利用光学基因组图谱和新一代测序对骨与软组织肿瘤进行综合分析的诊断和预后/治疗意义。

IF 7.1 1区 医学 Q1 PATHOLOGY
Jen Ghabrial, Victoria Stinnett, Efrain Ribeiro, Melanie Klausner, Laura Morsberger, Patty Long, William Middlezong, Rena Xian, Christopher Gocke, Ming-Tseh Lin, Lisa Rooper, Ezra Baraban, Pedram Argani, Aparna Pallavajjala, Jaclyn B Murry, John M Gross, Ying S Zou
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引用次数: 0

摘要

检测骨与软组织肿瘤中的体细胞结构变异(SV)、拷贝数变异(CNV)和突变对于准确诊断、治疗和预后至关重要。光学基因组图谱(OGM)有望获得有关SV和CNV的有用数据,但需要新鲜或速冻组织。本研究旨在评估光学基因组图谱数据与当前标准细胞遗传学检测相比的临床实用性。我们使用 OGM 和核型分析、FISH、基因融合检测以及深度下一代测序 (NGS) 评估了 60 例连续的骨和软组织肿瘤标本。OGM 能准确鉴定出之前通过核型分析和 FISH 检测出的诊断性 SV/CNV(特异性=100%)。OGM 发现了核型分析未检测到的诊断性和致病性 SV/CNV(23% 的病例)(隐性/亚显微)。OGM 可以检测和进一步鉴定复杂的结构重排,包括染色体变异(27% 的病例)和复杂的 3-6 向易位(15% 的病例)。除了在有染色体发生事件的病例中鉴定出 321 个 SV 和 CNV 外,OGM 还在每个样本中鉴定出约 9 个 SV 和 12 个 CNV。结合 OGM 和深度 NGS 数据,在 98% 的病例中鉴定出了诊断性和致病性 SV、CNV 和突变。我们的队列包含了最广泛的骨与软组织肿瘤样本。OGM与常规细胞遗传学检测具有很好的一致性,它能检测和分配高分辨率的全基因组基因组异常,灵敏度高于常规检测。这是第一项规模最大的研究,它深入揭示了在常规临床实践中,OGM 与深度测序相结合对骨与软组织肿瘤的病理诊断和潜在预后判断的临床实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic and Prognostic/Therapeutic Significance of Comprehensive Analysis of Bone and Soft Tissue Tumors Using Optical Genome Mapping and Next-generation Sequencing.

Detecting somatic structural variants (SVs), copy number variants (CNVs), and mutations in bone and soft tissue tumors is essential for accurately diagnosing, treating, and prognosticating outcomes. Optical genome mapping (OGM) holds promise to yield useful data on SVs and CNVs but requires fresh or snap-frozen tissue. This study aimed to evaluate the clinical utility of data from OGM compared to current standard-of-care cytogenetic testing. We evaluated 60 consecutive specimens from bone and soft tissue tumors using OGM and karyotyping, FISH, gene fusion assays, and deep next-generation sequencing (NGS). OGM accurately identified diagnostic SVs/CNVs previously detected by karyotyping and FISH (specificity=100%). OGM identified diagnostic and pathogenic SVs/CNVs (∼23% of cases) undetected by karyotyping (cryptic/submicroscopic). OGM allowed detection and further characterization of complex structural rearrangements including chromoanagenesis (27% of cases) and complex 3-6-way translocations (15% of cases). In addition to identifying 321 SVs and CNVs among cases with chromoanagenesis events, OGM identified approximately 9 SVs and 12 CNVs per sample. A combination of OGM and deep NGS data identified diagnostic and pathogenic SVs, CNVs, and mutations in ∼98% of cases. Our cohort contained the most extensive collection of bone and soft tissue tumors profiled by OGM. OGM had excellent concordance with standard-of-care cytogenetic testing, detecting and assigning high-resolution genome-wide genomic abnormalities with higher sensitivity than routine testing. This is the first and largest study to provide insights into the clinical utility of combined OGM and deep sequencing for the pathologic diagnosis and potential prognostication of bone and soft tissue tumors in routine clinical practice.

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来源期刊
Modern Pathology
Modern Pathology 医学-病理学
CiteScore
14.30
自引率
2.70%
发文量
174
审稿时长
18 days
期刊介绍: Modern Pathology, an international journal under the ownership of The United States & Canadian Academy of Pathology (USCAP), serves as an authoritative platform for publishing top-tier clinical and translational research studies in pathology. Original manuscripts are the primary focus of Modern Pathology, complemented by impactful editorials, reviews, and practice guidelines covering all facets of precision diagnostics in human pathology. The journal's scope includes advancements in molecular diagnostics and genomic classifications of diseases, breakthroughs in immune-oncology, computational science, applied bioinformatics, and digital pathology.
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