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Updated: Jan 12, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

从FFPE样本使用纳米孔甲基化测序来对脑瘤进行分类.

Galina Feinberg-Gorenshtein¹, Assaf Grunwald², Carlo Vermeulen³

¹The Rina Zaizov Division of Pediatric Hematology-Oncology, Schneider Children's Medical Center of Israel, P.O. Box 559, Petach Tikva, Israel.

|November 3, 2025

概括

此摘要是机器生成的。

牛津纳米孔技术 (ONT) 甲基化测序现在可以使用甲固定氨酸嵌入 (FFPE) 组织对脑瘤进行分类. 这种新协议即使在染色幻灯片中的小DNA样本上也能工作,从而改善了癌症诊断.

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科学领域:

分子瘤学分子瘤学
基因组学就是基因组学.
病理学病理学病理学

背景情况:

基于牛津纳米孔技术 (ONT) 的甲基化测序为精确瘤学提供了快速的大脑瘤分类.
临床采用受到新鲜冷 (FF) 组织的需求所阻碍,与常见的甲固定嵌 (FFPE) 标本不同.

研究的目的:

评估FFPE处理对DNA甲基化概况的影响.
开发和验证一个基于ONT的脑瘤分类协议,使用FFPE幻灯片中的DNA.

主要方法:

在染色的FFPE幻灯片上从病理标记区域提取DNA.
针对性地选择瘤丰富的区域进行组织学后评估.
基于ONT的甲基化测序用于分类.

主要成果:

从FFPE组织中提取的低输入DNA (≥25 ng) 成功分类脑瘤.
在ONT分类和神经病理诊断之间有很高的一致性.
由于甲素固定而导致的适度甲基化损失,但强大的分类性能.
甲基化降解和甲固定时间之间的相关性 (建议≤3-4天).

结论:

一个经过验证的协议可以从常规的FFPE组织中准确地基于甲基化的瘤分类.
这扩大了ONT诊断在标准临床工作流程中的可访问性.
便于及时做出治疗决策,即使组织样本有限或紧急.