Development and Validation of an Inflammation-Combined Prognostic Index (ICPI)-Based Nomogram for Predicting Overall Survival in Gastric Cancer
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View abstract on PubMed
Summary
This summary is machine-generated.A new inflammation marker, the inflammation-combined prognostic index (ICPI), combines NLR, PLR, and MLR to predict gastric cancer survival. This integrated marker and its nomogram accurately forecast overall survival (OS) in gastric cancer patients.
Area Of Science
- Oncology
- Inflammatory Markers
- Prognostic Indices
Background
- Gastric cancer (GC) prognosis is complex.
- Novel biomarkers are needed for accurate survival prediction.
- Inflammatory markers like NLR, PLR, and MLR show prognostic value.
Purpose Of The Study
- To investigate the correlation between the novel inflammation-combined prognostic index (ICPI) and GC clinicopathological features.
- To assess the association of ICPI with overall survival (OS) in GC patients.
- To develop and validate a predictive model for GC OS using ICPI.
Main Methods
- Retrospective analysis of 876 GC patients' data.
- Propensity score matching (PSM) to control for confounders.
- Development and validation of a nomogram for OS prediction based on regression analyses and ICPI.
Main Results
- Elevated NLR, PLR, MLR, and ICPI were significantly associated with poor prognosis in GC.
- ICPI, T-stage, LNR, and primary site identified as independent risk factors for OS.
- The ICPI-based nomogram demonstrated high predictive accuracy (C-indexes 0.8 and 0.743) for 1-, 3-, and 5-year OS.
Conclusions
- The inflammation-combined prognostic index (ICPI) effectively integrates NLR, PLR, and MLR.
- The ICPI-based nomogram provides an accurate and validated tool for predicting GC patient survival.
- This tool can aid in clinical decision-making and patient management for gastric cancer.
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