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

Cheng Yu Hung, Angel Chao, Chun Chieh Wang, Ren Chin Wu, Kuan Ying Lu, Hsin Ying Lu, Chyong Huey Lai, Gigin Lin*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

8 Scopus citations

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.

Original languageEnglish
Pages (from-to)4970-4977
Number of pages8
JournalAnalytical Methods
Volume10
Issue number41
DOIs
StatePublished - 07 11 2018

Bibliographical note

Publisher Copyright:
© 2018 The Royal Society of Chemistry.

Fingerprint

Dive into the research topics of 'Glycerophospholipids and sphingolipids correlate with poor prognostic genotypes of human papillomavirus in cervical cancer: Global lipidomics analysis'. Together they form a unique fingerprint.

Cite this