Meller Sebastian, Meyer Hellmuth-A, Bethan Bianca, Dietrich Dimo, Maldonado Sandra González, Lein Michael, Montani Matteo, Reszka Regina, Schatz Philipp, Peter Erik, Stephan Carsten, Jung Klaus, Kamlage Beate, Kristiansen Glen
Institute of Pathology, University Hospital of Bonn, Bonn, Germany.
Campus Wilhelminenhof, University of Applied Sciences, Berlin, Germany.
Oncotarget. 2016 Jan 12;7(2):1421-38. doi: 10.18632/oncotarget.6370.
Integrated analysis of metabolomics, transcriptomics and immunohistochemistry can contribute to a deeper understanding of biological processes altered in cancer and possibly enable improved diagnostic or prognostic tests. In this study, a set of 254 metabolites was determined by gas-chromatography/liquid chromatography-mass spectrometry in matched malignant and non-malignant prostatectomy samples of 106 prostate cancer (PCa) patients. Transcription analysis of matched samples was performed on a set of 15 PCa patients using Affymetrix U133 Plus 2.0 arrays. Expression of several proteins was immunohistochemically determined in 41 matched patient samples and the association with clinico-pathological parameters was analyzed by an integrated data analysis. These results further outline the highly deregulated metabolism of fatty acids, sphingolipids and polyamines in PCa. For the first time, the impact of the ERG translocation on the metabolome was demonstrated, highlighting an altered fatty acid oxidation in TMPRSS2-ERG translocation positive PCa specimens. Furthermore, alterations in cholesterol metabolism were found preferentially in high grade tumors, enabling the cells to create energy storage. With this integrated analysis we could not only confirm several findings from previous metabolomic studies, but also contradict others and finally expand our concepts of deregulated biological pathways in PCa.
代谢组学、转录组学和免疫组织化学的综合分析有助于更深入地了解癌症中改变的生物学过程,并可能实现改进的诊断或预后测试。在本研究中,通过气相色谱/液相色谱-质谱法测定了106例前列腺癌(PCa)患者匹配的恶性和非恶性前列腺切除样本中的一组254种代谢物。使用Affymetrix U133 Plus 2.0芯片对一组15例PCa患者的匹配样本进行转录分析。在41例匹配的患者样本中通过免疫组织化学测定了几种蛋白质的表达,并通过综合数据分析分析了其与临床病理参数的关联。这些结果进一步勾勒出PCa中脂肪酸、鞘脂和多胺的高度失调代谢。首次证明了ERG易位对代谢组的影响,突出了TMPRSS2-ERG易位阳性PCa标本中脂肪酸氧化的改变。此外,在高级别肿瘤中优先发现胆固醇代谢的改变,使细胞能够产生能量储存。通过这种综合分析,我们不仅可以证实先前代谢组学研究的一些发现,也可以反驳其他发现,并最终扩展我们对PCa中失调生物学途径的概念。