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Integration of lipidomics and transcriptomics unravels aberrant lipid metabolism and defines cholesteryl oleate as potential biomarker of prostate cancer
Li, Jia1; Ren, Shancheng2; Piao, Hai-long1; Wang, Fubo2; Yin, Peiyuan1; Xu, Chuanliang2; Lu, Xin1; Ye, Guozhu1; Shao, Yaping1; Yan, Min1; Zhao, Xinjie1; Sun, Yinghao2; Xu, Guowang1
Source PublicationSCIENTIFIC REPORTS
2016-02-11
ISSN2045-2322
DOI10.1038/srep20984
Volume6
Indexed BySCI
SubtypeArticle
WOS HeadingsScience & Technology
WOS SubjectMultidisciplinary Sciences
WOS Research AreaScience & Technology - Other Topics
WOS KeywordINTRATUMORAL ANDROGENS ; PROGRESSION ; PROLIFERATION ; GROWTH ; CELLS ; PHOSPHOLIPIDS ; ACCUMULATION ; METABOLOMICS ; INFORMATION ; STATISTICS
AbstractIn-depth delineation of lipid metabolism in prostate cancer (PCa) is significant to open new insights into prostate tumorigenesis and progression, and provide potential biomarkers with greater accuracy for improved diagnosis. Here, we performed lipidomics and transcriptomics in paired prostate cancer tumor (PCT) and adjacent nontumor (ANT) tissues, followed by external validation of biomarker candidates. We identified major dysregulated pathways involving lipogenesis, lipid uptake and phospholipids remodeling, correlated with widespread lipid accumulation and lipid compositional reprogramming in PCa. Specifically, cholesteryl esters (CEs) were most prominently accumulated in PCa, and significantly associated with cancer progression and metastasis. We showed that overexpressed scavenger receptor class B type I (SR-BI) may contribute to CEs accumulation. In discovery set, CEs robustly differentiated PCa from nontumor (area under curve (AUC) of receiver operating characteristics (ROC), 0.90-0.94). In validation set, CEs potently distinguished PCa and non-malignance (AUC, 0.84-0.91), and discriminated PCa and benign prostatic hyperplasia (BPH) (AUC, 0.90-0.96), superior to serum prostate-specific antigen (PSA) (AUC = 0.83). Cholesteryl oleate showed highest AUCs in distinguishing PCa from non-malignance or BPH (AUC = 0.91 and 0.96). Collectively, our results unravel the major lipid metabolic aberrations in PCa and imply the potential role of CEs, particularly, cholesteryl oleate, as molecular biomarker for PCa detection.
Language英语
WOS IDWOS:000369923500001
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:43[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/171219
Collection中国科学院大连化学物理研究所
Corresponding AuthorSun, Yinghao; Xu, Guowang
Affiliation1.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
2.Second Mil Med Univ, Shanghai Changhai Hosp, Dept Urol, Shanghai, Peoples R China
Recommended Citation
GB/T 7714
Li, Jia,Ren, Shancheng,Piao, Hai-long,et al. Integration of lipidomics and transcriptomics unravels aberrant lipid metabolism and defines cholesteryl oleate as potential biomarker of prostate cancer[J]. SCIENTIFIC REPORTS,2016,6.
APA Li, Jia.,Ren, Shancheng.,Piao, Hai-long.,Wang, Fubo.,Yin, Peiyuan.,...&Xu, Guowang.(2016).Integration of lipidomics and transcriptomics unravels aberrant lipid metabolism and defines cholesteryl oleate as potential biomarker of prostate cancer.SCIENTIFIC REPORTS,6.
MLA Li, Jia,et al."Integration of lipidomics and transcriptomics unravels aberrant lipid metabolism and defines cholesteryl oleate as potential biomarker of prostate cancer".SCIENTIFIC REPORTS 6(2016).
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