The Journal of Pathology: Clinical Research (Oct 2019)

Microenvironment and tumor inflammatory features improve prognostic prediction in gastro‐entero‐pancreatic neuroendocrine neoplasms

  • Massimo Milione,
  • Rosalba Miceli,
  • Francesco Barretta,
  • Alessio Pellegrinelli,
  • Paola Spaggiari,
  • Giovanna Tagliabue,
  • Giovanni Centonze,
  • Cinzia Paolino,
  • Alessandro Mangogna,
  • Ketevani Kankava,
  • Sara Pusceddu,
  • Luca Giacomelli,
  • Ambra Corti,
  • Christian Cotsoglou,
  • Vincenzo Mazzaferro,
  • Gabriella Sozzi,
  • Filippo deBraud,
  • Giancarlo Pruneri,
  • Andrea Anichini

DOI
https://doi.org/10.1002/cjp2.135
Journal volume & issue
Vol. 5, no. 4
pp. 217 – 226

Abstract

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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 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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