Developing efficacious cancer therapeutics has proven to be extremely challenging. Cancer cell lines and tumor explants - as well as xenografts have been used in cancer research for over half a century1,2,3. To date, the molecular analysis of drug sensitivity and resistance in both established cancer cell lines and patient-derived xenografts (PDX) is indispensable. However, testing of compounds in established cancer cell lines is not often predictive of in vivo efficacy, and corresponding in vivo studies in animals, especially in PDX models, is very expensive and time consuming. The limitations of these model systems, namely the inability to inform on the influence of the native microenvironment in tumor progression and response to therapeutic strategies, has led the research field to develop additional methods to compliment these analyses. Of recent, heightened attention is being paid towards ex vivo analysis of patient tumor explants 4, 5 due to the greater understanding that cancer therapeutic response is not exclusive to the inherent molecular composition of cancer cells but rather is greatly influenced by the tumor cell microenvironment 6, 7 a feature that cannot be recapitulated by traditional culturing methods and/or PDX. Ex vivo analysis in the above context (i.e., influence of adjacent surrounding tumor cell microenvironment) implies assessment of viable primary tumor/metastasis sections, rather than ex vivo analysis of cellular isolates 8, 9.
We report here on an ex vivo technique (i.e., precision-sliced fresh tissue sections) of both patient primary tumors and associated metastases (i.e., lymph nodes) that faithfully informs on response (IC50), off-target effects and allows for molecular analysis of resistance and feedback mechanisms. Additionally, a correlative analysis of therapeutic sensitivity/resistance versus biomarker and gene expression profile can be performed in an effort to identify patients more likely to respond to the experimental drug of interest (i.e., high drug response matches patient with particular biological profile). Application of the ex vivo technique and assessment in a multi-parameter fashion is movement towards patient selection and overall improvement of clinical outcomes.
Ex vivo treatment response analysis could become a standard tool in the preclinical and clinical development of cancer therapeutics and is envisioned as a step towards a personalized medicine approach in therapeutic development strategies.