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Inflammation-Based Prognostic Scores in Pancreatic Cancer Patients—A Single-Center Analysis of 1294 Patients within the Last Decade.

Authors :
Neumann, Christopher C. M.
Schneider, François
Hilfenhaus, Georg
Vecchione, Loredana
Felsenstein, Matthäus
Ihlow, Jana
Geisel, Dominik
Sander, Steffen
Pratschke, Johann
Stintzing, Sebastian
Keilholz, Ulrich
Pelzer, Uwe
Source :
Cancers. Apr2023, Vol. 15 Issue 8, p2367. 12p.
Publication Year :
2023

Abstract

Simple Summary: Inflammation markers such as the neutrophil to lymphocyte ratio (NRL), the platelet to lymphocyte ratio (PLR), the lymphocyte to monocyte ratio (LMR) and the CRP to albumin ratio (CAR) have recently gained attention due to their potential as prognostic scores for overall survival (OS) in pancreatic cancer. So far, these parameters have not been validated in a larger cohort to predict OS in terms of potential recurrence after curative intended resection or in terms of patient response to chemotherapy. In the largest single-center analysis of 1294 patients, inflammation markers were compared and a new highly significant combined score, termed the inflammatory benchmark index (IBI), comprising five inflammatory markers was developed. In multivariate analyses NLR (p = 0.001), LMR (p = 0.038), CAR (p < 0.001) and IBI (p < 0.001) were identified as independent prognostic markers for overall survival. Inflammatory properties are known to promote tumor progression leading to an impaired median overall survival (mOS). Various small studies have focused on a wide range of inflammation-based prognostic indicators. By using sufficient data from 1294 out of 2323 patients diagnosed with pancreatic cancer between 2009 and 2021 at our cancer center, inflammatory markers such as the neutrophil to lymphocyte ratio (NRL), the platelet to lymphocyte ratio (PLR), the lymphocyte to monocyte ratio (LMR) and the CRP to albumin ratio (CAR) were evaluated. We identified a new combined score, termed the inflammatory benchmark index (IBI). We performed univariate and multivariate overall survival analyses and identified optimal prognostic cut-off values for each parameter. In univariate analyses, advanced age (p < 0.001), gender (p < 0.001), tumor stage (p < 0.001), CA19-9 (p = 0.001), NLR (p = 0.001), LMR (p = 0.004), PLR (p = 0.004), CAR (p = 0.001) and IBI (p = 0.001) were identified as prognostic markers. In multivariate analyses advanced age (p < 0.001), gender (p = 0.001), tumor stage (p < 0.001), CA19-9 (p < 0.001), NLR (p = 0.001), LMR (p = 0.038), CAR (p < 0.001) and IBI (p < 0.001) were independent prognostic markers. These findings emphasize the impact of inflammation in pancreatic cancer, provide easily accessible prognostic values for the clinician, and may be useful as stratification parameters for trials aimed at patient inflammation or immune response. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726694
Volume :
15
Issue :
8
Database :
Academic Search Index
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
163389626
Full Text :
https://doi.org/10.3390/cancers15082367