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Erschienen in: Clinical and Translational Oncology 7/2019

18.12.2018 | Brief Research Article

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

verfasst von: M. J. Fernández Aceñero, J. Martínez-Useros, L. Díez-Valladares, S. García-Botella, L. Ortega Medina, E. Pérez Aguirre, S. de la Serna Esteban, E. Latorre, L. Neelsen

Erschienen in: Clinical and Translational Oncology | Ausgabe 7/2019

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Abstract

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.
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Metadaten
Titel
Still a place for conventional histopathological analysis in the era of molecular medicine: predicting prognosis of resectable ductal pancreatic adenocarcinoma
verfasst von
M. J. Fernández Aceñero
J. Martínez-Useros
L. Díez-Valladares
S. García-Botella
L. Ortega Medina
E. Pérez Aguirre
S. de la Serna Esteban
E. Latorre
L. Neelsen
Publikationsdatum
18.12.2018
Verlag
Springer International Publishing
Erschienen in
Clinical and Translational Oncology / Ausgabe 7/2019
Print ISSN: 1699-048X
Elektronische ISSN: 1699-3055
DOI
https://doi.org/10.1007/s12094-018-02008-4

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