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Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis

机译:与淋巴结转移相关的原发性乳腺癌中的差异基因表达。

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Lymph node status remains one of the most useful prognostic indicators in breast cancer; however, current methods to assess nodal status disrupt the lymphatic system and may lead to secondary complications. Identification of molecular signatures discriminating lymph node-positive from lymph node-negative primary tumors would allow for stratification of patients requiring surgical assesment of lymph nodes. Primary breast tumors from women with negative (n=41) and positive (n=35) lymph node status matched for possible confounding factors were subjected to laser microdissection and gene expression data generated. Although ANOVA analysis (P<.001, fold-change >1.5) revealed 13 differentially expressed genes, hierarchical clustering classified 90% of node-negative but only 66% of node-positive tumors correctly. The inability to derive molecular profiles of metastasis in primary tumors may reflect tumor heterogeneity, paucity of cells within the primary tumor with metastatic potential, influence of the microenvironment, or inherited host susceptibility to metastasis.
机译:淋巴结状态仍然是乳腺癌最有用的预后指标之一。但是,目前评估淋巴结状态的方法会破坏淋巴系统,并可能导致继发并发症。鉴别区分淋巴结阳性和淋巴结阴性的原发性肿瘤的分子标记将允许对需要手术评估淋巴结的患者进行分层。对淋巴结阴性(n = 41)和阳性(n = 35)妇女的原发性乳腺肿瘤进行了可能的混杂因素匹配后,进行了激光显微切割并产生了基因表达数据。尽管ANOVA分析(P <.001,倍数变化> 1.5)显示了13个差异表达的基因,但层次聚类正确地将90%的淋巴结阴性肿瘤分类为正确的淋巴结阳性肿瘤,但仅将66%的淋巴结阳性肿瘤正确分类。无法获得原发性肿瘤转移分子概况的信息可能反映了肿瘤异质性,原发性肿瘤内具有转移潜力的细胞稀少,微环境的影响或遗传性宿主对转移的易感性。

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