PO.CL01.18 · 临床研究

易发黑色素瘤皮肤的基因组图景

The genomic landscape of melanoma-prone skin

海报缩略图:易发黑色素瘤皮肤的基因组图景
编号 1103 展板 13 时间 4/19 02:00–05:00 区域 Section 43 主讲 Mitchell Stark, PhD
分会场 Early Detection Biomarkers 1
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

Katie Lee1, Yung-Ching Kao1, Darren Smit1, Marietta K. Saldias Montivero2, Joshua Jay Levy3, Brock C. Christensen2, Quan Nguyen4, H. Peter Soyer1, Mitchell S. Stark1

1Frazer Institute, University of Queensland, Brisbane, Australia,2Dartmouth Geisel School of Medicine, Lebanon, NH,3Cedars-Sinai Medical Center, Los Angeles, CA,4QIMR Berghofer Medical Research Institute, Herston, Australia

摘要 Abstract

中文摘要
正常皮肤携带高负荷的体细胞突变,但这并不能解释黑色素瘤会在何处形成。通过对高风险个体的3D全身摄影研究,我们观察到黑色素瘤切除部位聚集于背部特定区域的趋势。这提出了一个问题——这些是否为易发黑色素瘤的皮肤区域?PhotoMelanoma研究旨在确定有利于黑色素瘤形成的微环境的基因组结构。我们评估了浸润性黑色素瘤切除部位邻近的光损伤皮肤、距离5cm处的光损伤皮肤以及同一个体的光保护皮肤。为此,我们邀请了来自我们高风险黑色素瘤队列(n=300+)的19名研究参与者捐赠三份活检样本用于基因组分析。首先,我们构建了单细胞全转录组文库以确定每个活检部位存在的细胞类型。接下来,通过超灵敏微滴数字PCR系统评估每份活检样本的热点突变;通过对300+个癌症相关基因的深度panel测序(PanelSeq)评估体细胞突变负荷、突变特征和拷贝数畸变,并对900K个位点进行全局甲基化谱分析。简而言之——正如预期,PanelSeq显示UV相关突变特征(SBS7),各日晒部位水平相似,而SBS2特征(APOBEC活性)在瘢痕邻近部位富集(67%),与SBS2相关的突变数量达到显著性(Wilcoxon配对检验;p=0.015)。BRAF V600E突变在既往黑色素瘤附近显著富集,并存在于包括光保护部位在内的所有部位。全局DNA甲基化谱分析识别出2000+个在光损伤与光保护部位之间差异甲基化的位点,包括HOX家族成员,另有70个位点在既往黑色素瘤部位与5cm外部位之间差异甲基化,表明即使UV损伤水平相同,某些皮肤部位可能更易发黑色素瘤。这些数据是一项全面基因组和转录组分析的一部分,旨在表征黑色素细胞、痣和微环境,以识别黑色素瘤形成的分子触发因素。总之,我们发现了黑色素瘤切除部位体细胞事件的富集,这可能为新发黑色素瘤的发展提供了土壤。
查看英文原文 English abstract
Normal skin carries a high burden of somatic mutations, yet this does not explain where a melanoma will form. From 3D total body photography studies of high-risk individuals, we have observed a trend toward melanoma excisions clustered in regions on the back. This posed the question - are these melanoma-prone skin regions? The PhotoMelanoma Study aimed to determine the genomic architecture of the microenvironment that favours melanoma formation. We assessed photodamaged skin adjacent to an invasive melanoma excision, photodamaged skin 5cm away, and photoprotected skin from the same individual. To address this, we invited 19 study participants from our high-risk melanoma cohort (n=300+) to donate three biopsies for genomic analysis. Firstly, we derived a single-cell whole transcriptome library to determine cell types present at each biopsy site. Next, each biopsy was evaluated for hotspot mutations via the ultra-sensitive droplet digital PCR system; somatic mutation burden, mutation signature, and copy number aberrations via deep panel sequencing of 300+ cancer-related genes (PanelSeq), and global methylation profiling of 900K loci. In brief - as expected, PanelSeq showed UV-related mutation signatures (SBS7) with levels similar the across sun-exposed sites, whereas signature SBS2 (APOBEC activity) was enriched (67%) at the scar-adjacent site, with the number of mutations associated with SBS2 reaching significance (Wilcoxon matched-pair; p=0.015). BRAF V600E mutations were significantly enriched near prior melanoma and were present in all sites including sun-protected. Global DNA methylation profiling identified 2000+ loci differentially methylated between photodamaged and photoprotected sites, including HOX family members, and 70 loci were differentially methyated between prior melanoma vs 5cm away, indicating that even with the same level of UV damage, skin sites may be more melanoma-prone. These data are part of a comprehensive genomic and transcriptomic profile to characterise melanocytes, naevi, and the microenvironment to identify the molecular triggers for melanoma formation. In sum, we have uncovered enrichment of somatic events at melanoma excision sites that may provide the soil for de novo melanoma development.
利益披露 Disclosure
K. Lee, None.. Y. Kao, None.. D. Smit, None.. M. K. Saldias Montivero, None. H. Soyer, MoleMap NZ Limited Independent Contractor. e-derm consult GmbH Independent Contractor. Canfield Scientific Independent Contractor. Blaze Bioscience Inc Independent Contractor. M. S. Stark, None.

← 返回 AACR 2026 检索