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Published on: November 19, 2019
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A Systematic Inflammation-based Model in Advanced Pancreatic Ductal Adenocarcinoma
Li-Xia Wu1,2, Xiao-Yong Wang3, Ke-Qun Xu4
1Department of Oncology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Pujian Road 160, Shanghai 200127, China.
Journal of Cancer
|November 29, 2019
Summary
This study developed a nomogram using inflammatory markers to predict survival in advanced pancreatic cancer patients. The tool demonstrated superior accuracy compared to current staging, aiding treatment decisions.
Area of Science:
- Oncology
- Inflammation Research
- Biomarker Discovery
Background:
- Systemic inflammation plays a critical role in pancreatic ductal adenocarcinoma (PDAC) progression.
- Accurate prognostic tools are essential for managing advanced PDAC.
Purpose of the Study:
- To develop and validate a prognostic nomogram for advanced PDAC based on inflammatory biomarkers.
- To compare the nomogram's predictive performance against the AJCC TNM staging system.
Main Methods:
- Retrospective analysis of 279 advanced PDAC patients (147 training, 132 validation).
- Cox regression identified independent prognostic factors: distant metastasis, CA19-9, GPS, NLR, and LMR.
- A nomogram was constructed and validated for predicting survival probabilities.
Main Results:
- The nomogram demonstrated superior discrimination (C-index 0.727 training, 0.784 validation) versus AJCC TNM staging (C-index 0.610).
- Patients with higher nomogram total points (NTP > 175) receiving combination therapy showed improved prognosis over monotherapy (P=0.015).
Conclusions:
- A nomogram incorporating inflammatory biomarkers is a valuable prognostic tool for advanced PDAC.
- Patients with high NTP may benefit more from combination chemotherapy than monotherapy.
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