Fat Composition Measured by Proton Spectroscopy: A Breast Cancer Tumor Marker?
Fat Composition Measured by Proton Spectroscopy: A Breast Cancer Tumor Marker?
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DOI：
10.3390/diagnostics11030564
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发表时间：
2021-03-21
期刊：
影响因子：
--
通讯作者：
Thakur SB
中科院分区：
文献类型：
--
作者：
Bitencourt A;Sevilimedu V;Morris EA;Pinker K;Thakur SB
包括脂质在内的代谢改变是乳腺癌的一个新标志。本研究的目的是调查乳腺癌是否表现出不同的磁共振波谱（MRS）为基础的脂质组成比正常纤维腺体组织（FGT）。采用3 T磁共振扫描仪采集可疑病变患者和对侧正常组织的MRS谱，采用受激回波采集模式序列。使用LCModel软件定量1.3 + 1.6 ppm（L13 + L16）、2.1 + 2.3 ppm（L21 + L23）、2.8 ppm（L28）、4.1 + 4.3 ppm（L41 + L43）和5.2 + 5.3 ppm（L52 + L53）处的脂肪峰。计算了饱和指数（SI）、双体数（NBD）、单不饱和脂肪酸（MUFA）和多不饱和脂肪酸（PUFA）以及平均链长（MCL）。结果显示，与正常FGT相比，肿瘤中所有脂质代谢物和PUFA的平均浓度均显著降低（分别为p ≤ 0.002和0.04）。在用多变量分析调整后，最佳分离正常和肿瘤组织的测量是L21 + L23，其产生的曲线下面积为0.87（95%CI：0.75-0.98）。在HER 2阳性与HER 2阴性肿瘤之间获得了相似的结果。因此，基于MRS的脂质测量可以作为多变量方法中的独立变量，以增加乳腺癌表征的特异性。
Altered metabolism including lipids is an emerging hallmark of breast cancer. The purpose of this study was to investigate if breast cancers exhibit different magnetic resonance spectroscopy (MRS)-based lipid composition than normal fibroglandular tissue (FGT). MRS spectra, using the stimulated echo acquisition mode sequence, were collected with a 3T scanner from patients with suspicious lesions and contralateral normal tissue. Fat peaks at 1.3 + 1.6 ppm (L13 + L16), 2.1 + 2.3 ppm (L21 + L23), 2.8 ppm (L28), 4.1 + 4.3 ppm (L41 + L43), and 5.2 + 5.3 ppm (L52 + L53) were quantified using LCModel software. The saturation index (SI), number of double bods (NBD), mono and polyunsaturated fatty acids (MUFA and PUFA), and mean chain length (MCL) were also computed. Results showed that mean concentrations of all lipid metabolites and PUFA were significantly lower in tumors compared with that of normal FGT (p ≤ 0.002 and 0.04, respectively). The measure best separating normal and tumor tissues after adjusting with multivariable analysis was L21 + L23, which yielded an area under the curve of 0.87 (95% CI: 0.75–0.98). Similar results were obtained between HER2 positive versus HER2 negative tumors. Hence, MRS-based lipid measurements may serve as independent variables in a multivariate approach to increase the specificity of breast cancer characterization.
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影响因子：
29
作者：
Pavlova NN;Thompson CB
通讯作者：
Thompson CB
DOI：
10.1016/j.bbalip.2013.03.011
发表时间：
2013-10
期刊：
Biochimica et biophysica acta
影响因子：
--
作者：
Baumann J;Sevinsky C;Conklin DS
通讯作者：
Conklin DS
影响因子：
3.3
作者：
Dimitrov, Ivan E.;Douglas, Deborah;Malloy, Craig R.
通讯作者：
Malloy, Craig R.
DOI：
10.1073/pnas.1307237110
发表时间：
2013-05-28
影响因子：
11.1
作者：
Kamphorst, Jurre J.;Cross, Justin R.;Rabinowitz, Joshua D.
通讯作者：
Rabinowitz, Joshua D.
DOI：
10.1007/bf02592240
发表时间：
1997-06-01
影响因子：
2.3
作者：
Dzendrowskyj, TE;Noyszewski, EA;Bolinger, L
通讯作者：
Bolinger, L