Isidoro Antonio, Casado Enrique, Redondo Andrés, Acebo Paloma, Espinosa Enrique, Alonso Andrés M, Cejas Paloma, Hardisson David, Fresno Vara Juan A, Belda-Iniesta Cristobal, González-Barón Manuel, Cuezva José M
Departamento de Biología Molecular, Centro de Biología Molecular Severo Ochoa, Universidad Autónoma de Madrid, Spain.
Carcinogenesis. 2005 Dec;26(12):2095-104. doi: 10.1093/carcin/bgi188. Epub 2005 Jul 20.
The aim of this study was to investigate selected proteomic markers of the metabolic phenotype of breast carcinomas as prognostic markers of cancer progression. For this purpose, a series of 101 breast carcinomas and 13 uninvolved breast samples were examined for quantitative differences in protein expression of mitochondrial and glycolytic markers. The beta-subunit of the mitochondrial H(+)-ATP synthase (beta-F1-ATPase) and heat shock protein 60 (Hsp60), and the glycolytic glyceraldehyde-3-phosphate dehydrogenase, pyruvate kinase and lactate dehydrogenase were identified by immunological techniques. Correlations of the expression level of the protein markers and of the ratios derived from them were established with the clinicopathological information of the tumors and the follow-up data of the patients. The metabolic proteome of breast cancer specimens revealed a pronounced shift towards an enhanced glycolytic phenotype concurrent with a profound alteration on the mitochondrial beta-F1-ATPase/Hsp60 ratio when compared with normal samples. Discriminant analysis using markers of the metabolic signature as predictor variables revealed a classification sensitivity of approximately 97%. Kaplan-Meier survival analysis showed that several of the proteomic variables significantly correlated with overall and disease-free survival of the patients. The expression level of beta-F1-ATPase per se allowed the identification of a subgroup of breast cancer patients with significantly worse prognosis. Multivariate Cox regression analysis indicated that tumor expression of beta-F1-ATPase is a significant marker independent from clinical variables to assess the prognosis of the patients. We conclude that the alteration of the mitochondrial and glycolytic proteomes is a hallmark feature of breast cancer further providing relevant markers to aid in the prognosis of breast cancer patients.
本研究旨在调查乳腺癌代谢表型的特定蛋白质组学标志物,作为癌症进展的预后标志物。为此,对101例乳腺癌系列样本和13例未受累乳腺样本进行了检查,以分析线粒体和糖酵解标志物蛋白质表达的定量差异。通过免疫技术鉴定了线粒体H(+)-ATP合酶的β亚基(β-F1-ATP酶)、热休克蛋白60(Hsp60)以及糖酵解的甘油醛-3-磷酸脱氢酶、丙酮酸激酶和乳酸脱氢酶。将蛋白质标志物的表达水平及其衍生比值与肿瘤的临床病理信息和患者的随访数据建立相关性。与正常样本相比,乳腺癌标本的代谢蛋白质组显示出明显向增强糖酵解表型的转变,同时线粒体β-F1-ATP酶/Hsp60比值发生了深刻变化。使用代谢特征标志物作为预测变量的判别分析显示分类敏感性约为97%。Kaplan-Meier生存分析表明,几个蛋白质组学变量与患者的总生存期和无病生存期显著相关。β-F1-ATP酶本身的表达水平能够识别出预后明显较差的乳腺癌患者亚组。多变量Cox回归分析表明,β-F1-ATP酶的肿瘤表达是一个独立于临床变量的重要标志物,可用于评估患者的预后。我们得出结论,线粒体和糖酵解蛋白质组的改变是乳腺癌的一个标志性特征,进一步提供了有助于乳腺癌患者预后评估的相关标志物。