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1. Tumor-intrinsic sensitivity to the pro-apoptotic effects of IFN-γ is a major determinant of CD4+ CAR T-cell antitumor activity

Author

Morgane Boulch, Marine Cazaux, Alexis Cuffel, Marion V. Guerin, Zacarias Garcia, Ruby Alonso, Fabrice Lemaître, Alexander Beer, Béatrice Corre, Laurie Menger, Capucine L. Grandjean, Florence Morin, Catherine Thieblemont, Sophie Caillat-Zucman, Philippe Bousso, Dynamiques des Réponses immunes - Dynamics of Immune Responses, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Hopital Saint-Louis [AP-HP] (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de Recherche Saint-Louis - Hématologie Immunologie Oncologie (Département de recherche de l’UFR de médecine, ex- Institut Universitaire Hématologie-IUH) (IRSL), Université Paris Cité (UPCité), Institut Gustave Roussy (IGR), Immunologie des tumeurs et immunothérapie (UMR 1015), Université Paris-Sud - Paris 11 (UP11)-Institut Gustave Roussy (IGR)-Institut National de la Santé et de la Recherche Médicale (INSERM), The work was supported by Institut Pasteur, INSERM, INCa (PLBIO21-104) and an Advanced grant (ENLIGHTEN) from the European Research Council (P.B.)., We thank members of the Bousso laboratory for critical review of the paper. We are grateful to F. Sepulveda for providing Prf1−/− mice. We acknowledge the mouse facility and CB UTechS at Institut Pasteur for support in conducting the present study, European Project: 741167,ERC-2016-ADG,ENLIGHTEN(2018), Immunologie anti-tumorale et immunothérapie des cancers (ITIC), and Institut Gustave Roussy (IGR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay

Subjects
Cancer Research, Oncology, [SDV]Life Sciences [q-bio]
Abstract

CD4+ T cells and CD4+ chimeric antigen receptor (CAR) T cells display highly variable antitumor activity in preclinical models and in patients; however, the mechanisms dictating how and when CD4+ T cells promote tumor regression are incompletely understood. With the help of functional intravital imaging, we report that interferon (IFN)-γ production but not perforin-mediated cytotoxicity was the dominant mechanism for tumor elimination by anti-CD19 CD4+ CAR T cells. Mechanistically, mouse or human CD4+ CAR T-cell-derived IFN-γ diffused extensively to act on tumor cells at distance selectively killing tumors sensitive to cytokine-induced apoptosis, including antigen-negative variants. In anti-CD19 CAR T-cell-treated patients exhibiting elevated CAR CD4:CD8 ratios, strong induction of serum IFN-γ was associated with increased survival. We propose that the sensitivity of tumor cells to the pro-apoptotic activity of IFN-γ is a major determinant of CD4+ CAR T-cell efficacy and may be considered to guide the use of CD4+ T cells during immunotherapy.

Published
2023

2. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study

Author

Eva Ardanaz, Agnetha Linn Rostgaard-Hansen, Alessio Naccarati, Elisabete Weiderpass, Pekka Keski-Rahkonen, Rudolf Kaaks, Tilman Kühn, Anna Winkvist, Jośe Mariá Huerta, H. B. Bueno-De-Mesquita, Guri Skeie, Pietro Ferrari, Krasimira Aleksandrova, Gabriel Perlemuter, Augustin Scalbert, Olatz Mokoroa, Giovanna Tagliabue, Marc J. Gunter, Kim Overvad, José Ramón Quirós, Agneta Kiss, Marie-Christine Boutron-Ruault, Yahya Mahamat-Saleh, Talita Duarte-Salles, Nivonirina Robinot, Anne Tjønneland, Antonia Trichopoulou, Julie A. Schmidt, Christina C. Dahm, Roel Vermeulen, Rosario Tumino, Núria Sala, Joseph A. Rothwell, Sophia Harlid, Magdalena Stepien, Klas Sjöberg, Vivian Viallon, Neil Murphy, Anna Karakatsani, Salvatore Panico, Nicholas J. Wareham, María José Sánchez, Francesca Mancini, Domenico Palli, Mazda Jenab, Elio Riboli, Bodil Ohlsson, Kay-Tee Khaw, Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut National Du Cancer, INCa: 2014-1-RT-02-CIRC-1 Ministerie van Volksgezondheid, Welzijn en Sport, VWS Cancer Research UK, CRUK: C570/A16491 Ministerie van Volksgezondheid, Welzijn en Sport, VWS Ligue Contre le Cancer German Cancer Research Center, DKFZ Bundesministerium für Bildung und Forschung, BMBF Institut National de la Santé et de la Recherche Médicale, Inserm Kræftens Bekæmpelse, DCS National Research Council, NRC 6236 Hellenic Health Foundation, HHF Fondation Gustave Roussy European Commission, EC Centre International de Recherche sur le Cancer, CIRC Associazione Italiana per la Ricerca sul Cancro, AIRC RD06/0020 Deutsche Krebshilfe World Cancer Research Fund, WCRF Cancerfonden Medical Research Council, MRC: MR/M012190/1, This work was supported by the French National Cancer Institute (L'Institut National du Cancer, INCA) (grant number 2014-1-RT-02-CIRC-1, PI: M. Jenab). The coordination of EPIC is financially supported by the European Commission (DG-SANCO), and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle G?n?rale de l'Education Nationale, and Institut National de la Sant? et de la Recherche M?dicale (INSERM) (France), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum (DKFZ), and Federal Ministry of Education and Research (Germany), Hellenic Health Foundation (Greece), Italian Association for Research on Cancer (AIRC), National Research Council, and AIRE-ONLUS Ragusa, AVIS Ragusa, Sicilian Government (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), and Statistics Netherlands (the Netherlands), and Nordic Center of Excellence Programme on Food, Nutrition and Health (Norway), Health Research Fund (FIS), Regional Governments of Andaluc?a, Asturias, Basque Country, Murcia (No. 6236) and Navarra, and ISCIII RETIC (RD06/0020) and the Catalan Institute of Oncology (Spain), Swedish Cancer Society, Swedish Scientific Council, and Regional Government of Sk?ne and V?sterbotten (Sweden), Cancer Research UK (14136 for EPIC-Norfolk and C570/A16491 for EPIC-Oxford) and the Medical Research Council (1000143 for EPIC-Norfolk and MR/M012190/1 for EPIC-Oxford) (UK). The funding sources had no influence on the design of the study, the collection, analysis, and interpretation of data, the writing of the report, and or the decision to submit the paper for publication. Disclaimer: Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/World Health Organization.

Subjects
Male, Oncology, Cancer Research, medicine.medical_specialty, Carcinoma, Hepatocellular, prospective observational cohort, Glycocholic acid, [SDV.CAN]Life Sciences [q-bio]/Cancer, Mass Spectrometry, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Dehydroepiandrosterone sulfate, Internal medicine, Biomarkers, Tumor, medicine, Humans, Metabolomics, Prospective Studies, Aged, Hepatitis, business.industry, Liver Neoplasms, Cancer, Feeding Behavior, hepatocellular carcinoma, Middle Aged, medicine.disease, 3. Good health, European Prospective Investigation into Cancer and Nutrition, untargeted metabolomics, chemistry, Case-Control Studies, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Cohort, Female, business, Metabolic Networks and Pathways, Chromatography, Liquid, Cohort study
Abstract

International audience; Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (>520 000 participants), where we identified 129 HCC cases matched 1:1 to controls. We conducted high-resolution untargeted liquid chromatography-mass spectrometry-based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk, of which 14 were unambiguously identified using pure reference standards. Positive HCC-risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, l,l-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids and phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development.

Published
2020

3. Consumption of Fish and ω-3 Fatty Acids and Cancer Risk: An Umbrella Review of Meta-Analyses of Observational Studies

Author

Hans Oh, Mingyang Song, Jae Il Shin, Ai Koyanagi, Louis Jacob, Andreas Kronbichler, Gaeun Kim, Michael Eisenhut, Eun Kyoung Choi, Sun Jae Jung, Lin Yang, Marco Solmi, Gwang Hun Jeong, Eunyoung Jung, Brendon Stubbs, Keum Hwa Lee, Eunyoung Cho, Joaquim Radua, Edward Giovannucci, NaNa Keum, Hyo Jin Seong, Nicola Veronese, Hyunbong Park, Lee Smith, Gabriele Gamerith, Giuseppe Grosso, Trevor Thompson, Elena Dragioti, Sarah E Jackson, Leandro Fórnias Machado de Rezende, Shuji Ogino, Jong Yeob Kim, Hans van Vliet, Sung Hwi Hong, Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), South London and Maudsley NHS Foundation Trust National Institute for Health Research, NIHR NIHR Collaboration for Leadership in Applied Health Research and Care South London National Institutes of Health, NIH: R35 CA197735 Maudsley Charity King’s College London National Institutes of Health, NIH: R35 CA197735, KHL, HJS, GK, GHJ, and JYK contributed equally to this work. The authors report no funding received for this study. Author Disclosures: The authors report no conflicts of interest. BS is supported by a Clinical Lectureship (ICA-CL-2017-03-001) jointly funded by Health Education England (HEE) and the National Institute for Health Research (NIHR), is in part funded by the NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, and is also supported by the Maudsley Charity, King’s College London, and the NIHR South London Collaboration for Leadership in Applied Health Research and Care (CLAHRC) funding. The time effort of SO was in part supported by US National Institutes of Health grant R35 CA197735. This paper presents independent research. The views expressed in this publication are those of the authors and not necessarily those of the acknowledged institutions. Address correspondence to JIS (e-mail: shinji@yuhs.ac) or EKC (e-mail: ekchoi@yuhs.ac). Supplemental Table 1 is available from the 'Supplementary data'link in the online posting of the article and from the same link in the online table of contents at https://academic.oup.com/advances. Abbreviation used: ALA, α-linolenic acid, AMSTAR2, A Measurement Tool to Assess Systematic Reviews 2, CUP, Continuous Update Project, DPA, docosapentaenoic acid, GRADE, Grading of Recommendations Assessment, Development and Evaluation, HCC, hepatocellular carcinoma, NA, not assessable, PI, prediction interval, PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses, WCRF/AICR, Word Cancer Research Fund/American Institute for Cancer Research., The time effort of SO was in part supported by US National Institutes of Health grant R35 CA197735., Lee, K.H., Seong, H.J., Kim, G., Jeong, G.H., Kim, J.Y., Park, H., Jung, E., Kronbichler, A., Eisenhut, M., Stubbs, B., Solmi, M., Koyanagi, A., Hong, S.H., Dragioti, E., De Rezende, L.F.M., Jacob, L., Keum, N., Van Der Vliet, H.J., Cho, E., Veronese, N., Grosso, G., Ogino, S., Song, M., Radua, J., Jung, S.J., Thompson, T., Jackson, S.E., Smith, L., Yang, L., Oh, H., Choi, E.K., Shin, J.I., Giovannucci, E.L., and Gamerith, G.

Subjects
Male, Risk, Oncology, medicine.medical_specialty, [SDV]Life Sciences [q-bio], BF, Medicine (miscellaneous), Review, Cohort Studies, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Breast cancer, ω-3 fatty acid, Meta-Analysis as Topic, Neoplasms, Internal medicine, Fatty Acids, Omega-3, medicine, Animals, Humans, cancer, 030212 general & internal medicine, ω-3 fatty acid, fish, cancer, umbrella review, meta-analysis, chemistry.chemical_classification, fish, Nutrition and Dietetics, umbrella review, business.industry, Endometrial cancer, Fishes, Fatty acid, Cancer, medicine.disease, R1, 3. Good health, meta-analysis, Observational Studies as Topic, chemistry, Case-Control Studies, 030220 oncology & carcinogenesis, Meta-analysis, Female, Skin cancer, business, Liver cancer, Food Science
Abstract

Multiple studies have suggested that ω-3 fatty acid intake may have a protective effect on cancer risk; however, its true association with cancer risk remains controversial. We performed an umbrella review of meta-analyses to summarize and evaluate the evidence for the association between ω-3 fatty acid intake and cancer outcomes. We searched PubMed, Embase, and the Cochrane Database of Systematic Reviews from inception to December 1, 2018. We included meta-analyses of observational studies that examined associations between intake of fish or ω-3 fatty acid and cancer risk (gastrointestinal, liver, breast, gynecologic, prostate, brain, lung, and skin) and determined the level of evidence of associations. In addition, we appraised the quality of the evidence of significant meta-analyses by using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. We initially screened 598 articles, and 15 articles, including 57 meta-analyses, were eligible. Among 57 meta-analyses, 15 reported statistically significant results. We found that 12 meta-analyses showed weak evidence of an association between ω-3 fatty acid intake and risk of the following types of cancer: liver cancer (n = 4 of 6), breast cancer (n = 3 of 14), prostate cancer (n = 3 of 11), and brain tumor (n = 2 of 2). In the other 3 meta-analyses, studies of endometrial cancer and skin cancer, there were no assessable data for determining the evidence levels. No meta-analysis showed convincing, highly suggestive, or suggestive evidence of an association. In the sensitivity analysis of meta-analyses by study design, we found weak associations between ω-3 fatty acid intake and breast cancer risk in cohort studies, but no statistically significant association in case-control studies. However, the opposite results were found in case of brain tumor risk. Although ω-3 fatty acids have been studied in several meta-analyses with regard to a wide range of cancer outcomes, only weak associations were identified in some cancer types, with several limitations. Considering the nonsignificant or weak evidence level, clinicians and researchers should cautiously interpret reported associations between ω-3 fatty acid consumption and cancer risks. Copyright © 2020 The Author(s) on behalf of the American Society for Nutrition.

Published
2020

4. Advantages and disadvantages of the use of the CSF Amyloid β (Aβ) 42/40 ratio in the diagnosis of Alzheimer’s Disease

Author

Markus Otto, Henrik Zetterberg, Piotr Lewczuk, Oskar Hansson, Sylvain Lehmann, Clinical Memory Research Unit [Malmö, Suède], Department of Clinical Sciences [Malmö, Suède], Lund University [Malmö, Suède]-Lund University [Malmö, Suède], Memory Clinic [Malmö, Suède], Skåne University Hospital [Malmö, Suède], Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Department of Neurology [Ulm, Allemagne], Universität Ulm - Ulm University [Ulm, Allemagne], Clinical Neurochemistry Laboratory [Göteborg, Suède], Department of Psychiatry and Neurochemistry [Goteborg], Institute of Neuroscience and Physiology [Göteborg]-Sahlgrenska Academy at University of Gothenburg [Göteborg]-Institute of Neuroscience and Physiology [Göteborg]-Sahlgrenska Academy at University of Gothenburg [Göteborg], Department of Neurodegenerative Disease [Londres, Royaume-Uni], Institute of Neurology [London], University College of London [London] (UCL)-University College of London [London] (UCL), UK Dementia Research Institute (UK DRI), University College of London [London] (UCL), Department of Psychiatry and Psychotherapy [Erlangen, Allemagne], Universitätsklinikum Erlangen [Erlangen, Allemagne], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)-Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Department of Neurodegeneration Diagnostics [Bialystok, Pologne], Medical University of Bialystok [Bialystok, Pologne], Lab for Clinical Neurochemistry and Neurochemical Dementia Diagnostics [Erlangen, Allemagne], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)-Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)-Universitätsklinikum Erlangen [Erlangen, Allemagne], Fujirebio Europe sponsored this paper, however, it had no influence on its factual content. PL was supported by the Innovative Medicines Initiative Joint Undertaking under EMIF grant agreement n° 115372, resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in kind contribution. OH has acquired research support (for the institution) from Roche, GE Healthcare, Biogen, AVID Radiopharmaceuticals, Fujirebio and Euroimmun. HZ’s research is supported by the Swedish Research Council, the European Research Council, the Knut and Alice Wallenberg Foundation, the Olav Thon Foundation, the UK Dementia Research Institute at UCL and Swedish State Support for Clinical Research (ALFGBG)., Lund University [Lund]-Lund University [Lund], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Medical University of Białystok (MUB), and Bodescot, Myriam

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Neurology, Amyloid β, Cognitive Neuroscience, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Diagnostic accuracy, Disease, Review, Aβ 42/40 ratio, Alzheimer's Disease, lcsh:RC346-429, lcsh:RC321-571, 03 medical and health sciences, 0302 clinical medicine, Cerebrospinal fluid, Medizinische Fakultät, Alzheimer Disease, Internal medicine, medicine, Dementia, Humans, ddc:610, Alzheimer’s Disease, Cognitive impairment, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biochemical markers, lcsh:Neurology. Diseases of the nervous system, Cerebrospinal Fluid, Amyloid beta-Peptides, [SDV.MHEP.GEG] Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontology, business.industry, [SDV.MHEP.GEG]Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontology, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, medicine.disease, Peptide Fragments, 030104 developmental biology, Aβ42/40 ratio, Neurology (clinical), business, 030217 neurology & neurosurgery, Amyloidβ Peptides, Biomarkers
Abstract

International audience; The cerebrospinal fluid (CSF) biochemical markers (biomarkers) Amyloidβ 42 (Aβ42), total Tau (T-tau) and Tau phosphorylated at threonine 181 (P-tau181) have proven diagnostic accuracy for mild cognitive impairment and dementia due to Alzheimer's Disease (AD). In an effort to improve the accuracy of an AD diagnosis, it is important to be able to distinguish between AD and other types of dementia (non-AD). The concentration ratio of Aβ42 to Aβ40 (Aβ42/40 Ratio) has been suggested to be superior to the concentration of Aβ42 alone when identifying patients with AD. This article reviews the available evidence on the use of the CSF Aβ42/40 ratio in the diagnosis of AD. Based on the body of evidence presented herein, it is the conclusion of the current working group that the CSF Aβ42/40 ratio, rather than the absolute value of CSF Aβ42, should be used when analysing CSF AD biomarkers to improve the percentage of appropriately diagnosed patients.

Published
2019

5. Patient specific simulation of tumor growth, response to the treatment and relapse of a lung metastasis: a clinical case

Author

Julien Jouganous, Jean Palussière, Thierry Colin, François Cornelis, Olivier Saut, Modélisation Mathématique pour l'Oncologie (MONC), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Institut Bergonié [Bordeaux], UNICANCER-UNICANCER-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), Hôpital Pellegrin, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Institut Bergonié [Bordeaux], UNICANCER, This study has been carried out within the frame of the LABEX TRAIL, ANR-10-LABX-0057 with financial support from the French State, managed by the French National Research Agency (ANR) in the frame of the 'Investments for the future' Programme IdEx (ANR-10-IDEX-03-02).Experiments presented in this paper were carried out using the PLAFRIM experimental testbed, being developed under the Inria PlaFRIM development action with support from LABRI and IMB and other entities: Conseil R ́egional d’Aquitaine, FeDER, Universit ́e de Bordeaux and CNRS (see https://plafrim.bordeaux.inria.fr/)., Inria Bordeaux, ANR-10-IDEX-0003,IDEX BORDEAUX,Initiative d'excellence de l'Université de Bordeaux(2010), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Institut Bergonié [Bordeaux], and Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Oncology, medicine.medical_specialty, Pathology, Radiofrequency ablation, Angiogenesis, medicine.medical_treatment, Lung metastasis, [SDV.CAN]Life Sciences [q-bio]/Cancer, 010103 numerical & computational mathematics, 01 natural sciences, law.invention, Lesion, 03 medical and health sciences, Tumor growth modeling, 0302 clinical medicine, law, Internal medicine, medicine, [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], Tumor growth, 0101 mathematics, Clinical data assimilation, Chemotherapy, business.industry, Partial Differential Equations, Patient specific, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 030220 oncology & carcinogenesis, Clinical case, Medical imaging, medicine.symptom, business
Abstract

In this paper, a parametrization strategy based on reduced order methods is presented for tumor growth PDE models. This is applied to a new simple spatial model for lung metastasis including angiogenesis. The goal is to help clinicians monitoring tumors and eventually predicting their evolution or response to a particular kind of treatment. To illustrate the whole approach, a clinical case including the natural history of the lesion, the response to a chemotherapy, and the relapse before a radiofrequency ablation is presented.

Published
2015