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Article Publish Status: FREE
Abstract Title:

Systemic Immune-inflammation Index Predicts Survival of Patients After Curative Resection for Non-small Cell Lung Cancer.

Abstract Source:

In Vivo. 2018 May-Jun;32(3):663-667. PMID: 29695576

Abstract Author(s):

Masaki Tomita, Takanori Ayabe, Ryo Maeda, Kunihide Nakamura

Article Affiliation:

Masaki Tomita

Abstract:

BACKGROUND: The systemic immune-inflammation index (SII) is reported to be associated with clinical outcomes and has been proven to be a promising prognostic indicator in several solid tumor types. To the best of our knowledge, however, no studies regarding SII in patients with resectable non-small cell lung cancer (NSCLC) are available.

MATERIALS AND METHODS: Three hundred forty-one patients with NSCLC who underwent surgery at our Institution between 2008 and 2012 were included. The SII was calculated using the formula: platelet count× neutrophil/lymphocyte count. The optimal cut-off value was calculated using the Cutoff Finder (http://molpath.charite.de/cutoff). Univariate and multivariate analyses were calculated by the Cox proportional hazards regression model.

RESULTS: The optimal cut-off value was 471.2×109/l for SII. A low SII was associated with female gender, never smoking status, adenocarcinoma histology, higher pathological TNM stage and low level of serum C-reactive protein, but not age, serum carcinoembryonic antigen or cytokeratin 19 fragment level. Patients of the low SII group had a significantly better 5-year overall survival than those with high SII (83.61% vs. 60.39%, p<0.001). Multivariate analysis revealed that the SII was a significant independent predictive indicator for cancer-specific survival (p=0.007).

CONCLUSION: This is the first study to demonstrate that the SII could represent an independent prognostic factor for patients with resectable NSCLC.

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