CABOSEQ: The efficacy of cabozantinib post up-front immuno-oncology combinations in patients with advanced renal cell carcinoma: Results from the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC).
Bibliographic record
Abstract
318 Background: There are limited data to understand the activity of cabozantinib (CABO) as second line (2L) therapy post standard of care ipilimumab-nivolumab (IPI-NIVO) or immuno-oncology(IO)/vascular endothelial growth factor (VEGF) inhibitor combinations (IOVE). The activity of subsequent 3L approved therapies post CABO has not been established. Methods: Using the IMDC dataset, we examined all patients who received 2L CABO. We sought to identify the overall response rate (ORR), time to treatment failure (TTF) and overall survival (OS) of 2L CABO after IPI-NIVO, approved IOVE combinations and other 1L approaches. Additionally, we examined these outcomes for patients that received an approved 3L treatment post 2L CABO. Hazard ratios were adjusted for IMDC risk groups. Results: 346 patients were identified who had all received 2L CABO (78 post 1L IPI NIVO, 46 post 1L IOVE, 222 post 1L other). Of the entire cohort, 12.6%, 62.6% and 24.8% were IMDC favourable, intermediate and poor risk, respectively. 84% had clear cell histology, 18.5% had a sarcomatoid component and 38.3% had bone metastases at diagnosis. Outcomes for patients that received 2L CABO, stratified by 1L therapy are outlined in the table, followed by outcomes for patients that received subsequent 3L therapy post 2L CABO. After adjustment for IMDC criteria, the HR for 2L CABO OS and TTF for IOVE vs IPI-NIVO were 1.73 (95% CI 0.83-3.62 p = 0.14) and 1.62 (0.89-2.95 p = 0.11), respectively. Conclusions: There is clinically meaningful activity of CABO post IPI-NIVO, IOVE and other standard 1L approved therapies. Broadly, time to event endpoints and response rates are similar irrespective of 1L therapy. Approved systemic therapies post CABO, mainly single agent VEGF inhibitors also have activity, though as expected this is diminished compared to earlier lines of therapy. These are real world benchmarks with which to counsel our patients when using single agent CABO.[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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".