克隆(Java方法)
多样性(政治)
生物
癌症
肺癌
计算生物学
进化生物学
遗传学
肿瘤科
医学
基因
政治学
法学
作者
Piotr Pawlik,Kristiana Grigoriadis,Abigail Bunkum,Helena Coggan,Alexander M. Frankell,Carlos Martínez‐Ruiz,Takahiro Karasaki,Ariana Huebner,Andrew Rowan,Jasmin Fisher,Allan Hackshaw,Charles Swanton,Simone Zaccaria,Nicholas McGranahan
出处
期刊:Nature
[Nature Portfolio]
日期:2025-08-13
卷期号:646 (8083): 190-197
被引量:5
标识
DOI:10.1038/s41586-025-09398-w
摘要
Abstract Both single nucleotide variants (SNVs) and somatic copy number alterations (SCNAs) accumulate in cancer cells during tumour development, fuelling clonal evolution. However, accurate estimation of clone-specific copy numbers from bulk DNA-sequencing data is challenging. Here we present allele-specific phylogenetic analysis of copy number alterations (ALPACA), a method to infer SNV and SCNA coevolution by leveraging phylogenetic trees reconstructed from multi-sample bulk tumour sequencing data using SNV frequencies. ALPACA estimates the SCNA evolution of simulated tumours with a higher accuracy than current state-of-the-art methods 1–4 . ALPACA uncovers loss-of-heterozygosity and amplification events in minor clones that may be missed using standard approaches and reveals the temporal order of somatic alterations. Analysing clone-specific copy numbers in TRACERx421 lung tumours 5,6 , we find evidence of increased chromosomal instability in metastasis-seeding clones and enrichment for losses affecting tumour suppressor genes and amplification affecting CCND1 . Furthermore, we identify increased SCNA rates in both tumours with polyclonal metastatic dissemination and tumours with extrathoracic metastases, and an association between higher clone copy number diversity and reduced disease-free survival in patients with lung cancer.
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