Adapted systemic inflammation score as a novel prognostic marker for esophageal squamous cell carcinoma patients.
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ABSTRACT: Background
The adapted systemic inflammation score (aSIS), calculated from serum albumin and the lymphocyte-to-monocyte ratio, has been reported to be a novel prognostic marker for some types of cancers. However, the prognostic impact of aSIS in patients with esophageal squamous cell carcinoma (ESCC) remains controversial. This study aimed to examine the prognostic effects of aSIS in a large cohort of 509 ESCC patients.Methods
Preoperative aSIS was retrospectively calculated for 509 ESCC patients who underwent curative resection. Time-dependent receiver operating characteristics (t-ROC) curves were used for comparing the prognostic impact.Results
Patients with high aSIS showed significantly poorer overall survival (OS) than patients with low aSIS (log rank P < .001). The multivariate analysis revealed that aSIS was an independent prognostic factor for overall survival (multivariate hazard ratio 1.76; 95% confidence interval 1.13-2.75; P = .013). The t-ROC analysis showed that aSIS was more sensitive than other nutritional prognostic factors (controlling for nutritional status, systemic inflammation score, and the neutrophil-to-lymphocyte ratio).Conclusion
Preoperative aSIS may be a useful prognostic biomarker in ESCC patients who underwent curative resection.
SUBMITTER: Nomoto D
PROVIDER: S-EPMC8452479 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundThe aim of this study was to assess the prognostic significance of preoperative systemic inflammation score (SIS) on patients with esophageal squamous cell carcinoma (ESCC).MethodsA total of 357 ESCC patients who accepted radical esophagectomy between January 2008 and December 2009 at our institution were recruited in the analysis. The cut-off finder application was used to calculate the optimal cutoff values. The Chi-squared test or Fisher's exact test were used to analyze categorical variables. Overall survival (OS) was calculated using the Kaplan-Meier method and the log-rank test. Multivariate analysis was calculated using Cox regression analysis model. A model combining SIS was created and its performance was evaluated using the Akaike information criterion (AIC) and concordance index (C-index).ResultsThe median follow-up time was 58 months (range, 1-84 months). The 5-year OS rate was 50% (95% CI, 49.94-50.06%). The optimal cut-off values for preoperative neutrophil to lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and serum albumin (Alb) were 2.27, 3.79 and 36.55, respectively. Univariate analyses revealed that gender (P = 0.047), T stage (P < 0.001), N stage (P < 0.001), vascular invasion (P < 0.001), tumor location (P = 0.018), tumor length(P < 0.001), NLR (P = 0.006), LMR (P = 0.007), serum Alb (P = 0.001), and SIS (P < 0.001) were significantly associated with OS. Independent prognostic factors for OS were T stage, N stage, tumor location, tumor length, and SIS. However, NLR was not an independent prognostic factor in multivariate analysis. The model combining SIS had smaller AIC and higher C-index compared to the model without SIS, which suggesting that the adding the SIS to the multivariate model increasing the predictive accuracy of the OS in the ESCC patients treated with radical esophagectomy and 3-field lymphadenectomy (3-FL).ConclusionsSIS may treat as a novel prognostic factor than NLR for ESCC patients who underwent radical esophagectomy and 3-FL. However, Larger-scale studies are needed to validate these findings.
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