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Issue 41, 2018
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Glycerophospholipids and sphingolipids correlate with poor prognostic genotypes of human papillomavirus in cervical cancer: global lipidomics analysis

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Abstract

Human papillomavirus (HPV) is an important causative factor for cervical cancer. HPV genotyping also influences the prognosis for patients undergoing concurrent chemoradiotherapy (CCRT). The presence of alpha-7 species, including HPV18, or absence of HPV infection results in poorer prognosis than that of the alpha-9 species, mainly HPV16. The poor prognostic HPV genotypes have been shown to be associated with elevated lipid signals in tumors using magnetic resonance spectroscopy, in clinical trials. We aim to investigate the detailed lipid profiles pertinent to different prognostic HPV genotypes. Global lipidomics analysis was performed on cervical tissue samples using a liquid-chromatography mass spectrometry (LC/MS) system. We identified glycerophospholipids and sphingolipids as the primary contributors for grouping. Furthermore, supported by cell experiments, we underpinned the importance of phosphocholine (PC), phosphatidylethanolamine (PE) and sphingomyelin (SM) in separating the HPV18 and HPV16 genotypes. Our results can be used to potentially develop biomarkers to improve patient stratification in personalized medicine.

Graphical abstract: Glycerophospholipids and sphingolipids correlate with poor prognostic genotypes of human papillomavirus in cervical cancer: global lipidomics analysis

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Publication details

The article was received on 30 Jul 2018, accepted on 22 Sep 2018 and first published on 25 Sep 2018


Article type: Communication
DOI: 10.1039/C8AY01691G
Anal. Methods, 2018,10, 4970-4977

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    Glycerophospholipids and sphingolipids correlate with poor prognostic genotypes of human papillomavirus in cervical cancer: global lipidomics analysis

    C. Hung, A. Chao, C. Wang, R. Wu, K. Lu, H. Lu, C. Lai and G. Lin, Anal. Methods, 2018, 10, 4970
    DOI: 10.1039/C8AY01691G

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