The lipid phenotype of breast cancer cells characterized by Raman microspectroscopy: towards a stratification of malignancy.
The lipid phenotype of breast cancer cells characterized by Raman microspectroscopy: towards a stratification of malignancy.
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DOI：
10.1371/journal.pone.0046456
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Sierra A
中科院分区：
文献类型：
--
作者：
Nieva C;Marro M;Santana-Codina N;Rao S;Petrov D;Sierra A
尽管分子分类为乳腺癌分类带来了有趣的见解，但其在日常临床护理中的实施是值得怀疑的，因为其费用较高，并且在单个样本分配中提供的信息不够可靠。新的方法，基于一组来自细胞代谢谱的全局或靶向分析的小分子，发现了新生脂肪生成的激活与许多肿瘤的预后较差和无病生存期较短之间的相关性。我们假设，乳腺癌细胞的脂质含量可能是一个有用的间接措施耦合到乳腺癌进展的各种功能。拉曼显微光谱被用来表征具有不同恶性程度的乳腺癌细胞的代谢。用具有背散射配置的InVia拉曼显微镜（Renishaw）获得来自MDA-MB-435、MDA-MB-468、MDA-MB-231、SKBR 3、MCF 7和MCF 10A细胞的拉曼光谱。我们使用主成分分析和偏最小二乘判别分析来评估乳腺癌细胞的脂质组成的不同概况。在3014、2935、2890和2845 cm−1处发现了与脂质含量相关的特征带，在2940 cm−1处发现了与脂质和蛋白质含量相关的特征带。一个分类模型，分离转移性细胞和非转移性细胞无基底细胞样表型的敏感性为90%，特异性为82.1%。此外，SREBP-1c和ABCA 1基因的表达验证了乳腺癌细胞的脂质表型的分配。事实上，脂肪酸不饱和度的变化与上皮-间充质转化表型有关。拉曼显微光谱是一种很有前途的技术，用于表征和分类的恶性表型的乳腺癌细胞的基础上，他们的脂质分布。转移能力的判别算法是使用这种快速且无试剂的工具对乳腺癌细胞进行分层的第一步。
Although molecular classification brings interesting insights into breast cancer taxonomy, its implementation in daily clinical care is questionable because of its expense and the information supplied in a single sample allocation is not sufficiently reliable. New approaches, based on a panel of small molecules derived from the global or targeted analysis of metabolic profiles of cells, have found a correlation between activation of de novo lipogenesis and poorer prognosis and shorter disease-free survival for many tumors. We hypothesized that the lipid content of breast cancer cells might be a useful indirect measure of a variety of functions coupled to breast cancer progression. Raman microspectroscopy was used to characterize metabolism of breast cancer cells with different degrees of malignancy. Raman spectra from MDA-MB-435, MDA-MB-468, MDA-MB-231, SKBR3, MCF7 and MCF10A cells were acquired with an InVia Raman microscope (Renishaw) with a backscattered configuration. We used Principal Component Analysis and Partial Least Squares Discriminant Analyses to assess the different profiling of the lipid composition of breast cancer cells. Characteristic bands related to lipid content were found at 3014, 2935, 2890 and 2845 cm−1, and related to lipid and protein content at 2940 cm−1. A classificatory model was generated which segregated metastatic cells and non-metastatic cells without basal-like phenotype with a sensitivity of 90% and a specificity of 82.1%. Moreover, expression of SREBP-1c and ABCA1 genes validated the assignation of the lipid phenotype of breast cancer cells. Indeed, changes in fatty acid unsaturation were related with the epithelial-to-mesenchymal transition phenotype. Raman microspectroscopy is a promising technique for characterizing and classifying the malignant phenotype of breast cancer cells on the basis of their lipid profiling. The algorithm for the discrimination of metastatic ability is a first step towards stratifying breast cancer cells using this rapid and reagent-free tool.
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影响因子：
8
作者：
Guedj, M.;Marisa, L.;de Reynies, A.;Orsetti, B.;Schiappa, R.;Bibeau, F.;MacGrogan, G.;Lerebours, F.;Finetti, P.;Longy, M.;Bertheau, P.;Bertrand, F.;Bonnet, F.;Martin, A. L.;Feugeas, J. P.;Bieche, I.;Lehmann-Che, J.;Lidereau, R.;Birnbaum, D.;Bertucci, F.;de The, H.;Theillet, C.
通讯作者：
Theillet, C.
影响因子：
3.8
作者：
Antalis, Caryl J.;Arnold, Tyler;Siddiqui, Rafat A.
通讯作者：
Siddiqui, Rafat A.
DOI：
10.1023/b:inet.0000008930.87741.b9
发表时间：
2003-11-01
影响因子：
0.6
作者：
Mikhailyuk, IK;Razzhivin, AP
通讯作者：
Razzhivin, AP
影响因子：
4.2
作者：
Hartsuiker, Liesbeth;Zeijen, Nicole J. L.;Otto, Cees
通讯作者：
Otto, Cees
影响因子：
11.2
作者：
Bhalla K;Hwang BJ;Dewi RE;Ou L;Twaddel W;Fang HB;Vafai SB;Vazquez F;Puigserver P;Boros L;Girnun GD
通讯作者：
Girnun GD