Management of chronic myeloid leukaemia (CML) during pregnancy: A systematic review of maternal and foetal outcomes
Notice bibliographique
Résumé
Abstract Introduction The introduction of tyrosine kinase inhibitors (TKIs) has transformed the treatment of Chronic Myeloid leukaemia (CML), markedly improving prognosis and long-term outcomes. However, their use during pregnancy presents a complex clinical challenge due to concerns regarding teratogenicity and the absence of standardised treatment protocols. Despite advances in novel therapeutics, pregnancy is generally excluded from clinical trials, resulting in a substantial gap in high-quality, prospective data to guide clinical decision-making. The existing literature predominantly consists of retrospective case series and small observational cohorts, with limited information on novel agents, inconsistent reporting and variable follow-up. This heterogeneity limits the ability to draw robust, generalizable conclusions. Consequently, patients and clinicians often face difficult choices without an evidence-based consensus, balancing the risk of maternal disease progression against fetal harm. Given these uncertainties, a comprehensive, evidence-based synthesis of maternal and fetal outcomes across treatment strategies is urgently needed. This systematic review aims to address this gap by critically appraising and synthesising available evidence on the management of CML during pregnancy, to evaluate the effectiveness and safety of different therapeutic approaches on both maternal disease control and fetal development. Methods Following PRISMA guidelines, 96 studies from 24 countries were included from 2001 (introduction of TKIs) to 2025. These studies comprised observational cohorts and case series reporting maternal and fetal outcomes in CML pregnancies. Study quality was rated with the Newcastle-Ottawa and JBI scales. Therapies applied included TKIs, interferon-alpha (IFN-α), hydroxyurea (HU), leukapheresis, and watchful waiting. Treatment strategies evaluated independently were IFN-α (n=34), HU (n=10), and leukapheresis (n=9). In women taking TKIs, the strategies evaluated were first-trimester TKI exposure (n=267), watchful waiting after TKI cessation at conception (n=117), and TKI restarted in the second or third trimester (n=37). Primary outcomes were live births, congenital abnormalities, maternal hematologic (CHR), cytogenetic (CCyR), and molecular (MMR/CMR) responses. Results A total of 535 pregnancies were analysed. Of these, 267 pregnancies involved TKI exposure during the first trimester, predominantly imatinib (n=251), followed by dasatinib (n=9), nilotinib (n=4), bosutinib (n=2) and one with unspecified TKI exposure (n=1). Among first-trimester exposures with known outcomes (n=232), 195 live births (84.1%) occurred, with 26 preterm births and 37 miscarriages (14 elective, 23 spontaneous). Congenital abnormalities were reported in 20 cases (8.6%), most commonly cardiac, renal, skeletal and CNS anomalies, which is above the general population rate of 3-6%. In the watchful waiting group (n=117), where TKIs were stopped pre-conception or upon pregnancy confirmation, 116 live births were recorded (99.1%), with only 1 miscarriage and no congenital anomalies. However, molecular relapse occurred in 46% of cases, with MMR regaining postpartum within 3 months in most, and 13 patients achieving sustained treatment-free remission. INF-a therapy (n=34) resulted in 34 live births and a 79% CHR rate at delivery. HU therapy (n=10) resulted in 9 live births, one miscarriage and no reported abnormalities. Leukapheresis alone was utilised in 9 pregnancies with no adverse fetal outcomes. TKIs restarted in the 2nd or 3rd trimester (n=36), led to 36 live births. Significant molecular recovery was observed, with 23 achieving MMR and 7 achieving CMR postpartum. Conclusion Optimal outcomes in CML-affected pregnancies are closely linked to preconception planning, achievement of deep molecular remission and early TKI discontinuation. First-trimester TKI exposure poses quantifiable teratogenic risk. IFN-α has emerged as a safe and effective bridging therapy throughout pregnancy. However, data remains limited regarding the safety of newer generation TKIs, emerging therapies, and the impact of TKI re-initiation in later trimesters. These gaps highlight the urgent need for further research. Collectively, these findings reinforce the importance of a risk-adapted, individualised management strategy and emphasise the critical role of proactive pre-pregnancy counselling in women with CML.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,042 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,008 |
| Bibliométrie | 0,010 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».