Glycerophospholipids and sphingolipids correlate with poor prognostic genotypes of human papillomavirus in cervical cancer: global lipidomics analysis. Issue 41 (10th October 2018)

• Record Type: Journal Article
• Authors: Hung, Cheng-Yu; Chao, Angel; Wang, Chun-Chieh; Wu, Ren-Chin; Lu, Kuan-Ying; Lu, Hsin-Ying; Lai, Chyong-Huey; Lin, Gigin
• Is Part Of: Analytical methods. Volume 10:Issue 41(2018)
• Page Start: 4970
• Page End: 4977
• Publication Date: 2018-10-10
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/c8ay01691g
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : Human papillomavirus (HPV), an important causative factor for cervical cancer, alters lipid metabolism. 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.