Transcriptomics in cancer revealed by Positron Emission Tomography radiomics
| Autor: | Tixier, Florent, Cheze-le-Rest, Catherine, Schick, Ulrike, Simon, Brigitte, Dufour, Xavier, Key, Stéphane, Pradier, Olivier, Aubry, Marc, Hatt, Mathieu, Corcos, Laurent, Visvikis, Dimitris |
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| Přispěvatelé: | Department of Nuclear Medicine [Poitiers], Centre hospitalier universitaire de Poitiers (CHU Poitiers), Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Radiation Oncology Department [Brest], Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), EFS-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Head and Neck Department [Poitiers], Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), This study was funded by grants from the Université de Brest, the INSERM, the CHRU hôpital de Brest, the Ligue contre le Cancer and the Cancéropole Grand Ouest., Bodescot, Myriam, Institut National de la Santé et de la Recherche Médicale (INSERM)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male DNA Repair Tumour heterogeneity lcsh:Medicine Gene Expression [SDV.CAN]Life Sciences [q-bio]/Cancer [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine Article [SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine Tumour biomarkers [SDV.CAN] Life Sciences [q-bio]/Cancer Fluorodeoxyglucose F18 [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN] Image Processing Computer-Assisted Humans lcsh:Science Aged lcsh:R Cell Cycle Middle Aged Extracellular Matrix Head and Neck Neoplasms Positron-Emission Tomography [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN] lcsh:Q Cancer imaging Female Radiopharmaceuticals Tomography X-Ray Computed Transcriptome Biomarkers Signal Transduction |
| Zdroj: | Scientific Reports Scientific Reports, 2020, 10 (1), pp.5660. ⟨10.1038/s41598-020-62414-z⟩ Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) Scientific Reports, Nature Publishing Group, 2020, 10 (1), pp.5660. ⟨10.1038/s41598-020-62414-z⟩ |
| ISSN: | 2045-2322 |
| Popis: | International audience; Metabolic images from Positron Emission Tomography (PET) are used routinely for diagnosis, follow-up or treatment planning purposes of cancer patients. In this study we aimed at determining if radiomic features extracted from 18F-Fluoro Deoxy Glucose (FDG) PET images could mirror tumor transcriptomics. In this study we analyzed 45 patients with locally advanced head and neck cancer (H&N) that underwent FDG-PET scans at the time of diagnosis and transcriptome analysis using RNAs from both cancer and healthy tissues on microarrays. Association between PET radiomics and transcriptomics was carried out with the Genomica software and a functional annotation was used to associate PET radiomics, gene expression and altered biological pathways. We identified relationships between PET radiomics and genes involved in cell-cycle, disease, DNA repair, extracellular matrix organization, immune system, metabolism or signal transduction pathways, according to the Reactome classification. Our results suggest that these FDG PET radiomic features could be used to infer tissue gene expression and cellular pathway activity in H&N cancers. These observations strengthen the value of radiomics as a promising approach to personalize treatments through targeting tumor-specific molecular processes. |
| Databáze: | OpenAIRE |
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