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Leukocyte telomere length: a novel biomarker to predict the prognosis of glioma patients

  • Original Article – Cancer Research
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Abstract

Purpose

Epidemiological studies have demonstrated that leukocyte telomere length is associated with the developing risk of various malignancies, including glioma. However, its prognostic value in glioma patients has never been investigated.

Methods

Relative telomere length (RTL) of peripheral blood leukocytes from 301 glioma patients were examined using a real-time PCR-based method. Kaplan–Meier curves and Cox proportional hazards regression model were used to assess the association of RTL with clinical outcomes of patients. To explore the potential mechanism, the immune phenotype of peripheral blood mononuclear cells (PBMCs) and concentrations of several cytokines from another 20 glioma patients were detected by flow cytometry and enzyme-linked immunosorbent assay (ELISA), respectively. The relationship between RTL and immunological characteristics of PBMCs were further analyzed.

Results

Patients with short RTL showed both poorer overall survival (OS) and progression-free survival (PFS) than those with long RTL. Multivariate Cox regression analysis demonstrated that RTL was an independent prognostic factor for both OS and PFS in glioma patients. Moreover, the effects of RTL on the prognosis of patients exhibited a dose-dependent manner. Stratified analysis showed that the prognostic value of RTL was not affected by host characteristics except for age. In addition, flow cytometry and ELISA analyses indicated that there was no significant association between RTL and frequency of different immune cell subsets or plasma cytokine concentrations.

Conclusions

Our study for the first time demonstrates that leukocyte RTL is an independent prognostic marker for glioma patients. The potential mechanism needs further investigation.

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Acknowledgments

This work was supported by Program for New Century Excellent Talents in University, National Natural Science Foundation (81171966) and National Key Technologies R&D Program (2011ZX09307-001-04) of China.

Conflict of interest

Authors declare that there is no competing interest.

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Authors

Corresponding authors

Correspondence to Jinliang Xing or Shiming He.

Additional information

Yibing Chen and Yousheng Wu contributed equally to this work.

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Chen, Y., Wu, Y., Huang, X. et al. Leukocyte telomere length: a novel biomarker to predict the prognosis of glioma patients. J Cancer Res Clin Oncol 141, 1739–1747 (2015). https://doi.org/10.1007/s00432-015-1938-x

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  • DOI: https://doi.org/10.1007/s00432-015-1938-x

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