Abstract IA018: Liquid biopsy in head and neck cancers: A model for tissue-agnostic MRD detection

Abstract Head and neck cancer (HNC) is a molecularly heterogenous disease with a variable clinical course. Current treatment decisions rely primarily on pre-treatment prognostic factors without consideration of treatment response. This presentation will introduce liquid biopsy biomarkers that can be repeated in HNC patients for the purpose of dynamic risk stratification, treatment adaptation, and post-treatment surveillance. Novel approaches to measuring circulating tumor DNA (ctDNA) will be described, with particular attention to viral-associated and non-viral- associated subtypes of HNC. Detection of molecular residual disease (MRD) using ctDNA will be discussed. As HNC is often treated by non-surgical means, there is a pressing need for tissue- agnostic methods for ctDNA-based MRD detection. Analysis of tumor-specific genetic and epigenetic aberrations within ctDNA each present distinct opportunities and challenges for tissue-agnostic characterization of ctDNA. Viral ctDNA has emerged as a convenient target for MRD detection in viral-associated HNC, while ctDNA methylome profiling offers a versatile approach for tissue-agnostic MRD detection across HNC subtypes. Future applications of these methods may improve individualized management of HNC patients without requiring access to precious tumor tissue samples. Citation Format: Scott V Bratman. Liquid biopsy in head and neck cancers: A model for tissue-agnostic MRD detection [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr IA018.

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Journal
Clinical Cancer Research
Published
2024-11-13
DOI
https://doi.org/10.1158/1557-3265.liqbiop24-ia018
Primary Topic
Medical Imaging and Pathology Studies
Type
article
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article

Abstract IA018: Liquid biopsy in head and neck cancers: A model for tissue-agnostic MRD detection

Scott Victor Bratman
Clinical Cancer Research
Medical Imaging and Pathology Studies
article

Abstract IA018: Liquid biopsy in head and neck cancers: A model for tissue-agnostic MRD detection

Scott Victor Bratman
article en

Abstract

Abstract Head and neck cancer (HNC) is a molecularly heterogenous disease with a variable clinical course. Current treatment decisions rely primarily on pre-treatment prognostic factors without consideration of treatment response. This presentation will introduce liquid biopsy biomarkers that can be repeated in HNC patients for the purpose of dynamic risk stratification, treatment adaptation, and post-treatment surveillance. Novel approaches to measuring circulating tumor DNA (ctDNA) will be described, with particular attention to viral-associated and non-viral- associated subtypes of HNC. Detection of molecular residual disease (MRD) using ctDNA will be discussed. As HNC is often treated by non-surgical means, there is a pressing need for tissue- agnostic methods for ctDNA-based MRD detection. Analysis of tumor-specific genetic and epigenetic aberrations within ctDNA each present distinct opportunities and challenges for tissue-agnostic characterization of ctDNA. Viral ctDNA has emerged as a convenient target for MRD detection in viral-associated HNC, while ctDNA methylome profiling offers a versatile approach for tissue-agnostic MRD detection across HNC subtypes. Future applications of these methods may improve individualized management of HNC patients without requiring access to precious tumor tissue samples. Citation Format: Scott V Bratman. Liquid biopsy in head and neck cancers: A model for tissue-agnostic MRD detection [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr IA018.

Clinical Cancer ResearchVol. 30(21_Supplement)
University of Toronto (CA)
Good health and well-being
Openalex Percentile: Top 62%
Medical Imaging and Pathology Studies
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