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Enregistrement W4281285399 · doi:10.1002/ajh.26618

Caution in using second generation tyrosine kinase inhibitor, especially for first line therapy of chronic myeloid leukemia

2022· letter· en· W4281285399 sur OpenAlexaff
Carlo Gambacorti‐Passerini, Franck E. Nicolini, Richard A. Larson, Andrea Aroldi, Diletta Fontana, Rocco Piazza, Philipp le Coutre, Laura Antolini, Sarit Assouline

Notice bibliographique

RevueAmerican Journal of Hematology · 2022
Typeletter
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensMcGill UniversityJewish General Hospital
Organismes subventionnairesAssociazione Italiana per la Ricerca sul Cancro
Mots-clésMedicineMyeloid leukemiaPopulationCancer registryCancerInternal medicineOncologyIncidence (geometry)LeukemiaTyrosine-kinase inhibitorClinical trial

Résumé

récupéré en direct d'OpenAlex

A normal life expectancy for chronic myeloid leukemia (CML) patients treated with tyrosine kinase inhibitors (TKIs) was first identified in 2011 and 2014 as a result of clinical trials,1-3 and later confirmed by Bower et al. at the level of a nationwide tumor registry.4 The same Swedish group now presents data on morbidities in the same CML patient population.5 Their results are important and deserve attention. However, part of the data require further discussion and some raise doubts. Rates of 142 nominal disease categories were significantly increased in CML patients versus the general population, even after excluding the initial 6 months of treatment, when factors associated with the presence of uncontrolled leukemia could be involved in generating the reported abnormalities. Second cancers are notably absent since the authors decided to exclude them, while an excess of cardiovascular diseases (CVD) is present. This fact is surprising for several reasons: Patients with a cancer diagnosis in general6 and those with Chronic Myeloproliferative diseases (CMPD) in particular, are known to have an increased incidence of second neoplasias when compared to the general population. Landtblom and colleagues7 using the same Swedish registry found an increase of 60% in the incidence of second cancers, particularly skin, kidney, brain, pancreas, lung, head and neck, endocrine cancers, and malignant melanoma in Ph-negative CMPD, Frederiksen et al,8 using a Danish registry, identified an increased risk of second cancers in CMPD patients including CML patients, in whom the relative risk was 1.6. Rebora and colleagues9 using the Swedish database but in the pre-imatinib era reported an increased risk of stomach, skin, urogenital tract cancers, and lymphoid leukemia for CML patients. Based on these data our general policy for CML patients is to actively look for early diagnosis of second cancers. Whether this result derives from increased susceptibility, increased monitoring of patients or both, it remains to be established. Imatinib, the most frequently used TKI, has not been associated with increased risk of CVD, rather it was even suggested to be “cardioprotective.”10 This could be linked to the preferential inhibition of PDGFR over ABL1 operated by imatinib. Could it be that the apparent absence of neoplastic diseases in the present analysis from Bower originates from a relative but artificial increase of CVD incidence due to a possible direct dependence between time to second neoplasia and CVD? A second important aspect of this paper relates to the use of second generation TKI (2GEN). The report from Dahlén identified several serious and potentially fatal adverse events that were significantly increased in patients treated with 2GEN when compared to imatinib users, utilized here as a benchmark. This was particularly evident for nilotinib and dasatinib, for which sufficient data were available, while insufficient data were present regarding the use of bosutinib and ponatinib. Not surprisingly, Nilotinib resulted in an increased risk of cardiovascular events (myocardial infarction, hypertension, atherosclerosis, chronic myocardial disease) and diabetes development, while dasatinib use showed increased risks of pleural effusions and infections. Since CML patients may be taking these TKIs for many years, it is incumbent on physicians to manage and minimize treatment-related risks and co-morbid conditions. Given these results and the fact that 2GEN failed to substantially decrease the risk of CML progression to accelerated phase/blast crisis, when tested against imatinib in more than 15 controlled studies in the first line setting (Table 1),11 extreme caution should be exercised when deciding to use 2GEN, especially for the first line treatment of chronic phase CML patients. It is reassuring to see that imatinib remains the most frequently prescribed TKI for CML over the time analyzed in this study. Risk assessment using the Sokal or ELTS score can identify the low- and intermediate-risk patients who definitely do not require initial treatment with a 2GEN. Imatinib constitutes an efficient, safe, and considerably less expensive first line CML treatment option. Its cost will undoubtedly constitute an additional advantage in countries with limited resources to assure treatment availability without financial restrictions. 2GEN definitely fulfill an important role in the treatment armamentarium, but are best used in second or subsequent lines of treatment, and according to their ability to cover drug-resistant mutations. Several physicians also use 2GEN initially for high-risk patients; while this use is frequent, no controlled study or a sub-analysis of it ever documented a statistically significant difference in this subgroup when compared to imatinib. When dealing with high-risk patients a close monitoring of the patient clinical course is probably the best strategy, in order to shift TKI or to proceed to BMT without delay. Interestingly, the use of nilotinib peaked from 2011 to 2013 in the Dahlén study, when this drug was aggressively marketed for first line treatment of CML, but then dropped in subsequent years, perhaps reflecting the emerging data of increasing CVD risk with time. It is also true that 2GEN generally lead to faster decrease in minimal residual disease; however, curves come close with time, and the failure rate of treatment discontinuation after imatinib or 2GEN is not different.12 In conclusion, the report from Bower et al. highlights an important issue in the management of CML: when a normal life expectancy is the goal of the therapy, the safety of the chosen TKI becomes of paramount importance, especially for first line therapy. Further research on the incidence of second cancers and of CVD in the entire cohort of CML patients is still needed. The authors gratefully acknowledge the help of Federica Poggi, M.Sc., for editorial management. Funded in part from AIRC under IG 2017 - ID. 20112 project—P.I. Gambacorti-Passerini Carlo. Richard A. Larson has acted as a consultant or advisor to Amgen, Ariad/Takeda, Astellas, Celgene/Bristol Myers Squibb, CVS/Caremark, Epizyme, Immunogen, MedPace, MorphoSys, Novartis, and Servier, and has received clinical research support to his institution from Astellas, Celgene, Cellectis, Daiichi Sankyo, Forty Seven/Gilead, Novartis, Rafael Pharmaceuticals, and royalties from UpToDate. The other authors declare no potential conflict of interests. Data sharing is not applicable to this article as no new data were created or analyzed in this study.

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)0,011
score de la tête « metaresearch » (Gemma)0,038
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,058

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,038
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0050,009
Charge utile insuffisante (le modèle a refusé de juger)0,0040,004

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 Opus0,030
Tête enseignante GPT0,292
Écart entre enseignants0,262 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations3
Publié2022
Routes d'admission1
Résumé présentoui

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