PO.CL09.01 · 临床研究

真实世界患者人群中胰腺癌的大规模基因组分析

Large-scale genomic analysis of pancreatic cancer in a real-world patient population

海报缩略图:真实世界患者人群中胰腺癌的大规模基因组分析
编号 5345 展板 13 时间 4/21 09:00–12:00 区域 Section 46 主讲 Avinash Ramu, PhD
分会场 Precision Oncology and Real World Data
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作者与单位 Authors & Affiliations

Avinash Ramu1, Vasily Aushev1, J. Bryce Ortiz1, Alyssa Antonopoulos1, Maria Diab2, Philip A. Philip3, David Kwon3, Soma Subramaniam1, Adham Jurdi1, Gregory P. Botta4

1Natera, Inc., Austin, TX,2Division of Hematology and Medical Oncology, Department of Internal Medicine, Henry Ford Health and Michigan State University, Detroit, MI,3Henry Ford Pancreatic Cancer Center, and Department of Surgery, Henry Ford Health, Detroit, MI,4Division of Hematology and Oncology, Department of Medicine, University of California San Diego Moores Cancer Center, La Jolla, CA

摘要 Abstract

中文摘要
胰腺癌(PC)仍是最致命的恶性肿瘤之一,近几十年来生存率改善甚微。关于基因组改变如何影响PC生物学和治疗反应,仍存在基本问题。利用一个大型多模态真实世界基因组数据库,我们试图刻画PC的突变和转录图谱,并识别可能为未来精准医学方法提供参考的模式。我们分析了纳入Natera专有真实世界数据库的PC患者肿瘤组织样本的全外显子组测序(WES)数据。测序作为2019年5月至2024年11月间设计的肿瘤指导、个体化Signatera™循环肿瘤DNA检测的一部分进行。在排除低肿瘤突变负荷和低变异等位基因频率的病例后,共纳入3,664例患者进行分析。变异检出使用Mutect2和VarScan2进行。对于患病率分析,仅纳入非同义体细胞SNV和INDEL。对128个癌症易感基因在肿瘤和正常样本中进行了胚系变异分析;保留ClinVar致病/可能致病(P/LP)胚系变异。来自Altera™肿瘤基因组分析检测(Natera公司)的RNA测序数据可用于658例患者,其中391例具有匹配的WES数据。在3,664例PC患者中,男女比例为[50%/50%],分期分布为:I期(14.6%)、II期(24.4%)、III期(24.8%)、IV期(28.2%)和未知(7.9%)。遗传血统构成包括欧洲(74.5%)、非洲(10.9%)、拉丁裔/混合美洲(7.9%)、东亚(5.0%)和南亚(1.5%)人群。最频繁发生体细胞突变的基因为KRAS(78%)、TP53(62%)、CDKN2A(18%)、SMAD4(18%)和ARID1A(8%)。最常见的个体体细胞变异为KRAS G12D(32%)、KRAS G12V(25%)、KRAS G12R(13%)、TP53 R175H(5%)和KRAS Q61H(4%)。在基因或变异水平频率上均未观察到基于血统的统计学显著差异。在210例患者中检测到P/LP胚系变异,涵盖34个基因中的149个独特变异,最常见的为ATM、BRCA2、MUTYH、BRCA1和PALB2。在RNA-Seq分析的肿瘤中,表达分析识别出具有基底样和经典分子亚型的患者,这些亚型与不同的基因组特征和临床结局相关。 这项真实世界研究是迄今为止对PC最广泛的刻画之一,整合了来自超过3,500例患者的WES、胚系和RNA-Seq数据。研究结果证实了典型驱动改变(KRAS、TP53、CDKN2A、SMAD4)的主导地位,并凸显了整个疾病谱系中的胚系和转录组多样性。正在进行的分析正在评估KRAS和其他基因组特征间的转录变异,并将把这些谱与生存结局相关联,以确定其临床相关性。
查看英文原文 English abstract
Pancreatic cancer (PC) remains one of the deadliest malignancies, with minimal improvement in survival over recent decades. Fundamental questions persist regarding how genomic alterations influence PC biology and therapeutic response. Using a large multi-modal real-world genomic database, we sought to characterize the mutational and transcriptional landscape of PC and identify patterns that may inform future precision medicine approaches. Whole-exome sequencing (WES) data from tumor tissue samples were analyzed for patients with PC included in Natera's proprietary Real-World Database. Sequencing was performed as part of the tumor-informed, personalized Signatera™ circulating tumor DNA assay designed between May 2019-Nov 2024. After excluding cases of low tumor mutational burden and variant allele frequency, a total of 3,664 patients were included in the analysis. Variant calling was performed using Mutect2 and VarScan2. For prevalence analysis, only non-synonymous somatic SNVs and INDELs were included. Germline variant analysis was performed for 128 cancer predisposition genes in both tumor and normal samples; ClinVar pathogenic/likely pathogenic (P/LP) germline variants were retained. RNA sequencing data, from Altera TM tumor genomic profiling test (Natera, Inc.), were available for 658 patients, of whom 391 had matched WES data. Among the 3,664 patients with PC, the male/female ratio was [50%/50%], and the stage distribution was: I (14.6%%), II (24.4%), III (24.8%), IV (28.2%), and unknown (7.9%). Genetic ancestry composition included European (74.5%), African (10.9%), Latino/Admixed American (7.9%), East Asian (5.0%), and South Asian (1.5%) populations. The most frequently somatically mutated genes were KRAS (78%), TP53 (62%), CDKN2A (18%), SMAD4 (18%), and ARID1A (8%). The most common individual somatic variants were KRAS G12D (32%), KRAS G12V (25%), KRAS G12R (13%), TP53 R175H (5%), and KRAS Q61H (4%). No statistically significant ancestry-based differences were observed in either gene or variant-level frequencies. P/LP germline variants were detected in 210 patients, comprising 149 unique variants across 34 genes, most commonly ATM , BRCA2 , MUTYH , BRCA1 , and PALB2 . Among RNA-Seq profiled tumors, expression analysis identified patients with basal and classical molecular subtypes associated with distinct genomic features and clinical outcomes. This real-world study represents one of the most extensive characterizations of PC to date, integrating WES, germline, and RNA-Seq data from over 3,500 patients. The findings confirm the predominance of canonical driver alterations ( KRAS , TP53 , CDKN2A , SMAD4 ) and highlight germline and transcriptomic diversity across the disease spectrum. Ongoing analyses are assessing transcriptional variation across KRAS and other genomic features and will link these profiles with survival outcomes to determine clinical relevance.
利益披露 Disclosure
A. Ramu, Natera, Inc. Employment, Stock. V. Aushev, Natera, Inc. Employment, Stock. J. Ortiz, Natera, Inc. Employment, Stock. A. Antonopoulos, Natera, Inc. Employment, Stock. M. Diab, None. P. A. Philip, Ipsen Other, Consulting or Advisory role; Honoraria. Bayer ), Other, Honoraria. Incyte ), Other, Speaker's bureau; Honoraria. Taiho Pharmaceutical ), Other, Honoraria; Consulting or Advisory Role. BioNTech SE ), Other, Honoraria. Astellas Pharma Other, Honoraria. Genentech ). Lilly ). Regeneron ). Novartis ). Seagen Other, Honoraria. Daiichi Sankyo Other, Consulting or Advisory Role. TriSalus Life Sciences Other, Consulting or Advisory Role; Honoraria. Halozyme ). Merus ). Merck ), Other, Consulting or Advisory Role. Servier Other, Honoraria. Novocure Other, Honoraria. Celgene Other, Consulting or Advisory Role. SynCoreBio Other, Consulting or Advisory Role. D. Kwon, None. S. Subramaniam, Natera, Inc. Employment, Stock. A. Jurdi, Natera, Inc. Employment, Stock. G. P. Botta, Natera, Inc. Other, Speakers Bureau, Consulting or Advisory Role, Honoraria, and Clinical Trial Support. Calibr Other, Advisory Role. TumorGen Other, Advisory Role. Carsgen Other, Publication Assistance and Clinical Trial Support.

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