Dataset Information


Prognostic Value of an Inflammation-Related Index in 6,865 Chinese Patients With Postoperative Digestive Tract Cancers: The FIESTA Study.

ABSTRACT: Objectives: We sought to determine the optimal cutting points for two inflammatory biomarkers, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), to assess their prognostic value in patients with postoperative digestive tract cancers overall and by cancer sites, and further to construct an inflammation-related index based on the two biomarkers and assess its predictive performance. Methods: Total 6,865 assessable patients with digestive tract cancers who underwent tumor resection were consecutively enrolled from Fujian Cancer Hospital between January 2000 and December 2010, including 2535/3012/1318 patients with esophageal/gastric/colorectal cancer. The latest follow-up (median: 44.9 months) ended in December 2015. Optimal cutting points were determined using survival tree analysis overall and by cancer sites. Results: Among all study patients, the optimal cutting points were 2.07 and 168.50 to define high and low NLR and PLR, respectively. High NLR (hazard ratio [HR]: 1.48, 95% confidence interval [CI]: 1.37-1.61) and high PLR (HR: 1.41, 95% CI: 1.29-1.53) were associated with a significantly increased risk for the mortality of digestive tract cancers as a whole. By cancer sites, effect-size estimates were comparable and statistically significant. Elevation over the selected optimal cutting points for both NLR and PLR was associated with 1.69-fold increased risk of cancer-specific mortality compared to patients with simultaneously low NLR and PLR among all study patients, and this association persisted by cancer sites, especially for gastric cancer. Conclusions: Our findings demonstrate that the preoperative integrated NLR and PLR, as an inflammation-related index, is a significant independent predictor for postoperative mortality in Chinese patients with digestive tract cancers both overall and by cancer sites.


PROVIDER: S-EPMC6538942 | BioStudies | 2019-01-01

REPOSITORIES: biostudies

Similar Datasets

2019-01-01 | S-EPMC6547984 | BioStudies
1000-01-01 | S-EPMC5546522 | BioStudies
2015-01-01 | S-EPMC4647546 | BioStudies
2020-01-01 | S-EPMC7245911 | BioStudies
2020-01-01 | S-EPMC7422564 | BioStudies
2017-01-01 | S-EPMC5431463 | BioStudies
2020-01-01 | S-EPMC7049207 | BioStudies
1000-01-01 | S-EPMC6310546 | BioStudies
1000-01-01 | S-EPMC5386647 | BioStudies
1000-01-01 | S-EPMC5711862 | BioStudies