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癌症细胞的迁移:系统发生生物地理学的视角。

Migrations of cancer cells through the lens of phylogenetic biogeography.

机构信息

Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, 19122, USA.

Department of Biology, Temple University, Philadelphia, PA, 19122, USA.

出版信息

Sci Rep. 2021 Aug 25;11(1):17184. doi: 10.1038/s41598-021-96215-9.

Abstract

Malignant cells leave their initial tumor of growth and disperse to other tissues to form metastases. Dispersals also occur in nature when individuals in a population migrate from their area of origin to colonize other habitats. In cancer, phylogenetic biogeography is concerned with the source and trajectory of cell movements. We examine the suitability of primary features of organismal biogeography, including genetic diversification, dispersal, extinction, vicariance, and founder effects, to describe and reconstruct clone migration events among tumors. We used computer-simulated data to compare fits of seven biogeographic models and evaluate models' performance in clone migration reconstruction. Models considering founder effects and dispersals were often better fit for the clone phylogenetic patterns, especially for polyclonal seeding and reseeding of metastases. However, simpler biogeographic models produced more accurate estimates of cell migration histories. Analyses of empirical datasets of basal-like breast cancer had model fits consistent with the patterns seen in the analysis of computer-simulated datasets. Our analyses reveal the powers and pitfalls of biogeographic models for modeling and inferring clone migration histories using tumor genome variation data. We conclude that the principles of molecular evolution and organismal biogeography are useful in these endeavors but that the available models and methods need to be applied judiciously.

摘要

恶性细胞离开其初始生长肿瘤并扩散到其他组织形成转移。当种群中的个体从其起源地迁移到其他栖息地殖民时,也会发生扩散。在癌症中,系统发生生物地理学关注细胞运动的来源和轨迹。我们研究了生物体生物地理学的主要特征的适宜性,包括遗传多样化、扩散、灭绝、隔离和奠基者效应,以描述和重建肿瘤之间克隆迁移事件。我们使用计算机模拟数据比较了七个生物地理模型的拟合度,并评估了模型在克隆迁移重建中的性能。考虑奠基者效应和扩散的模型通常更适合克隆系统发育模式,特别是对于多克隆播种和转移瘤的再播种。然而,更简单的生物地理模型可以更准确地估计细胞迁移历史。对基底样乳腺癌的实证数据集的分析与计算机模拟数据集分析中观察到的模式一致。我们的分析揭示了生物地理模型在使用肿瘤基因组变异数据对克隆迁移历史进行建模和推断方面的优势和缺陷。我们的结论是,分子进化和生物体生物地理学的原则在这些努力中是有用的,但需要明智地应用现有的模型和方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/519b/8387374/f599241d865a/41598_2021_96215_Fig1_HTML.jpg

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