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CMC Filing Data-Source Classification Matrix

A plug-and-play matrix classifying every data point cited in S.2.5, P.3.5, S.2.6, and P.2 as characterization, release, or PPQ evidence, and checking each against the scale it was generated at, so a filing never cites scaled-down or characterization-stage data toward a claim only commercial-scale release or PPQ data can support, with a filled specimen.

Document typeMatrix
Topic areaRegulatory CMC
LevelAdvanced
UpdatedSeptember 2026
How to use this document

Copy the template below into your quality system. Replace every <<FILL: ...>> placeholder with your company, system, and process specifics, then route it through your own document control, review, and approval. The filled specimen shows one worked example; adapt the numbers and scope to your operation and verify each cited regulation or standard against the current source before you rely on it.

This is a generic, originally worded starting point. It contains no confidential, proprietary, or employer material, it is drafted with AI assistance and reviewed, it is not legal or compliance advice, and adopting it does not by itself create or prove compliance. See the Disclaimer and Terms.

This is a ready-to-use classification matrix for every data point a CMC author cites in S.2.5, P.3.5, S.2.6, or P.2. It checks two things FDA’s August 2026 “Frequently Asked Questions, Developing Potential Cellular and Gene Therapy Products” guidance (docket FDA-2024-D-4311) states directly: whether a result is characterization evidence or release evidence, and whether a result generated at a scaled-down model is being cited for a claim that requires commercial-scale data. Run it before a draft S.2.5 or P.3.5 goes to QA and regulatory sign-off. Replace every <<FILL: ...>> placeholder with your own specifics. A filled specimen follows.

Document control header

FieldEntry
Document titleCMC Filing Data-Source Classification Matrix for <<FILL: product, submission type and number>>
Document number<<FILL>>
Version<<FILL>>
Review date<<FILL>>
Reviewer(s)<<FILL>>

1. Purpose

This matrix confirms that every data point cited toward a CQA identification, a comparability argument, or a PPQ conclusion in the drug substance or drug product sections of Module 3 is classified correctly by testing type (characterization or release) and by manufacturing scale (scaled-down model or commercial scale), and that each is cited only where that classification supports the claim being made.

2. Scope

Applies to <<FILL: submission type, e.g. original BLA, supplement>> for <<FILL: product>>, covering every data citation in 3.2.S.2.5, 3.2.P.3.5, 3.2.S.2.6, and 3.2.P.2, and their Quality Overall Summary counterparts.

3. Classification reference

DimensionCategoryWhat it meansWhere it may be cited
Testing typeCharacterizationGenerates information about the product; no predefined acceptance criteria; not on the certificate of analysisS.2.6, P.2, comparability and CQA-identification narrative
Testing typeReleasePredefined numerical acceptance criteria; must comply with current good manufacturing practice; appears on the certificate of analysisS.4.1 (specification), S.2.5 and P.3.5 batch disposition claims
Manufacturing scaleScaled-down modelEvaluating process variability, setting process parameters, supportive studies such as viral or impurity clearanceS.2.6, P.2, design and characterization narrative only
Manufacturing scaleCommercial scaleThe intended commercial process and equipment trainS.2.5 and P.3.5 PPQ conclusions; the master PPQ summary table

4. Data-source matrix

#Data point citedSection citing itTesting type (characterization / release)Manufacturing scale (scaled-down / commercial)Claim it supportsClassification correct for that claim?
1<<FILL: e.g. viral clearance spike study result>><<FILL: e.g. S.2.6>><<FILL>><<FILL>><<FILL: e.g. viral clearance capability>><<FILL: Yes/No>>
2<<FILL: e.g. batch 1 potency bioassay result>><<FILL: e.g. S.2.5 master summary table>><<FILL>><<FILL>><<FILL: e.g. PPQ acceptance criterion met>><<FILL>>
3<<FILL>><<FILL>><<FILL>><<FILL>><<FILL>><<FILL>>

Add one row per distinct data point cited toward a validation, comparability, or CQA-identification claim; a typical S.2.5 or P.3.5 section yields ten to twenty rows once the master PPQ summary table and the supporting characterization narrative are both walked line by line.

5. Misclassification disposition

#Row # from section 4Misclassification foundCorrection requiredOwnerStatus
<<FILL>><<FILL>><<FILL: e.g. scaled-down viral clearance data cited toward the PPQ conclusion rather than confined to S.2.6>><<FILL: e.g. move citation to S.2.6; cite only commercial-scale batch data in the S.2.5 PPQ conclusion>><<FILL>><<FILL: Open/Closed>>

6. Disposition

FieldEntry
Total data points checked<<FILL>>
Misclassifications found (blocks sign-off until resolved)<<FILL>>
RecommendationApprove as correctly classified / Hold pending resolution of item(s) <<FILL>>

7. References

FDA guidance, “Frequently Asked Questions, Developing Potential Cellular and Gene Therapy Products” (August 2026, docket FDA-2024-D-4311). See the paired article, writing CMC validation summaries for regulatory filings, for the reasoning behind this classification discipline, and the CDMO technical assessment for the same scaled-down-model restriction applied when qualifying a manufacturing partner.

Confirm the current version of the referenced guidance before issue.

8. Revision history

VersionDateAuthorSummary of change
<<FILL: 1.0>><<FILL>><<FILL>>Initial issue.

9. Approvals

RoleNameSignatureDate
Reviewer (CMC or regulatory writer)<<FILL>>
Approver (Regulatory Affairs Lead)<<FILL>>

Filled specimen

Extract for an example cell therapy BLA’s S.2.5 and S.2.6 content. Company and product are illustrative.

#Data point citedSection citing itTesting typeManufacturing scaleClaim it supportsClassification correct?
1Bench-scale bioreactor viral clearance spike study, log reduction valueS.2.6, viral safety narrativeCharacterizationScaled-downViral clearance capability of the purification stepYes, correctly confined to S.2.6 and not cited in the S.2.5 PPQ conclusion
2Batch 2 potency bioassay result, 105 percent relative activityS.2.5 master PPQ summary tableReleaseCommercialPPQ acceptance criterion met for potencyYes
3Small-scale resin lifetime study, cycles to failureOriginally cited in S.2.5 as supporting the PPQ conclusion on process consistencyCharacterizationScaled-downPPQ conclusion on process consistencyNo, scaled-down characterization data cited toward a PPQ claim; commercial-scale resin lifetime data does not yet exist for this campaign

Disposition on row 3: misclassification found. The scaled-down resin lifetime study is scientifically sound evidence for the process design narrative in S.2.6, but FDA’s August 2026 FAQ guidance is specific that PPQ conclusions need commercial-scale data. Correction: the citation moved to S.2.6’s process design discussion, and the S.2.5 PPQ conclusion was rewritten to state resin lifetime is being confirmed through the Stage 3 continued process verification program rather than asserted as already demonstrated at commercial scale.

Common findings this matrix prevents

  • A PPQ conclusion supported in part by scaled-down or bench-scale data, discovered only when a reviewer asks where the cited study was actually run.
  • A characterization result presented in a way that reads as though it were tested against a release specification, with no acceptance criterion stated because none exists for that result.
  • A comparability argument built on a mix of characterization and release data with no statement of which is which, so the reviewer cannot judge the strength of the claim.
  • A CDMO-supplied data package that was never checked for scale before the sponsor’s own narrative cited it toward a commercial-scale claim.

How to adapt this matrix

  1. Run this matrix after S.2.5, P.3.5, S.2.6, and P.2 drafts exist, not before, since classifying citations against a still-changing narrative wastes the exercise.
  2. Walk the master PPQ summary table and the characterization narrative line by line; do not rely on memory of which study supported which claim.
  3. Route every misclassification found in section 5 back to the drafting author for correction, not a rewording that keeps the same citation in the same place.
  4. Re-run this matrix if either narrative changes after this review, since a citation moved between sections can silently break its own supporting logic.
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