Blood samples and clinical trial protocol illustrating companion diagnostic development for blood-based CNS biomarker

Companion Diagnostic Development on a Blood-Based CNS Biomarker

A Phase II readout comes back flat. Someone reruns the analysis on the biomarker-defined subgroup, and the effect is there. The obvious next move is to build a companion diagnostic and enrich the Phase III population. Then a regulatory colleague asks what the assay actually measures and which tissue produced it, and the room goes quiet. In neurodegeneration that question rarely has a clean answer, which is one reason almost every approved companion diagnostic sits in oncology and none rests on a blood-based measurement of central nervous system origin.

Key takeaways

  • A companion diagnostic is a regulated device with its own marketing application, normally authorized at the same time as the drug it governs. It is not a biomarker with good data behind it.
  • The binding constraint on blood-based CNS biomarkers is provenance, not sensitivity. Assays that measure a total plasma pool cannot support a claim about brain tissue when peripheral and renal factors move the same number.
  • Most CNS programs asking for a companion diagnostic actually need a response or enrichment biomarker. The evidentiary burdens differ by roughly an order of magnitude.
  • Biomarker qualification and companion diagnostic authorization are separate regulatory acts. Achieving one does not deliver the other.
  • The assay must be locked before the pivotal trial. Programs that defer that decision pay for it in bridging studies, or lose the claim.

What does companion diagnostic development actually require?

A companion diagnostic is an in vitro diagnostic device that supplies information essential to the safe and effective use of a specific therapeutic product. Regulators expect it to be authorized contemporaneously with that product, under its own marketing application, with a locked assay, a defined context of use, and analytical validation completed before the pivotal trial reads out.

Each clause in that definition carries weight. FDA’s foundational guidance on in vitro companion diagnostic devices establishes that where a drug’s safe and effective use depends on a test, the agency will generally not authorize the drug without contemporaneously authorizing the test [1]. The co-development guidance goes further, treating the diagnostic and the therapeutic as parallel programs with separate submissions, even when a single sponsor runs both [2]. Most companion diagnostics are regulated as Class III devices and reach market through premarket approval rather than clearance, which sets the documentation burden.

In the European Union, Regulation 2017/746 defines companion diagnostics as devices essential to the safe and effective use of a corresponding medicinal product and places them in the highest risk classes, with notified body involvement and a required consultation with the relevant medicines authority [3]. A program building toward both markets is therefore managing two review processes against one locked assay.

The word that trips up CNS programs is essential. A biomarker that improves trial efficiency is not essential. A test becomes essential when the label says patients should not receive the drug, or should receive it differently, based on the result. That is a claim about a treatment decision, and it has to be defended all the way back to the measurement.

Why no blood-based companion diagnostic exists in neurodegeneration

The field’s regulatory precedents are surrogate and monitoring biomarkers, not companion diagnostics. The clearest example came from ALS. Tofersen missed its primary clinical endpoint in a randomized trial but produced a substantial reduction in plasma neurofilament light chain, and that reduction supported accelerated approval as a surrogate reasonably likely to predict clinical benefit [4]. This was a genuine advance in how a blood measurement can carry regulatory weight in neurodegeneration. It was not a companion diagnostic. Nothing in that label conditions treatment on a test result.

The distinction matters because the analytical requirements diverge. A surrogate endpoint has to move with treatment in a way the agency finds interpretable at the population level. A companion diagnostic has to classify an individual patient correctly, reproducibly, at a fixed cut-off, in whatever laboratory runs the sample. Neurofilament light chain illustrates why that second bar is harder. Blood levels correlate with serum creatinine in older adults, with reported coefficients of 0.50 and 0.56 in two independent groups, and the association survived adjustment for age, sex, and body mass index [5]. Blood volume and body mass shift the same number. A careful appraisal of the biomarker’s role in ALS therapy development described it as both a leading candidate and profoundly misunderstood, precisely because the field has applied it across contexts of use without asking which one the evidence supports [6].

Plasma NfL variability of this kind is manageable in a trial with covariate adjustment and within-patient change. It is not manageable in a labelled cut-off applied to one patient in a clinic, where the ordering physician does not know whether an elevated result reflects motor neuron loss or reduced glomerular filtration. The same logic applies to plasma p-tau specificity, where comorbid conditions shift measured concentrations enough to move patients across diagnostic thresholds [7].

Cerebrospinal fluid does not solve this. CSF biomarker limitations in late-stage trials are practical rather than analytical: two or three timepoints per patient, high screen-failure and consent-refusal rates, and site-level variance in collection technique. A lumbar puncture alternative is what most sponsors want. But swapping compartments without addressing provenance simply moves the specificity problem from an access constraint to a measurement one.

The provenance problem: which tissue produced this signal?

Consider what a reviewer has to accept for a blood-based CNS companion diagnostic claim to hold. The measured analyte must originate predominantly in the target tissue. Its concentration must respond to the pathological process the drug addresses. And the relationship must be stable enough across patients that a single threshold separates those who should receive the drug from those who should not.

Total plasma assays break the first link. Neurofilament light chain, α-synuclein, and TDP-43 all have peripheral sources. An α-synuclein plasma assay measuring the total circulating pool draws from red blood cells and platelets in quantities that dwarf any central contribution. Seed amplification assays circumvent this by measuring an aggregation property rather than abundance, and in cerebrospinal fluid they perform well — 87.7% sensitivity and 96.3% specificity across a 1,123-participant cohort [8]. That performance is compartment-dependent, and it demonstrates the general principle: specificity came from restricting the measurement, not from measuring more sensitively.

Restriction by cell of origin is the other route. Extracellular vesicles carry surface antigens inherited from their parent cell, which makes immunoaffinity capture against a cell-type-restricted surface antigen a way to define the compartment before the analyte is quantified. Peer-reviewed work using single and sequential immunoaffinity capture has demonstrated specificity, efficiency, and consistency in enriching vesicle subpopulations from nervous system cells, alveolar cells, and hepatocytes out of human plasma, characterized against canonical vesicle features and co-localization of tissue-associated and general surface markers [9]. That publication is deliberately careful about what enrichment means: it recovers antigen-positive populations most plausibly derived from the intended tissue, not every vesicle a tissue releases, and it states that conclusive assignment would require additional orthogonal evidence [9]. For regulatory purposes that honesty is an asset. A reviewer can evaluate a bounded claim. A reviewer cannot evaluate a claim that overreaches its data.

The clinical relevance of compartment choice is visible in the TDP-43 literature. In a cohort of 704 patients including 37 genetically and 31 neuropathologically confirmed cases, vesicle-associated TDP-43 levels and vesicle tau isoform ratios separated ALS, progressive supranuclear palsy, and behavioural variant frontotemporal dementia by underlying molecular pathology, with cut-off values that transferred across sub-cohorts [10]. That is a TDP-43 blood test performing a task total plasma measurement has not accomplished. It is also the kind of dataset a companion diagnostic argument can be built on, because the measurement is defined by where it came from.

Choosing the right biomarker claim before you spend the money

A large share of programs that ask for a companion diagnostic need something else. The FDA-NIH BEST resource separates biomarker categories by intended use — diagnostic, prognostic, predictive, monitoring, response, susceptibility, safety — and the separation is not academic [11]. A predictive biomarker that determines eligibility is the only category that leads toward a companion diagnostic. A response biomarker demonstrating CNS target engagement blood-side, or supporting pharmacodynamic monitoring in a neurodegeneration trial, sits in a different regulatory lane entirely and can be pursued at a fraction of the cost.

The two lanes are also formally independent. FDA’s evidentiary framework for biomarker qualification states plainly that qualification of a biomarker does not connote approval or clearance of a companion or complementary diagnostic device, and does not qualify the biomarker for clinical practice; conversely, device authorization does not qualify a biomarker for use in drug development [12]. Programs frequently assume one delivers the other. Neither does. Work on formally qualifying neurofilament light chain for defined contexts of use in ALS has been explicit that the goal is drug-development utility, distinct from any diagnostic device claim [13].

Figure 1. Evidentiary burden by claim type

Claim typeWhat it governsAssay lock requiredSeparate marketing application
Companion diagnosticWhether an individual patient receives the drugYes, before the pivotal trialYes
Complementary diagnosticBenefit-risk information; not a gate on treatmentYesYes
Enrichment biomarker (trial use)Who enters the study populationPractically yes, if it informs the labelOnly if carried to label
Response / pharmacodynamic biomarkerWhether the drug engaged its targetNo, but fit-for-purpose validation requiredNo

Figure 2. Summary of claim types and their associated regulatory obligations, compiled from references [1], [2], [11], and [12]. Categories as defined in the BEST resource; obligations as described in FDA companion diagnostic guidance.

Two questions settle which lane a program belongs in. First: does the label need to restrict who gets the drug? If the therapeutic is safe and effective in the broad indication and the biomarker only improves the effect size, a companion diagnostic is the wrong instrument. Second: is there a plausible mechanism by which patients above and below the cut-off respond differently? If the biomarker tracks disease severity rather than the drug’s mechanism, it will predict prognosis in both arms and will not survive a predictive-claim analysis.

Sequencing the work across trial phases

The failure mode is almost always temporal. Programs treat the diagnostic as something to be built once the drug has proven itself, at which point the assay used to generate the enrichment hypothesis cannot be validated as a device, and the samples that would support a bridging study were collected under protocols that did not anticipate one.

Three specific things go wrong often enough to name. Pre-analytical variability introduced at collection is the first. For vesicle-based measurements this is not a minor consideration: tube type, time to centrifugation, spin protocol, and freeze-thaw history all alter what is recoverable, and community reporting standards now treat these parameters as part of the method rather than as site-level detail [14]. A multi-site trial that fixes its collection protocol in Phase III has already generated two phases of data it cannot pool.

Second, platform or reagent changes after the exploratory phase. A multiplex EV immunoassay that reads several analytes from one sample is attractive for discovery precisely because it is flexible, but flexibility is the enemy of a locked device. The panel composition and the antibody lots become part of the regulated article.

Third, cut-off derivation on the wrong population. A threshold derived from a case-control cohort of clinically diagnosed patients will not hold in a screening population with the prevalence and comorbidity profile of an actual trial. Patient stratification failure at this step is common and expensive, and it usually surfaces as unexpectedly high screen-failure rates rather than as an analytical problem.

Before Phase II: a readiness checklist

  • Analyte and compartment named together. “TDP-43” is not a measurand. “TDP-43 in a defined cell-type-enriched vesicle population from EDTA plasma” is.
  • Pre-analytical protocol fixed and site-audited. Written before first patient in, applied identically across sites, with deviations logged rather than corrected after the fact.
  • Claim type decided in writing. With the regulatory function’s sign-off, and with the alternative claims explicitly ruled out.
  • Mechanistic rationale for a differential response. Not just a correlation between biomarker and outcome.
  • Banked sample strategy sufficient for a bridging study. Volume, aliquoting, and consent language that permit later device-assay testing.
  • Reference material and control strategy identified. Including how lot-to-lot comparability will be demonstrated over a multi-year program.

None of this is unique to central nervous system indications. What is unique is that CNS programs have historically had no compartment in which a defensible provenance claim could be made from a blood draw, so the sequencing discipline was never forced on them. That has changed. Once tissue of origin can be specified as part of the measurand, the ordinary rules of companion diagnostic co-development become applicable rather than aspirational, and the work becomes a scheduling problem rather than a scientific impasse.

The next regulatory step for the field is probably not a companion diagnostic at all. It is qualification of cell-type-specific vesicle measurands for defined contexts of use, so that individual sponsors stop rebuilding the same analytical case from scratch. Qualification is a public good in a way device authorization is not: once a measurand is qualified for a context of use, any program can rely on it [12]. Neurodegeneration has spent a decade arguing about assay sensitivity. The more useful decade ahead will be spent agreeing on what the numbers refer to.

References

  1. U.S. Food and Drug Administration. In Vitro Companion Diagnostic Devices: Guidance for Industry and Food and Drug Administration Staff. August 2014. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/in-vitro-companion-diagnostic-devices
  2. U.S. Food and Drug Administration. Principles for Codevelopment of an In Vitro Companion Diagnostic Device with a Therapeutic Product: Draft Guidance for Industry and Food and Drug Administration Staff. July 2016. Docket FDA-2016-D-1703. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/principles-codevelopment-vitro-companion-diagnostic-device-therapeutic-product
  3. Regulation (EU) 2017/746 of the European Parliament and of the Council of 5 April 2017 on in vitro diagnostic medical devices. Official Journal of the European Union. 2017;L117:176-332. https://data.europa.eu/eli/reg/2017/746/oj
  4. Miller TM, Cudkowicz ME, Genge A, et al. Trial of antisense oligonucleotide tofersen for SOD1 ALS. N Engl J Med. 2022;387(12):1099-1110. https://doi.org/10.1056/NEJMoa2204705
  5. Akamine S, Marutani N, Kanayama D, et al. Renal function is associated with blood neurofilament light chain level in older adults. Sci Rep. 2020;10(1):20350. https://doi.org/10.1038/s41598-020-76990-7
  6. Benatar M, Wuu J, Turner MR. Neurofilament light chain in drug development for amyotrophic lateral sclerosis: a critical appraisal. Brain. 2023;146(7):2711-2716. https://doi.org/10.1093/brain/awac394
  7. Schindler SE, Karikari TK. Comorbidities confound Alzheimer’s blood tests. Nat Med. 2022;28(7):1349-1351. https://doi.org/10.1038/s41591-022-01875-3
  8. Siderowf A, Concha-Marambio L, Lafontant DE, et al. Assessment of heterogeneity among participants in the Parkinson’s Progression Markers Initiative cohort using alpha-synuclein seed amplification: a cross-sectional study. Lancet Neurol. 2023;22(5):407-417. https://doi.org/10.1016/S1474-4422(23)00109-6
  9. Pierri B, Jackson GL, Gololobova O, et al. Immunoaffinity-based protocol to enrich nervous system cell-, lung alveolar cell-, and hepatocyte-derived extracellular vesicles from human plasma. J Extracell Biol. 2026;5:e70171. https://doi.org/10.1002/jex2.70171
  10. Chatterjee M, Ozdemir S, Fritz C, et al. Plasma extracellular vesicle tau and TDP-43 as diagnostic biomarkers in FTD and ALS. Nat Med. 2024;30(6):1771-1783. https://doi.org/10.1038/s41591-024-02937-4
  11. FDA-NIH Biomarker Working Group. BEST (Biomarkers, EndpointS, and other Tools) Resource. Silver Spring, MD: Food and Drug Administration; Bethesda, MD: National Institutes of Health; 2016. https://www.ncbi.nlm.nih.gov/books/NBK326791/
  12. U.S. Food and Drug Administration. Biomarker Qualification: Evidentiary Framework. Draft Guidance for Industry and FDA Staff. December 2018. Docket FDA-2018-D-4267. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/biomarker-qualification-evidentiary-framework
  13. Benatar M, et al. Biomarker qualification for neurofilament light chain in amyotrophic lateral sclerosis: theory and practice. Ann Neurol. 2024;95(2):211-216. https://doi.org/10.1002/ana.26860
  14. Welsh JA, Goberdhan DCI, O’Driscoll L, et al. Minimal information for studies of extracellular vesicles (MISEV2023): from basic to advanced approaches. J Extracell Vesicles. 2024;13(2):e12404. https://doi.org/10.1002/jev2.12404

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