在分子和细胞水平上可视化癌症异质性：来自罗塞塔的教训。

IF 29.7 1区医学 Q1 ONCOLOGY

Cancer discovery Pub Date : 2025-01-13 DOI:10.1158/2159-8290.CD-24-0016

Richard J A Goodwin, John F Marshall, George Poulogiannis, Mariia Yuneva, Kevin M Brindle, Zoltán Takáts, Owen J Sansom, Josephine Bunch, Simon T Barry

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引用次数: 0

摘要

了解肿瘤异质性是一项重大挑战，已被确认为首批癌症大挑战之一，呼吁提供可视化肿瘤异质性的解决方案。Rosetta 团队接受了这一挑战，利用以质谱成像为中心的空间组学方法的进步，以不同的分辨率绘制细胞和分子尺度的肿瘤异质性图。见 Bressan 等人的相关文章，第 16 页见 Stratton 等人的相关文章，第 22 页见 Bhattacharjee 等人的相关文章，第 28 页。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Visualizing Cancer Heterogeneity at the Molecular and Cellular Levels: Lessons from Rosetta.

Understanding tumor heterogeneity is a major challenge that was recognized as one of the first Cancer Grand Challenges, with a call to provide solutions to visualize tumor heterogeneity. The Rosetta team took on this challenge, exploiting advances in spatial-omics approaches centered around mass spectrometry imaging to map tumor heterogeneity at the cellular and molecular scales with different levels of resolution. See related article by Bressan et al., p. 16 See related article by Stratton et al., p. 22 See related article by Bhattacharjee et al., p. 28.

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来源期刊

Cancer discovery ONCOLOGY-

CiteScore

22.90

自引率

1.40%

发文量

838

审稿时长

6-12 weeks

期刊介绍： Cancer Discovery publishes high-impact, peer-reviewed articles detailing significant advances in both research and clinical trials. Serving as a premier cancer information resource, the journal also features Review Articles, Perspectives, Commentaries, News stories, and Research Watch summaries to keep readers abreast of the latest findings in the field. Covering a wide range of topics, from laboratory research to clinical trials and epidemiologic studies, Cancer Discovery spans the entire spectrum of cancer research and medicine.