Quantitative global lipidomics analysis of patients with ovarian cancer versus benign adnexal mass.
Quantitative global lipidomics analysis of patients with ovarian cancer versus benign adnexal mass.
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DOI:
10.1038/s41598-021-97433-x
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发表时间:
2021-09-13
影响因子:
4.6
通讯作者:
Yan L
中科院分区:
文献类型:
--
作者:
Buas MF;Drescher CW;Urban N;Li CI;Bettcher L;Hait NC;Moysich KB;Odunsi K;Raftery D;Yan L
Altered lipid metabolism has emerged as an important feature of ovarian cancer (OC), yet the translational potential of lipid metabolites to aid in diagnosis and triage remains unproven. We conducted a multi-level interrogation of lipid metabolic phenotypes in patients with adnexal masses, integrating quantitative lipidomics profiling of plasma and ascites with publicly-available tumor transcriptome data. Using Sciex Lipidyzer, we assessed concentrations of > 500 plasma lipids in two patient cohorts—(i) a pilot set of 100 women with OC (50) or benign tumor (50), and (ii) an independent set of 118 women with malignant (60) or benign (58) adnexal mass. 249 lipid species and several lipid classes were significantly reduced in cases versus controls in both cohorts (FDR < 0.05). 23 metabolites—triacylglycerols, phosphatidylcholines, cholesterol esters—were validated at Bonferroni significance (P < 9.16 × 10–5). Certain lipids exhibited greater alterations in early- (diacylglycerols) or late-stage (lysophospholipids) cases, and multiple lipids in plasma and ascites were positively correlated. Lipoprotein receptor gene expression differed markedly in OC versus benign tumors. Importantly, several plasma lipid species, such as DAG(16:1/18:1), improved the accuracy of CA125 in differentiating early-stage OC cases from benign controls, and conferred a 15–20% increase in specificity at 90% sensitivity in multivariate models adjusted for age and BMI. This study provides novel insight into systemic and local lipid metabolic differences between OC and benign disease, further implicating altered lipid uptake in OC biology, and advancing plasma lipid metabolites as a complementary class of circulating biomarkers for OC diagnosis and triage.
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影响因子:
254.7
作者:
Jemal, Ahmedin;Siegel, Rebecca;Thun, Michael J.
通讯作者:
Thun, Michael J.
影响因子:
4.3
作者:
Baenke F;Peck B;Miess H;Schulze A
通讯作者:
Schulze A
影响因子:
3.7
作者:
Palmer C;Duan X;Hawley S;Scholler N;Thorpe JD;Sahota RA;Wong MQ;Wray A;Bergan LA;Drescher CW;McIntosh MW;Brown PO;Nelson BH;Urban N
通讯作者:
Urban N
DOI:
10.1097/igc.0b013e318251c97d
发表时间:
2012-05
期刊:
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
影响因子:
--
作者:
Bast RC Jr;Skates S;Lokshin A;Moore RG
通讯作者:
Moore RG
影响因子:
4.6
作者:
Gaul DA;Mezencev R;Long TQ;Jones CM;Benigno BB;Gray A;Fernández FM;McDonald JF
通讯作者:
McDonald JF