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Lymphangiogenic Markers and Their Impact on Nodal Metastasis and Survival in Non-Small Cell Lung Cancer - A Structured Review with Meta-Analysis

Author

Listed:
  • Thomas K Kilvaer
  • Erna-Elise Paulsen
  • Sigurd M Hald
  • Tom Wilsgaard
  • Roy M Bremnes
  • Lill-Tove Busund
  • Tom Donnem

Abstract

Background: In non-small cell lung cancer (NSCLC), nodal metastasis is an adverse prognostic factor. Several mediating factors have been implied in the development of nodal metastases and investigated for predictive and prognostic properties in NSCLC. However, study results differ. In this structured review and meta-analysis we explore the published literature on commonly recognized pathways for molecular regulation of lymphatic metastasis in NSCLC. Methods: A structured PubMed search was conducted for papers reporting on the expression of known markers of lymhangiogenesis in NSCLC patients. Papers of sufficient quality, presenting survival and/or correlation data were included. Results: High levels of vascular endothelial growth factor C (VEGF-C, HR 1.57 95% CI 1.34–1.84) and high lymphatic vascular density (LVD, HR 1.84 95% CI 1.18–2.87) were significant prognostic markers of poor survival and high expression of VEGF-C, vascular endothelial growth factor receptor 3 (VEGFR3) and LVD was associated with lymph node metastasis in NSCLC. Conclusion: Lymphangiogenic markers are prognosticators of survival and correlate with lymph node metastasis in NSCLC. Their exact role and clinical implications should be further elucidated.

Suggested Citation

  • Thomas K Kilvaer & Erna-Elise Paulsen & Sigurd M Hald & Tom Wilsgaard & Roy M Bremnes & Lill-Tove Busund & Tom Donnem, 2015. "Lymphangiogenic Markers and Their Impact on Nodal Metastasis and Survival in Non-Small Cell Lung Cancer - A Structured Review with Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-17, August.
    • Handle: RePEc:plo:pone00:0132481
    DOI: 10.1371/journal.pone.0132481
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    References listed on IDEAS

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    1. Tom M. Palmer & Jaime L. Peters & Alex J. Sutton & Santiago G. Moreno, 2008. "Contour-enhanced funnel plots for meta-analysis," Stata Journal, StataCorp LP, vol. 8(2), pages 242-254, June.
    2. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
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