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Li J, Li B, Zhou P, et al. Nomograms for prognostic factors of spinal giant cell tumor combining traditional clinical characteristics with inflammatory biomarkers after gross total resection. Oncotarget. 2017;8(49):86934-86946doi: 10.18632/oncotarget.21168.
Li, J., Li, B., Zhou, P., Zhao, J., Wu, Z., Yang, X., Wei, H., Chen, T., & Xiao, J. (2017). Nomograms for prognostic factors of spinal giant cell tumor combining traditional clinical characteristics with inflammatory biomarkers after gross total resection. Oncotarget, 8(49), 86934-86946. https://doi.org/10.18632/oncotarget.21168
Li, Jialin, et al. "Nomograms for prognostic factors of spinal giant cell tumor combining traditional clinical characteristics with inflammatory biomarkers after gross total resection." Oncotarget vol. 8,49 (2017): 86934-86946. doi: https://doi.org/10.18632/oncotarget.21168
Li J, Li B, Zhou P, Zhao J, Wu Z, Yang X, Wei H, Chen T, Xiao J. Nomograms for prognostic factors of spinal giant cell tumor combining traditional clinical characteristics with inflammatory biomarkers after gross total resection. Oncotarget. 2017 Sep 22;8(49):86934-86946. doi: 10.18632/oncotarget.21168. eCollection 2017 Oct 17. PMID: 29156848; PMCID: PMC5689738.
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Oncotarget. 2017 Sep 22;8(49):86934-86946. doi: 10.18632/oncotarget.21168. eCollection 2017 Oct 17.

Nomograms for prognostic factors of spinal giant cell tumor combining traditional clinical characteristics with inflammatory biomarkers after gross total resection.

Oncotarget

Jialin Li, Bo Li, Pingting Zhou, Jian Zhao, Zhipeng Wu, Xinghai Yang, Haifeng Wei, Tianrui Chen, Jianru Xiao

Affiliations

  1. Department of Bone Tumor Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
  2. Department of Oncology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

PMID: 29156848 PMCID: PMC5689738 DOI: 10.18632/oncotarget.21168

Abstract

Giant cell tumor (GCT) of bone is a common primary bone tumor, which exhibits local aggressiveness and recurrent potential, especially for the spinal lesion. Increasing evidence indicates that inflammation plays a vital role in tumorigenesis and progression. The prognostic value of inflammatory biomarkers in GCT has not been established. A retrospective analysis was conducted in patients with spinal GCT in Changzheng Hospital Orthopedic Oncological Center (CHOOC) between January 2005 and October 2015 and 129 patients were identified eligible. Traditional clinical parameters and inflammatory indexes such as Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and albumin/globulin ratio (AGR) were concluded and analyzed. Kaplan-Meier analysis was used to calculate the disease-free survival (DFS). Cox regression analysis was performed to assess the prognostic factors. Nomograms were established to predict DFS quantitatively for the first time, and Harrell's concordance index (c-index) was adopted to evaluate prediction accuracy. As results, the DFS was 78.3% in the cohort. Patients were stratified into 2 groups by NLR (≤ 2.70 and > 2.70), PLR (≤ 215.80 and > 215.80), LMR (≤ 2.80 and >2.80) and AGR (< 1.50 and ≥ 1.50). Patients with NLR > 2.70, PLR > 215.80, LMR ≤ 2.80 and AGR < 1.50 were significantly associated with decreased DFS (

Keywords: disease-free survival; giant cell tumor; inflammatory biomarkers; nomogram; spine

Conflict of interest statement

CONFLICTS OF INTEREST All authors declared no conflicts of interest.

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