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首页> 外文期刊>BMC Cancer >Colon cancer molecular subtypes identified by expression profiling and associatedto stroma, mucinous type and different clinical behavior
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Colon cancer molecular subtypes identified by expression profiling and associatedto stroma, mucinous type and different clinical behavior

机译:通过表达谱鉴定的结肠癌分子亚型,并与间质,粘液型和不同的临床行为相关

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Background Colon cancer patients with the same stage show diverse clinical behavior dueto tumor heterogeneity. We aimed to discover distinct classes of tumorsbased on microarray expression patterns, to analyze whether the molecularclassification correlated with the histopathological stages or otherclinical parameters and to study differences in the survival. Methods Hierarchical clustering was performed for class discovery in 88 colon tumors(stages I to IV). Pathways analysis and correlations between clinicalparameters and our classification were analyzed. Tumor subtypes werevalidated using an external set of 78 patients. A 167 gene signatureassociated to the main subtype was generated using the 3-Nearest-Neighbormethod. Coincidences with other prognostic predictors were assesed. Results Hierarchical clustering identified four robust tumor subtypes withbiologically and clinically distinct behavior. Stromal components(p?Conclusions We have identified novel molecular subtypes in colon cancer with distinctbiological and clinical behavior that are established from the initiation ofthe tumor. Tumor microenvironment is important for the classification andfor the malignant power of the tumor. Differential gene sets and biologicalpathways characterize each tumor subtype reflecting underlying mechanisms ofcarcinogenesis that may be used for the selection of targeted therapeuticprocedures. This classification may contribute to an improvement in themanagement of the patients with CRC and to a more comprehensiveprognosis.
机译:背景处于同一阶段的结肠癌患者由于肿瘤的异质性而表现出多种临床行为。我们旨在基于微阵列表达模式发现不同类别的肿瘤,以分析分子分类是否与组织病理学阶段或其他临床参数相关,并研究存活率的差异。方法对88例结肠癌(Ⅰ〜Ⅳ期)进行分类发现。分析了临床参数与我们的分类之间的路径分析和相关性。使用78名外部患者对肿瘤亚型进行了验证。使用3-Nearest-Neighbormethod生成与主要亚型相关的167个基因签名。评估与其他预后预测因素的符合性。结果层次聚类确定了四种具有生物学和临床不同行为的强大肿瘤亚型。基质成分(p?结论)我们已经确定了结肠癌中具有新颖生物学和临床行为的新型分子亚型,这些分子亚型是从肿瘤起源就建立的。肿瘤微环境对于肿瘤的分类和恶性能力具有重要意义。每种反映肿瘤发生机理的肿瘤亚型可用于选择靶向治疗方法,这种分类可能有助于改善CRC患者的治疗,并有助于更全面的预后。

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