Evidence map›Paper›PMID 42563500›Full record

ReviewClinical pharmacology and therapeutics2026

Operationalizing Precision Medicine in Drug Development: Predictive Biomarkers, Companion Diagnostics, and Regulatory Pathways.

Ingrid Holst-Laubjerg, José M A Moreira

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ingrid Holst-LaubjergDepartment of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0009-0007-8145-0546
José M A MoreiraDepartment of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-9944-1214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine offers the opportunity to improve the benefit-risk profile of new therapies by prospectively identifying patients most likely to respond or least likely to experience harm; however, its systematic integration into drug development remains inconsistent outside oncology. Key barriers include timely generation of robust predictive biomarker hypotheses (i.e., hypotheses regarding treatment-by-biomarker interactions), appropriate validation strategies, and coordinated development of companion diagnostics within increasingly complex FDA, European Medicines Agency, and In Vitro Diagnostic Regulation regulatory frameworks. This review presents a pragmatic operational framework to guide the incorporation of precision medicine into drug development across therapeutic areas. We outline structured approaches for early biomarker hypothesis generation and prephase II evidence development; define five clinical development scenarios based on the strength of the biomarker signal-front-loaded enrichment, precision-medicine-enabled phase II, adaptive phase II, adaptive phase III, and back-loaded confirmatory enrichment; and summarize regulatory and lifecycle considerations for companion diagnostics. Examples from oncology and emerging applications in cardiovascular and metabolic diseases illustrate evolving regulatory expectations and common industry challenges. We also discuss opportunities to extend precision medicine beyond predictive biomarkers to diagnostic, prognostic, and safety biomarkers, as well as digitally derived signatures. Treating precision medicine as a core component of drug development-rather than an optional enhancement-can improve clinical trial efficiency, support commercial viability, and ensure that patients derive meaningful clinical benefit. Early, structured biomarker planning; integrated clinical-diagnostic strategies; and iterative collaboration among sponsors, regulators, HTA bodies, payers, and patients are critical for translating biomarker insights into de-risked pivotal trials and aligned regulatory and market-access decisions.

Indexed as

Drug DevelopmentPrecision MedicineBiomarkersHumansPredictive Value of TestsUnited StatesUnited States Food and Drug AdministrationBiomarkers

Identifiers

PMID42563500
PMCPMC13448165

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.