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首页> 外文期刊>BMC Veterinary Research >Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer
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Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer

机译：探索人类乳腺癌的淋巴结浸润与癌症预后之间的分子联系

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BackgroundLymph node invasion is one of the most powerful clinical factors in cancer prognosis. However, molecular level signatures of their correlation are remaining poorly understood. Here, we propose a new approach, monotonically expressed gene analysis (MEGA), to correlate transcriptional patterns of lymph node invasion related genes with clinical outcome of breast cancer patients.ResultsUsing MEGA, we scored all genes with their transcriptional patterns over progression levels of lymph node invasion from 278 non-metastatic breast cancer samples. Applied on 65 independent test data, our gene sets of top 20 scores (positive and negative correlations) showed significant associations with prognostic measures such as cancer metastasis, relapse and survival. Our method showed better accuracy than conventional two class comparison methods. We could also find that expression patterns of some genes are strongly associated with stage transition of pathological T and N at specific time. Additionally, some pathways including T-cell immune response and wound healing serum response are expected to be related with cancer progression from pathway enrichment and common motif binding site analyses of the inferred gene sets.ConclusionsBy applying MEGA, we can find possible molecular links between lymph node invasion and cancer prognosis in human breast cancer, supported by evidences of feasible gene expression patterns and significant results of meta-analysis tests.
机译：背景淋巴结浸润是癌症预后中最有力的临床因素之一。然而，人们对它们之间相关性的分子水平特征还知之甚少。在本文中，我们提出了一种新的方法，即单调表达基因分析（MEGA），将淋巴结侵袭相关基因的转录模式与乳腺癌患者的临床结局相关联。结果使用MEGA，我们对所有基因的转录模式在淋巴进展水平上进行了评分来自278个非转移性乳腺癌样本的淋巴结浸润。应用65个独立的测试数据，我们的前20个得分（正相关和负相关）的基因组显示出与预后指标（如癌症转移，复发和生存）的显着相关性。我们的方法显示出比常规的两类比较方法更好的准确性。我们还可以发现某些基因的表达模式在特定时间与病理性T和N的阶段转变密切相关。此外，通过推断基因集的途径富集和常见基序结合位点分析，预期包括T细胞免疫反应和伤口愈合血清反应在内的某些途径可能与癌症进展有关。结论通过应用MEGA，我们可以发现淋巴之间的可能分子联系人乳腺癌的淋巴结转移和癌症预后得到了可行的基因表达模式和荟萃分析测试结果的支持。

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