Evaluation of quantitative sputum cytology as an intermediate endpoint biomarker.
Notice bibliographique
Résumé
A24 Lung cancer remains the leading cause of cancer death in North America. There is no widely accepted method to screen for this usually asymptomatic disease (particularly in it earlier more treatable stages). Recently the use of quantitative analysis of sputum cytology for lung cancer screening has been approved for lung cancer detection by Health Canada and LDSCT looks promising for peripheral disease detection although there still exists a substantial false positive nodule issue. Our group has focused on the systemic treatment of the early preinvasive stages of this disease through chemoprevention. While we have found that white light and fluorescence endoscopy with directed biopsies can establish the state of the central part of the bronchial tree at a specific time point, it is both some what invasive and only examines part of the organ at risk. In addition it modifies tissue at risk through sample removal. A similar strategy with LDSCT and needle biopsy is not feasible for the lung periphery. For these reasons we have examined quantitative sputum analysis as a biomarker of pre-invasive disease. In this study we present the correlation of a sputum score derived from the fully automated analysis of DNA-specific (Feulgen-Thionin) stained sputum samples mixing ploidy based classifiers and population based MAC (malignancy associated changes) classifiers in a single score, for more than 2200 cases. We correlated this biomarker with other know biomarkers (highest grade of biopsy confirmed dysplasia and/or biopsy morphometric index per subject, average grade of biopsy confirmed dysplasia and/or biopsy morphometric index per subject, cancer resection outcome in treated patients) as well as risk indicators such as age and smoking status and smoking history all stratified by sex. In all instances a correlation was observed independent of subject sex for which detailed results will be presented. A retrospective analysis of the performance of the sputum score on a previous lung cancer chemoprevention trial will also be presented. While the general correlation observed is not as strong as that for the directed invasively sampled biomarkers, the sample does potentially come from the entire organ at risk and may be a more comprehensive representation of the entire field instead of only that which is readily accessible. Supported by grant PO1-CA96964-04, NIH
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 tête enseignante, 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 ».