Issue 41, 2018

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

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

Supplementary files

Article information

Article type
Communication
Submitted
30 Jul 2018
Accepted
22 Sep 2018
First published
25 Sep 2018

Anal. Methods, 2018,10, 4970-4977

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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