Medical College of Wisconsin
CTSICores SearchResearch InformaticsREDCap

PLR and NLR Are Poor Predictors of Survival Outcomes in Sarcomas: A New Perspective From the USSC. J Surg Res 2020 Jul;251:228-238

Date

03/17/2020

Pubmed ID

32172009

Pubmed Central ID

PMC7765565

DOI

10.1016/j.jss.2020.01.008

Scopus ID

2-s2.0-85081277681 (requires institutional sign-in at Scopus site)   18 Citations

Abstract

BACKGROUND: Elevations in inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte ratio (PLR), are reportedly associated with decreased overall survival (OS) or recurrence-free survival (RFS) in patients with numerous cancers. A large multicenter sarcoma data set was used to determine if elevated NLR or PLR was associated with worse survival and can guide treatment selection.

MATERIALS AND METHODS: A total of 409 patients with a primary retroperitoneal sarcoma (n = 268) or truncal (n = 141) sarcoma from 2000 to 2015 were analyzed using the US Sarcoma Collaboration database. Binary NLR and PLR values were developed using receiver operating characteristic curves. Kaplan-Meier model and Cox proportional hazards model identified predictors of decreased OS and RFS. Point biserial analyses were used to correlate binary and continuous data.

RESULTS: Neither elevated NLR nor PLR was predictive of decreased OS or RFS. These findings persisted despite exclusion of comorbid inflammatory conditions. Further, NLR and PLR were not correlated with tumor grade. In multivariate models, decreased RFS was associated with tumor factors (e.g., positive margins, tumor grade, tumor size, necrosis, positive nodes); decreased OS was associated with histologic subtype, male gender, and nodal involvement.

CONCLUSIONS: Although several small studies have suggested that elevated NLR and PLR are associated with decreased survival in patients with abdominal or truncal sarcoma, this large multicenter study demonstrates no association with decreased OS, decreased RFS, or tumor grade. Rather, survival outcomes are best predicted using previously established tumoral factors.

Author List

Schwartz PB, Poultsides G, Roggin K, Howard JH, Fields RC, Clarke CN, Votanopoulos K, Cardona K, Winslow ER

Author

Callisia N. Clarke MD Chief, Associate Professor in the Surgery department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Aged
Biomarkers
Female
Humans
Lymphocyte Count
Male
Middle Aged
Retroperitoneal Neoplasms
Retrospective Studies
Sarcoma
United States