Metabolic signatures differentiate ovarian from colon cancer cell lines.
Metabolic signatures differentiate ovarian from colon cancer cell lines.
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DOI：
10.1186/s12967-015-0576-z
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发表时间：
2015-07-14
影响因子：
7.4
通讯作者：
Rafii A
中科院分区：
文献类型：
--
作者：
Halama A;Guerrouahen BS;Pasquier J;Diboun I;Karoly ED;Suhre K;Rafii A
在这个精准医疗的时代，对肿瘤表型的深入和全面的表征将导致超越原发部位或解剖分期等经典因素的治疗策略。近年来，“组学”的出现使我们对肿瘤生物学的认识有了新的认识。为了提供监测疾病的生物标志物以及改善治疗效果的读数，这些方法已被广泛实施。代谢组学在癌症研究中的应用尤其有益，因为它反映了许多癌症类型特异性病理生理过程的生化后果。在这里，我们描述了结肠癌和卵巢癌细胞系的代谢谱，为前瞻性药物开发和临床筛选提供了更广泛的见解，以区分代谢过程。我们应用基于非靶向代谢组学的质谱联用超高效液相色谱和气相色谱对四种癌细胞系进行代谢表型分析：两种来自结肠癌（HCT15, HCT116）和两种来自卵巢癌（OVCAR3, SKOV3）。我们使用MetaP服务器进行统计数据分析。在所有四种细胞系中共检测到225种代谢物；其中67个分子能明显区分结肠癌和卵巢癌细胞。本研究的代谢特征表明卵巢癌细胞系三羧酸循环和脂质代谢升高，结肠癌细胞系β-氧化和尿素循环代谢升高。我们的研究提供了一组结肠癌和卵巢癌细胞系之间不同的代谢指纹。这些可能作为潜在的药物靶点，现在可以在原代细胞、生物液体和组织样本中进一步评估，以作为生物标志物。本文的在线版本（doi:10.1186/s12967-015-0576-z）包含补充材料，可供授权用户使用。
In this era of precision medicine, the deep and comprehensive characterization of tumor phenotypes will lead to therapeutic strategies beyond classical factors such as primary sites or anatomical staging. Recently, “-omics” approached have enlightened our knowledge of tumor biology. Such approaches have been extensively implemented in order to provide biomarkers for monitoring of the disease as well as to improve readouts of therapeutic impact. The application of metabolomics to the study of cancer is especially beneficial, since it reflects the biochemical consequences of many cancer type-specific pathophysiological processes. Here, we characterize metabolic profiles of colon and ovarian cancer cell lines to provide broader insight into differentiating metabolic processes for prospective drug development and clinical screening. We applied non-targeted metabolomics-based mass spectroscopy combined with ultrahigh-performance liquid chromatography and gas chromatography for the metabolic phenotyping of four cancer cell lines: two from colon cancer (HCT15, HCT116) and two from ovarian cancer (OVCAR3, SKOV3). We used the MetaP server for statistical data analysis. A total of 225 metabolites were detected in all four cell lines; 67 of these molecules significantly discriminated colon cancer from ovarian cancer cells. Metabolic signatures revealed in our study suggest elevated tricarboxylic acid cycle and lipid metabolism in ovarian cancer cell lines, as well as increased β-oxidation and urea cycle metabolism in colon cancer cell lines. Our study provides a panel of distinct metabolic fingerprints between colon and ovarian cancer cell lines. These may serve as potential drug targets, and now can be evaluated further in primary cells, biofluids, and tissue samples for biomarker purposes. The online version of this article (doi:10.1186/s12967-015-0576-z) contains supplementary material, which is available to authorized users.
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影响因子：
46.9
作者：
通讯作者：
--
影响因子：
37.3
作者：
Denkert C;Budczies J;Weichert W;Wohlgemuth G;Scholz M;Kind T;Niesporek S;Noske A;Buckendahl A;Dietel M;Fiehn O
通讯作者：
Fiehn O
影响因子：
28.2
作者：
Cantor JR;Sabatini DM
通讯作者：
Sabatini DM
影响因子：
4.7
作者：
GercelTaylor, C;Doering, DL;Taylor, DD
通讯作者：
Taylor, DD
影响因子：
11.2
作者：
Hirayama, Akiyoshi;Kami, Kenjiro;Soga, Tomoyoshi
通讯作者：
Soga, Tomoyoshi