Efficacy of immune-checkpoint inhibitors (ICI) in the treatment of older adults with metastatic renal cell carcinoma (mRCC): An international mRCC database consortium (IMDC) analysis.
Notice bibliographique
Résumé
5068 Background: Anti-PD-1/PD-L1 immune-checkpoint inhibitors (ICI) are now a standard of care in metastatic renal cell carcinoma (mRCC). Older adults were underrepresented in registration trials and given that immunological senescence may affect the anti-tumor activity of ICIs, there is uncertainty about the efficacy of ICIs in this population. Here we provide real world data on outcomes of older adults with mRCC treated with ICIs. Methods: Patients with mRCC treated with a PD-1/PD-L1 ICI either as monotherapy or as a combination treatment from 2000 to 2019 were included. Older adult was defined as ≥ 70-years at the time of ICI treatment. Descriptive statistics were summarized in means, medians and proportions. Efficacy was assessed by survival analysis, including overall survival (OS), time to treatment failure (TTF), and overall response rate (ORR). Multivariate analyses adjusted for imbalances in IMDC risk factors. P < 0.05 was considered statistically significant. Results: Of 1427 patients, 397 (28%) were older adults. Mean age of older vs. younger adults was 74 (70-92) vs. 60 (22-69) years. Groups were comparable in terms of gender (Female 28.5% vs. 26.1%, p = 0.36), rates of nephrectomy (21% vs. 18.3%, p = 0.24) and presence of sarcomatoid features (12.3% vs. 17.8%, p = 0.14). Proportion of IMDC risk-groups between older vs. younger adults were as follows: 15.4% vs. 18.2% for favorable, 61.2% vs. 59.1% for intermediate, and 23.4% vs. 22.7% for poor; there was no statistical difference (p = 0.55). ICI was used as 1st line in 40%, 2nd line in 48.5% and 3rd line in 11.5% patients; older adults were less likely to be treated with ICI in 1st line (32.2% vs. 43%, p < 0.01). In terms of survival, older adults had poorer median OS (25.1m vs. 30.8m, p < 0.01) but similar median TTF (6.9m vs. 6.9m, p = 0.40) compared to younger adults. In multivariate analyses, older age was not a predictor of either worse OS (aHR = 1.02, p = 0.86) or TTF (aHR = 0.95, p = 0.59). Older adults had a lower ORR compared to younger (24% vs. 31%, p = 0.01), which was mainly driven by responses in 1st line (31% vs. 44%, p = 0.02) and not observed in 2nd/3rd line (20% vs. 20%, p = 0.86). Conclusions: On multivariate analyses, older adults with mRCC treated with ICI had no difference in OS and TTF when compared to younger adults, despite having lower ORR in 1st line. Our data supports that older age is not an independent risk factor for survival; thus, treatment selection should not be based solely on chronological age.
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 | 0,004 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».