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Record W1980393324 · doi:10.1353/hcr.2006.0012

Stem Cell Trials: Lessons from Gene Transfer Research

2006· article· en· W1980393324 on OpenAlexafffund
Jonathan Kimmelman, Françoise Βaylis, Kathleen Cranley Glass

Bibliographic record

VenueThe Hastings Center Report · 2006
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsMcGill University
FundersNational Academy of SciencesStem Cell Network
KeywordsStem cellEmbryonic stem cellTransplantationBiologyMedicineGeneticsGeneInternal medicine

Abstract

fetched live from 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...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.198
metaresearch head score (Gemma)0.299
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.198
Threshold uncertainty score0.989

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1980.299
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0050.004
Science and technology studies0.0040.053
Scholarly communication0.0130.026
Open science0.0060.007
Research integrity0.0270.043
Insufficient payload (model declined to judge)0.0070.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.252
GPT teacher head0.422
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2006
Admission routes2
Has abstractyes

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