing the primary tumor has recently been called into question given that more effective systemic therapies have become available. In this study, we find that removal of the primary kidney tumor still has a benefit for selected patients treated with highly effective modern systemic therapies, including targeted therapies and immune checkpoint inhibitors.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".