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基质对结直肠癌转录组的贡献。

Stromal contribution to the colorectal cancer transcriptome.

机构信息

1] Candiolo Cancer Institute, Fondazione Piemontese per l'Oncologia'Istituto di Ricovero e Cura a Carattere Scientifico (FRO-IRCCS), Candiolo, Italy. [2] Department of Oncology, University of Torino, Candiolo, Italy.

Department of Oncology, University of Torino, Candiolo, Italy.

出版信息

Nat Genet. 2015 Apr;47(4):312-9. doi: 10.1038/ng.3224. Epub 2015 Feb 23.


DOI:10.1038/ng.3224
PMID:25706627
Abstract

Recent studies identified a poor-prognosis stem/serrated/mesenchymal (SSM) transcriptional subtype of colorectal cancer (CRC). We noted that genes upregulated in this subtype are also prominently expressed by stromal cells, suggesting that SSM transcripts could derive from stromal rather than epithelial cancer cells. To test this hypothesis, we analyzed CRC expression data from patient-derived xenografts, where mouse stroma supports human cancer cells. Species-specific expression analysis showed that the mRNA levels of SSM genes were mostly due to stromal expression. Transcriptional signatures built to specifically report the abundance of cancer-associated fibroblasts (CAFs), leukocytes or endothelial cells all had significantly higher expression in human CRC samples of the SSM subtype. High expression of the CAF signature was associated with poor prognosis in untreated CRC, and joint high expression of the stromal signatures predicted resistance to radiotherapy in rectal cancer. These data show that the distinctive transcriptional and clinical features of the SSM subtype can be ascribed to its particularly abundant stromal component.

摘要

最近的研究确定了一种预后不良的结直肠癌(CRC)的干细胞/锯齿状/间充质(SSM)转录亚型。我们注意到,这种亚型中上调的基因也在基质细胞中显著表达,这表明 SSM 转录本可能来自基质而不是上皮癌细胞。为了验证这一假设,我们分析了源自患者衍生的异种移植物的 CRC 表达数据,其中小鼠基质支持人类癌细胞。种间特异性表达分析表明,SSM 基因的 mRNA 水平主要归因于基质表达。专门用于报告癌相关成纤维细胞(CAF)、白细胞或内皮细胞丰度的转录特征在 SSM 亚型的人类 CRC 样本中均具有显著更高的表达。CAF 特征的高表达与未经治疗的 CRC 的不良预后相关,而基质特征的共同高表达预测直肠癌对放疗的耐药性。这些数据表明,SSM 亚型独特的转录和临床特征可以归因于其特别丰富的基质成分。

相似文献

[1]
Stromal contribution to the colorectal cancer transcriptome.

Nat Genet. 2015-2-23

[2]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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Transformative insights from transcriptome analysis of colorectal cancer patient tissues: identification of four key prognostic genes.

PeerJ. 2025-8-20

[2]
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Front Immunol. 2025-7-3

[3]
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bioRxiv. 2025-5-10

[4]
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[7]
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[8]
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