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MYC通过重新编程神经内分泌命运来驱动小细胞肺癌亚型的进化
作者:小柯机器人 发布时间:2020/6/1 20:06:35

近日,美国犹他大学Trudy G. Oliver小组发现,MYC通过重新编程神经内分泌命运来驱动小细胞肺癌(SCLC)亚型的进化。该项研究成果于2020年5月30日在线发表在《癌细胞》杂志上。

研究人员将小鼠和人类模型与时间序列单细胞转录组分析联用,来揭示了MYC驱动SCLC亚型的动态进化。在神经内分泌细胞中,MYC激活Notch使肿瘤细胞去分化,从而促进SCLC从ASCL1+到NEUROD1+再到YAP1+的时间转变。MYC从不同的细胞类型中促进POU2F3+肿瘤。人SCLC表现出肿瘤内亚型异质性,并表明这种动态进化发生在患者肿瘤中。这些发现表明,遗传、起源细胞和肿瘤细胞可塑性决定了SCLC亚型。
 
据了解,小细胞肺癌(SCLC)是一种神经内分泌肿瘤,在临床上被视为单一疾病,但预后不良。已基于ASCL1、NEUROD1、POU2F3或YAP1的表达定义了不同的SCLC分子亚型。
 
附:英文原文

Title: MYC Drives Temporal Evolution of Small Cell Lung Cancer Subtypes by Reprogramming Neuroendocrine Fate

Author: Abbie S. Ireland, Alexi M. Micinski, David W. Kastner, Bingqian Guo, Sarah J. Wait, Kyle B. Spainhower, Christopher C. Conley, Opal S. Chen, Matthew R. Guthrie, Danny Soltero, Yi Qiao, Xiaomeng Huang, Szabolcs Tarapcsák, Siddhartha Devarakonda, Milind D. Chalishazar, Jason Gertz, Justin C. Moser, Gabor Marth, Sonam Puri, Benjamin L. Witt, Benjamin T. Spike, Trudy G. Oliver

Issue&Volume: 2020-05-30

Abstract: Small cell lung cancer (SCLC) is a neuroendocrine tumor treated clinically as a single disease with poor outcomes. Distinct SCLC molecular subtypes have been defined based on expression of ASCL1, NEUROD1, POU2F3, or YAP1. Here, we use mouse and human models with a time-series single-cell transcriptome analysis to reveal that MYC drives dynamic evolution of SCLC subtypes. In neuroendocrine cells, MYC activates Notch to dedifferentiate tumor cells, promoting a temporal shift in SCLC from ASCL1+ to NEUROD1+ to YAP1+ states. MYC alternatively promotes POU2F3+ tumors from a distinct cell type. Human SCLC exhibits intratumoral subtype heterogeneity, suggesting that this dynamic evolution occurs in patient tumors. These findings suggest that genetics, cell of origin, and tumor cell plasticity determine SCLC subtype.

DOI: 10.1016/j.ccell.2020.05.001

Source: https://www.cell.com/cancer-cell/fulltext/S1535-6108(20)30218-X

期刊信息

Cancer Cell:《癌细胞》,创刊于2002年。隶属于细胞出版社,最新IF:23.916
官方网址:https://www.cell.com/cancer-cell/home
投稿链接:https://www.editorialmanager.com/cancer-cell/default.aspx