小柯机器人

科学家绘制出人类肿瘤细胞系的转移图谱
2020-12-12 20:13

美国哈佛大学Todd R. Golub、Xin Jin等研究人员合作绘制出人类肿瘤细胞系的转移图谱。这一研究成果发表在2020年12月9日出版的国际学术期刊《自然》上。

研究人员报道了一种体内条形码策略,该策略能够按比例确定小鼠异种移植物中人类癌细胞系的转移潜力。研究人员验证了该方法的稳健性、可扩展性和可重复性,并将其应用于21种实体瘤的500个细胞系。研究人员创建了第一代转移图谱(MetMap),揭示了器官特定的转移模式,使这些模式与临床和基因组特征相关联。

研究人员通过检测能够转移到大脑的乳腺癌分子基础来证明了MetMap的实用性,这是这类癌症患者的主要死亡原因。能够转移到大脑的乳腺癌表现出脂质代谢的改变。这些细胞中脂质代谢的紊乱抑制了脑转移的进展,提示了一种对抗该疾病的治疗策略,并证明了MetMap作为支持转移研究资源的实用性。

据介绍,大多数癌症死因是通过转移来导致的,但是由于体内模型的复杂性,大规模的转移研究一直是不切实际的。

附:英文原文

Title: A metastasis map of human cancer cell lines

Author: Xin Jin, Zelalem Demere, Karthik Nair, Ahmed Ali, Gino B. Ferraro, Ted Natoli, Amy Deik, Lia Petronio, Andrew A. Tang, Cong Zhu, Li Wang, Danny Rosenberg, Vamsi Mangena, Jennifer Roth, Kwanghun Chung, Rakesh K. Jain, Clary B. Clish, Matthew G. Vander Heiden, Todd R. Golub

Issue&Volume: 2020-12-09

Abstract: Most deaths from cancer are explained by metastasis, and yet large-scale metastasis research has been impractical owing to the complexity of in vivo models. Here we introduce an in vivo barcoding strategy that is capable of determining the metastatic potential of human cancer cell lines in mouse xenografts at scale. We validated the robustness, scalability and reproducibility of the method and applied it to 500 cell lines1,2 spanning 21 types of solid tumour. We created a first-generation metastasis map (MetMap) that reveals organ-specific patterns of metastasis, enabling these patterns to be associated with clinical and genomic features. We demonstrate the utility of MetMap by investigating the molecular basis of breast cancers capable of metastasizing to the brain—a principal cause of death in patients with this type of cancer. Breast cancers capable of metastasizing to the brain showed evidence of altered lipid metabolism. Perturbation of lipid metabolism in these cells curbed brain metastasis development, suggesting a therapeutic strategy to combat the disease and demonstrating the utility of MetMap as a resource to support metastasis research.

DOI: 10.1038/s41586-020-2969-2

Source: https://www.nature.com/articles/s41586-020-2969-2

Nature:《自然》,创刊于1869年。隶属于施普林格·自然出版集团,最新IF:69.504
官方网址:http://www.nature.com/
投稿链接:http://www.nature.com/authors/submit_manuscript.html


本期文章:《自然》:Online/在线发表

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