The target atlas for antibody-drug conjugates across solid cancers.

Abstract

Antibody-Drug Conjugates (ADCs) represent a rapidly advancing category of oncology therapeutics, spanning the targeted therapy for both hematologic malignancies and solid cancers. A crucial aspect of ADC research involves the identification of optimal surface antigens that can effectively differentiate target cells from most mammalian cell types. Herein, we have devised an algorithm and compiled an extensive dataset annotating cell membrane proteins. This dataset is derived from comprehensive transcriptomic, proteomic, and genomic data encompassing 19 types of solid cancer as well as normal tissues. The aim is to uncover potential therapeutic surface antigens for precise ADC targeting. The resulting target landscape comprises 165 combinations of targets and indications, along with 75 candidates of cell surface proteins. Notably, 35 of these candidates possess characteristics suitable for ADC targeting, and have not been previously reported in ADC research and development. Additionally, we have identified a total of 159 ADCs from a pool of 760 clinical trials. Of these, 72 ADCs are presently undergoing interventional evaluation for a variety of solid cancer types, targeting 36 unique antigens. We conducted an analysis of their expression in normal tissues using this comprehensive annotation dataset, revealing a diverse range of profiles for the current ADC targets. Moreover, we emphasize that the biological impacts of target antigens have the potential to enhance their clinical effectiveness. We propose a comprehensive assessment of the drugability of target antigens, considering multiple facets. This study represents a thorough exploration of pan-cancer ADC targets over the past two decades, underscoring the potential of a comprehensive solid cancer target atlas to broaden the scope of ADC therapies.