Do selective serotonin receptor inhibitor antidepressants reduce tamoxifen's effectiveness and increase the risk of death from breast cancer?
Notice bibliographique
Résumé
Tamoxifen has been shown over the past 30 years to be extremely effective in the treatment of estrogen receptor (ER)-positive breast cancer. The drug is widely used in the adjuvant setting where it reduces the risk of breast cancer recurrence by almost 40% and the risk of death from breast cancer by one-third [1]. It is now known that tamoxifen acts as a pro-drug. Its major active metabolites are N-desmethyl tamoxifen, which has a low affinity for ER, 4-hydroxy tamoxifen (4HT) and 4-hydroxy-N-desmethyl-tamoxifen (endoxifen). Endoxifen and 4HT have by far the highest affinity for ER and since endoxifen is produced in six to ten times the concentration of 4HT it is felt to be the most important metabolite. CYP2D6 is an enzyme of the cytochrome P450 family, subfamily D, found on chromosome 22. It catalyzes tamoxifen's metabolism and is encoded by a large polymorphic gene with more than 80 allelic mutations identified. Inherited variations alter the function of CYP2D6 and the geographic and ethnic distributions of these polymorphisms are varied. Drugs given concurrently can also alter the function of CYP2D6 by competing for its activity. The metabolic pathway of tamoxifen is shown in Figure Figure1.1. As can be seen, CYP2D6 catalyzes both tamoxifen's primary and secondary metabolism. Figure 1 Metabolic pathway of tamoxifen. CYP2D6 phenotypic expression can be divided into three groups: those with little or no enzyme activity (poor or intermediate metabolizers); those with normal enzyme activity (extensive metabolizers); and those with greatly increased enzyme activity (ultrarapid metabolizers). Several studies have shown that relapse free time and disease free survival as well as overall survival in women treated in the adjuvant setting with tamoxifen vary according to the presence of variants that produce ultrarapid, intermediate or low metabolism [2]. Results are, however, contradictory, with at least ten studies showing positive association between these genotypes and outcome and another eight showing no association [3]. Thus, evidence is contradictory as to how important CYP2D6 levels are to outcome with adjuvant tamoxifen therapy. The ideal study to confirm or refute the value of this association would be a randomized trial of tamoxifen versus no treatment as adjuvant therapy with these enzymes and endoxifen levels measured and correlated with the outcomes of recurrence and survival. In addition, a number of common drugs are known to be inhibitors of CYP2D6. Strong inhibitors include drugs such as chlorpromazine, fluoxetine, miconazole, paroxetine, quinidine and quinine whereas moderate inhibitors include cimetidine, diphenhydramine, haloperidol, ketoconazole, methadone, nicardipine and sertraline. Some selective serotonin receptor inhibitor (SSRI) antidepressants, such as venlafaxine (Effexor), are quite weak inhibitors of CYP2D6 activity. Kelly and colleagues [4] have recently shown in an observational population-based study from Ontario, Canada that women prescribed antidepressants, in particular paroxitene, concomitantly with tamoxifen adjuvant treatment had increasing breast cancer-related and/or all cause mortality whereas patients treated with the concomitant use of other antidepressants that are not such strong inhibitors, such as sertraline, fluvoxamine, fluoxetine and particularly venlafaxine, did not have this effect. Again, the interpretation of this study is limited by its observational design and the lack of measurement of endoxifen levels, which could help to draw the sort of direct conclusion one might like. In summary, tamoxifen pharmacogenetic studies in the past 20 years have detected a new active metabolite, endoxifen, which is likely most important in predicting outcome in relation to adjuvant therapy with tamoxifen. Several recent studies show a clear negative interaction between paroxitene and tamoxifen metabolism to endoxifen while other SSRIs such as venlafaxine do not appear to produce this effect. While it is clear that CYP2D6 plays an important role in tamoxifen metabolism and that drugs such as SSRIs can alter the phenotype, no consensus has been reached regarding the incorporation of CYP2D6 genotype testing in routine clinical practice, although an excellent recent review of this subject suggests that such testing may be useful [5]. Decisions to conduct genotype testing should still be individualized based on clinical indication and patient preference. Clinical trials to clarify this situation should be well designed, adequately powered prospective studies with strict inclusion criteria, genotype testing and endoxifen levels.
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 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 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,004 |
| 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 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 ».