Abstract 2077: Genome-wide association study identifies the <i>GLDC/IL33</i> locus associated with survival of osteosarcoma patients
Notice bibliographique
Résumé
Abstract Survival rates for osteosarcoma, the most common primary bone cancer, have changed little over the past three decades and are particularly low for patients with metastatic disease. To date, few prognostic factors have been identified to be associated with survival in patients with osteosarcoma. We conducted an international, multi-institutional genome-wide association study (GWAS) to identify germline genetic variants associated with overall survival in 632 patients with osteosarcoma. Subjects were genotyped as part of our previously published osteosarcoma susceptibility GWAS, including 523 patients of >80% European ancestry and 109 patients from Brazil. We performed a time-to-event analysis and estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards models, with and without adjustment for metastatic disease. Cox models were adjusted for age at diagnosis, gender, significant principal components, and study/center. SNPs that reached P<10-4 in patients of European ancestry were followed up in patients from Brazil. The results were combined across case sets using a random-effects meta-analysis, and between-sets heterogeneity was evaluated using Cochran's Q chi-squared statistic and the I2 metric. Age (P<0.001) and presence of metastases at diagnosis (P<0.001) were associated with patient survival. In the combined analysis of 632 patients, the strongest association was SNP rs55933544, which was inversely associated with overall survival at genome-wide significance (HR=1.89 per copy of the T allele; 95% CI 1.5-2.4; P=1.3×10-8; I2=0%). Rs5593354 is located in intron 23 of the GLDC gene on chromosome 9p24.1, adjacent to the IL33 gene. This association was consistent across both the European (HR=1.9; P=1.6×10-6) and Brazilian (HR=2.1; P=8.4×10-3) case sets, and after adjustment for metastatic disease at diagnosis (combined HR=1.92; P=1.3×10-8), suggesting that this locus affects overall survival independent of metastatic disease. Kaplan-Meier curve analyses indicated a statistically significant difference between survival rates over time (log-rank test P<0.001) for both the dominant and multiplicative models for rs55933544. Using publicly available data, the risk allele was associated with lower expression of IL33, and lower expression of IL33 in osteosarcoma tumors was associated with worse survival in an independent set of 112 osteosarcomas (P<0.05). In conclusion, we have identified the GLDC/IL33 locus on chromosome 9p24.1 as associated with overall survival in patients with osteosarcoma. Further studies are needed to confirm this association and shed light on the biologic underpinnings of this susceptibility locus. Citation Format: Roelof Koster, Orestis A. Panagiotou, William A. Wheeler, Eric Karlins, Julie M. Gastier-Foster, Silvia Regina Caminada de Toledo, Antonio S. Petrilli, Adrienne M. Flanagan, Roberto Tirabosco, Irene L. Andrulis, Jay S. Wunder, Nalan Gokgoz, Ana Patiño-Garcia, Fernando Lecanda, Massimo Serra, Claudia Hattinger, Piero Picci, Katia Scotlandi, David M. Thomas, Mandy L. Ballinger, Richard Gorlick, Donald A. Barkauskas, Logan G. Spector, Margaret Tucker, Belynda Hicks, Meredith Yeager, Robert Hoover, Stephen J. Chanock, Sharon A. Savage, Lisa J. Mirabello. Genome-wide association study identifies the GLDC/IL33 locus associated with survival of osteosarcoma patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2077.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| 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 ».