Application of LDH assay for therapeutic efficacy evaluation of ex vivo tumor models

Megan Cox(AbbVie (United States)), Rita Mendes(Instituto de Biologia Experimental e Tecnológica), Fernanda Silva(Universidade Nova de Lisboa), Teresa F. Mendes(Instituto de Biologia Experimental e Tecnológica), Adelyn L. Zelaya-Lazo(AbbVie (United States)), Kathleen N. Halwachs(AbbVie (United States)), Julie J. Purkal(AbbVie (United States)), Inês A. Isidro(Instituto de Biologia Experimental e Tecnológica), Ana Félix(Instituto Português de Oncologia de Coimbra Francisco Gentil), Erwin R. Boghaert(AbbVie (United States)), Catarina Brito(Instituto Nacional de Administração, I. P.)
Scientific Reports
September 17, 2021
Cited by 54Open Access
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Abstract

The current standard preclinical oncology models are not able to fully recapitulate therapeutic targets and clinically relevant disease biology, evidenced by the 90% attrition rate of new therapies in clinical trials. Three-dimensional (3D) culture systems have the potential to enhance the relevance of preclinical models. However, the limitations of currently available cellular assays to accurately evaluate therapeutic efficacy in these models are hindering their widespread adoption. We assessed the compatibility of the lactate dehydrogenase (LDH) assay in 3D spheroid cultures against other commercially available readout methods. We developed a standardized protocol to apply the LDH assay to ex vivo cultures, considering the impact of culture growth dynamics. We show that accounting for growth rates and background release levels of LDH are sufficient to make the LDH assay a suitable methodology for longitudinal monitoring and endpoint assessment of therapeutic efficacy in both cell line-derived xenografts (xenospheres) and patient-derived explant cultures. This method has the added value of being non-destructive and not dependent on reagent penetration or manipulation of the parent material. The establishment of reliable readout methods for complex 3D culture systems will further the utility of these tumor models in preclinical and co-clinical drug development studies.


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