دورية أكاديمية
Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells
| العنوان: | Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells |
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| المؤلفون: | Sun, Roger, Sundahl, Nora, Hecht, Markus, Putz, Florian, Lancia, Andrea, Rouyar, Angela, Milic, Marina, Carré, Alexandre, Battistella, Enzo, Alvarez Andres, Emilie, Niyoteka, Stéphane, Romano, Edouard, Louvel, Guillaume, Durand-Labrunie, Jérôme, Bockel, Sophie, Bahleda, Rastilav, Robert, Charlotte, Boutros, Celine, Vakalopoulou, Maria, Paragios, Nikos, Frey, Benjamin, Soria, Jean-Charles, Massard, Christophe, Ferté, Charles, Fietkau, Rainer, Ost, Piet, Gaipl, Udo, Deutsch, Eric |
| المساهمون: | Radiothérapie Moléculaire et Innovation Thérapeutique (RaMo-IT), Institut Gustave Roussy (IGR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Ghent University Hospital, Friedrich-Alexander Universität Erlangen-Nürnberg = University of Erlangen-Nuremberg (FAU), Fondazione IRCCS Policlinico San Matteo Pavia, Università degli Studi di Pavia = University of Pavia (UNIPV), Département de radiothérapie Gustave Roussy, Institut Gustave Roussy (IGR), Département d’Innovation Thérapeutique et essais précoces Gustave Roussy (DITEP), Département de médecine oncologique Gustave Roussy, OPtimisation Imagerie et Santé (OPIS), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de vision numérique (CVN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-CentraleSupélec-Université Paris-Saclay, Mathématiques et Informatique pour la Complexité et les Systèmes (MICS), CentraleSupélec-Université Paris-Saclay, TheraPanacea Paris |
| المصدر: | ISSN: 2051-1426 ; Journal for Immunotherapy of Cancer ; https://hal.science/hal-03133258Test ; Journal for Immunotherapy of Cancer, 2020, 8 (2), pp.e001429. ⟨10.1136/jitc-2020-001429⟩. |
| بيانات النشر: | HAL CCSD BMJ Publishing Group |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV]Life Sciences [q-bio] |
| الوصف: | International audience ; Background Combining radiotherapy (RT) with immuno-oncology (IO) therapy (IORT) may enhance IO-induced antitumor response. Quantitative imaging biomarkers can be used to provide prognosis, predict tumor response in a non-invasive fashion and improve patient selection for IORT. A biologically inspired CD8 T-cells-associated radiomics signature has been developed on previous cohorts. We evaluated here whether this CD8 radiomic signature is associated with lesion response, whether it may help to assess disease spatial heterogeneity for predicting outcomes of patients treated with IORT. We also evaluated differences between irradiated and non-irradiated lesions.MethodsClinical data from patients with advanced solid tumors in six independent clinical studies of IORT were investigated. Immunotherapy consisted of 4 different drugs (antiprogrammed death-ligand 1 or anticytotoxic T-lymphocyte-associated protein 4 in monotherapy). Most patients received stereotactic RT to one lesion. Irradiated and non-irradiated lesions were delineated from baseline and the first evaluation CT scans. Radiomic features were extracted from contrast-enhanced CT images and the CD8 radiomics signature was applied. A responding lesion was defined by a decrease in lesion size of at least 30%. Dispersion metrices of the radiomics signature were estimated to evaluate the impact of tumor heterogeneity in patient’s response.ResultsA total of 94 patients involving multiple lesions (100 irradiated and 189 non-irradiated lesions) were considered for a statistical interpretation. Lesions with high CD8 radiomics score at baseline were associated with significantly higher tumor response (area under the receiving operating characteristic curve (AUC)=0.63, p=0.0020). Entropy of the radiomics scores distribution on all lesions was shown to be associated with progression-free survival (HR=1.67, p=0.040), out-of-field abscopal response (AUC=0.70, p=0.014) and overall survival (HR=2.08, p=0.023), which remained significant in a ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | hal-03133258; https://hal.science/hal-03133258Test; PUBMEDCENTRAL: PMC7668366 |
| DOI: | 10.1136/jitc-2020-001429 |
| الإتاحة: | https://doi.org/10.1136/jitc-2020-001429Test https://hal.science/hal-03133258Test |
| رقم الانضمام: | edsbas.84A3BCCD |
| قاعدة البيانات: | BASE |
| DOI: | 10.1136/jitc-2020-001429 |
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