Gene therapy to cure haemophilia: Is robust scientific inquiry the missing factor?
Notice bibliographique
Résumé
Haemophilia, a rare inherited bleeding disorder, is caused by a defect in the factor VIII (FVIII) (haemophilia A) or factor IX (FIX) (haemophilia B) gene leaving people with haemophilia (PWH) at significant risk of spontaneous bleeding and resultant severe pain, joint disease, disability and premature death.1 From our earliest memories, we, all men born with severe haemophilia, have dreamed of a cure. We witnessed many false starts beginning in the 1990s through the 2000s2 until the first hint of effectively ameliorating our phenotypes appeared.3 Development of the FIX Padua mutation, offering fivefold to sevenfold higher specific activity, and recent FVIII trials have allowed the possibility that the severe haemophilic phenotype really could be changed to mild or even normal.4, 5 The biology of introducing adeno-associated virus vector (AAV) delivering a coagulation factor into humans has fallen far behind the phenomenologic changes in phenotypes. With gene therapy, a change from severe to mild or normal phenotypes is a major accomplishment but a discriminating review of the data is unsettling. A framework of known unknown questions has been developed,6 which remain largely unanswered2 despite the fact that large-scale clinical trials are moving towards completion.7 For the first time in haemophilia, a core outcome set for gene therapies has been developed (coreHEM) with the involvement of patients, clinicians, researchers, drug developers, regulators and payers.8 Patient involvement ensured that efficacy outcomes were both meaningful and relevant to those living with haemophilia. Core outcomes also include safety events required as per good clinical practice and regulatory guidance, including liver toxicity, immune responses to transgene and capsid, thrombosis, development of other disorders, vector integration into host genome, duration of vector-neutralizing responses and cause of death. These efficacy and safety outcomes were relevant when they were adopted and remain so as gene therapy nears the market. In our view, circulating factor level is the key determinant in the success of gene therapy.9 Regarding safety, mildly elevated transaminases have been largely dismissed because the increases are mostly transient. This ignores the cause and whether there is ongoing low-level liver damage, analogous to what our community has seen with hepatitis C.10, 11 Are we taking AAV-induced liver inflammation as seriously as a 'one-and-done therapy that cannot be withdrawn' should dictate? Safety considerations are once again paramount with the very recent report of the deaths following liver complications of two children on an AAV gene therapy trial (AT132) for X-linked myotubular myopathy.12 Another safety aspect largely discounted 13 is low-level AAV integration. While significantly less efficient at integration than lentiviruses or retroviruses, given the trillions to quadrillions of vector genomes dosed, millions of integrations into the liver (and elsewhere) nevertheless occur.14 Additionally, no data have been published about the possible impact on an innate immune response of an adventitious virus (Sf-rhabdovirus), which persists in insect cell lines used to manufacture some AAV vectors.15 When there is a lack of scientific consensus, we should not allow a rush to commercialization to unduly influence decisions. Where there is known uncertainty, such as integration, foundational research should be undertaken. The HIV epidemic in PWH analogizes our concerns regarding decision-making16 and the precautionary principle. We recognize that uncertainty is unavoidable; some questions cannot be fully answered premarket. The numerous uncertainties, however, highlight the importance of a global longitudinal surveillance registry to capture outcomes for all PWH undergoing gene therapy.17, 18 Clotting factor levels considerably above the upper normal limits of 150 IU/dL were observed in some patients in some FVIII and FIX studies.5, 19, 20 This calls into question reliability and variability, and underscores the importance of full safety data disclosure by all sponsors. All haemophilia gene therapy trials have had participants at the low and high ends of response, with ranges of sixfold to >10-fold. Identifying the causes of inter- and intra-individual variability has not been a research priority, yet finding root causes of the variability might permit potential mitigants to be identified. Mitigation would include searching for interventions ranging from AAV manufacture to vector infusion to final protein secretion from the hepatocytes. Variability may or may not be related to durability. Published FIX data suggest stable expression for at least 8 years.21 Canine data for FVIII suggest stable lifetime expression. A human trial, however, shows a loss of FVIII from the end of year 1 to year 4.22, 23 Other sponsors have released no long-term data. Much more research is needed to understand the reasons for this decline. Decreases in bleeding and factor utilization will follow rises in clotting factor activity, and thus, FVIII or FIX activity is a quantitative discriminant for gene therapy success.8, 9 Since factor levels are dropping in some individuals, there has been a movement to disregard the levels and look only at bleeding rates and factor usage. This is a revisionist and unacceptable solution to establishing efficacy of gene therapy.8 Ethical considerations both premarketing and postmarketing, including robust education and discussion of the knowns, unknowns and alternative treatment options before or after gene therapy remain of paramount importance. The informed consent process, and process once these products are marketed, should include a well-structured framework of shared decision-making between healthcare providers and patients. This is an urgent reminder while gene therapy is under clinical investigation. We need more transparency from all those pursuing clinical trials, including meaningful research on the unanswered questions around safety, variability and durability of response. Only in this environment, we can have confidence in this technology. A global registry is a vital and necessary foundation for tracking safety and efficacy,17, 18 but observational studies alone do not substitute for scientific investigations to further our biologic knowledge of this new and promising therapeutic modality. The authors stated that they had no interests which might be perceived as posing a conflict or bias. All authors wrote the manuscript. GFP is a consultant to Ambys Medicines, BioMarin, CRISPR Therapeutics, Decibel Therapeutics, Geneception, Generation Bio, Third Rock Ventures, Voyager Therapeutics. RK is on the BioMarin clinical trial steering committee and a recipient of a Bayer Hemophilia Awards Program research grant. BO'M is a consultant for BioMarin, Freeline and UniQure. MWS is a consultant for the National Hemophilia Foundation and has received independent research funding from Bayer, BioMarin, CSL Behring, Freeline, Novo Nordisk, Roche, Sanofi, Sobi, Takeda, uniQure; and fees for advisory board or educational presentations from Bayer, Biomarin, Novo Nordisk, Pfizer (DMC), Roche/Genentech, Sanofi and Spark (DMC).
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 | 0,000 | 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».