
Neil Conlon
Life Sciences Institute, Dublin City University, Dublin, Ireland.
Dr. Neil Conlon is a research fellow at Dublin City University and leads the Breast and Gynecological Oncology Targeted Therapies research group. The group aims to discover innovative therapies for breast and gynecological cancers through a comprehensive preclinical approach. It also explores repurposing drugs approved for other diseases to treat cancers with poor prognosis. Dr. Conlon's key technical skills include adherent and 3D cancer modeling, kinetic fluorescent microscopy, and in vivo xenograft drug assessment.

Dr. Amira Mahdi
School of Medicine at the University of Limerick, Ireland
Dr Amira Mahdi BSc. PhD. is an Assistant Professor in Biomedical Sciences at the School of Medicine at the University of Limerick, Ireland. Dr Mahdi is a member of the Limerick Digital Cancer Research Group and specialises in the role of the tumour microenvironment in cancer therapeutic response and resistance. Her current research interests include the microenvironmental regulation of resistance in breast cancer and investigating the interactions between cancer treatment and the blood brain barrier for the treatment of brain metastasis. Key technical skills include 3-dimensional modelling, co-cultures and physiological barrier modelling.
Antibody-based cancer therapies have become a cornerstone of modern oncology, offering targeted and highly specific treatment options. These therapies, including monoclonal antibodies, bispecific antibodies, antibody-drug conjugates, and immune checkpoint inhibitors, target tumor antigens or modulate immune responses. Their efficacy in controlling and eliminating various cancer types is remarkable; however, optimizing these treatments necessitates robust, reproducible, and innovative methodologies.
This Methods Collection aims to provide a comprehensive overview of in vitro, ex vivo, and in vivo approaches for assessing anti-cancer antibody-based therapeutics. In vitro techniques may include binding affinity assays, antibody-dependent cellular cytotoxicity (ADCC) studies, and mechanistic investigations using tumour and immune cell lines. Ex vivo methods may explore patient-derived organoids, tumor explants, and co-culture systems for personalized drug response analysis. In vivo models, including genetically engineered mice, humanized mice, and xenografts, will support preclinical evaluations of drug pharmacokinetics, safety, and anti-tumor effects.
The Collection encourages, but is not limited to, submissions addressing challenges in evaluating therapeutic performance within the tumor microenvironment, reducing off-target effects, and testing the efficacy of combination therapies.