Clonal driver neoantigen loss under EGFR TKI and immune selection pressures

生物 癌症研究 奥西默替尼 免疫系统 转移 免疫学 表皮生长因子受体 埃罗替尼 癌症 遗传学
作者
Maise Al Bakir,James L. Reading,Samuel Gamble,Rachel Rosenthal,Imran Uddin,Andrew Rowan,Joanna Przewrocka,Amber Rogers,Yien Ning Sophia Wong,Amalie Kai Bentzen,Selvaraju Veeriah,Sophia Ward,Aaron T. Garnett,Paula Kalavakur,Carlos Martínez‐Ruiz,Clare Puttick,Ariana Huebner,Daniel E. Cook,David A. Moore,Chris Abbosh
出处
期刊:Nature [Nature Portfolio]
被引量:1
标识
DOI:10.1038/s41586-025-08586-y
摘要

Abstract Neoantigen vaccines are under investigation for various cancers, including epidermal growth factor receptor ( EGFR )-driven lung cancers 1,2 . We tracked the phylogenetic history of an EGFR mutant lung cancer treated with erlotinib, osimertinib, radiotherapy and a personalized neopeptide vaccine (NPV) targeting ten somatic mutations, including EGFR exon 19 deletion (ex19del). The ex19del mutation was clonal, but is likely to have appeared after a whole-genome doubling (WGD) event. Following osimertinib and NPV treatment, loss of the ex19del mutation was identified in a progressing small-cell-transformed liver metastasis. Circulating tumour DNA analyses tracking 467 somatic variants revealed the presence of this EGFR wild-type clone before vaccination and its expansion during osimertinib/NPV therapy. Despite systemic T cell reactivity to the vaccine-targeted ex19del neoantigen, the NPV failed to halt disease progression. The liver metastasis lost vaccine-targeted neoantigens through chromosomal instability and exhibited a hostile microenvironment, characterized by limited immune infiltration, low CXCL9 and elevated M2 macrophage levels. Neoantigens arising post-WGD were more likely to be absent in the progressing liver metastasis than those occurring pre-WGD, suggesting that prioritizing pre-WGD neoantigens may improve vaccine design. Data from the TRACERx 421 cohort 3 provide evidence that pre-WGD mutations better represent clonal variants, and owing to their presence at multiple copy numbers, are less likely to be lost in metastatic transition. These data highlight the power of phylogenetic disease tracking and functional T cell profiling to understand mechanisms of immune escape during combination therapies.
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