Abstract 2223: Phase I clinical trial combining camu camu prebiotic enriched with castalagin modulates bile acids and metabolites in combination with cancer immunotherapy in patients with treatment-naïve lung cancer and PD-1 refractory melanoma (NCT05303493)
Bibliographic record
Abstract
Abstract Introduction: Several strategies to improve immune checkpoint inhibitors (ICI) activity are under evaluation. Pre-clinical murine studies have shown the potential of castalagin, a prebiotic polyphenol extracted from Camu Camu (CC) berry to beneficially shift the microbiome and metabolites leading to enhanced ICI response. We tested CC, an approved natural product, in a trial combined with ICI in melanoma (MM) and non-small cell lung cancer (NSCLC). Methods: We completed a phase I trial combining 1.5g daily of CC in oral capsules, started 7 days prior ICI initiation and continued for 3 months. The study included 2 arms: (1) advanced treatment-naïve NSCLC patients (pts) with PD-L1 <50% receiving anti-PD-1 and platinum doublet chemotherapy (chemo), and (2) ICI-refractory MM pts rechallenged with ICI. The primary endpoint was safety, the secondary endpoint included disease control rate (DCR; rate of partial response (PR), complete response, and stable disease (SD)). Exploratory analyses focused on CC’s impact on the microbiome composition and HPLC analysis for metabolites with particular focus on bile acid (BA) production. In parallel, murine experiments with supplementation of castalagin were conducted and in vitro assays were performed to explore its link to the BA pathway. Results: Of the 29 pts enrolled, none experienced AE related to CC alone. Among 14 NSCLC pts receiving CC+ICI+chemo, incidence of grade 3 adverse events (AE) was 29%, the DCR reached 43% (all PR), with 0 patient experiencing primary progressive disease. In the refractory MM cohort, incidence of grade 3 AE related to CC+ICI was 16%. Among the 12 evaluable pts, the DCR was 35% with 1 achieving a PR, while 2 had durable SD over an 18-month period. We measured BA concentrations in the feces of NSCLC pts and observed a rise in both primary and conjugated BA post-CC. In addition, metabolomic analysis revealed higher phenylbutyric acid level in the plasma of NSCLC. In MM, conjugated BA were enriched in the plasma post-CC. Similarly, administration of castalagin in a murine model resulted in elevated levels of DCA and UDCA in feces and serum. In mice, the modulation of FXR (main BA receptor) inhibited castalagin antitumor activity, highlighting its reliance on BA pathway. Moreover, stimulation of liver cells with urolithins metabolites of castalagin, induced the upregulation of key BA transporters Ostα/β, Tgr5 receptor and Cyp8b1 enzyme. Conclusion: Administration of CC showed no increase in toxicities with encouraging preliminary efficacy to ICI in pts mainly in the setting of refractory MM. Ongoing analyses aim to identify how microbial signature can shift BA pool and their functional role in clinical responses. These results position castalagin as a novel experimental therapeutic target in immuno-oncology. Citation Format: Jade Maillou, Reilly Pidgeon, Diogjena Katerina Prifti, Meriem Messaoudene, Sreya Duttagupta, Myriam Benlaifaoui, Yongjia Hu, Alysé Filin, Mayra Ponce, Wiam Belkaid, Julie Malo, Guido Kroemer, Sylvère Durand, Olivier Barbier, Nathalie Daaboul, Normand Blais, Mustapha Thefe, Marie Florescu, Rahima Jamal, Wilson Miller, Antoine Desilets, Bastien Castagner, Arielle Elkrief, Bertrand Routy. Phase I clinical trial combining camu camu prebiotic enriched with castalagin modulates bile acids and metabolites in combination with cancer immunotherapy in patients with treatment-naïve lung cancer and PD-1 refractory melanoma (NCT05303493) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2223.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".