Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer
Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer
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DOI：
10.1038/sj.bjc.6604924
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发表时间：
2009-03-17
影响因子：
8.8
通讯作者：
Williams, G. H.
中科院分区：
文献类型：
--
作者：
Loddo, M.;Kingsbury, S. R.;Williams, G. H.
参与G1-S和G2-M细胞周期转变的核心调控蛋白的多参数分析为评估细胞周期状态提供了强大的生物标志物读数。我们已经将这种算法应用于乳腺癌，以研究细胞周期如何影响疾病进展。对182名患者进行队列研究，生成了DNA复制许可通路关键成分（Mcm2, geminin）和有丝分裂机制（Plk1， Aurora A和Aurora底物组蛋白H3S10ph）的蛋白质表达谱，并将其与临床病理参数联系起来。阻滞分化和基因组不稳定性与细胞进入细胞分裂周期的增加有关(P
Multiparameter analysis of core regulatory proteins involved in G1-S and G2-M cell-cycle transitions provides a powerful biomarker readout for assessment of the cell-cycle state. We have applied this algorithm to breast cancer to investigate how the cell cycle impacts on disease progression. Protein expression profiles of key constituents of the DNA replication licensing pathway (Mcm2, geminin) and mitotic machinery (Plk1, Aurora A and the Aurora substrate histone H3S10ph) were generated for a cohort of 182 patients and linked to clinicopathological parameters. Arrested differentiation and genomic instability were associated with an increased engagement of cells into the cell division cycle (P