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. Author manuscript; available in PMC: 2017 Jul 12.
Published in final edited form as: Regen Med. 2016 Jul 12;11(5):483–492. doi: 10.2217/rme-2016-0053

Table 1.

Lessons for developers.

Number Lesson
1 Talk to the regulators in your jurisdiction about proposed changes as early as possible
2 Be clinically specific and have a well-defined product and process understanding
3 Understand variation; understand allowable operating limits; control variation
4 Developers should focus on the key steps of: (1) process transfer; (2) product and process comparability
5 Measure the right process parameters and intermediates as well as the final product to establish a baseline: product and process knowledge will require measurements over and above product release criteria
6 Use a risk-assessment approach to define the experimental program necessary for comparability and start as early as you can; use the analysis as a mechanism to direct resource
7 Key stage gates and value inflection points are pivotal preclinical work, and pivotal clinical trials – key studies need to be done before these
8 Recall that in the EU Phase III clinical trials are intended to verify putative modes of action
9 Use historical analytical and process data to help set limits
10 Be careful with the definitions of active substance, strength and product and process impurities
11 Characterize as much as you can as early as you can, characterization will be product specific. Do not confuse identity with potency; question the value of your biomarkers
12 Understand your assay and equipment; use appropriate and sustainable equipment and technology to future proof in case you need to reproduce the technique beyond the lifetime of more bespoke instruments
13 All assays used should be validated for the intended use. For licensed products this means conformance to International Council for Harmonisation Q2(R1) [19]. Different assays would normally be used for identity, purity and potency testing.
14 Use assays that are able to detect the change you aim to execute
15 You may have to run processes ‘side by side’ (rather than comparing the changed process to retained samples)
16 Academic developers require regulatory support in manufacturing scale-up