In vivo metabolic evaluation of breast tumor mouse xenografts for predicting aggressiveness using the hyperpolarized (13)C-NMR technique.
In vivo metabolic evaluation of breast tumor mouse xenografts for predicting aggressiveness using the hyperpolarized (13)C-NMR technique.
复制标题
使用超极化 (13)C-NMR 技术对小鼠乳腺肿瘤异种移植物进行体内代谢评估，以预测侵袭性。
DOI：
10.1007/978-1-4614-7411-1_32
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发表时间：
2013
影响因子：
--
通讯作者：
Li,LinZ
中科院分区：
文献类型：
--
作者：
Xu,HeN;Kadlececk,Stephen;Pullinger,Ben;Profka,Harrila;Cai,Kejia;Hariharan,Hari;Rizi,Rahim;Li,LinZ
In vivo imaging/spectroscopic biomarkers for solid tumor aggressiveness are needed in the clinic to facilitate cancer diagnosis and treatment strategies. In mouse models of human melanoma and breast cancer, we were able to detect the metabolic differences among tumors of different metastatic potential and between normal and cancer tissues by optical imaging of the mitochondrial redox state of snap-frozen tissue samples. Such metabolic differences indicate that tumors of different aggressiveness have different metabolic homeostasis, which supports that kinetic parameters such as rate constant(s) can also serve as biomarkers for cancer aggressiveness and treatment response. Here we present our preliminary study on the mouse xenografts of the aggressive and indolent human breast cancer cell lines using the hyperpolarized13C-NMR (HP-NMR) technique. By recording the time courses of13C-pyruvate tracer and its metabolite signals in vivo, particularly the13C-lactate signal, the apparent rate constants of both the forward and reverse reactions catalyzed by lactate dehydrogenase (LDH) were extracted via the ratiometric modeling of the two-site exchange reaction that we developed. Data from four breast tumors (MCF-7, MDA-MB-468, and MDA-MB-231 medium and large) with different aggressiveness are included. We demonstrate the feasibility to quantify the apparent rate constants of LDH reactions in breast tumor xenografts.
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影响因子：
56.9
作者：
Ishikawa, Kaori;Takenaga, Keizo;Hayashi, Jun-Ichi
通讯作者：
Hayashi, Jun-Ichi
影响因子：
4.8
作者：
Kurhanewicz, John;Vigneron, Daniel B.;Malloy, Craig R.
通讯作者：
Malloy, Craig R.
通过光学和磁共振成像预测黑色素瘤转移潜力。
影响因子：
--
作者：
Li,LinZJ;Zhou,Rong;Zhong,Tuoxiu;Moon,Lily;Kim,EunJu;Qiao,Hui;Pickup,Stephen;Hendrix,MaryJ;Leeper,Dennis;Chance,Britton;Glickson,JerryD
通讯作者：
Glickson,JerryD
影响因子：
11.2
作者：
Albers MJ;Bok R;Chen AP;Cunningham CH;Zierhut ML;Zhang VY;Kohler SJ;Tropp J;Hurd RE;Yen YF;Nelson SJ;Vigneron DB;Kurhanewicz J
通讯作者：
Kurhanewicz J
影响因子：
29
作者：
Locasale JW;Cantley LC
通讯作者：
Cantley LC