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Enregistrement W1980393324 · doi:10.1353/hcr.2006.0012

Stem Cell Trials: Lessons from Gene Transfer Research

2006· article· en· W1980393324 sur OpenAlex

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Notice bibliographique

RevueThe Hastings Center Report · 2006
Typearticle
Langueen
DomaineMedicine
ThématiqueBiomedical Ethics and Regulation
Établissements canadiensMcGill University
Organismes subventionnairesNational Academy of SciencesStem Cell Network
Mots-clésStem cellEmbryonic stem cellTransplantationBiologyMedicineGeneticsGeneInternal medicine

Résumé

récupéré en direct d'OpenAlex

Stem Cell Trials:Lessons from Gene Transfer Research Jonathan Kimmelman (bio), Françoise Baylis (bio), and Kathleen Cranley Glass (bio) Since 1998, when James Thomson and John Gearhart reported the first successful derivation of human embryonic stem cells and human embryonic germ cells, respectively, the scientific community has championed the therapeutic potential of these cells. Indeed, despite the restrictions on embryo research in some jurisdictions and despite the recent controversy surrounding the validity of the stem cell research conducted by Woo Suk Hwang, stem cells may soon enter their first human trials—possibly within a year. Stem cell transplantation will not be the first biotechnology to begin trials amid revolutionary expectations and moral apprehension. More than fifteen years ago, the first experiments with gene transfer in human somatic cells inspired similar hopes and fears. Gene transfer quickly evolved into a competitive research area, but its progress was checked by ethical missteps. With embryonic stem cells poised to begin human trials, now is an opportune time for scientists and ethicists to review some of gene transfer's ethical miscues. Moving Too Quickly From the first protocol involving humans, gene transfer was caught up in ethical controversy. In 1980, hematologist Martin Cline began gene transfer trials without prior approval from his institutional review board (IRB); neither the National Institutes of Health (which supported the study) nor committees at a collaborating institution in Israel were apprised of the fact that his protocols involved recombinant DNA. The studies were faulted for their scientific prematurity, and Cline became the first clinical investigator to be formally sanctioned by the NIH for violating human subjects regulations. In 1992, another controversy erupted when the NIH recommended canceling a contract of a prominent gene transfer researcher, Steven Rosenberg, for pursuing trials without sufficient preclinical data. Episodes like these created early impressions that gene transfer researchers were moving into human studies too aggressively. Click for larger view View full resolution Monstrance, Part of Stilled Lives Series, by Helen Chadwick, 1996 (unfinished at artist's death). Iris print and perspex, 115 x 56 x 8 cm. © Helen Chadwick Estate, courtesy of Zelda Cheatle. There are various indications that some prominent stem cell researchers have not fully absorbed gene transfer's cautionary lessons. As this essay goes to press, cloning pioneer Woo Suk Hwang has admitted to ethical improprieties in obtaining human eggs and is under investigation for scientific fraud. Elsewhere, two different research groups (one backed by Geron, the other by ES Cell International) are reportedly nearing human studies despite concerns expressed by many about the safety and prematurity of such trials. [End Page 23] Scientific Value Gene transfer suffered another setback in 1995 when an NIH-commissioned review concluded that "only a minority of clinical studies . . . [had] been designed to yield useful basic information." The report emphasized that initial studies were "exploratory" and "many clinical gene therapy studies thus far have not met [high] standards [of experimental design]." Because of their novelty, stem cell transplantation trials will necessarily involve high levels of indeterminacy regarding risks, methods, and standards. Considering such uncertainty, the move from animal to human trials requires first that the questions asked not be answerable using in vitro or animal models, and second, that the protocol be designed so as to maximize its yield of knowledge. Moreover, participants in early trials are unlikely to benefit directly. Maintaining a favorable ratio of harms to benefits, as required under all major codes of ethics, will thus demand exacting scientific and safety standards for early phase I trials and care in the selection of research participants. The Therapeutic Misconception Patient advocates have often misconstrued gene transfer trials as aimed at delivering therapy, and researchers have frequently contributed to this conflation of research and therapy. However, trials impose requirements (for example, in phase I studies, doses are administered that are anticipated to be subtherapeutic) that abrogate medicine's mandate to provide personalized care. Whereas the primary goal of clinical practice is patient care, the primary goal of research is knowledge production. Novel interventions like gene transfer are unproven, and investigators who promote the perception that early phase trials are therapeutic mislead their patient-participants. The concern about therapeutic misconception is heightened for...

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,465
Score d'incertitude au seuil0,277

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,252
Tête enseignante GPT0,422
Écart entre enseignants0,169 · 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