P-13 Genomic variation in symptom expression in men with castrate resistant prostate cancer
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Notice bibliographique
Résumé
<h3>Background</h3> Men with castrate resistant prostate cancer (CRPC) suffer from symptoms related to both their disease and its treatment with marked variation between individuals with respect to symptom expression despite similar tumour burdens. This may be related to genetic variation. <h3>Objective</h3> This study aimed to determine whether genetic variation in cytokine expression can predict severity of symptoms in men with CRPC and investigate whether symptom severity was related to tumour burden. <h3>Methods</h3> A prospective, longitudinal consecutive patient cohort study across two Queensland sites. Patient characteristics including tumour burden and current treatment were collected at baseline. Symptom severity was assessed using the Edmonton Symptom Assessment Scale (ESAS-R) 3–4 weekly for up to 6 assessments, with blood taken for genetic analysis once during the study. Cytokine gene variants of each participant were assessed using a panel of SNPs most reported to be associated with symptom variation in the literature. Analysis was performed using R software and the package SNPassoc (R Core team, 2021; Gonzalez JR. et al, 2007). <h3>Results</h3> Twenty-eight of 67 (42%) of participants had a low, and 39/67 (58%) a high tumour burden. Tumour burden remained constant throughout the study period for all participants. Twenty-six of 67 (39%) participants were classified as having low ESAS-R severity and 67 (61%) as high ESAS-R severity. Symptom severity was not related to tumour burden or patient characteristics. One hundred and forty-four SNPs from 63 participants were analysed, of which results were available for 142 SNPs. Fifteen SNPs were significantly associated with symptom severity. In multivariable analysis, SNP rs2069772 in IL2 (p = 0.001), rs1554606 in IL6 (p=0.003), rs2227306 in IL8 (p=0.008) and rs2069718 in IFNG (p=0.001) were highly predictive of symptom severity. <h3>Discussion</h3> Although multiple factors can influence symptom severity, genetic variation may well play a part. The early identification of men likely to develop severe symptoms during the course of their prostate cancer could theoretically enable symptoms to be managed more aggressively from an early stage. Our findings also add to the expanding data bases that document the associations of genetic polymorphism with both disease and symptom expression.
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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 | 0,000 |
| 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) | 0,000 | 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 découle