Dataset Information

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

ABSTRACT:

Purpose

Head 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.

Methods

In 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.

Results

Radiogenomic 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.

Conclusion

Using 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.

SUBMITTER: Spielvogel CP

PROVIDER: S-EPMC9816299 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

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

Spielvogel Clemens P CP Stoiber Stefan S Papp Laszlo L Krajnc Denis D Grahovac Marko M Gurnhofer Elisabeth E Trachtova Karolina K Bystry Vojtech V Leisser Asha A Jank Bernhard B Schnoell Julia J Kadletz Lorenz L Heiduschka Gregor G Beyer Thomas T Hacker Marcus M Kenner Lukas L Haug Alexander R AR

European journal of nuclear medicine and molecular imaging 20220926 2

<h4>Purpose</h4>Head 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 p ...[more]

PMID: 36161512

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Project description:ObjectivesThe aim of this study was to evaluate whether simple 2D measurements in axial slices of head and neck CT examinations correlate with generally established measurements of body composition in abdominal CT at the height of the third lumbar vertebra and thus allow for an estimation of muscle and fat masses.MethodsOne hundred twenty-two patients who underwent concurrent CT of the head and neck and the abdomen between July 2016 and July 2020 were retrospectively included. For a subset of 30 patients, additional bioelectrical impedance analysis (BIA) was available. Areas of paraspinal muscles at the height of the third (C3) and fifth cervical vertebrae (C5) as well as the total cross-sectional area at the height of C3 and at the submandibular level were correlated with the results of abdominal measurements and BIA. Furthermore, intra- and interreader variabilities of all measurements were assessed.ResultsRegarding adipose tissue, good correlations were found between the total cross-sectional area of the patient's body at the submandibular level and at the height of C3 between both abdominal measurements and BIA results (r = 0.8-0.92; all p < 0.001). Regarding muscle, the total paraspinal muscle area at the height of C3 and C5 showed strong correlations with abdominal measurements and moderate to strong correlations with BIA results (r = 0.44-0.80; all p < 0.001), with the muscle area on C5 yielding slightly higher correlations.ConclusionsBody composition information can be obtained with comparable reliability from head and neck CT using simple biplanar measurements as from abdominal CT.Key points• The total paraspinal muscle area at the height of C3 and C5 correlates strongly with abdominal muscle mass. • The total cross-sectional area at the submandibular level and at the height of C3 shows good correlations with abdominal fat mass. • The described measurements facilitate a rapid, opportunistic assessment of relevant body composition parameters.

Dataset Information

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

Purpose

Methods

Results

Conclusion

Publications

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

Similar Datasets

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