4.7 Review

Precision Medicine in Head and Neck Cancers: Genomic and Preclinical Approaches

Journal

JOURNAL OF PERSONALIZED MEDICINE
Volume 12, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/jpm12060854

Keywords

head and neck cancer; multi-omic analysis; 3D culture; patient-derived xenograft; zebrafish

Funding

  1. Italian Ministry of Health

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Head and neck cancers (HNCs) are a common type of malignancy worldwide, and current clinical approaches include surgery, radiotherapy, chemotherapy, and immunotherapy. Personalized medicine is being explored as an effective method for HNC treatment, although specific genetic mutations or biomarkers have not yet been identified. Preclinical research utilizing next-generation sequencing and innovative technologies has been used to obtain genomic and multi-omic profiles for personalized treatments. The interaction between malignant and healthy components, as well as with the extracellular matrix, plays a crucial role in treatment failure. In vitro and in vivo models, including 3D systems such as biomimetic scaffolds and organoids, have been developed to mimic the natural tumor microenvironment. This review explores new approaches to improve preclinical tools for studying and applying precision medicine in HNC patients.
Head and neck cancers (HNCs) represent the sixth most widespread malignancy worldwide. Surgery, radiotherapy, chemotherapeutic and immunotherapeutic drugs represent the main clinical approaches for HNC patients. Moreover, HNCs are characterised by an elevated mutational load; however, specific genetic mutations or biomarkers have not yet been found. In this scenario, personalised medicine is showing its efficacy. To study the reliability and the effects of personalised treatments, preclinical research can take advantage of next-generation sequencing and innovative technologies that have been developed to obtain genomic and multi-omic profiles to drive personalised treatments. The crosstalk between malignant and healthy components, as well as interactions with extracellular matrices, are important features which are responsible for treatment failure. Preclinical research has constantly implemented in vitro and in vivo models to mimic the natural tumour microenvironment. Among them, 3D systems have been developed to reproduce the tumour mass architecture, such as biomimetic scaffolds and organoids. In addition, in vivo models have been changed over the last decades to overcome problems such as animal management complexity and time-consuming experiments. In this review, we will explore the new approaches aimed to improve preclinical tools to study and apply precision medicine as a therapeutic option for patients affected by HNCs.

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