Metabolic Evaluation of Non–Small Cell Lung Cancer Patient–Derived Xenograft Models Using 18F-FDG PET: A Potential Tool for Early Therapy Response
| Autor: | Silvia Valtorta* 1, 2, Massimo Moro* 3, Giovanna Prisinzano 1, 4, Giulia Bertolini 3, Monica Tortoreto 5, Isabella Raccagni 2, Ugo Pastorino 6, Luca Roz 3, Gabriella Sozzi +3, Rosa Maria Moresco +2, 4 *Contributed equally to this work. +Contributed equally to this work. |
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| Přispěvatelé: | Valtorta, S, Moro, M, Prisinzano, G, Bertolini, G, Tortoreto, M, Raccagni, I, Pastorino, U, Roz, L, Sozzi, G, Moresco, R |
| Rok vydání: | 2016 |
| Předmět: |
Male
0301 basic medicine Oncology medicine.medical_specialty Lung Neoplasms Mice Nude Animal Imaging Oncology: Lung PET [18F]FDG PET lung cancer patient-derived xenograft stem cells Mice SCID 18F-FDG PET lung cancer patient-derived xenograft stem cells Early Therapy Sensitivity and Specificity 18f fdg pet 03 medical and health sciences 18F-FDG PET 0302 clinical medicine Fluorodeoxyglucose F18 Carcinoma Non-Small-Cell Lung Cell Line Tumor Internal medicine Biomarkers Tumor Tumor Cells Cultured medicine Animals Humans Radiology Nuclear Medicine and imaging Therapy efficacy Lung cancer Tumor xenograft business.industry Reproducibility of Results Pet imaging medicine.disease Molecular Imaging Glucose Outcome and Process Assessment Health Care Treatment Outcome 030104 developmental biology 030220 oncology & carcinogenesis Female Non small cell Radiopharmaceuticals Stem cell business |
| Zdroj: | The Journal of nuclear medicine (1978) 58 (2017): 42–47. doi:10.2967/jnumed.116.176404 info:cnr-pdr/source/autori:Silvia Valtorta* 1,2, Massimo Moro* 3, Giovanna Prisinzano 1,4, Giulia Bertolini 3, Monica Tortoreto 5, Isabella Raccagni 2,4, Ugo Pastorino 6, Luca Roz 3, Gabriella Sozzi +3 and Rosa Maria Moresco +2,4 *Contributed equally to this work. +Contributed equally to this work./titolo:Metabolic Evaluation of Non-Small Cell Lung Cancer Patient-Derived Xenograft Models Using 18F-FDG PET: A Potential Tool for Early Therapy Response./doi:10.2967%2Fjnumed.116.176404/rivista:The Journal of nuclear medicine (1978)/anno:2017/pagina_da:42/pagina_a:47/intervallo_pagine:42–47/volume:58 The Journal of nuclear medicine (1978. Online) (2016). doi:10.2967/jnumed.116.176404 info:cnr-pdr/source/autori:Silvia Valtorta, Massimo Moro, Giovanna Prisinzano, Giulia Bertolini, Monica Tortoreto, Isabella Raccagni, Ugo Pastorino, Luca Roz, Gabriella Sozzi, and Rosa Maria Moresco/titolo:Metabolic evaluation of non-small cell lung cancer patient-derived xenografts models using [18F]FDG PET: potential tools for early therapy response/doi:10.2967%2Fjnumed.116.176404/rivista:The Journal of nuclear medicine (1978. Online)/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume |
| ISSN: | 2159-662X 0161-5505 |
| DOI: | 10.2967/jnumed.116.176404 |
| Popis: | PURPOSE: Lung cancer heterogeneity makes response to therapy extremely hard to predict. Patient-derived xenografts (PDXs) represent a reliable preclinical model that closely recapitulates the main characteristics of the primary tumor and could represent a useful asset to test new therapies. Here, using PET imaging, we verify how lung cancer PDXs reproduce the metabolic features of the corresponding primary tumors. METHODS: We performed longitudinal [18F]FDG-PET studies on nine different PDXs, obtained by implants of primary cancer fragments harvested from patients. Max [18F]FDG uptake values of the lesion for each group were calculated and compared to corresponding patient's uptake. RESULTS: Different PDXs showed variable tumor growth rate and [18F]FDG uptake confirming the preservation of individual characteristics. A good intra-group reproducibility of PET measurements was observed. Furthermore, the subgroup of PDXs originating from primary tumors with higher metabolic rate displayed a rank order of [18F]FDG uptake similar to that of patients' original SUV. CONCLUSION: PDXs reproduced the original glucose metabolism of primary lesions and represent therefore a promising preclinical model also for the early assessment of therapy efficacy. |
| Databáze: | OpenAIRE |
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