How to Set Up a Laboratory for Clinical Trial Sample Analysis
Build a laboratory to the standard that actually governs trial samples.
What a how-to is not
A how-to is SPEQ’s practitioner method, not a procedure. It does not replace your own SOP, it is not a validated approach, and the judgement calls in it belong to your quality unit.
Good clinical laboratory practice exists because of a gap. Good laboratory practice governs nonclinical safety studies and does not fit sample analysis; the diagnostic laboratory standards govern testing performed for the care of an individual patient and do not fit it either. A laboratory analysing samples from a clinical trial is doing neither of those things, and setting it up under the wrong standard produces a well-run laboratory that cannot support the trial.
- 1
Establish which standard governs before designing the system
Samples analysed to generate trial data sit under clinical laboratory expectations for trials. If the same laboratory also reports results back for patient management, that activity sits under the diagnostic regime, and the two obligations run in parallel rather than one absorbing the other.
- 2
Build the quality system around the trial, not the specimen
The laboratory is generating data for a study protocol with a sponsor, a monitor and an inspection exposure. Protocol-specified methods, blinding requirements and the sponsor’s reporting timelines are quality-system inputs, not customer preferences.
- 3
Define validated methods and the acceptance criteria for a run
Every method producing trial data is validated for its intended use, with criteria fixed in advance for accepting or rejecting a run. Criteria settled after a result is seen convert an unwelcome value into an analytical failure, which is the defect this rule exists to prevent.
- 4
Qualify staff for the specific methods they perform
Competence is per method, evidenced, and reassessed. A general qualification record does not show that the analyst who ran a particular assay on a particular day was competent to, which is the question that gets asked.
- 5
Control the equipment and the environment that results depend on
Calibration, maintenance, monitored storage temperature and documented alarm response. A freezer excursion with no impact assessment on the samples inside is a finding about the samples, not about the freezer.
- 6
Make the data path traceable end to end
From receipt through analysis to the result transmitted to the sponsor, every step attributable, contemporaneous and auditable. Trial data crosses organisational boundaries, so a break in the chain in the laboratory becomes a gap in the trial database that nobody downstream can repair.
- !The nonclinical good laboratory practice standard applied to trial sample analysis because both concern laboratories.
- !A diagnostic accreditation treated as sufficient for trial work, which it does not cover.
- !Run acceptance criteria settled after results are seen rather than fixed in advance.
- !Competence evidenced generally rather than per method, so no record supports a specific analyst on a specific assay.
How to Set Up a Laboratory for Clinical Trial Sample Analysis: frequently asked questions
Common questions on set up a laboratory for clinical trial sample analysis.
Why not just apply good laboratory practice?
Because it governs nonclinical safety studies and is built around a study director, a study plan and a nonclinical study archive. A laboratory analysing trial samples is a service to someone else’s protocol, not the conductor of the study. The structures do not map, and forcing them produces documentation that answers questions nobody asked.
Is diagnostic accreditation enough?
No. The diagnostic laboratory standards govern testing performed for the care of an individual patient. Trial sample analysis generates research data against a protocol, with blinding, sponsor reporting and inspection exposure that the diagnostic regime does not address. A laboratory doing both carries both sets of obligations.
What if the same laboratory does both?
Then both apply to their respective activities, and the laboratory has to be able to show which samples were handled under which regime. That distinction is a design decision made when the laboratory is set up, not a reconstruction attempted when someone asks.