Aryl hydrocarbon receptor interacting protein (AIP) significantly influences prognosis of pancreatic carcinoma.

INTRODUCTION: Aryl hydrocarbon receptor (AHR) is a ligand-activated transcription factor. Aryl hydrocarbon receptor interacting protein (AIP) in one of AHR ligands. The aim of this study is to analyze the prognostic influence of AIP in pancreatic carcinoma. MATERIAL AND METHODS: Retrospective case series with immunohistochemical analysis of AIP. We have estimated a multivariate Cox's model for the outcome (progression free and overall survival). RESULTS: 204 patients were included in the study. As expected prognosis was poor and 67.8% died of disease. As for AIP 9.8% of the cases showed nuclear staining of the epithelial tumor cells and 59.4% a cytoplasmic one. Stroma was stained in 53.1% of the cases. Univariate survival analysis revealed a significantly worse prognosis of patients with cytoplasmic AIP expression (stroma and epithelium), but nuclear expression was associated to a better prognosis. In the multivariate analysis stromal AIP expression was an independent prognosticator of progression free survival, together with pT stage, histological grade and history of diabetes. DISCUSSION: AIP Is a conserved cochaperone protein binding to many proteins. AIP has been proposed as a potential tumor suppressor gene. To date, no study has analyzed the immunohistochemical expression of AIP in pancreatic carcinoma. Our results indicate that both epithelial and stromal cytoplasmic expression of AIP is associated to bad prognosis, while nuclear translocation seems to improve prognosis. CONCLUSION: Although we must deepen into the complex signaling pathways underlying this potential association, our results open a way to inhibiting AHR as a potential target against pancreatic carcinoma.

Still a place for conventional histopathological analysis in the era of molecular medicine: predicting prognosis of resectable ductal pancreatic adenocarcinoma.

INTRODUCTION: Our aim is to find features that define prognosis in surgically resected ductal pancreatic adenocarcinoma readily accessible in everyday practice. MATERIALS AND METHODS: Longitudinal retrospective case series of pancreatic adenocarcinoma operated with a curative intent in a large tertiary hospital in Madrid between 2009 and 2015. RESULTS: 162 were enrolled. 40.8% survived less than 1 year. Multivariate Cox's regression model revealed that gender, presence of symptoms, T and N stage independently influenced progression-free survival, while overall survival was determined by gender, smoking, presence of symptoms and N stage. Logistic regression analysis revealed that only symptoms at diagnosis could predict death, while gender, symptoms, histopathological type, vessel invasion, T stage and necrosis could independently predict recurrence. DISCUSSION: Our series show that patients with symptomatic disease at the time of diagnosis and females showed a shorter progression-free and overall survival. We herein propose a regression model to predict outcome.