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计算机与临床中罕见癌症突变的中性进化

Neutral evolution of rare cancer mutations in the computer and the clinic.

作者信息

Beckman Robert A

机构信息

Department of Oncology, Georgetown University Medical Center, Washington, DC, USA.

Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC, USA.

出版信息

NPJ Syst Biol Appl. 2024 Oct 2;10(1):110. doi: 10.1038/s41540-024-00436-3.

Abstract

A distinct model of neutral evolution of rare cancer mutations is described and contrasted with models relying on the infinite sites approximation (that a specific mutation arises in only one cell at any instant). An explosion of genetic diversity is predicted at clinical cell numbers and may explain the progressive refractoriness of cancers during a clinical course. The widely used infinite sites assumption may not be applicable for clinical cancers.

摘要

本文描述了一种独特的罕见癌症突变中性进化模型,并将其与依赖无限位点近似法的模型(即在任何时刻特定突变仅在一个细胞中出现)进行对比。预计在临床细胞数量时会出现遗传多样性的爆发,这可能解释了癌症在临床过程中逐渐产生的耐药性。广泛使用的无限位点假设可能不适用于临床癌症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05dd/11447017/ec1ea8795db5/41540_2024_436_Fig1_HTML.jpg

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