Literature DB >> 32211941

PET/MRI and genetic intrapatient heterogeneity in head and neck cancers.

Kerstin Clasen1, Sara Leibfarth2, Franz J Hilke3, Jakob Admard3, René M Winter2, Stefan Welz4,5, Sergios Gatidis5,6, Dominik Nann7, Stephan Ossowski3,8,9, Thomas Breuer10, Christian la Fougère5,11, Konstantin Nikolaou5,6, Olaf Riess3,9, Daniel Zips4,5, Christopher Schroeder3, Daniela Thorwarth2,5.   

Abstract

PURPOSE: The relation between functional imaging and intrapatient genetic heterogeneity remains poorly understood. The aim of our study was to investigate spatial sampling and functional imaging by FDG-PET/MRI to describe intrapatient tumour heterogeneity.
METHODS: Six patients with oropharyngeal cancer were included in this pilot study. Two tumour samples per patient were taken and sequenced by next-generation sequencing covering 327 genes relevant in head and neck cancer. Corresponding regions were delineated on pretherapeutic FDG-PET/MRI images to extract apparent diffusion coefficients and standardized uptake values.
RESULTS: Samples were collected within the primary tumour (n = 3), within the primary tumour and the involved lymph node (n = 2) as well as within two independent primary tumours (n = 1). Genetic heterogeneity of the primary tumours was limited and most driver gene mutations were found ubiquitously. Slightly increasing heterogeneity was found between primary tumours and lymph node metastases. One private predicted driver mutation within a primary tumour and one in a lymph node were found. However, the two independent primary tumours did not show any shared mutations in spite of a clinically suspected field cancerosis. No conclusive correlation between genetic heterogeneity and heterogeneity of PET/MRI-derived parameters was observed.
CONCLUSION: Our limited data suggest that single sampling might be sufficient in some patients with oropharyngeal cancer. However, few driver mutations might be missed and, if feasible, spatial sampling should be considered. In two independent primary tumours, both lesions should be sequenced. Our data with a limited number of patients do not support the concept that multiparametric PET/MRI features are useful to guide biopsies for genetic tumour characterization.

Entities:  

Keywords:  Next-generation sequencing; Oropharyngeal cancer; Quantitative functional imaging; Radiogenomics; Spatial sampling

Mesh:

Substances:

Year:  2020        PMID: 32211941     DOI: 10.1007/s00066-020-01606-y

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  4 in total

1.  Radio(chemo)therapy in anaplastic thyroid cancer-high locoregional but low distant control rates-a monocentric analysis of a tertiary referral center.

Authors:  Matthias Schmied; Sebastian Lettmaier; Sabine Semrau; Maximilian Traxdorf; Konstantinos Mantsopoulos; Sarina K Mueller; Heinrich Iro; Axel Denz; Robert Grützmann; Rainer Fietkau; Marlen Haderlein
Journal:  Strahlenther Onkol       Date:  2022-05-06       Impact factor: 4.033

Review 2.  Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature.

Authors:  Xi Wang; Bin-Bin Li
Journal:  Front Genet       Date:  2021-02-10       Impact factor: 4.599

3.  Predictive Value of Multiparametric MRI for Response to Single-Cycle Induction Chemo-Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma.

Authors:  Konstantin Hellwig; Stephan Ellmann; Markus Eckstein; Marco Wiesmueller; Sandra Rutzner; Sabine Semrau; Benjamin Frey; Udo S Gaipl; Antoniu Oreste Gostian; Arndt Hartmann; Heinrich Iro; Rainer Fietkau; Michael Uder; Markus Hecht; Tobias Bäuerle
Journal:  Front Oncol       Date:  2021-10-21       Impact factor: 6.244

4.  Dynamics of HMBG1 (High Mobility Group Box 1) during radiochemotherapy correlate with outcome of HNSCC patients.

Authors:  Kerstin Clasen; Stefan Welz; Heidrun Faltin; Daniel Zips; Franziska Eckert
Journal:  Strahlenther Onkol       Date:  2021-10-20       Impact factor: 3.621

  4 in total

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