Optimized protocol for metabolomic and lipidomic profiling in formalin-fixed paraffin-embedded kidney tissue by LC-MS

被引:17
作者
Neef, Sylvia K. [1 ,2 ]
Winter, Stefan [1 ,2 ]
Hofmann, Ute [1 ,2 ]
Muerdter, Thomas E. [1 ,2 ]
Schaeffeler, Elke [1 ,2 ,8 ]
Horn, Heike [1 ,2 ]
Buck, Achim [5 ]
Walch, Axel [5 ]
Hennenlotter, Joerg [6 ]
Ott, German [1 ,2 ,3 ]
Fend, Falko [7 ]
Bedke, Jens [6 ]
Schwab, Matthias [1 ,2 ,4 ,8 ]
Haag, Mathias [1 ,2 ]
机构
[1] Dr Margarete Fischer Bosch Inst Clin Pharmacol, Auerbachstr 112, D-70376 Stuttgart, Germany
[2] Univ Tubingen, Stuttgart, Germany
[3] Robert Bosch Krankenhaus, Dept Clin Pathol, Stuttgart, Germany
[4] Univ Tubingen, Dept Clin Pharmacol Pharm & Biochem, Tubingen, Germany
[5] Helmholtz Zentrum Munchen, Res Unit Analyt Pathol, Neuherberg, Germany
[6] Univ Hosp Tubingen, Dept Urol, Tubingen, Germany
[7] Univ Hosp Tubingen, Inst Pathol & Neuropathol, Tubingen, Germany
[8] Univ Tubingen, Cluster Excellence iFIT EXC 2180 Image Guided & F, Tubingen, Germany
关键词
Formalin-fixed paraffin-embedded kidney tissue; Metabolite extraction; Metabolomics; Lipidomics; Non-targeted metabolomics; Mass spectrometry; PERFORMANCE LIQUID-CHROMATOGRAPHY; MASS-SPECTROMETRY; CANCER; BRAIN; FORMALDEHYDE; EXTRACTION; PROPOFOL; DNA; RECOMMENDATIONS; METABOLITES;
D O I
10.1016/j.aca.2020.08.005
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Formalin-fixed and paraffin-embedded (FFPE) tissue represents a valuable resource to examine cancer metabolic alterations and to identify potential markers of disease. Protocols commonly used for liquid-chromatography mass spectrometry (LC-MS)-based FFPE metabolomics have not been optimized for lipidomic analysis and pre-analytical factors, that potentially affect metabolite levels, were scarcely investigated. We here demonstrate the assessment and optimization of sample preparation procedures for comprehensive metabolomic and lipidomic profiling in FFPE kidney tissue by LC-QTOF-MS. The optimized protocol allows improved monitoring of lipids including ceramides (Cer), glycosphingolipids (GSL) and triglycerides (TAGs) while the profiling capability for small polar molecules is maintained. Further, repeatable sample preparation (CVs < 20%) along with high analytical (CVs < 10%) and inter-day precision (CVs < 20%) is achieved. As proof of concept, we analyzed a set of clear cell renal cell carcinoma (ccRCC) and corresponding non-tumorous FFPE tissue samples, achieving phenotypic distinction. Investigation of the impact of tissue fixation time (6 h, 30 h and 54 h) on FFPE tissue metabolic profiles revealed metabolite class-dependent differences on their detection abundance. Whereas specific lipids (e.g. phosphatidylinositoles, GSLs, saturated fatty acids and saturated lyso-phosphatidytlethanolamines LPED remained largely unaffected (CVs < 20% between groups of fixation time), neutral lipids (e.g. Cer and TAGs) exhibited high variability (CVs > 80%). Strikingly, out of the lipid classes assigned as unaffected, fatty acids 18:0, 16:0 and LPE 18:0 were detectable by high-resolution MALDI-FT-ICR MS imaging in an independent cohort of ccRCC tissues (n = 64) and exhibited significant differences between tumor and non-tumor regions. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码:125 / 135
页数:11
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