AI Article Synopsis

  • * Currently, only a few ADCs are approved based on specific target antigens, while others can be used without such markers, highlighting the need for new biomarkers to optimize ADC therapies.
  • * The study emphasizes the importance of identifying and evaluating target antigens to predict the effectiveness of ADCs, suggesting advanced methods for assessing target expression could enhance patient selection and treatment outcomes.

Article Abstract

Antibody-drug conjugates (ADCs) represent a cornerstone in the treatment of many cancers nowadays. ADCs fulfill their function by binding a target on tumor cell membrane to deliver a cytotoxic payload; in addition, those moieties capable of crossing cancer cell membranes can achieve near-by cells that do not express the target antigen, exerting the so-called "bystander" cytotoxic effect. The presence of a specific target antigen expressed on cancer cells has been for long considered crucial for ADCs and commonly required for the inclusion of patients in clinical trials with ADCs. To date, only ado-trastuzumab-emtansine, fam-trastuzumab deruxtecan-nxki, and mirvetuximab soravtansine-gynx are approved according to the expression of a target antigen in solid tumors, while the clinical use of other ADCs (eg, sacituzumab govitecan) is not conditioned by the presence of a specific biomarker. Given the ever-growing number of approved ADCs and those under investigation, it is essential to find new biomarkers to guide their use, especially in those settings for which different ADCs are approved to establish the best therapeutic sequence based on robust biomarkers. Hence, this work addresses the role of target antigens in predicting response to ADCs, focusing on examples of antigens' targetability according to their expression on cancer cells' surface or to the presence of specific target aberrations (eg, mutation or over-expression). New methods for the assessment and quantification of targets' expression, like molecular imaging and in vitro assays, might be key tools to improve biomarker analysis and eventually deliver better outcomes by refined patient selection.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628585PMC
http://dx.doi.org/10.1093/oncolo/oyad246DOI Listing

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