Suppr超能文献

个体导管原位癌病变的基因表达特征可识别与向浸润性导管癌进展相关的过程和生物标志物。

Gene expression signatures of individual ductal carcinoma in situ lesions identify processes and biomarkers associated with progression towards invasive ductal carcinoma.

机构信息

Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.

Department of Pathology & Laboratory Medicine, East Carolina University Brody School of Medicine, Greenville, NC, USA.

出版信息

Nat Commun. 2022 Jun 13;13(1):3399. doi: 10.1038/s41467-022-30573-4.

Abstract

Ductal carcinoma in situ (DCIS) is considered a non-invasive precursor to breast cancer, and although associated with an increased risk of developing invasive disease, many women with DCIS will never progress beyond their in situ diagnosis. The path from normal duct to invasive ductal carcinoma (IDC) is not well understood, and efforts to do so are hampered by the substantial heterogeneity that exists between patients, and even within patients. Here we show gene expression analysis from > 2,000 individually micro-dissected ductal lesions representing 145 patients. Combining all samples into one continuous trajectory we show there is a progressive loss in basal layer integrity heading towards IDC, coupled with two epithelial to mesenchymal transitions, one early and a second coinciding with the convergence of DCIS and IDC expression profiles. We identify early processes and potential biomarkers, including CAMK2N1, MNX1, ADCY5, HOXC11 and ANKRD22, whose reduced expression is associated with the progression of DCIS to invasive breast cancer.

摘要

导管原位癌 (DCIS) 被认为是乳腺癌的非浸润性前体,尽管与发展为浸润性疾病的风险增加有关,但许多患有 DCIS 的女性的原位诊断不会进展。从正常导管到浸润性导管癌 (IDC) 的途径尚不清楚,并且由于患者之间甚至患者内部存在大量异质性,因此很难进行这种研究。在这里,我们展示了来自 145 名患者的超过 2000 个单独微解剖导管病变的基因表达分析。我们将所有样本组合成一个连续的轨迹,显示出朝向 IDC 的基底细胞完整性逐渐丧失,同时发生两次上皮到间充质转化,一次早期,另一次与 DCIS 和 IDC 表达谱的收敛同时发生。我们确定了早期的过程和潜在的生物标志物,包括 CAMK2N1、MNX1、ADCY5、HOXC11 和 ANKRD22,它们的表达降低与 DCIS 进展为浸润性乳腺癌有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a5a/9192778/25db2fd43821/41467_2022_30573_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验