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The Analytical Scientist / Issues / 2026 / June / Precision Diagnostics and the ADC Revolution
Clinical Data and AI Pharma and Biopharma

Precision Diagnostics and the ADC Revolution

Antibody-drug conjugates are transforming cancer care, but their success depends on more precise, sensitive, and data-driven diagnostics

06/10/2026 13 min read
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Clinical Scorecard: Precision Diagnostics and the ADC Revolution

At a Glance

CategoryDetail
ConditionAntibody-drug conjugates (ADCs) in oncology
Key MechanismsTargeting protein biomarkers on tumor cells, enabling efficacy at low expression levels
Target PopulationPatients with various tumor types including lung, breast, and bladder cancers
Care SettingClinical laboratories utilizing advanced diagnostic techniques

Key Highlights

  • ADCs are rapidly expanding across multiple tumor types with hundreds of clinical trials underway.
  • Recent regulatory approvals have catalyzed ADC development, including HER2-targeting agents.
  • Improved linker technology enhances targeting precision and local drug delivery.
  • Accurate biomarker assessment is critical for patient access to ADC therapies.
  • Computational pathology offers advanced capabilities for evaluating ADC targets.

Guideline-Based Recommendations

Diagnosis

  • Utilize IHC as the preferred method for assessing ADC biomarkers.

Management

  • Consider ADCs for patients with low levels of target protein expression.

Monitoring & Follow-up

  • Employ computational pathology to improve sensitivity and specificity in biomarker assessment.

Risks

  • Traditional IHC may overlook patients with low biomarker expression.

Patient & Prescribing Data

Patients with low expression of target proteins in tumors

ADCs can be effective even with low biomarker levels, necessitating precise detection methods.

Clinical Best Practices

  • Invest in automating IHC workflows for reproducible protein expression assessment.
  • Adopt computational pathology tools to enhance diagnostic accuracy.

Related Resources & Content

  • Rob Monroe Interview
  • Oncology Companion Diagnostics Market Forecast
  • FDA Breakthrough Device Designation for QCS

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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References

  1. A Matthius and E Quinn, “Experts forecast cancer research and treatment advances in 2025” (2025). Available at: https://www.aacr.org/blog/2025/01/10/experts-forecast-cancer-research-and-treatment-advances-in-2025/
  2. Grand View Research, “Oncology companion diagnostic market size report 2030.” Available at: https://www.grandviewresearch.com/industry-analysis/oncology-companion-diagnostics-market 
  3. M Katoh et al., “Antibody-drug conjugates targeting the cadherin, claudin and nectin families of adhesion molecules,” Front Mol Med, 5, 1661016 (2025). DOI: 10.3389/fmmed.2025.1661016. 
  4. B Nolting, “Linker technologies for antibody-drug conjugates,” Methods Mol Biol, 1045, 71-100 (2013). DOI: 10.1007/978-1-62703-541-5_5.
  5. J He et al., “Antibody-drug conjugates in cancer therapy: mechanisms and clinical studies,” MedComm, 5, 8, e671 (2020). DOI: 10.1002/mco2.671. PMID: 39070179.
  6. B Chen et al, “Antibody-drug conjugates in cancer therapy: current landscape, challenges, and future directions,” Mol Cancer, 24, 1, 279 (2025). DOI: 10.1186/s12943-025-02489-2. 
  7. L Incorvaia et al., “Programmed Death Ligand 1 (PD-L1) as a Predictive Biomarker for Pembrolizumab Therapy in Patients with Advanced Non-Small-Cell Lung Cancer (NSCLC), Adv Ther, 36, 10, 2600-2617 (2019). DOI: 10.1007/s12325-019-01057-7.
  8. AstraZeneca, “ Novel computational pathology-based TROP2 biomarker for datopotamab deruxtecan was predictive of clinical outcomes in patients with non-small cell lung cancer in TROPION-Lung01 Phase III trial” (2024). Available at: https://www.astrazeneca.com/media-centre/press-releases/2024/novel-computational-pathology-based-trop2-biomarker-for-dato-dxd-was-predictive-of-clinical-outcomes-in-patients-with-nsclc-in-tropion-lung01-phase-iii-trial.html

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