首页> 美国卫生研究院文献>Journal for Immunotherapy of Cancer >Establishing guidelines to harmonize tumor mutational burden (TMB): in silico assessment of variation in TMB quantification across diagnostic platforms: phase I of the Friends of Cancer Research TMB Harmonization Project
【2h】

Establishing guidelines to harmonize tumor mutational burden (TMB): in silico assessment of variation in TMB quantification across diagnostic platforms: phase I of the Friends of Cancer Research TMB Harmonization Project

机译:建立协调一致的肿瘤突变负担(TMB)的指南:计算机诊断跨诊断平台的TMB定量变化:癌症之友研究TMB协调项目的第一阶段

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, demonstrates predictive biomarker potential for the identification of patients with cancer most likely to respond to immune checkpoint inhibitors. TMB is optimally calculated by whole exome sequencing (WES), but next-generation sequencing targeted panels provide TMB estimates in a time-effective and cost-effective manner. However, differences in panel size and gene coverage, in addition to the underlying bioinformatics pipelines, are known drivers of variability in TMB estimates across laboratories. By directly comparing panel-based TMB estimates from participating laboratories, this study aims to characterize the theoretical variability of panel-based TMB estimates, and provides guidelines on TMB reporting, analytic validation requirements and reference standard alignment in order to maintain consistency of TMB estimation across platforms.
机译:肿瘤突变负担(TMB),定义为每兆碱基被查询基因组序列的体细胞突变数,证明了预测性生物标志物潜力可用于识别最可能对免疫检查点抑制剂反应的癌症患者。通过全外显子组测序(WES)可以最佳地计算TMB,但是下一代靶向测序的专家组可以以省时,省钱的方式提供TMB估算值。然而,除了潜在的生物信息学流水线之外,面板大小和基因覆盖范围的差异是跨实验室的TMB估计值变化的已知驱动力。通过直接比较参与实验室的基于专家组的TMB估计,本研究旨在表征基于专家组的TMB估计的理论变异性,并提供有关TMB报告,分析验证要求和参考标准比对的指南,以保持TMB估计在整个过程中的一致性。平台。

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号