category
bioRxiv
date
Feb 19, 2026
slug
status
Published
summary
创新性提出基于靶向panel测序数据而非全基因组数据识别NER缺陷相关突变特征的方法,发现ERCC2突变与特定突变特征的关联,并证实该特征在多种实体瘤中的治疗预示价值。
tags
测序技术
type
Post

📄 原文题目

Identification of an ERCC2 mutation associated mutational signature of nucleotide excision repair deficiency in targeted panel sequencing data

🔗 原文链接

💡 AI 核心解读

创新性提出基于靶向panel测序数据而非全基因组数据识别NER缺陷相关突变特征的方法,发现ERCC2突变与特定突变特征的关联,并证实该特征在多种实体瘤中的治疗预示价值。

📝 英文原版摘要

Next generation sequencing based mutational signatures are frequently used to identify tumors with specific DNA repair deficiencies for targeted therapeutic strategies. Although mutational signatures are most commonly derived from whole exome (WES) or whole genome sequencing (WGS) data, more patients currently undergo tumor sequencing using more limited targeted panels that typically encompass several hundred cancer-associated genes. Identifying clinically relevant mutational signatures from targeted panel data requires new approaches capable of deriving signatures from the more limited sequencing data. Here, we derive and validate a panel sequencing-based composite mutational signature associated with nucleotide excision repair (NER) deficiency induced by inactivating ERCC2 mutations in bladder cancer. Using publicly available panel sequencing data, we find that ERCC2 wild type (WT) bladder cancer cases that have high levels of this mutational signature respond better to neoadjuvant platinum therapy and have improved overall survival compared to ERCC2 WT cases with low levels of the signature. We also find that other solid tumor types with ERCC2 mutations also show the characteristic mutational signature seen in NER-deficient ERCC2-mutant bladder cancers, suggesting a novel approach to therapeutically target these ERCC2-mutant solid tumors beyond bladder cancer.
基础模型提升扰动响应预测SF3B1抑制剂普拉迪烯醇B显著抑制DNA损伤信号和修复并逆转非小细胞肺癌对铂盐的耐药性
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