1037 Non-infectious sarcoid-like inflammatory granulomatous conditions (NSIGC) associated with Immune checkpoint inhibitors (ICIs) for cancer: updated results from the international ICARUS consortium
Notice bibliographique
Résumé
Background ICIs can cause a wide range of toxicities; however, limited data exists on NSIGC secondary to ICIs. Herein, we assembled the first international cohort of patients with cancer who developed NSIGC following ICI therapy.Methods We retrospectively collected data from 19 institutions worldwide on patients with cancer who received ICIs (alone or in combination with other drugs) between 2015-2025 and subsequently developed biopsy-confirmed NSIGC. The chi-squared goodness of fit test was used to analyze the association between different ICI regimens and NSIGC.Results The study included 141 patients with biopsy-confirmed NSIGC post-ICI. Of these, 58.9% (n=83) were male and 83.7% (n=118) were Caucasians. Median age at cancer diagnosis was 61 years. The top three cancers in the cohort were melanoma (51.8%; n=73), non-small cell lung cancer (16.3%; n=23), and renal cell carcinoma (6.4%; n=9). Our result showed a significant difference between expected and observed NSIGC frequencies across different ICI regimens (X2= 83.043, df=5, p < 0.0001)( table 1).Median time to NSIGC diagnosis post-ICI initiation was 7 months (range: 3.9-21.7 months). Of 141 patients, 53.9% (n=76) were diagnosed after treatment completion. Among these 76 patients, 59.4% (n=45) were diagnosed within 6 months, 14.5% (n=11) between 6-12 months, 9.2% (n=7) between 1-2 years, and 17.1% (n=13) were diagnosed after 2 years of treatment completion. The remaining 46.1% (n=65) were diagnosed during treatment. Among these, 41.5% (n=27) required permanent treatment discontinuation due to NSIGC and 4.6% (n=3) were re-challenged. Additionally, 40.4% (n=57) discontinued ICI therapy for other reasons, most commonly toxicity (47.4%; n=27) and disease progression (35.1%; n=20).There were 111 other immune-related adverse events reported in 80 patients, with colitis/diarrheas (n=21) and arthritis (n=19) being the most common. NSIGC was symptomatic in 28.4% (n=40), with 80% (n=32) achieving symptom resolution. The most commonly involved systems were skin/subcutaneous tissue (57.5%; n=23), followed by pulmonary system (32.5%; n=23). Steroid treatment for NSIGC was administered in 19.9% (n=28), with a median duration of 1.9 months. The overall response rate for the study population was 64.4%, and disease control rate was 77.3%.Conclusions To the best of our knowledge, this is the largest dataset to date demonstrating NSIGC as a rare side effect of ICIs. NSIGC frequently occurs after therapy completion but can also lead to ICI discontinuation. Biopsy confirmation is critical to prevent misdiagnosis, and further research is required to elucidate biology, risk factors, and implications for ICI continuation or rechallenge to optimize patient outcomes.Ethics Approval The IRB has reviewed the research study and determined that it meets the criteria for exemption from IRB review due to its retrospective design and minimal or no risk to patients. Name of the IRB: The University of Oklahoma Institutional Review Board for the Protection of Human Subjects ID: 17498 This study meets the criteria for a waiver of informed consent and is approved to be conducted without obtaining consent.Abstract 1037 Table 1NSIGC frequencies across different ICI regimens
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».