Antibody-drug conjugates

Antibody-drug conjugates (antibody drug conjugates, ADCs) are a leading class of targeted cancer therapeutics that couple a tumour-associated antigen-specific antibody to a toxic payload, enabling selective delivery of cytotoxic therapy. They have advanced rapidly in oncology, with over 430 ADCs reaching early-to-late clinical studies over the past two decades and 14 FDA-approved agents for clinical cancer use. Mechanistically, ADC performance depends on antigen targeting, internalization, payload release, and resistance biology, and recent work highlights how the tumor microenvironment can constrain delivery and activity. Clinically, ADCs are being applied across breast cancer, relapsed/refractory multiple myeloma, non-small cell lung cancer, bladder cancer, and several oncofusion-driven sarcomas and lymphomas. Current development includes next-generation constructs targeting b7 h3, cmet, gd2, gpc2, il1rap, trop 2, and trophoblast cell surface antigen 2, with AI/ML approaches such as xgboost used to prioritize favorable half-life profiles in mice. Recent literature also emphasizes resistance mechanisms in breast cancer and emerging activity in EGFR-mutant NSCLC after third-generation EGFR TKI resistance.

Cancer

Hematologic malignancy

Drug design, resistance, and optimization

  • A state-of-the-art review summarizes ADC design and mechanism of action, emphasizing antibody specificity plus toxic payload delivery as the core therapeutic principle. (PMID:41855081)
  • Resistance in breast cancer is a major focus, with biological mechanisms and analytical frameworks proposed to overcome ADC failure. (PMID:41874465)
  • Tumor microenvironmental factors are recognized as constraints on ADC delivery and activity, contributing to resistance. (PMID:41874465)
  • A multi-modal machine learning framework using xgboost prioritized ADCs with favorable half-life in C57BL/6 mice. (PMID:41996252)