LBPO.TB03 · 肿瘤生物学 · Late-Breaking

亚型特异性进化约束塑造成人弥漫性胶质瘤的基因组结构

Subtype-specific evolutionary constraints shape the genomic architecture of adult diffuse gliomas

海报缩略图:亚型特异性进化约束塑造成人弥漫性胶质瘤的基因组结构
编号 LB496 展板 15 时间 4/22 09:00–12:00 区域 Section 54 主讲 Thomas Veith
分会场 Late-Breaking Research: Tumor Biology 3
查看 PDF 下载 PDF 🔒 查看 / 下载完整 PDF 需登录并开通下载套餐 · 查看套餐 / 开通 AACR 官方页面

作者与单位 Authors & Affiliations

Thomas Veith1, Yewon Kim2, Sergio Chavez1, Adriana Morales Miranda1, Wen Luo3, Weiyin Zhou3, Tongwu Zhang1

1Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD,2Center for Cancer Research, National Cancer Institute, Bethesda, MD,3Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD

摘要 Abstract

中文摘要
弥漫性胶质瘤是成人中最常见的恶性原发性脑肿瘤,表现出显著的临床和生物学异质性。2021年WHO分类整合组织学和分子特征,将成人型弥漫性胶质瘤定义为星形细胞瘤(AST),IDH突变型;少突胶质细胞瘤(ODG),IDH突变型且1p/19q共缺失;以及胶质母细胞瘤(GBM),IDH野生型。尽管先前的TCGA及其他全外显子组测序研究已表征了泛胶质瘤的关键基因组特征,但跨亚型的基因组事件的时间顺序和进化异质性仍未被完全理解。在此,我们分析了来自798名患者的814个肿瘤样本(涵盖胶质母细胞瘤和低级别胶质瘤)的全基因组测序数据。根据IDH1/2突变和1p/19q共缺失状态对肿瘤进行重新分类。使用一种新型计算框架来推断亚克隆结构和事件时序,我们鉴定了跨胶质瘤亚型的不同进化轨迹。GBM表现出高度异质的进化路径,由影响主要致癌通路的早期拷贝数改变驱动,全基因组加倍(WGD)在部分肿瘤中较晚出现。相比之下,ODG遵循一个紧密约束的进化程序,由早期IDH突变和1p/19q共缺失启动,随后的改变相对较少,包括CIC和FUBP1突变以及不频繁的WGD。AST表现出一种中间的、逐步的轨迹,特征为早期TP53和IDH1突变,随后是ATRX缺失以及拷贝数改变的逐渐累积。TP53突变在GBM和AST中作为最早的克隆事件发生,但在ODG中罕见且发生较晚。从头进化建模进一步揭示了GBM和AST内的两条不同轨迹。GBM分为一组由早期、多样化拷贝数改变驱动,以及第二组遵循以突变锚定的、逐步进化并以反复出现的20号染色体获得为标志。AST类似地分为一条早期、级联TP53驱动的进化轨迹,特征为进行性TP53等位基因失衡和显著更差的生存。相比之下,第二组表现出一条更异质的进化路径,涉及染色质和转录调控因子的早期改变。总之,这些发现定义了跨弥漫性胶质瘤的亚型特异性时间约束和进化异质性,为可能指导预后分层和精准治疗策略的早期克隆事件提供了具有临床相关性的见解。
查看英文原文 English abstract
Diffuse gliomas are the most common malignant primary brain tumors in adults and exhibit substantial clinical and biological heterogeneity. The 2021 WHO Classification integrates histologic and molecular features to define adult-type diffuse gliomas as astrocytoma (AST), IDH-mutant; oligodendroglioma (ODG), IDH-mutant and 1p/19q-codeleted; and glioblastoma (GBM), IDH-wildtype. Although prior TCGA and other whole-exome sequencing studies have characterized key genomic features of pan-gliomas, the temporal ordering and evolutionary heterogeneity of genomic events across subtypes remain incompletely understood. Here, we analyzed whole-genome sequencing data from 814 tumor samples across 798 patients spanning glioblastoma and lower-grade gliomas. Tumors were reclassified based on IDH1/2 mutation and 1p/19q codeletion status. Using a novel computational framework to infer subclonal architecture and event timing, we identified distinct evolutionary trajectories across glioma subtypes. GBM exhibited highly heterogeneous evolutionary paths driven by early copy-number alterations affecting major oncogenic pathways, with whole-genome duplication (WGD) emerging later in a subset of tumors. In contrast, ODG followed a tightly constrained evolutionary program initiated by early IDH mutation and 1p/19q codeletion, with relatively few subsequent alterations, including CIC and FUBP1 mutations and infrequent WGD. AST displayed an intermediate, stepwise trajectory characterized by early TP53 and IDH1 mutations, followed by ATRX loss and gradual accumulation of copy-number alterations. TP53 mutations occurred as the earliest clonal events in GBM and AST but were rare and late in ODG.De novo evolutionary modeling further revealed two distinct trajectories within GBM and AST. GBM segregated into one group driven by early, diverse copy-number alterations and a second group following a mutation-anchored, stepwise evolution marked by recurrent chromosome 20 gain. AST similarly divided into an early, cascade TP53 -driven evolutionary trajectory characterized by progressive TP53 allelic imbalance and significantly worse survival. In contrast, a second group exhibited a more heterogeneous evolutionary route involving early alterations in chromatin and transcriptional regulators.Together, these findings define subtype-specific temporal constraints and evolutionary heterogeneity across diffuse gliomas, providing clinically relevant insights into early clonal events that may inform prognostic stratification and guide precision therapeutic strategies.
利益披露 Disclosure
T. Veith, None.. Y. Kim, None.. S. Chavez, None.. A. Miranda, None.. W. Luo, None.. W. Zhou, None.. T. Zhang, None.

← 返回 AACR 2026 检索