PO.CL06.02 · 临床研究
儿科实体瘤中基因组驱动的分子分层及临床影响:STREAM项目的结果
Genome-driven molecular stratification and clinical impact in pediatric solid tumors: Results from the STREAM program
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
STREAM(儿科癌症战略性治疗与魔法,Strategic TREatment And Magic for pediatric cancers)项目于2023年3月启动,是一个面向儿科实体瘤的全国性精准医学平台,与以往以复发或高危疾病为中心的WGS研究不同,其主要纳入新诊断患者。该项目整合了肿瘤-种系全基因组测序、转录组和甲基组图谱分析、体外药物反应检测、集中化病理复核和多学科解读。在308例患者中,253例(82.1%)鉴定出体细胞驱动因素,共计404个基因中的1,082个事件。303例可评估患者中有32例(10.4%)发生致病性种系变异。基因组图谱分析在85例中细化了诊断,在20例中为预后分层提供了信息,并在99例患者中揭示了117个可作用靶点。来自58例患者的体外药物筛选产生了496个敏感和1,376个耐药的药物-肿瘤相互作用。基因组图谱显示出比成人癌症更低的突变负荷,并以细胞命运决定、器官发育和细胞周期控制的关键通路为主导。利用映射到经过整理的信号传导程序的驱动基因改变,我们进行了无监督聚类,鉴定出十个分子亚簇。其中若干代表了形态学未能捕获的生物学上连贯的群组:MAPK驱动的毛细胞型星形细胞瘤、朗格汉斯细胞组织细胞增生症和PLNTY构成一个簇;非典型畸胎样/横纹肌样瘤和幕上室管膜瘤通过共同的细胞周期和表观遗传失调而聚在一起;髓母细胞瘤则分离为WNT、SHH和异质性的第3-4组,后者以与同源重组缺陷相关的SBS39暴露为特征。为进行预后评估,我们分析了初诊实体瘤(n=185),排除了复发样本和血液系统恶性肿瘤。各簇间的生存差异显著(OS p=0.0071)。第6簇主要由具有生长因子受体和继发性信号改变的尤因肉瘤和横纹肌肉瘤组成,显示出最高的死亡率和复发频率,且是唯一达到中位OS的群组。第2、7和9簇未出现死亡;第2簇包含Hedgehog主导的髓母细胞瘤及相关纤维-骨性肿瘤;第7簇由偏向第3组的髓母细胞瘤和DNA修复改变的肿瘤组成;第9簇包括增殖信号驱动的肉瘤和神经母细胞瘤,未观察到复发。这些分子亚组还与体外药物反应模式显示出强烈的一致性。在这个全国性队列中,分子亚聚类增强了诊断分辨率,揭示了形态学所遗漏的通路定义的生物学特征,并提供了具有临床意义的预后分层。
查看英文原文 English abstract
The STREAM (Strategic TREatment And Magic for pediatric cancers) program, launched in March 2023, is a nation-wide precision-medicine platform for paediatric solid tumours and, unlike prior WGS studies centred on relapsed or high-risk disease, predominantly captures newly diagnosed patients. The programme integrates tumour-germline whole-genome sequencing, transcriptome and methylome profiling, in-vitro drug-response testing, centralised pathology review and multidisciplinary interpretation. Among 308 patients, somatic drivers were identified in 253 (82.1%), totalling 1,082 events across 404 genes. Pathogenic germline variants occurred in 32 of 303 evaluable patients (10.4%). Genomic profiling refined diagnosis in 85 cases, informed prognostic stratification in 20 and revealed 117 actionable targets across 99 patients. In-vitro drug screening from 58 patients yielded 496 sensitive and 1,376 resistant drug-tumour interactions. The genomic landscape showed lower mutational burden than adult cancers and was dominated by key pathways in cell-fate commitment, organ development and cell-cycle control. Using driver-gene alterations mapped to curated signalling programmes, we performed unsupervised clustering, identifying ten molecular sub-clusters. Several represented biologically coherent groups not captured by morphology: MAPK-driven pilocytic astrocytoma, Langerhans-cell histiocytosis and PLNTY formed one cluster; atypical teratoid/rhabdoid tumour and supratentorial ependymoma aligned through shared cell-cycle and epigenetic dysregulation; and medulloblastoma segregated into WNT, SHH and heterogeneous Group 3-4, the latter marked by SBS39 exposure linked to homologous-recombination deficiency. For prognostic evaluation, we analysed primary-diagnosis solid tumours (n=185), excluding relapse samples and haematologic malignancies. Survival differed significantly across clusters (OS p=0.0071). Cluster 6, composed mainly of Ewing sarcoma and rhabdomyosarcoma with growth-factor-receptor and secondary-signalling alterations, showed the highest mortality and relapse frequency and was the only group with a reached median OS. Clusters 2, 7 and 9 showed no deaths; Cluster 2 comprised Hedgehog-dominant medulloblastoma and related fibro-osseous tumours; Cluster 7 consisted of Group 3-leaning medulloblastoma and DNA-repair-altered tumours; and Cluster 9 included proliferative-signal-driven sarcomas and neuroblastoma, with no relapses observed. These molecular subgroups also showed strong concordance with in-vitro drug-response patterns. In this nation-wide cohort, molecular sub-clustering enhances diagnostic resolution, reveals pathway-defined biology missed by morphology and provides clinically meaningful prognostic stratification.
利益披露 Disclosure
J. Lee, None.
J. Koh,
Inocras Inc. Employment, Stock Option.
C. Kim,
Inocras Inc. Independent Contractor.
J. Kim, None..
S. Choi, None..
S. Kim, None..
S. Kim, None..
J. Phi, None.