Li Jian, Gromov Pavel, Gromova Irina, Moreira José M, Timmermans-Wielenga Vera, Rank Fritz, Wang Kai, Li Shengting, Li Heng, Wiuf Carsten, Yang Huanming, Zhang Xiuqing, Bolund Lars, Celis Julio E
Institute of Human Genetics, University of Aarhus, Aarhus C, Denmark.
Proteomics. 2008 Dec;8(23-24):5038-52. doi: 10.1002/pmic.200800303.
Axillary lymph node (ALN) status is currently used as an important clinical indicator of breast cancer prognosis. However, the molecular mechanisms underlying lymph node metastasis are poorly understood and the relationship between ALN metastasis and the primary tumor remains unclear. In an effort to reveal structural changes in the genome and related protein responses that may drive regional metastatic progression we have analyzed matched pairs of primary breast tumors and ALN metastases both at the genomic and proteomic levels using comparative genomic hybridization (CGH) array, quantitative high-resolution 2-D PAGE in combination with MS, and immunohistochemistry (IHC). Array CGH revealed a remarkable similarity in genomic aberration profiles between the matched primary tumors and the ALN metastases. Quantitative profiling of 135 known proteins also revealed striking similarities in their overall expression patterns, although we observed distinct changes in the levels of individual proteins in some sample pairs. The remarkable similarities of the overall genomic and proteomic profiles between primary tumors and matched ALN metastases are taken to suggest that, in general, key biological characteristics of the primary breast tumor are maintained in the corresponding lymph node metastases. Given that the omics-based technologies are oblivious to changes that only occur in minor cellular subsets we validated the proteomic data using IHC, which provides protein expression information with a valuable topological component. Besides confirming the omics-derived data, the IHC analysis revealed that in two cases the ALN metastases may have been derived from a distinct minor cell subpopulation present in the primary tumor rather than from the bulk of it.
腋窝淋巴结(ALN)状态目前被用作乳腺癌预后的重要临床指标。然而,淋巴结转移的分子机制尚不清楚,且ALN转移与原发肿瘤之间的关系仍不明确。为了揭示可能驱动区域转移进展的基因组结构变化和相关蛋白质反应,我们使用比较基因组杂交(CGH)阵列、定量高分辨率二维聚丙烯酰胺凝胶电泳结合质谱以及免疫组织化学(IHC),在基因组和蛋白质组水平上分析了原发性乳腺肿瘤和ALN转移灶的配对样本。阵列CGH显示,配对的原发性肿瘤和ALN转移灶之间的基因组畸变谱具有显著相似性。对135种已知蛋白质的定量分析也显示,它们的整体表达模式具有惊人的相似性,尽管我们在一些样本对中观察到个别蛋白质水平有明显变化。原发性肿瘤和配对的ALN转移灶之间整体基因组和蛋白质组谱的显著相似性表明,一般来说,原发性乳腺肿瘤的关键生物学特征在相应的淋巴结转移灶中得以保留。鉴于基于组学的技术无法检测到仅在少数细胞亚群中发生的变化,我们使用IHC验证了蛋白质组学数据,IHC提供了具有重要拓扑成分的蛋白质表达信息。除了证实基于组学得出的数据外,IHC分析还显示,在两例病例中,ALN转移灶可能源自原发性肿瘤中一个独特的少数细胞亚群,而非大部分细胞。