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            <funder>The authors would like to thank the PlanCancer from the National Cancer Institute (INCA) and the National Institute of Health and Medical Research (INSERM) for financial support of this project (MetaSys grant to A.B and T.C). L.C,(Post-doctoral fellowship) and E.B. (PhD Fellowship) were supported by the MetaSys Grant. This work is part of the PhD thesis project of E.B.  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).</funder>
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              <p>To improve our understanding of the biology of the metastatic colonization process, weconducted a modelling study based on multi-modal data from an orthotopic murine experimentalsystem of metastatic renal cell carcinoma. The standard theory of metastatic colonization usuallyassumes that secondary tumours, once established at a distant site, grow independently from eachother and from the primary tumour. Using a mathematical model describing the metastaticpopulation dynamics under this assumption, we challenged the theory against our data thatincluded: 1) dynamics of primary tumour cells in the kidney and metastatic cells in the lungs,retrieved by green fluorescent protein tracking, and 2) magnetic resonance images (MRI) informingon the number and size of macroscopic lesions. While the model could fit the primary tumour andtotal metastatic burden, the predicted size distribution was not in agreement with the MRIobservations. Moreover, the model was incompatible with the growth rates of individual metastatictumours.To explain the observed metastatic patterns, we hypothesised that metastatic foci derivedfrom one or a few cells could aggregate, resulting in a similar total mass but a smaller number ofmetastases. This was indeed observed in our data and led us to investigate the effect of spatialinteractions on the dynamics of the global metastatic burden. We derived a novel mathematicalmodel for spatial tumour growth, where the intra-tumour increase in pressure is responsible for theslowdown of the growth rate. The model could fit the growth of lung metastasis visualized bymagnetic resonance imaging. As a non-trivial outcome from this analysis, the model predicted thatthe net growth of two neighbouring tumour lesions that enter in contact is considerably impaired (of31% ± 1.5%, mean ± standard deviation), as compared to the growth of two independent tumours.Together, our results have implications for theories of metastatic development and suggest thatglobal dynamics of metastasis development is dependent on spatial interactions between metastaticlesions.</p>
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              <addrLine>229, cours de l'Argonne - 33076 Bordeaux</addrLine>
              <country key="FR"/>
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            <ref type="url">https://www.bergonie.fr/</ref>
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          <listRelation>
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        <org type="regroupinstitution" xml:id="struct-502406" status="VALID">
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              <addrLine>101, rue de Tolbiac, 75654 Paris Cedex 13</addrLine>
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              <country key="FR"/>
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            <ref type="url">http://www.inria.fr/bordeaux/</ref>
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              <addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
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            <ref type="url">http://www.inria.fr/en/</ref>
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        <org type="institution" xml:id="struct-92972" status="VALID">
          <orgName>Université Sciences et Technologies - Bordeaux 1</orgName>
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              <addrLine>351 cours de la Libération - 33405 Talence.</addrLine>
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          <orgName>Institut National de la Santé et de la Recherche Médicale</orgName>
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            <address>
              <addrLine>101, rue de Tolbiac, 75013 Paris</addrLine>
              <country key="FR"/>
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            <ref type="url">http://www.inserm.fr</ref>
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</TEI>