Phase I study investigating the safety of stereotactic body radiotherapy (SBRT) with anti-PD-1 and anti-IL-8 for the treatment of multiple metastases in advanced solid tumors.
Bibliographic record
Abstract
TPS2681 Background: Anti-PD-(L)1 immunotherapy improves outcomes for patients across various cancers; however, many patients do not benefit. Previous studies combining multi-site SBRT with anti-PD1 have confirmed feasibility and revealed induction of interferon signaling by SBRT. Elevated levels of serum IL8 (sIL8) associate with lack of response to anti-PD1 and we have observed that elevated IL8 is strongly associated with lack of response to immunotherapy and SBRT combinations. Overcoming IL8 induced epithelial-mesenchymal transitioning and trafficking of myeloid derived suppressor cells in tumor microenvironment therefore represents a promising strategy to overcome resistance. BMS-986253 is a fully human neutralizing antibody that binds to sIL8. The combination of BMS-986253 and nivolumab was safe in patients with advanced solid tumors. The present study aims to evaluate safety and preliminary efficacy of combining BMS-986253 with nivolumab and SBRT in patients with advanced solid tumors, Melanoma (MEL) and Renal Cell Carcinoma (RCC). Methods: This is a phase 1 open label single arm study (CT.gov: NCT04572451) which will include safety and efficacy cohorts. Patients will receive SBRT in 1-4 tumor lesions, in 3 or 5 fractions, at the total of 30 or 45 or 50 Gy based on the irradiated organ site. This will be followed by intravenous (IV) nivolumab (480mg q4 weeks (W)) and IV BMS-986253 (2400mg q2W) within seven days of completing SBRT. In the initial safety portion of the clinical trial, we will include 30 patients with advanced/metastatic solid tumors in order to evaluate safety. The primary endpoint of dose limiting toxicity will be assessed by continual Bayesian monitoring. The toxicities will be attributed to combination of SBRT/Immunotherapy as opposed to individual components. The secondary objective of the study is efficacy with an endpoint of objective response rate (ORR) as assessed by RECIST v1.1 in Mel and RCC. We will include 20 patients with MEL and RCC and compare against a historical benchmark of 20% ORR as sufficient signal of activity for further study. ORR will be assessed for association with serum IL-8 levels and radiation-induced changes in peripheral blood T cell populations. Clinical trial information: NCT04572451.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".