Department of Laboratory Oncology Research, Memorial University Medical Center (MUMC) and Mercer University School of Medicine (MUSM), Anderson Cancer Institute, Savannah, Georgia, United States of America.
Georgia Southern University, Statesboro, Georgia, United States of America.
PLoS One. 2014 Mar 6;9(3):e88841. doi: 10.1371/journal.pone.0088841. eCollection 2014.
The results of prostate specific antigen (PSA) and digital rectal examination (DRE) screenings lead to both under and over treatment of prostate cancer (PCa). As such, there is an urgent need for the identification and evaluation of new markers for early diagnosis and disease prognosis. Studies have shown a link between PCa, lipids and lipid metabolism. Therefore, the aim of this study was to examine the concentrations and distribution of serum lipids in patients with PCa as compared with serum from controls.
Using Electrospray ionization mass spectrometry (ESI-MS/MS) lipid profiling, we analyzed serum phospholipids from age-matched subjects who were either newly diagnosed with PCa or healthy (normal).
We found that cholester (CE), dihydrosphingomyelin (DSM), phosphatidylcholine (PC), egg phosphatidylcholine (ePC) and egg phosphatidylethanolamine (ePE) are the 5 major lipid groups that varied between normal and cancer serums. ePC 38:5, PC 40:3, and PC 42:4 represent the lipids species most prevalent in PCa as compared with normal serum. Further analysis revealed that serum ePC 38:5 ≥0.015 nmoles, PC 40.3 ≤0.001 nmoles and PC 42:4 ≤0.0001 nmoles correlated with the absence of PCa at 94% prediction. Conversely, serum ePC 38:5 ≤0.015 nmoles, PC 40:3 ≥0.001 nmoles, and PC 42:4 ≥0.0001 nmoles correlated with the presence of PCa.
In summary, we have demonstrated that ePC 38:5, PC 40:3, and PC 42:4 may serve as early predictive serum markers for the presence of PCa.
前列腺特异性抗原（PSA）和直肠指检（DRE）筛查的结果导致前列腺癌（PCa）的过度治疗和治疗不足。因此，迫切需要识别和评估新的标志物用于早期诊断和疾病预后。研究表明，PCa 与脂质和脂质代谢之间存在关联。因此，本研究旨在检查 PCa 患者与对照血清相比，其血清脂质的浓度和分布。
使用电喷雾电离质谱（ESI-MS/MS）脂质谱分析，我们分析了年龄匹配的新诊断为 PCa 或健康（正常）患者的血清磷脂。
我们发现胆固醇（CE）、二氢神经酰胺（DSM）、磷脂酰胆碱（PC）、蛋黄磷脂酰胆碱（ePC）和蛋黄磷脂酰乙醇胺（ePE）是正常和癌症血清之间存在差异的 5 种主要脂质组。与正常血清相比，ePC 38:5、PC 40:3 和 PC 42:4 代表 PCa 中最常见的脂质种类。进一步分析表明，血清 ePC 38:5≥0.015nmoles、PC 40.3≤0.001nmoles 和 PC 42:4≤0.0001nmoles 与无 PCa 相关，预测准确率为 94%。相反，血清 ePC 38:5≤0.015nmoles、PC 40:3≥0.001nmoles 和 PC 42:4≥0.0001nmoles 与 PCa 存在相关。
总之，我们已经证明，ePC 38:5、PC 40:3 和 PC 42:4 可能作为存在 PCa 的早期预测性血清标志物。
