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Cancer-cell intrinsic gene expression signatures overcome intratumoural heterogeneity bias in colorectal cancer patient classification

机译:癌细胞内在基因表达特征克服了大肠癌患者分类中肿瘤内异质性的偏见

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摘要

Stromal-derived intratumoural heterogeneity (ITH) has been shown to undermine molecular stratification of patients into appropriate prognostic/predictive subgroups. Here, using several clinically relevant colorectal cancer (CRC) gene expression signatures, we assessed the susceptibility of these signatures to the confounding effects of ITH using gene expression microarray data obtained from multiple tumour regions of a cohort of 24 patients, including central tumour, the tumour invasive front and lymph node metastasis. Sample clustering alongside correlative assessment revealed variation in the ability of each signature to cluster samples according to patient-of-origin rather than region-of-origin within the multi-region dataset. Signatures focused on cancer-cell intrinsic gene expression were found to produce more clinically useful, patient-centred classifiers, as exemplified by the CRC intrinsic signature (CRIS), which robustly clustered samples by patient-of-origin rather than region-of-origin. These findings highlight the potential of cancer-cell intrinsic signatures to reliably stratify CRC patients by minimising the confounding effects of stromal-derived ITH.
机译:基质基质肿瘤内异质性(ITH)已显示破坏患者的分子分层,使其成为适当的预后/预测亚组。在这里,我们使用几种临床相关的结直肠癌(CRC)基因表达特征,使用从24例患者的多个肿瘤区域获得的基因表达微阵列数据,评估了这些特征对ITH混杂效应的敏感性,其中包括中心肿瘤,肿瘤浸润性前,淋巴结转移。样本聚类与相关评估一起揭示了每个签名根据患者来源而不是多区域数据集中的来源区域对样本进行聚类的能力的变化。发现集中于癌细胞内在基因表达的签名产生了更多临床上有用的,以患者为中心的分类器,例如CRC内在签名(CRIS),它通过起源于患者而不是起源于区域的方法强有力地聚集了样本。这些发现凸显了癌细胞内在特征通过将基质来源的ITH的混杂效应降至最低而可靠地将CRC患者分层的潜力。

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