PHARMACOLOGY · DRUG DEVELOPMENT

Biomarker

also: predictive biomarker, prognostic biomarker, PD biomarker, surrogate endpoint

A defined characteristic measured as an indicator of normal biological processes, pathogenic processes, or pharmacological responses to an intervention. Biomarkers bridge a drug's mechanism of action to measurable signals used in drug development, clinical trials, and patient care.

Classification
FDA-NIH BEST Glossary (2016)
Predictive example
KRAS WT → cetuximab benefit
Prognostic example
Ki-67 in breast cancer
PD example
BCR-ABL inhibition (imatinib)

Biomarker types (FDA-NIH BEST classification)

Type Definition Clinical example
Diagnostic Identifies or confirms disease HbA1c ≥6.5% for diabetes diagnosis; troponin for AMI
Monitoring Tracks disease course or therapy response over time PSA after prostatectomy; HIV viral load on ART
Pharmacodynamic / Response Shows biological effect of a drug at its target BCR-ABL inhibition by imatinib; tumour ORR
Predictive Identifies patients likely to respond to a specific treatment KRAS WT (cetuximab), HER2 (trastuzumab), BRCA (olaparib)
Prognostic Indicates likely outcome regardless of treatment Ki-67, Oncotype DX score, TP53 mutation in CLL
Safety Signals adverse drug effects ALT/AST for DILI; creatinine for nephrotoxicity
Susceptibility / Risk Indicates increased likelihood of developing disease BRCA1/2 for breast cancer risk; APOE4 for Alzheimer risk

Frequently asked questions

What is a biomarker in drug development?
A biomarker is a defined characteristic measured as an indicator of normal or pathological biology, or response to intervention. FDA-NIH BEST Glossary (2016) categories: (1) Diagnostic — identifies or confirms a condition (HbA1c for diabetes); (2) Monitoring — tracks disease progression or treatment response over time (PSA post-prostatectomy); (3) Pharmacodynamic/Response — shows biological effect of a drug at the target (BCR-ABL inhibition by imatinib); (4) Predictive — identifies patients likely to respond to a treatment; (5) Prognostic — indicates likely clinical course regardless of treatment; (6) Safety — signals adverse effects (ALT for hepatotoxicity); (7) Susceptibility/Risk — indicates increased likelihood of disease. See pharmacogenomics guide for genetic biomarkers.
What is the difference between a predictive and a prognostic biomarker?
Predictive biomarker: identifies patients likely to respond to a specific treatment. Examples: KRAS WT → respond to anti-EGFR (cetuximab, panitumumab) in CRC; HER2 overexpression → trastuzumab benefit in breast/gastric cancer; BRCA1/2 mutation → PARP inhibitor (olaparib) benefit; PD-L1 TPS ≥50% → first-line pembrolizumab benefit in NSCLC. Prognostic biomarker: indicates likely outcome regardless of treatment. Examples: Ki-67 in breast cancer (high = worse prognosis regardless of chemotherapy), TP53 mutation in CLL (poor prognosis), Oncotype DX score (25-gene recurrence score — both prognostic and predictive in some contexts). Many biomarkers have both predictive and prognostic roles — distinction requires randomised trial data with a biomarker-negative control arm. See clinical trial guide.
What is a pharmacodynamic biomarker?
A PD biomarker demonstrates on-target biological activity of a drug. Used in Phase I/II to identify the biologically active dose and confirm mechanism. Examples: BCR-ABL inhibition (imatinib): residual kinase activity in CML cells inversely correlates with disease response; PSA decline rate: PD biomarker of AR pathway inhibition (enzalutamide/abiraterone) in prostate cancer; Tumour mutational burden (TMB): PD/predictive biomarker for checkpoint inhibitor response; ctDNA clearance: PD biomarker for early response to targeted therapies; HbA1c change from baseline: PD biomarker of antidiabetic drug efficacy. Contrast with: therapeutic index (safety/efficacy ratio in a population), surrogate endpoint (PD biomarker used as a substitute for clinical endpoint in regulatory approval). See clinical trial guide for surrogate endpoint validation requirements.
What is a surrogate endpoint and how does it differ from a biomarker?
A surrogate endpoint is a biomarker validated as a substitute for a clinical outcome in a regulatory trial. FDA accelerated approval pathway uses "reasonably likely to predict" clinical benefit — stronger than a plain biomarker, weaker than full surrogate validation. Validated surrogates: LDL-C (→ CV events per statin trials), HIV RNA viral load (→ AIDS/mortality), CD4 count (HIV), HbA1c (→ diabetic complications per DCCT/UKPDS). Accelerated approval examples: tumour ORR (objective response rate) as surrogate for OS in oncology — requires post-market confirmatory trials. Surrogate failure: flecainide reduced PVCs (VT suppression as surrogate) but increased mortality in CAST trial. Biomarker qualification: FDA Biomarker Qualification Program formalises the evidentiary standard. See clinical trial guide for NNT interpretation and surrogate endpoint limitations.
What is the FDA Biomarker Qualification Programme?
FDA Biomarker Qualification Programme (BQP): formalises a biomarker's acceptability for a defined context of use (COU) in all drug development programs — a public good, not sponsor-specific. Three qualification stages: (1) Initiation — FDA accepts the COU for review; (2) Consultation and advice — FDA reviews evidence package; (3) Full qualification — published qualification decision. Qualified biomarkers: total kidney volume (TKV) by MRI for ADPKD progression enrichment; alanine aminotransferase (ALT) for drug-induced liver injury (safety biomarker — already standard but formally qualified). FDA BQP ↗. CDISC and BEST glossary standardise biomarker terminology. Related: drug-receptor theory, clinical trial guide.