The specificity trap in routine tumor biomarker interpretation: Advancing the 3PM-based clinical decision framework to benefits of patients
Routine tumor biomarkers remain among the most accessible tools in oncology. Yet, their clinical value is frequently weakened by a persistent specificity trap: abnormal results are often treated as cancer-specific signals, whereas normal results are sometimes used to reassure against malignancy. This critical narrative review develops a predictive, preventive, and personalized medicine (3PM)-guided clinical decision framework for interpreting routinely used tumor biomarkers. Evidence was mapped across six domains: validated indication, tumor type and disease phase, baseline marker status, longitudinal trajectory, false-positive and false-negative vulnerability, and analytical or pre-analytical limitations.The review covers classical circulating epithelial markers, organ-associated markers, neuroendocrine and neural-lineage markers, nonspecific markers of burden or proliferation, tissue-based therapeutic targets, immune-context biomarkers, and less standardized markers with nomenclature-sensitive interpretation. Across these groups, the central synthesis is that clinical usefulness rarely derives from an isolated threshold. It emerges when marker dynamics are interpreted in relation to pre-test probability, comorbidities, renal and liver function, inflammation, medication effects, assay platform, imaging, pathology, symptoms, and actionability. The proposed 3PM-guided workflow shifts routine biomarker use from reactive testing and diagnostic escalation toward context-corrected interpretation, prevention of low-value investigations, and personalized follow-up or treatment reassessment. Routine tumor biomarkers should therefore be reported and interpreted as conditional, trajectory-dependent clinical signals, not as stand-alone evidence for or against cancers.Finally, in primary care for protecting individuals against health-to-disease transition as well as for individualized rehabilitation programs in secondary care, a 3PM-guided holistic approach is strongly recommended utilizing multi-level diagnostics. This approach is based on comprehensive individualized patient profiles including phenotyping and biomarker panels essentially reflecting systemic effects. To this end, a non-invasive tear fluid test utilizing mitochondria as vital biosensors and AI-based multi-professional data interpretation has been established, followed by the cost-effective targeted disease prevention and individualized rehabilitation programs in primary and secondary care respectively. Graphical Abstract
Authors
- Peter Kubatka (ORCID: https://orcid.org/0000-0003-4312-5076)
- Olga Golubnitschaja (ORCID: https://orcid.org/0000-0001-5427-2018)
- Dietrich Büsselberg (ORCID: https://orcid.org/0000-0001-5196-3366)
- Iva Slaninová (ORCID: https://orcid.org/0000-0001-8906-0891)
- Tomáš Kazda (ORCID: https://orcid.org/0000-0001-7288-8975)
- Karel Šmejkal (ORCID: https://orcid.org/0000-0002-4336-7924)
- Ludmila Filkova
Institutions
- University of Bonn (DE)
- Masaryk University (CZ)
- University Hospital Bonn (DE)
- Masaryk Memorial Cancer Institute (CZ)
- Weill Cornell Medical College in Qatar (QA)
- Predictive Science (United States) (US)
Publication Details
- Journal
- The EPMA Journal
- Published
- 2026-08-27
- DOI
- https://doi.org/10.1007/s13167-026-00466-3
- Primary Topic
- Cancer Cells and Metastasis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Rheinische Friedrich-Wilhelms-Universität Bonn