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HPV-associated head and neck cancer: molecular and nano-scale markers for prognosis and therapeutic stratification.

ABSTRACT: Over the last 10 years, it has become clear that patients with head and neck cancer can be stratified into two distinct subgroups on the basis of the etiology of their disease. Patients with human papillomavirus-related cancers have significantly better survival rates and may necessitate different therapeutic approaches than those with tobacco and/or alcohol related cancers. This review discusses the various biomarkers currently in use for identification of patients with HPV-positive cancers with a focus on the advantages and limitations of molecular and nano-scale markers.

SUBMITTER: Kimple AJ

PROVIDER: S-EPMC3355463 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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HPV-associated head and neck cancer: molecular and nano-scale markers for prognosis and therapeutic stratification.

Kimple Adam J AJ Torres Alexandra D AD Yang Robert Z RZ Kimple Randall J RJ

Sensors (Basel, Switzerland) 20120420 4

Over the last 10 years, it has become clear that patients with head and neck cancer can be stratified into two distinct subgroups on the basis of the etiology of their disease. Patients with human papillomavirus-related cancers have significantly better survival rates and may necessitate different therapeutic approaches than those with tobacco and/or alcohol related cancers. This review discusses the various biomarkers currently in use for identification of patients with HPV-positive cancers wit ...[more]

PMID: 22666080

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Determining the molecular landscape and impact on prognosis in HPV-associated head and neck cancer.

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Therapeutic strategies of different HPV status in Head and Neck Squamous Cell Carcinoma.

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HPV Associated Head and Neck Cancer.

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Project description:Head and neck squamous cell carcinomas (HNSCC) driven by human papillomavirus (HPV) generally have a more favourable prognosis. We hypothesized that HPV-positive HNSCC may be identified based on a miRNA signature according to their specific molecular pathogenesis and are characterized by a unique transcriptome compared to HPV-negative HNSCC. We characterized the miRNA-expression patterns of the tumors from 229 head and neck squamous cell carcinoma patients by Agilent miRNA microarrays in order to define a HPV-predicting miRNA signature.

2023-05-10 | GSE175509 | GEO

Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer.

Project description:PurposeHead and neck squamous cell carcinomas (HNSCCs) are a molecularly, histologically, and clinically heterogeneous set of tumors originating from the mucosal epithelium of the oral cavity, pharynx, and larynx. This heterogeneous nature of HNSCC is one of the main contributing factors to the lack of prognostic markers for personalized treatment. The aim of this study was to develop and identify multi-omics markers capable of improved risk stratification in this highly heterogeneous patient population.MethodsIn this retrospective study, we approached this issue by establishing radiogenomics markers to identify high-risk individuals in a cohort of 127 HNSCC patients. Hybrid in vivo imaging and whole-exome sequencing were employed to identify quantitative imaging markers as well as genetic markers on pathway-level prognostic in HNSCC. We investigated the deductibility of the prognostic genetic markers using anatomical and metabolic imaging using positron emission tomography combined with computed tomography. Moreover, we used statistical and machine learning modeling to investigate whether a multi-omics approach can be used to derive prognostic markers for HNSCC.ResultsRadiogenomic analysis revealed a significant influence of genetic pathway alterations on imaging markers. A highly prognostic radiogenomic marker based on cellular senescence was identified. Furthermore, the radiogenomic biomarkers designed in this study vastly outperformed the prognostic value of markers derived from genetics and imaging alone.ConclusionUsing the identified markers, a clinically meaningful stratification of patients is possible, guiding the identification of high-risk patients and potentially aiding in the development of effective targeted therapies.

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