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Integrated omics profiling reveals novel patterns of epigenetic programming in cancer-associated myofibroblasts

机译:整合的组学分析揭示了癌症相关的成肌纤维细胞表观遗传学编程的新模式

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摘要

There is increasing evidence that stromal myofibroblasts play a key role in the tumour development however, the mechanisms by which they become reprogrammed to assist in cancer progression remain unclear. As cultured cancer-associated myofibroblasts (CAMs) retain an ability to enhance the proliferation and migration of cancer cells in vitro, it is possible that epigenetic reprogramming of CAMs within the tumour microenvironment may confer long-term pro-tumourigenic changes in gene expression. This study reports the first comparative multi-omics analysis of cancer-related changes in gene expression and DNA methylation in primary myofibroblasts derived from gastric and oesophageal tumours. In addition, we identify novel CAM-specific DNA methylation signatures, which are not observed in patient-matched adjacent tissue-derived myofibroblasts, or corresponding normal tissue-derived myofibroblasts. Analysis of correlated changes in DNA methylation and gene expression shows that different patterns of gene-specific DNA methylation have the potential to confer pro-tumourigenic changes in metabolism, cell signalling and differential responses to hypoxia. These molecular signatures provide new insights into potential mechanisms of stromal reprogramming in gastric and oesophageal cancer, while also providing a new resource to facilitate biomarker identification and future hypothesis-driven studies into mechanisms of stromal reprogramming and tumour progression in solid tumours.
机译:越来越多的证据表明,基质肌成纤维细胞在肿瘤发展中起着关键作用,但是,它们被重新编程以协助癌症进展的机制仍不清楚。由于培养的与癌症相关的成肌纤维细胞(CAM)在体外具有增强癌细胞增殖和迁移的能力,因此在肿瘤微环境中对CAMs进行表观遗传重编程可能会赋予基因表达长期促肿瘤的改变。这项研究报告了首次比较的多组学分析,涉及胃和食道肿瘤衍生的原代成肌纤维细胞中基因表达和DNA甲基化的癌症相关变化。此外,我们确定了新的CAM特异性DNA甲基化签名,在患者匹配的相邻组织衍生的成纤维细胞或相应的正常组织衍生的成纤维细胞中未观察到。对DNA甲基化和基因表达的相关变化的分析表明,基因特异性DNA甲基化的不同模式具有赋予代谢,细胞信号转导和对缺氧的不同反应的促肿瘤原性变化的潜力。这些分子标记为胃和食道癌的基质重编程的潜在机制提供了新的见识,同时也提供了新的资源来促进生物标志物的鉴定以及未来由假设驱动的对实体瘤中基质重编程和肿瘤进展机制的研究。

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