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Mouna Trabelsi,1,2 Faten Farah,1 Bechir Zouari,3 Mohamed Habib Jaafoura,4 Maher Kharrat1 1Department of Human Genetic (LR99ES10), Faculty of Medicine, University of Tunis El Manar, Tunis 1006, Tunisia; 2Faculty of Sciences, University of Tunis El Manar, Foyer Universitaire, Tunis 2092, Tunisia; 3Department of Preventive Medicine, Faculty of Medicine, University of Tunis El Manar, Tunis 1006, Tunisia; 4Department of Anatomopathology, Faculty of Medicine, University of Tunis El Manar, Tunis 1006, TunisiaCorrespondence: Mouna TrabelsiDepartment of Human Genetic (LR99ES10), Faculty of Medicine, University of Tunis El Manar, 15 Rue Djebel Lakhdhar, Tunis 1006, TunisiaTel +216 51 008 770Email mounatrabelsi@yahoo.frPurpose: The aim of this study was to evaluate the Immunoscore (IS) methodology as a prognostic marker of colorectal adenocarcinoma in Tunisian population. Tumor blocks were retrospectively collected from 106 patients with sporadic colorectal cancer.Methods: Immunohistochemical staining and images analysis software were used to quantify the density of CD3+ and CD8+ tumor-infiltrating lymphocytes in the center of the tumor and invasive margin.Results: The density of CD3+ and CD8+ was significantly associated with 5-year overall survival (P=0.001 and P=0.00098, respectively) and 5-year disease-free survival (P=0.0006 and P=0.0056, respectively). The earlier stage and the absence of vascular emboli showed a significant association with IS analysis. Cox multivariate regression analysis revealed that Immunoscore (from I0 to I4) was more significantly correlated with overall survival (P=0.00011) and disease-free survival (P=0.0008) than Tumor-Node-Metastasis (TNM) staging (P=0.057 and P=0.039, respectively). Patients with low IS were associated with inferior disease-free survival and overall survival, contrary to patients with high IS.Conclusion: This is the first study which evaluated the prognostic value of IS methodology in colorectal cancer in African and Arabic population. The IS methodology carries out in this study allows to estimate the risk of relapse in patients with colorectal cancer. Overall, our results support the implementation of the consensus Immunoscore as a new component for the classification of cancer, designated TNM-Immune.Keywords: colorectal cancer, immunoscore, AJCC/TNM-classification, tumor-infiltrating lymphocytes, digital pathology, immunotherapy

Colloque avec actes et comité de lecture. Internationale.; International audience; A constitutive model of viscous behaviour of short-fibre reinforced composites (SFRC) where complex distributions of fibre orientations are taken into account is proposed in this work. The approach considered for the computation of composite macroscopic behaviour is based on an additive decomposition of the state potential. The SFRC is assimilated to an assembly of several fibre media embedded in a polymeric matrix medium. One of the main assets of this approach is the possibility to model reinforcement with complex distributions of fibre orientations. Moreover, this decomposition allows the implementation of complex behaviour laws coupled with damage models. The polymeric matrix behaviour is typically strain-rate sensitive, i.e. viscoelastic-viscoplastic. This property has to be taken into account when the modelling of the composite behaviour over a large range of strain rate is intended. Therefore, a viscoelastic constitutive model, based on a generalised Maxwell model, and a viscoplastic correction scheme, based on an overstress approach, are implemented for matrix material. The developed constitutive model is then coupled to two damage laws. The first one is introduced in the framework of Continuum Damage Mechanics in order to model the ductile damage behaviour of the matrix material. The second one deals with fibre/matrix interfacial degradation through an interfacial debonding law. In order to identify the parameters involved in the present model, experimental tests are performed (case of polypropylene reinforced with short glass fibres). Micro-computed tomography is used for the characterisation of the fibres distribution of orientation. The efficiency of the proposed model is demonstrated by comparisons between numerical and experimental responses in different loading conditions, including dynamic loadings.

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