Suppr超能文献

舌上皮中的 BMI1 阳性细胞可作为舌癌的癌症干细胞。

Bmi1-positive cells in the lingual epithelium could serve as cancer stem cells in tongue cancer.

机构信息

Department of Stem Cell Pathology, Kansai Medical University, 2-5-1 Shin-machi, Hirakata, Osaka 573-1010, Japan.

Third Department of Internal Medicine, Kansai Medical University, 2-5-1 Shin-machi, Hirakata, Osaka 573-1010, Japan.

出版信息

Sci Rep. 2016 Dec 22;6:39386. doi: 10.1038/srep39386.

Abstract

We recently reported that the polycomb complex protein Bmi1 is a marker for lingual epithelial stem cells (LESCs), which are involved in the long-term maintenance of lingual epithelial tissue in the physiological state. However, the precise role of LESCs in generating tongue tumors and Bmi1-positive cell lineage dynamics in tongue cancers are unclear. Here, using a mouse model of chemically (4-nitroquinoline-1-oxide: 4-NQO) induced tongue cancer and the multicolor lineage tracing method, we found that each unit of the tumor was generated by a single cell and that the assembly of such cells formed a polyclonal tumor. Although many Bmi1-positive cells within the tongue cancer specimens failed to proliferate, some proliferated continuously and supplied tumor cells to the surrounding area. This process eventually led to the formation of areas derived from single cells after 1-3 months, as determined using the multicolor lineage tracing method, indicating that such cells could serve as cancer stem cells. These results indicate that LESCs could serve as the origin for tongue cancer and that cancer stem cells are present in tongue tumors.

摘要

我们最近报道称,多梳蛋白复合物蛋白 Bmi1 是舌上皮干细胞(LESCs)的标志物,LESCs 参与舌上皮组织在生理状态下的长期维持。然而,LESCs 在产生舌肿瘤以及舌癌中 Bmi1 阳性细胞谱系动力学方面的确切作用尚不清楚。在这里,我们使用化学诱导(4-硝基喹啉 1-氧化物:4-NQO)的舌癌小鼠模型和多色谱系示踪方法,发现肿瘤的每个单位都是由单个细胞产生的,并且这些细胞的组装形成了多克隆肿瘤。尽管舌癌标本中的许多 Bmi1 阳性细胞未能增殖,但有些细胞持续增殖并向周围区域供应肿瘤细胞。这一过程最终导致在 1-3 个月后使用多色谱系示踪方法确定的源自单个细胞的区域的形成,表明这些细胞可以作为癌症干细胞。这些结果表明,LESCs 可能是舌癌的起源,并且舌肿瘤中存在癌症干细胞。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbd6/5177893/a7b2583c4333/srep39386-f1.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