Value of markers of systemic inflammation for the prediction of postoperative progression in patients with pancreatic neuroendocrine tumors
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Summary
This summary is machine-generated.Systemic inflammation markers, particularly the lymphocyte to monocyte ratio (LMR), can predict tumor progression in patients with pancreatic neuroendocrine tumors (PNETs). Elevated NLR and PLR, and low LMR, correlate with poorer outcomes, with LMR being an independent predictor of progression-free survival.
Area Of Science
- Oncology
- Internal Medicine
- Surgical Oncology
Background
- Pancreatic neuroendocrine tumors (PNETs) are rare neoplasms.
- Non-invasive prognostic markers for PNETs are currently limited.
- Systemic inflammatory responses may influence PNET progression.
Purpose Of The Study
- To evaluate the prognostic value of preoperative systemic inflammatory markers in patients with PNETs.
- To assess the correlation between inflammatory markers and tumor progression.
- To identify predictors of progression-free survival in PNET patients.
Main Methods
- Retrospective analysis of clinical data from 174 PNET patients undergoing surgery.
- Evaluation of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and platelet to white blood cell ratio (PWR).
- Utilized ROC analysis for optimal cutoff values and Cox proportional hazards models for survival analysis.
Main Results
- Higher NLR and PLR, and lower LMR, were observed in patients with tumor progression.
- Optimal cutoff values were identified for NLR (2.28), LMR (4.36), and PLR (120.91).
- Low LMR and high NLR/PLR were associated with increased tumor progression and reduced progression-free survival (PFS).
- Multivariate analysis confirmed LMR as an independent predictor of PFS (HR=3.128, P=0.031).
Conclusions
- Systemic inflammatory markers, especially LMR, can predict postoperative progression in PNETs.
- LMR emerges as a valuable non-invasive prognostic indicator for PNET patients.
- These findings may aid in risk stratification and management of PNETs.

