Abstract

Background and AimChemotherapy and targeted therapy are used in treating head and neck cancers (HNCs) either alone or in combination with surgery, especially in advanced tumors but these treatments have resulted in variable outcomes in different patients. This, along with the introduction of new therapies to improve the survival of patients makes it necessary to search for models that can predict the response to treatment among different patients. Organoids, as three‐dimensional culture models, have been studied more widely in non‐HNCs and to a lesser extent in HNCs as tools to predict treatment outcomes. We aimed to conduct a review to validate the use of organoids as a preclinical tool for the treatment of HNCs patients.MethodsA comprehensive literature search was separately performed by both authors in PubMed and google scholar databases, using the following keywords: “organoid,” “head and neck cancer,” “personalized medicine,” “chemotherapy,” and “targeted therapy.” The articles published up to September 2021 were included in this review and selected according to a quality appraisal method.ResultsExamination of HNC‐derived organoids made in various studies showed that these organoids had the ability to recapitulate original tumor features, including histopathological properties, functional characteristics, and expression of molecular markers in almost all of the studies. Differential sensitivity to chemotherapy drugs similar to in vivo was observed in sensitivity testing. Epidermal growth factor receptor (EGFR) expression levels were different between organoids from different patients and EGFR expression level was found to correlate with the response to anti‐EGFR targeted therapy. A similar result was reported for organoids derived from salivary adenoid cystic carcinoma.ConclusionSince HNC‐derived organoids seem to recapitulate characteristics of original tumors and to show differential responses to different chemotherapy and targeted therapy agents, these organoids might have the potential to be used as preclinical prediction tools for the treatment of HNC patients.

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