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*

*此作品的通信作者

研究成果: 期刊稿件文獻綜述同行評審

8 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)4970-4977
頁數8
期刊Analytical Methods
10
發行號41
DOIs
出版狀態已出版 - 07 11 2018

文獻附註

Publisher Copyright:
© 2018 The Royal Society of Chemistry.

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