Long term outcomes of patients with advanced/unresectable melanoma treated with immune checkpoint inhibitors.
Notice bibliographique
Résumé
e21518 Background: Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of advanced/unresectable melanoma. There is a need for long term follow up of patients (pts) treated with ICIs in the real world to evaluate durability of response and facilitate follow-up care. Methods: Pts ≥ 18 years (y) old with advanced/unresectable melanoma who received ≥ 1 cycle of ICI at BC Cancer between 2012 and 2022 were identified using the BC Cancer Registry and pharmacy databases. Best overall response of complete response (CR), partial response (PR), stable disease (SD) or progressive disease (PD) was obtained from CT and PET reports. Oligo-progression that was successfully treated with local therapy was not considered true progression. Results: In total 530 pts were identified. The median follow up for alive pts was 65 months (m) (range 1.4 – 150 m); the median age was 66 y (range 21 – 98). The majority were male (63%) and Caucasian (91%), with ECOG performance status 0 (38%) or 1 (48%). Primary tumour origin was cutaneous (n = 390, 74%), mucosal (n = 36, 7%), ocular (n = 47, 9%) or unknown (n = 57, 11%). BRAF V600 mutations (mut) were identified in 35% of pts (40% cutaneous/unknown). Pts either received PD-1 inhibitor alone (PD-1i) (n = 242, 46%), combination ipilimumab and nivolumab (ipi/nivo) (n = 136, 26%), ipilimumab alone (ipi) (n = 83, 16%) or sequential use of ipi and PD-1i (sequential) (n = 69, 13%). Overall survival (OS) was superior in cutaneous/unknown (5 y 34.5%) compared with mucosal (5 y 28%) and ocular (5 y 5%) primaries (p < 0.001). Excluding ocular cases for the ensuing analyses, by treatment group (ipi/nivo, PD-1i, ipi, sequential) the 5 y OS was 43%, 36%, 37% and 10%, respectively (p < 0.001). Pair-wise comparison of ipi/nivo vs PD-1i favored ipi/nivo (OS p = 0.059) despite a greater proportion of pts with M1d disease (24% vs 15%; p = 0.012). The benefit of ipi/nivo was more pronounced in pts < 65 y (5 y OS 45% vs 36%; p = 0.07), but less clear in pts ≥ 65 y (5 y OS 40% vs 36%; p = 0.385). An OS benefit was observed with ipi/nivo in pts with BRAF wild-type disease (5 y 47.5% vs 33%, p = 0.018 (cutaneous/unknown only, p = 0.021) but not in patients with BRAFmut positive disease (5 y 38% vs 41.5%, p = 0.989). Those treated with ipi/nivo vs PD-1i had numerically higher rates of CR (37% vs 26%), though pts who achieved a CR with either ipi/nivo or PD-1i had a similar 5 y OS (88% vs 96%; p = 0.285). To minimize guarantee-time bias, a 1 y landmark analysis was performed for those treated with ipi/nivo and PD-1i, excluding pts that died during the first year. 5 y OS differed significantly by response (CR, PR, SD, PD) to both ipi/nivo (86%, 36.5%, 42%, 8%; p < 0.001) and PD-1i (90.5%, 35%, 16%, 19%; p < 0.001). Conclusions: Overall, pts treated with ipi/nivo have the best long-term outcomes. However, outcomes are similar in pts treated with PD-1i who have a CR. Further, in older pts and pts with BRAFmut positive disease the benefit of ipi/nivo over PD-1i is less clear.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».