首页|基于三羧酸循环相关代谢物的靶向代谢组学探究HER2阳性乳腺癌曲妥珠单抗耐药生物标志物

基于三羧酸循环相关代谢物的靶向代谢组学探究HER2阳性乳腺癌曲妥珠单抗耐药生物标志物

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目的 探究三羧酸循环(tricarboxylic acid cycle,TCA)相关代谢物在人表皮生长因子受体2(human epidermal growth factor receptor 2,HER2)阳性乳腺癌曲妥珠单抗耐药和敏感细胞中的水平变化,并筛选出与曲妥珠单抗耐药性相关的潜在生物标志物.方法 本研究采用基于超高效液相色谱串联质谱(ultra-high-performance liquid chromatography-mass spectrometry,UPLC-MS/MS)的靶向代谢组学方法检测曲妥珠单抗耐药细胞和敏感细胞中TCA相关代谢物(枸橼酸、顺式.乌头酸、异枸橼酸、α-酮戊二酸、琥珀酸、富马酸、苹果酸和草酰乙酸)含量水平,并对该检测方法的线性、准确度和精密度进行考察.使用正交偏最小二乘法判别分析(orthogonal partial least-squares discrimination analysis,OPLS-DA)法比较耐药和敏感细胞中TCA相关代谢物的表达差异,以P<0.05和差异倍数(fold change,FC)>1.5或<0.67为标准筛选出差异代谢物,并基于支持向量机(support vector machine,SVM)算法建立多变量耐药分类模型,利用受试者工作曲线(receiver operating characteristic curve,ROC)对差异代谢物和SVM模型的分类精度进行评估.结果 三羧酸循环相关代谢物的标准曲线相关系数r均大于0.994,所建立的方法准确度为94%~105%,精密度变异系数(coefficient of variation,CV)均小于15%.OPLS-DA模型中,敏感组和耐药组细胞分离趋势明显.在曲妥珠单抗耐药细胞中,苹果酸、琥珀酸、富马酸的含量较曲妥珠单抗敏感细胞显著升高(P<0.05).ROC分析显示琥珀酸、富马酸和苹果酸的曲线下面积(area under curve,AUC)均大于0.9,联合3种差异代谢物建立SVM耐药诊断模型的AUC为1.000.结论 TCA相关代谢物在曲妥珠单抗耐药和敏感细胞中呈现不同的表达水平,琥珀酸、富马酸和苹果酸可作为生物标志物对HER2阳性乳腺癌曲妥珠单抗耐药的诊断具有潜在价值.
Exploring Trastuzumab Resistance Biomarkers for HER2-positive Breast Cancer Based on Targeted Metabolomics of TCA-Related Metabolites
OBJECTIVE To investigate the levels of tricarboxylic acid cycle(TCA)-related metabolites in human epidermal growth factor receptor 2(HER2)-positive breast cancer trastuzumab-resistant and trastuzumab-sensitive cells,as well as to screen po-tential biomarkers of trastuzumab resistance.METHODS Targeted metabolomics was adopted to detect TCA-related metabolite levels including citrate,cis-aconitate,isocitrate,alpha-ketoglutarate,succinic acid,fumaric acid,malic acid and oxaloacetic acid based on ul-tra-high-performance liquid chromatography-mass spectrometry(UPLC-MS/MS)in trastuzumab-resistant and trastuzumab-sensitive cells.The linearity,accuracy and precision of the method were validated.Then,orthogonal partial least-squares discrimination analysis(OPLS-DA)was used to compare the relative differential expression in trastuzumab-resistant and trastuzumab-sensitive cells.Differen-tially expressed metabolites were screened according to P<0.05,fold change(FC)>1.5 or FC<0.67.Finally,a multivariable mod-el based on SVM and receiver operating characteristic(ROC)curve analysis was used to assess the classification accuracy of each me-tabolite.RESULTS For all TCA-related metabolites,the standard curves were linear,the correlation coefficients(r)were greater than 0.994,the established method accuracy was 94%-105%and the precision coefficient of variation(CV,%)was less than 15%.Trastuzumab-resistant and trastuzumab-sensitive cells were clearly separated from each other in the OPLS-DA model.Malic acid,succinic acid and fumaric acid were significantly upregulated in trastuzumab-resistant cells(P<0.05)compared to trastuzumab-sensitive cells.The areas under the curves(AUCs)of malic acid,succinic acid and fumaric acid were greater than 0.9 and the SVM model yielded the highest AUC of 1.000.CONCLUSION TCA-related metabolites are differentially expressed in trastuzumab-resist-ant and trastuzumab-sensitive cells.Succinic acid,fumaric acid and malic acid can serve as biomarkers that may provide potential val-ue for the diagnosis of trastuzumab resistance in HER2-positive breast cancer.

HER2-positive breast cancertrastuzumab-resistanceTCA-related metabolitytargeted metabolomicbiomarker

魏棒棒、曹怿玮、董春涛、李德邦、许飞飞、司鑫鑫、陈芸

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江苏海洋大学药学院,江苏连云港 222005

南京医科大学药学院,南京 211100

HER2阳性乳腺癌 曲妥珠单抗耐药 三羧酸循环相关代谢物 靶向代谢组学 生物标志物

国家自然科学基金青年基金

81703557

2024

中国药学杂志
中国药学会

中国药学杂志

CSTPCD北大核心
影响因子:0.957
ISSN:1001-2494
年,卷(期):2024.59(4)
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