D. Buckley, B. Tew, G. Gooden, T. Triche, B. Salhia
{"title":"583:儿童肿瘤甲基组分析揭示了无细胞DNA中癌症复发的共同特征","authors":"D. Buckley, B. Tew, G. Gooden, T. Triche, B. Salhia","doi":"10.1158/1538-7445.AM2021-583","DOIUrl":null,"url":null,"abstract":"Cancer is the second most common cause of death in children aged 1-14 years in the United States, with approximately 11,000 new cases and 1200 deaths annually. Due in part to the rarity and diversity of childhood tumors, a non-invasive diagnostic to identify patients at high risk of recurrence does not exist for patients with pediatric solid cancer. Cell-free (cf)DNA is rapidly becoming the standard for non-invasive screening, diagnosis, treatment and monitoring of human tumors. In particular, cfDNA methylation detection has proven to be a robust platform for “liquid biopsies,” with several important advantages over simple somatic variant detection. Here we present a cfDNA methylation signature derived from a pan-methylome analysis of recurrent pediatric tumors. The methylomes spanned 34 tumor tissue samples, 13 patient-matched adjacent normal, and 16 patient-matched plasma samples from 27 individuals, representing 11 different pediatric tumor types, including 10 neuroblastomas, 4 osteosarcomas and 2 hepatoblastomas. In addition, 13 adjacent normal samples and 15 normal plasma samples were used as DNA methylation controls. These samples were obtained from the Pediatric Oncology Experimental Investigators9 Consortium (POETIC) under informed consent. DNA methylation was analyzed for all samples by whole genome bisulfite sequencing (WGBS). Using consensus DNA methylation calling, we identified a set of 402 differentially methylated regions (DMR) in genomic DNA from tissue, with substantial enrichment of hypomethylated DMRs across a majority of samples. CpGs that were commonly hypomethylated were combined into consensus ‘hotspots.9 In order to discriminate between tumor/normal samples in tissue, we applied supervised machine learning to train a classifier on these 402 features. Mean methylation across these 402 CpG hotspots was significantly (p Citation Format: David N. Buckley, Ben Tew, Gerald Gooden, Timothy Triche, Bodour Salhia. Analysis of solid pediatric tumor methylomes reveals a shared cancer recurrence signature in cell-free DNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. 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Due in part to the rarity and diversity of childhood tumors, a non-invasive diagnostic to identify patients at high risk of recurrence does not exist for patients with pediatric solid cancer. Cell-free (cf)DNA is rapidly becoming the standard for non-invasive screening, diagnosis, treatment and monitoring of human tumors. In particular, cfDNA methylation detection has proven to be a robust platform for “liquid biopsies,” with several important advantages over simple somatic variant detection. Here we present a cfDNA methylation signature derived from a pan-methylome analysis of recurrent pediatric tumors. The methylomes spanned 34 tumor tissue samples, 13 patient-matched adjacent normal, and 16 patient-matched plasma samples from 27 individuals, representing 11 different pediatric tumor types, including 10 neuroblastomas, 4 osteosarcomas and 2 hepatoblastomas. In addition, 13 adjacent normal samples and 15 normal plasma samples were used as DNA methylation controls. These samples were obtained from the Pediatric Oncology Experimental Investigators9 Consortium (POETIC) under informed consent. DNA methylation was analyzed for all samples by whole genome bisulfite sequencing (WGBS). Using consensus DNA methylation calling, we identified a set of 402 differentially methylated regions (DMR) in genomic DNA from tissue, with substantial enrichment of hypomethylated DMRs across a majority of samples. CpGs that were commonly hypomethylated were combined into consensus ‘hotspots.9 In order to discriminate between tumor/normal samples in tissue, we applied supervised machine learning to train a classifier on these 402 features. Mean methylation across these 402 CpG hotspots was significantly (p Citation Format: David N. Buckley, Ben Tew, Gerald Gooden, Timothy Triche, Bodour Salhia. Analysis of solid pediatric tumor methylomes reveals a shared cancer recurrence signature in cell-free DNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. 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引用次数: 0
摘要
癌症是美国1-14岁儿童死亡的第二大常见原因,每年约有1.1万例新病例和1200例死亡。部分由于儿童肿瘤的罕见性和多样性,对于儿童实体癌患者,尚无一种非侵入性诊断方法来识别复发风险高的患者。无细胞DNA (cf)正迅速成为非侵入性筛查、诊断、治疗和监测人类肿瘤的标准。特别是,cfDNA甲基化检测已被证明是一个强大的“液体活检”平台,与简单的体细胞变异检测相比,具有几个重要的优势。在这里,我们提出了一个cfDNA甲基化特征,来自复发性儿科肿瘤的泛甲基组分析。甲基化组跨越了34个肿瘤组织样本,13个患者匹配的邻近正常样本,以及来自27个个体的16个患者匹配的血浆样本,代表了11种不同的儿科肿瘤类型,包括10个神经母细胞瘤,4个骨肉瘤和2个肝母细胞瘤。另外,13例相邻正常样本和15例正常血浆样本作为DNA甲基化对照。这些样本是在知情同意的情况下从儿科肿瘤实验研究者联盟(POETIC)获得的。采用全基因组亚硫酸盐测序(WGBS)分析所有样品的DNA甲基化。使用共识DNA甲基化呼叫,我们在组织基因组DNA中鉴定了402个差异甲基化区域(DMR),在大多数样本中都有大量低甲基化DMR富集。普遍低甲基化的CpGs被合并为共识的热点为了区分组织中的肿瘤/正常样本,我们应用监督式机器学习对这402个特征训练分类器。这402个CpG热点的平均甲基化显著(p引文格式:David N. Buckley, Ben Tew, Gerald Gooden, Timothy Triche, Bodour Salhia)。对儿童肿瘤实体甲基组的分析揭示了无细胞DNA中癌症复发的共同特征[摘要]。见:美国癌症研究协会2021年年会论文集;2021年4月10日至15日和5月17日至21日。费城(PA): AACR;癌症杂志,2021;81(13 -增刊):583。
Abstract 583: Analysis of solid pediatric tumor methylomes reveals a shared cancer recurrence signature in cell-free DNA
Cancer is the second most common cause of death in children aged 1-14 years in the United States, with approximately 11,000 new cases and 1200 deaths annually. Due in part to the rarity and diversity of childhood tumors, a non-invasive diagnostic to identify patients at high risk of recurrence does not exist for patients with pediatric solid cancer. Cell-free (cf)DNA is rapidly becoming the standard for non-invasive screening, diagnosis, treatment and monitoring of human tumors. In particular, cfDNA methylation detection has proven to be a robust platform for “liquid biopsies,” with several important advantages over simple somatic variant detection. Here we present a cfDNA methylation signature derived from a pan-methylome analysis of recurrent pediatric tumors. The methylomes spanned 34 tumor tissue samples, 13 patient-matched adjacent normal, and 16 patient-matched plasma samples from 27 individuals, representing 11 different pediatric tumor types, including 10 neuroblastomas, 4 osteosarcomas and 2 hepatoblastomas. In addition, 13 adjacent normal samples and 15 normal plasma samples were used as DNA methylation controls. These samples were obtained from the Pediatric Oncology Experimental Investigators9 Consortium (POETIC) under informed consent. DNA methylation was analyzed for all samples by whole genome bisulfite sequencing (WGBS). Using consensus DNA methylation calling, we identified a set of 402 differentially methylated regions (DMR) in genomic DNA from tissue, with substantial enrichment of hypomethylated DMRs across a majority of samples. CpGs that were commonly hypomethylated were combined into consensus ‘hotspots.9 In order to discriminate between tumor/normal samples in tissue, we applied supervised machine learning to train a classifier on these 402 features. Mean methylation across these 402 CpG hotspots was significantly (p Citation Format: David N. Buckley, Ben Tew, Gerald Gooden, Timothy Triche, Bodour Salhia. Analysis of solid pediatric tumor methylomes reveals a shared cancer recurrence signature in cell-free DNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 583.