Increased skin autofluorescence predicts future cancer development
Notice bibliographique
Résumé
Tissue glycation, assessed through skin autofluorescence (SAF) using an AGE reader, is linked to an increased risk of type 2 diabetes (T2D), cardiovascular disease (CVD), as well as mortality from both CVD and cancer. It was also suggested that higher SAF be linked to a greater incidence of cancer. We aimed to evaluate the relationship between SAF and the time to a new cancer diagnosis in the Lifelines Cohort Study, a population-based study in the Northern Netherlands, in participants with and without T2D. Initial participants' screening was performed between 2006 and 2013. Detailed pathology diagnoses were obtained from the Dutch Nationwide Pathology Databank (Palga) and linked to Lifelines data up to March 2023. We performed Cox proportional hazards analyses adjusted for confounders to investigate the relationship between SAF and cancer incidence. A total of 77,961 participants (75,678 without T2D; 42% males; mean age 43 ± 12 years and 2,283 with T2D; 53% males; mean age 56 ± 12 years), who were free of cancer, were followed for a median of 11.5 years. Cumulative cancer incidence was 10.7% in males and 12.5% in females without diabetes, and 23.6% and 20.2% in males and females with T2D, respectively. SAF was significantly linked to an increased cancer incidence (HR 2.36, 95% CI 2.26-2.45, p < 0.001) in the entire cohort. This relationship was significantly stronger in males than in females (HR 3.13, 95% CI 2.95-3.33, p < 0.001 vs. 1.96, 95% CI 1.86-2.07, p < 0.001). After adjusting for age, sex, waist circumference, body mass index, pack-years of smoking and presence of diabetes and metabolic syndrome, the association between SAF and cancer remained significant (HR 1.11, 95% CI 1.05-1.17, p < 0.001). Sensitivity analyses for incident cancers diagnosed more than 2 years after baseline Lifelines screening and incident cancer after skin cancer exclusion yielded similar results. Especially lung, oesophageal and urinary tract cancer (all p < 0.001) and ovarian, female genital and liver cancer (p < 0.05) were associated with increased SAF. Similarly, higher SAF was linked to increased cancer incidence in people with T2D (HR 1.76, 95% CI 1.50-2.06, p < 0.001). This relationship was no longer statistically significant after adjusting for age and sex (HR 1.07, 95% CI 0.89-1.29) or for all confounders (HR 1.07, 95% CI 0.86-1.32). We conclude that, alongside its previously established application in evaluating the risk of future diabetes, CVD, as well as cause-specific mortality in people without diabetes, higher SAF measurements are linked to a slightly higher incidence of cancer.
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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 | 0,000 | 0,000 |
| 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 | 0,000 | 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 ».