癌症基因组图谱项目的全基因组测序样本中的微生物含量全面分析
Yuchen Ge1,2, Jennifer Lu1,3, Daniela Puiu1,2
1Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21218, USA.
Science translational medicine
|September 3, 2025
概括
技术错误导致癌症基因组图谱 (TCGA) 数据中的微生物识别不正确. 这项研究重新分析了TCGA全基因组测序数据,发现微生物的数量比之前报告的要少.
科学领域:
- 微生物学
- 生物信息学
- 基因组学
背景情况:
- 最近的研究表明在人体瘤中存在特定的微生物群落.
- 之前对"癌症基因组图谱" (TCGA) 项目的数据进行分析,报告了各种癌症中的多种微生物物种.
研究的目的:
- 在25种癌症类型中重新分析TCGA全基因组测序 (WGS) 数据的微生物含量.
- 验证和扩展癌症数据集中微生物存在的先前发现.
- 为未来的研究提供更正的参考数据集.
主要方法:
- 使用最新的计算方法和数据库对5734个TCGA全基因组测序数据集进行分析.
- 结果与最近两项关于癌症微生物的主要研究进行比较.
- 细菌,病毒,古生物和真菌的识别和量化.
主要成果:
- 在TCGA数据中微生物物种的存在明显低于之前报告的.
- 在TCGA数据中发现的许多微生物物种都是技术错误的产物.
- 这项研究证实了技术错误导致癌症测序数据中的微生物错误报告.
结论:
- 基于TCGAWGS数据,人类瘤中的实际微生物存在量远低于之前的研究.
- 数据处理中的技术错误对癌症基因组学中的微生物检测产生了重大影响.
- 提供公开的TCGA样本微生物读数数据集,以帮助未来的研究和防止数据的误解.
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