Fairness in Manufacturing Cellular Therapies.
Fairness in Manufacturing Cellular Therapies.
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DOI:
10.1080/15265161.2018.1445792
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发表时间:
2018-04
期刊:
影响因子:
--
通讯作者:
Ossorio PN
中科院分区:
文献类型:
--
作者:
Das A;Saha K;Ossorio PN
Recent successes of cellular immunotherapies, specifically chimeric antigen receptor T (CAR T) cell products, have generated excitement among patients, researchers, and investors. There are now hundreds of immunotherapy clinical trials underway, and many more are planned (Hartmann etal. 2017). Unfortunately, there is not enough specialized manufacturing capacity to meet the demand for patient-specific, engineered cells for early-stage clinical trials (Levine et al. 2017). Federally funded cell manufacturing initiatives are driving improvements in manufacturing (NSF Engineering Research Center for Cell Manufacturing Technologies 2018), but immunotherapy products for trials are still scarce resources. In this issue, Jecker and colleagues (2018) identify immunotherapy production facilities (manufacturers) as important, undertheorized components of the immunotherapy clinical trials infrastructure, components with previously unappreciated bioethical significance. They outline a novel framework for allocating scarce manufacturing resources to clinical trials, using four criteria and a three-stage process for determining which immunotherapy trials would receive resources. Jecker and colleagues identify an issue that transcends immunotherapy products. For instance, viral gene therapies are similarly difficult to manufacture—their manufacturing runs sometimes produce virus sufficient to treat only one patient (US Food and Drug Administration [FDA] 2017). A framework for allocating manufacturing resources could be applicable to many types of gene and cell therapy trials.Jecker and colleagues’ four criteria for allocating manufacturing resources to trials are equal opportunity, magnitude of medical benefit, resources required, and random selection. These criteria were chosen because they can be backed by empirical data and could be fairly and transparently implemented. However, we question whether the framework as currently envisioned would produce a fair
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影响因子:
11.1
作者:
Hartmann J;Schüßler-Lenz M;Bondanza A;Buchholz CJ
通讯作者:
Buchholz CJ
影响因子:
13.4
作者:
Jecker, Nancy S.;Wightman, Aaron G.;Diekema, Douglas S.
通讯作者:
Diekema, Douglas S.
影响因子:
10.1
作者:
Maus, Marcela V.;Haas, Andrew R.;June, Carl H.
通讯作者:
June, Carl H.
DOI:
10.1016/j.omtm.2016.12.006
发表时间:
2017-03-17
期刊:
Molecular therapy. Methods & clinical development
影响因子:
--
作者:
Levine BL;Miskin J;Wonnacott K;Keir C
通讯作者:
Keir C
影响因子:
4
作者:
Barnard, Katharine D.;Dent, Louise;Cook, Andrew
通讯作者:
Cook, Andrew