Systemic Inflammation-Immune Status Predicts Survival in Stage III-N2 Non-Small Cell Lung Cancer
Jianyang Wang1, Zhouguang Hui2, Yu Men2
1Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China.
Background:
Systematic inflammation-immune status has been thought to play a crucial role in tumorigenesis and progress. This study evaluated the prognostic value of systematic inflammation-immune status in patients with resected non-small cell lung cancer with pathological N2 nodal involvement (pN2-NSCLC).
Methods:
The relation between the preoperative systematic inflammation-immune score (SIS), defined as preoperative peripheral platelet count × neutrophil count/lymphocyte count, and prognosis was tested in a retrospective study of 660 consecutive patients with completed resected pN2-NSCLC and validated by a prospective study of 189 patients enrolled (NCT00880971).
Results:
SIS of 650 × 109 was an optimal cutoff point to stratify the patients with pN2-NSCLC into high (>650 × 109) and low (≤650 × 109) SIS groups in the training cohort. Univariate and multivariate analyses revealed that the SIS was an independent predictor for overall survival, disease-free survival, and distant metastasis-free survival. In the validation group, high SIS (>650 × 109) predicted poor 5-year overall survival (hazard ratio [HR], 2.418; P = .006), disease-free survival (HR, 1.542; P = .042), and distant metastasis-free survival (HR, 1.682; P = .024). In addition to the number of positive lymph nodes, the area under the receiver operating characteristic curve of the SIS for outcomes was higher than the neutrophil count-to-lymphocyte count ratio, platelet count-to-lymphocyte count ratio, and other conventional clinicopathologic indices.
Conclusions:
The preoperative SIS is a more sensitive survival predictor than most of the other conventional clinical indices and may aid in more accurately stratifying patients for risk assessment and treatment decision.
More Related Videos
Related Concept Videos
Cancer Survival Analysis
Inflammation
Predicting Molecular Geometry
What is the Immune System?
Survival Tree
Building a Survival Tree
Constructing a...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...


