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Microenvironment and tumor inflammatory features improve prognostic prediction in gastro-entero-pancreatic neuroendocrine neoplasms.
Milione, Massimo; Miceli, Rosalba; Barretta, Francesco; Pellegrinelli, Alessio; Spaggiari, Paola; Tagliabue, Giovanna; Centonze, Giovanni; Paolino, Cinzia; Mangogna, Alessandro; Kankava, Ketevani; Pusceddu, Sara; Giacomelli, Luca; Corti, Ambra; Cotsoglou, Christian; Mazzaferro, Vincenzo; Sozzi, Gabriella; de Braud, Filippo; Pruneri, Giancarlo; Anichini, Andrea.
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  • Milione M; Department of Pathology and Laboratory Medicine, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Miceli R; Medical Statistics, Biometry and Bioinformatics, Unit of Clinical Epidemiology and Trial Organization, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Barretta F; Medical Statistics, Biometry and Bioinformatics, Unit of Clinical Epidemiology and Trial Organization, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Pellegrinelli A; Department of Pathology and Laboratory Medicine, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Spaggiari P; Department of Pathology, ASST Franciacorta, Mellino Mellini Hospital, Chiari, Brescia, Italy.
  • Tagliabue G; Department of Pathology, Cancer Center Humanitas Research Hospital, Milan, Italy.
  • Centonze G; Cancer Registry Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Paolino C; Department of Pathology and Laboratory Medicine, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Mangogna A; Department of Pathology and Laboratory Medicine, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Kankava K; Department of Research, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Pusceddu S; Unit of Pathology, Clinical Department of Medical, Surgical and Health Science, University of Trieste, Ospedale di Cattinara, Trieste, Italy.
  • Giacomelli L; Teaching, Scientific and Diagnostic Pathology Laboratory, Tbilisi State Medical University, Tbilisi, Georgia.
  • Corti A; Medical Oncology Department, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Cotsoglou C; Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.
  • Mazzaferro V; Polistudium SRL, Milan, Italy.
  • Sozzi G; Polistudium SRL, Milan, Italy.
  • de Braud F; Hepato-Bilio-Pancreatic Surgery and Liver Transplantation, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Pruneri G; Hepato-Bilio-Pancreatic Surgery and Liver Transplantation, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • Anichini A; Department of Research, Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
J Pathol Clin Res ; 5(4): 217-226, 2019 10.
Article en En | MEDLINE | ID: mdl-31136102
ABSTRACT
Microenvironment-related immune and inflammatory markers, when combined with established Ki-67 and morphology parameters, can improve prognostic prediction in gastro-entero-pancreatic neuroendocrine neoplasms (GEP-NENs). Therefore, we evaluated the prognostic value of microenvironment and tumor inflammatory features (MoTIFs) in GEP-NENs. For this purpose, formalin-fixed paraffin-embedded tissue sections from 350 patients were profiled by immunohistochemistry for immune, inflammatory, angiogenesis, proliferation, NEN-, and fibroblast-related markers. A total of 314 patients were used to generate overall survival (OS) and disease-free survival (DFS) MoTIFs prognostic indices (PIs). PIs and additional variables were assessed using Cox models to generate nomograms for predicting 5-year OS and DFS. A total of 36 patients were used for external validation of PIs and nomograms' prognostic segregations. From our analysis, G1/G2 versus G3 GEP-NENs showed phenotypic divergence with immune-inflammatory markers. HLA, CD3, CD8, and PD-1/PD-L1 IHC expression separated G3 into two sub-categories with high versus low adaptive immunity-related features. MoTIFs PI for OS based on COX-2Tumor(T) > 4, PD-1Stromal(S) > 0, CD8S < 1, and HLA-IS < 1 was associated with worst survival (hazard ratio [HR] 2.50; 95% confidence interval [CI], 2.12-2.96; p < 0.0001). MoTIFs PI for DFS was based on COX-2T > 4, PD-1S > 4, HLA-IS < 1, HLA-IT < 2, HLA-DRS < 6 (HR 1.77; 95% CI, 1.58-1.99; p < 0.0001). Two nomograms were developed including morphology (HR 4.83; 95% CI, 2.30-10.15; p < 0.001) and Ki-67 (HR 11.32; 95% CI, 5.28-24.24; p < 0.001) for OS, and morphology (PI = 0 HR 10.23; 95% CI, 5.67-18.47; PI = 5 HR 2.87; 95% CI, 1.21-6.81; p < 0.001) and MoTIFs PI for DFS in well-differentiated GEP-NENs (HR 6.21; 95% CI, 2.52-13.31; p < 0.001). We conclude that G1/G2 to G3 transition is associated with immune-inflammatory profile changes; in fact, MoTIFs combined with morphology and Ki-67 improve 5-year DFS prediction in GEP-NENs. The immune context of a subset of G3 poorly differentiated tumors is consistent with activation of adaptive immunity, suggesting a potential for responsiveness to immunotherapy targeting immune checkpoints.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Neoplasias Gástricas / Tumores Neuroendocrinos / Microambiente Tumoral / Neoplasias Intestinales Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Pathol Clin Res Año: 2019 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Neoplasias Gástricas / Tumores Neuroendocrinos / Microambiente Tumoral / Neoplasias Intestinales Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Pathol Clin Res Año: 2019 Tipo del documento: Article País de afiliación: Italia