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肿瘤中的基因组水平选择作为治疗抗性的通用标志物。

Genome-level selection in tumors as a universal marker of resistance to therapy.

作者信息

Persi Erez, Sudalagunta Praneeth R, Wolf Yuri I, Canevarolo Rafael R, Damaghi Mehdi, Shain Kenneth H, Silva Ariosto S, Koonin Eugene V

机构信息

Computational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.

Department of Metabolism and Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

出版信息

Nat Commun. 2025 Jul 16;16(1):6535. doi: 10.1038/s41467-025-61709-x.

Abstract

Tumor evolution is shaped by selective pressures imposed by physiological factors as the tumor naturally progresses to colonize local and distant tissues, as well as by therapy. However, the distinction between these two types of pressures and their impact on tumor evolution remain elusive, mainly, due to extensive intra-tumor heterogeneity. To disentangle the effects of these selective pressures, we analyze data from diverse cohorts of patients, of both treated and untreated cancers. We find that, despite the wide variation across patients, the selection strength on tumor genomes in individual patients is stable and largely unaffected by tumor progression in the primary settings, with some cancer-specific signatures detectable in the progression to metastases. However, we identify a nearly universal shift toward neutral evolution in tumors that resist treatment and demonstrate that this regime is associated with worse prognosis. We validate these findings on both published and original datasets. We suggest that monitoring the selection regime during cancer treatment can assist clinical decision-making in many cases.

摘要

肿瘤进化受到生理因素施加的选择压力的影响,随着肿瘤自然进展以侵袭局部和远处组织,同时也受到治疗的影响。然而,这两种类型的压力之间的区别及其对肿瘤进化的影响仍然难以捉摸,主要是由于肿瘤内广泛的异质性。为了厘清这些选择压力的影响,我们分析了来自不同队列的已治疗和未治疗癌症患者的数据。我们发现,尽管患者之间存在广泛差异,但个体患者肿瘤基因组上的选择强度是稳定的,在原发情况下很大程度上不受肿瘤进展的影响,在转移进展过程中可检测到一些癌症特异性特征。然而,我们发现在抗治疗的肿瘤中几乎普遍向中性进化转变,并证明这种状态与更差的预后相关。我们在已发表和原始数据集中验证了这些发现。我们建议在癌症治疗期间监测选择状态在许多情况下可以辅助临床决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6629/12263839/92784734f30c/41467_2025_61709_Fig1_HTML.jpg

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