Erez Nir, Furth Noa, Fedyuk Vadim, Wadden Jack, Aittaleb Rayan, Adam Tiffany, Schwark Kallen, Niculcea Michael, Miclea Madeline, Mody Rajen, Franson Andrea, Parmar Hemant A, Ibrahim Mohannad, Lau Benison, Eze Augustine, Nourmohammadi Niku, Fried Iris, Nazarian Javad, Ron Guy, Venneti Sriram, Koschmann Carl, Shema Efrat
Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel.
Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
Cell Rep Med. 2025 Jan 21;6(1):101918. doi: 10.1016/j.xcrm.2024.101918. Epub 2025 Jan 13.
The analysis of cell-free tumor DNA (ctDNA) and proteins in the blood of patients with cancer potentiates a new generation of non-invasive diagnostic approaches. However, confident detection of tumor-originating markers is challenging, especially in the context of brain tumors, where these analytes in plasma are extremely scarce. Here, we apply a sensitive single-molecule technology to profile multiple histone modifications on individual nucleosomes from the plasma of patients with diffuse midline glioma (DMG). The system reveals epigenetic patterns unique to DMG, significantly differentiating this group of patients from healthy subjects or individuals diagnosed with other cancer types. We further develop a method to directly quantify the tumor-originating oncoproteins, lysine 27 to methionine substitution in histone H3 (H3-K27M) and mutant p53, from <1 mL of plasma, allowing for the accurate molecular classification of patients with DMG. We show that our strategy correlates with MRI and droplet-digital PCR (ddPCR) measurements of ctDNA, highlighting the clinical potential of single-molecule-based, multi-parametric assays for DMG diagnosis and treatment monitoring.
对癌症患者血液中的游离肿瘤DNA(ctDNA)和蛋白质进行分析,推动了新一代非侵入性诊断方法的发展。然而,可靠地检测肿瘤来源的标志物具有挑战性,尤其是在脑肿瘤的情况下,血浆中的这些分析物极其稀少。在这里,我们应用一种灵敏的单分子技术,对弥漫性中线胶质瘤(DMG)患者血浆中单个核小体上的多种组蛋白修饰进行分析。该系统揭示了DMG特有的表观遗传模式,将这组患者与健康受试者或被诊断为其他癌症类型的个体显著区分开来。我们进一步开发了一种方法,可直接从<1 mL血浆中定量肿瘤来源的癌蛋白,即组蛋白H3中赖氨酸27到甲硫氨酸的取代(H3-K27M)和突变型p53,从而实现对DMG患者的准确分子分类。我们表明,我们的策略与ctDNA的MRI和液滴数字PCR(ddPCR)测量结果相关,突出了基于单分子的多参数检测在DMG诊断和治疗监测中的临床潜力。