Abstract 4677: The differences among various age groups of oral cancers in British Columbia
Notice bibliographique
Résumé
Abstract Oral squamous cell carcinoma (OSCC) is a disease commonly in those who are older and/or heavily smoke. However, the incidence of younger group is increasing world-wide. Research to understand this shift can have significant impact on oral cancer control. Objectives: 1) To determine the characteristics of OSCC in different age groups in a longitudinal study and 2) To compare the differences among groups. Methods: From 1990 to 2008, we recruited 536 OSCCs for the BC Oral Cancer Prediction and Longitudinal (OCPL) Study. We have arbitrarily put them into groups based on the age at initial OSCC diagnosis: 43 (8%) were equal to or under age 40 years (Young group); 212 (40%) were diagnosed between age 50 to 65 (Conventional group); 91 (17%) were age 75 or older (Old group). To better define the difference among various age groups, we excluded those between ages 41-49 (12%) and 66-74 (24%). Demographics, smoking habit, clinicopathological features of the lesion, treatment modalities, and outcome data were collected. The data were also compared with those from the BC Cancer Registry in the same period years to determine the representativeness of the BC population. Results: The Young OSCC from the OCPL Study had no significant differences from those in Registry in gender, anatomical location, tumor staging, and differentiation. When compared to the Conventional group, the Young group showed less Caucasian (66% vs. 86%, P = 0.005), less smokers (35% vs. 77%, P < 0.0001), tongue predilection (88% vs. 51%, P < 0.0001), more treated with combined chemotherapy (12% vs. 4%, P = 0.05), and better prognosis in distant metastases or death (16% vs. 47%, P < 0.0001). When compared to Conventional group, the Old group had more cancers involving more than one anatomical site (P = 0.028) and showed frequently distant metastasis (P = 0.0003). When comparing between the Young and Old groups, we found that the Old group had more Caucasians (86% vs. 66%, P = 0.02), ever smokers (66% vs. 35%, P = 0.001), less tongue location (42% vs. 88%, P < 0.0001) and significantly worse clinical outcome in local recurrence, regional recurrence and distant metastasis. Conclusion: Various age groups of early-staged oral cancer show different clinical behaviors. Nonsmokers and tongue-located tumor characterize the Young group which has a better prognosis in survival. More molecular studies are needed for better understanding the underlying driven force. An attempt to characterize the difference using-molecular tools is ongoing. This might shed the light in difference among different age groups. (Supported by grant R01 DE17013 from the National Institute of Dental and Craniofacial Research and grant CCSRI-20336 from Canadian Cancer Society Research Institute) Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4677. doi:10.1158/1538-7445.AM2011-4677
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 | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».