Prolonged survival with personalized immunotherapy (AGS-003) in combination with sunitinib in unfavorable risk metastatic RCC (mRCC).
Bibliographic record
Abstract
357 Background: During the past decade, VEGF targeted therapies have become standard treatment for advanced RCC. While targeted therapies have yielded improved efficacy, durable remissions are rare, particularly in unfavorable risk subjects. In a pivotal trial, treatment with sunitinib yielded a median OS of 5.3 months for poor risk and 20.7 months for intermediate risk subjects. Similarly, the validation dataset for the Heng risk model (ASCO 2011) revealed a median OS of 8 months for poor risk and 21 months for intermediate risk patients treated with VEGF targeted therapies. Durable responses have been elicited by immunotherapy in RCC. We report an update on patients with mRCC treated with combined VEGF TKI (sunitinib) plus autologous immunotherapy (AGS-003). Methods: In this phase II study, subjects with unfavorable prognosis mRCC (poor and intermediate risk) were treated with sunitinib plus autologous dendritic cell immunotherapy (AGS-003). Treatment consisted of standard 6-week cycles of sunitinib plus AGS-003 (once every 3 weeks x5 doses, then every 12 weeks until PD). Tumor response was assessed per RECIST and subjects were followed for PFS and OS. Immune monitoring samples were taken at screening, baseline and after the third and fifth doses of AGS-003 and analyzed by multiparametric flow cytometry. Results: 21 subjects were treated. As previously reported, the median overall PFS was 11.2 months and the final median OS was 30.2 months. When analyzed by baseline Heng risk status, the median PFS was 19.4 months for intermediate (n=11) and 5.8 months for subjects with poor risk features (n=10) at baseline. The median OS is 39.5+ months for intermediate and 9.1 months for subjects with poor risk. Conclusions: The results from this single-arm phase II study represent a near doubling of expected PFS and OS for unfavorable risk subjects treated with AGS-003 plus sunitinib. Updated survival and immunologic findings will be presented, as 8 of 21 subjects are still alive and continue to be followed. These results support the ongoing phase III ADAPT study, which is designed to validate these encouraging clinical and immunologic findings. Clinical trial information: NCT00678119.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".