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Enregistrement W4405034695 · doi:10.1182/blood-2024-204618

Anthracycline Exposure and Breast Cancer Risk in Female Hodgkin Lymphoma Survivors

2024· article· en· W4405034695 sur OpenAlexaffabout
Karla Machlab, Vivian Aghanya, Lee Mozessohn, Michael Crump, Danielle Rodin, Ning Liu, Anca Prica

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health NetworkHealth Sciences CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative Sciences
Organismes subventionnairesnon disponible
Mots-clésAnthracyclineMedicineBreast cancerCumulative incidenceInternal medicineOncologyHazard ratioPopulationChemotherapyCohortCancerIncidence (geometry)SurgeryConfidence interval

Résumé

récupéré en direct d'OpenAlex

Background Treatment of Hodgkin Lymphoma (HL) is based on a risk-stratification approach and typically involves an anthracycline-based chemotherapy regimen with or without radiotherapy (RT). In female HL survivors, there is a strong association between chest RT and increased risk of breast cancer. However, the impact of chemotherapy agents on this risk has not been extensively studied. Recently, a Dutch cohort study found that doxorubicin exposure is associated with an increased breast cancer risk in a dose dependent manner in female HL survivors (Neppelenbroek et al. 2024). As RT volumes and doses decrease, and the therapeutic focus shifts more towards chemotherapy, it is important to better characterize the toxicity associated with these agents, including anthracyclines. This study aims to evaluate the incidence of breast cancer in female HL survivors treated with anthracyclines. Methods We conducted a retrospective, age-matched population-based cohort study of female HL survivors in Ontario, Canada. We included 1089 females aged 12 to 60 who received anthracycline treatment within a year of HL diagnosis from January 1991 to December 2018. Patients with a history of cancer diagnosis or treatment were excluded. HL survivors were matched to controls (1:4) based on age and excluded if they had a history of cancer. The primary outcome was overall cumulative incidence of breast cancer from anthracycline exposure to December 2023. The incidence of breast cancer was estimated with cumulative incidence functions (CIF). We used a Fine-Gray subdistribution hazard model to estimate the hazard ratio (HR) of breast cancer, with death as a competing risk. Among HL survivors, we evaluated whether a higher cumulative anthracycline dose (>250 mg/m2) was associated with an increased risk of breast cancer, adjusting for chest RT. Results The mean age at anthracycline exposure was 28.56 ± 12.58 years (range 11-60) and median follow-up was 11.13 years (IQR 7.49-15.19). 545 females received a cumulative anthracycline dose ≤ 250 mg/m2 (168.61 ± 45.99) and 544 received ≥ 250 mg/m2 (305.23 ± 41.45). In those that received ≤ 250 mg/m2, 64% received RT within one year of diagnosis (49.4% chest RT). In the ≤ 250 mg/m2 group, 29.6% received RT within one year of diagnosis (25.4% chest RT). In the ≤ 250 mg/m2 group, 17 (3.1%) developed breast cancer 17.35 ± 5.80 years following anthracycline exposure, 38 (7.0%) developed another malignancy and 32 (5.9%) died during follow-up. In the ≥ 250 mg/m2 group, 7 (1.3%) developed breast cancer 13.58 ± 8.23 years following anthracycline exposure, 24 (4.4%) developed another malignancy and 46 (8.5%) died during follow-up. Compared to age-matched controls, cases had a higher incidence of breast cancer (HR: 2.37, 95%CI: 1.43-3.93, p=0.0008) and death (HR: 7.1, 95% CI:4.98-10.1, p<0.0001). Matched unadjusted CIF curves showed that at 15 years, the incidence of breast cancer and death was 1.71% (95% CI 0.83-3.15) and 7.73% (95% CI 6.09-9.61) respectively in cases compared to 1.39% (95%CI 0.96-1.95) and 1.30% (95% CI 0.92-1.7) in controls. At 20 years, the incidence of breast cancer and death was 5.25% (95% CI 2.65-9.13) and 8.06% (95% CI 6.32- 10.06) respectively in cases compared to 1.76% (95% CI 1.22-2.46) and 1.85% (95% CI 1.28- 2.59%) in controls. Subgroup analysis demonstrated that this difference was observed in anthracycline-exposed cases that received chest RT compared to age-matched controls (HR 6.93, 95% CI 3.13-15.36, p<0.001). Cases that did not receive chest RT had a similar breast cancer risk to controls (HR 1.015. 95% CI: 0.47-2.18, p=0.97). Using an age-time scale approach, we found that among HL survivors, patients who received chest RT were at a significantly increased risk of developing breast cancer (HR: 2.99, 95%CI: 1.28-6.99, p=0.0117). Anthracycline dose did not impact this risk when comparing low and high dosage groups (HR 0.45, 95% CI: 0.18-1.12, p=0.085). Conclusions Our study found that female HL survivors remain at an increased risk of developing breast cancer, largely driven by chest radiation, and had reduced overall survival, compared to age-matched controls. However, we did not find a dose-dependent relationship between anthracycline exposure and breast cancer risk; thus, we could not validate previous population-based studies in this setting. This may be limited by the length of follow-up and small number of breast cancer events.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,195
Score d'incertitude au seuil0,388

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,267
Écart entre enseignants0,258 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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