Bibliographic record
Abstract
There came a time when the risk to remain tight in the bud was more painful than the risk it took to blossom. Anaïs Nin Risk, failure, and success are all part of the same equation. We attempt to prevent risk, but we can never avoid it. If risk avoidance becomes the sole guiding principle, immobility results. The large number of clinical trials in gene therapy implemented over the past 20 years attests to the willingness of all stakeholders to confront potential risk and make gene therapy successful. Despite increasing enthusiasm for gene therapy over the past decade, in this issue of Molecular Therapy, Deakin et al. ask whether clinical gene therapy has become too risk aversive—and, if it has, whether this is delaying progress.1Deakin CT Alexander IE Kerridge I Accepting risk in clinical research: is the gene therapy field becoming too risk-averse.Mol Ther. 2009; 17: 1842-1848Abstract Full Text Full Text PDF PubMed Scopus (35) Google Scholar The authors highlight a number of pertinent issues regarding risk assessment in gene therapy, underscoring the notion that clinical risk is successfully addressed through strong preclinical data, the involvement of patients and caregivers, and a detailed ethical discussion of the potential dangers when testing a new therapeutic. The key issue addressed by Deakin et al. is who should define acceptable risk. It is surprising that it has taken gene therapists 20 years to raise this question, which has generally been considered answered by those involved in determining the safety, ethics, and informed-consent process and in overseeing the intricate process of initiating clinical trials in gene therapy. The authors suggest that the status quo has steered clinical trials toward approaches promoted as safer, particularly with regard to patient populations that can be enrolled. They argue that the regulatory and ethical bias toward perceived safety has led to trials being performed on patients who may have little to benefit from a risky procedure, either because they have a mild, non-life-threatening form of the disease or because their disease may have advanced too far to be significantly ameliorated by a particular gene therapy approach. When we estimate the risk-to-benefit ratio, as the numerator approaches zero, the denominator approaches infinity. If potential clinical benefit is compromised by a flawed consideration of disease physiopathology,2Lowenstein PR Clinical trials in gene therapy: ethics of informed consent and the future of experimental medicine.Curr Opin Mol Ther. 2008; 10: 428-430PubMed Google Scholar,3Lowenstein PR A call for physiopathological ethics.Mol Ther. 2008; 16: 1771-1772Abstract Full Text Full Text PDF PubMed Scopus (8) Google Scholar whether the procedure will be safe becomes clinically irrelevant. Deakin et al. argue cogently that a stronger voice should be given to patients, scientists, clinical investigators, and other stakeholders, to complement the authority currently bestowed on bioethicists and other nonstakeholders who oversee the administration of gene therapy. In a Commentary in this issue, Kimmelman takes a different view.4Kimmelman J Tomorrow, interrupted?: risk, ethics, and medical advance in gene transfer.Mol Ther. 2009; 17: 1838-1839Abstract Full Text Full Text PDF Scopus (3) Google Scholar He finds plenty of evidence for risk taken in trials of hereditary eye diseases,5Maguire AM Simonelli F Pierce EA Pugh EN Jr Mingozzi F Bennicelli J et al.Safety and efficacy of gene transfer for Leber's congenital amaurosis.N Engl J Med. 2008; 358: 2240-2248Crossref PubMed Scopus (1709) Google Scholar,6Bainbridge JW Smith AJ Barker SS Robbie S Henderson R Balaggan K et al.Effect of gene therapy on visual function in Leber's congenital amaurosis.N Engl J Med. 2009; 358: 2231-2239Crossref Scopus (1608) Google Scholar heart disease, and a much-discussed trial for Parkinson's disease,7Kaplitt MG Feigin A Tang C Fitzsimons HL Mattis P Lawlor PA et al.Safety and tolerability of gene therapy with an adeno-associated virus (AAV) borne GAD gene for Parkinson's disease: an open label, phase I trial.Lancet. 2007; 369: 2097-2105Abstract Full Text Full Text PDF PubMed Scopus (837) Google Scholar and feels uneasy with patients and their advocates, in Deakin and colleagues’ words, “seeking to reclaim ownership of risk.” He agrees that “a sound preclinical evidence base is crucial,” but feels that, although patients and clinical investigators “might be willing to accept greater uncertainty and higher risk,” the “integrity and health of the broader research enterprise” may not be sufficiently protected. The constructive disagreements of Kimmelman represent a positive contribution to a call to give a much greater role in the decision-making process to patients, investigators, and physicians. Nevertheless, the central issue challenging the effectiveness and safety of clinical trials is buried in Kimmelman's assumption of a “sound preclinical evidence base” because it remains unclear how sound evidence should be defined.8Lowenstein PR Castro MG Uncertainty in the translation of preclinical experiments to clinical trials: why do most Phase III clinical trials fail.Curr Gene Ther (in press). 2007; Google Scholar A majority of large phase III clinical trials fail to reach statistical significance despite years of promising preclinical data and phase I and II trials. That many phase III clinical trials employ hundreds of patients in each arm only to find that a new anticancer drug improves the survival of patients by no more than 10 days has remained largely unchallenged.9Miksad RA Schnipper L Goldstein M Does a statistically significant survival benefit of erlotinib plus gemcitabine for advanced pancreatic cancer translate into clinical significance and value.J Clin Oncol. 2007; 25 (7; author reply): 4506-4508Crossref PubMed Scopus (74) Google Scholar,10Moore MJ Goldstein D Hamm J Figer A Hecht JR Gallinger S et al.Erlotinib plus gemcitabine compared with gemcitabine alone in patients with advanced pancreatic cancer: a phase III trial of the National Cancer Institute of Canada Clinical Trials Group.J Clin Oncol. 2007; 25: 1960-1966Crossref PubMed Scopus (3132) Google Scholar It may be that current standards of “sound preclinical evidence” are not sufficiently robust to overcome the challenge of human clinical trials. Many novel therapies are tested in a single, simple disease model, with many experimental variables kept within a narrow window. In such experimental designs, an increase of a few days’ survival may be enough to achieve statistical significance, but are such data clinically significant?9Miksad RA Schnipper L Goldstein M Does a statistically significant survival benefit of erlotinib plus gemcitabine for advanced pancreatic cancer translate into clinical significance and value.J Clin Oncol. 2007; 25 (7; author reply): 4506-4508Crossref PubMed Scopus (74) Google Scholar,10Moore MJ Goldstein D Hamm J Figer A Hecht JR Gallinger S et al.Erlotinib plus gemcitabine compared with gemcitabine alone in patients with advanced pancreatic cancer: a phase III trial of the National Cancer Institute of Canada Clinical Trials Group.J Clin Oncol. 2007; 25: 1960-1966Crossref PubMed Scopus (3132) Google Scholar,11Ziliak ST McCloskey DN The Cult of Statistical Significance How the Standard Error Costs Us Jobs, Justice, and Lives. University of Michigan Press, Ann Arbor, MI2009Google Scholar In many cases, the preclinical evidence is unlikely to be robust enough to proceed to clinical trials, even with P values below the magic 0.05 value. As I have argued in detail elsewhere, we need a practical approach to determining preclinical robustness;8Lowenstein PR Castro MG Uncertainty in the translation of preclinical experiments to clinical trials: why do most Phase III clinical trials fail.Curr Gene Ther (in press). 2007; Google Scholar,12Lowenstein PR Lowenstein ED Castro MG Challenges in the evaluation, consent, ethics, and history of early clinical trials: implications of the Tuskegee “trial” for safer and more ethical clinical trials.Curr Opin Mol Ther. 2009; 5 (Oct;11): 481-484Google Scholar i.e., under what circumstances are we convinced that our preclinical data are strong enough to successfully compete in the challenging environment of a clinical trial in human patients, where there is little control over many experimental parameters? For example, to render preclinical data more robust, any new therapy should be tested in multiple models of a particular disease, and the magnitude of any therapeutic response must be considered along with statistical significance. A drug that increases survival in a rodent by a “statistically significant” 10 days is unlikely to cure cancer in patients. Patients suffering from deadly diseases need to be offered increased life expectancy measured in years, not days or weeks. Increased treatment efficiency will not be achieved by increasing the precision by which we measure a small effect but rather through the development of more effective treatments and the capacity to predict with greater accuracy which preclinical treatments might benefit patients. This will be achieved when our preclinical treatment models are robust and the therapeutic effects truly large and therefore clinically significant. Statistical significance is necessary, but never sufficient.11Ziliak ST McCloskey DN The Cult of Statistical Significance How the Standard Error Costs Us Jobs, Justice, and Lives. University of Michigan Press, Ann Arbor, MI2009Google Scholar In gene therapy, as in all of translational medicine, the size of your effect matters.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".