Suppr超能文献

主要数据分析错误使癌症微生物组研究结果无效。

Major data analysis errors invalidate cancer microbiome findings.

机构信息

Norwich Medical School, University of East Anglia , Norwich, United Kingdom.

Center for Computational Biology, Johns Hopkins University , Baltimore, Maryland, USA.

出版信息

mBio. 2023 Oct 31;14(5):e0160723. doi: 10.1128/mbio.01607-23. Epub 2023 Oct 9.

Abstract

Recent reports showing that human cancers have a distinctive microbiome have led to a flurry of papers describing microbial signatures of different cancer types. Many of these reports are based on flawed data that, upon re-analysis, completely overturns the original findings. The re-analysis conducted here shows that most of the microbes originally reported as associated with cancer were not present at all in the samples. The original report of a cancer microbiome and more than a dozen follow-up studies are, therefore, likely to be invalid.

摘要

最近的报告表明,人类癌症具有独特的微生物组,这导致了大量描述不同癌症类型微生物特征的论文的出现。其中许多报告所基于的数据存在缺陷,经过重新分析,这些数据完全推翻了最初的发现。这里进行的重新分析表明,最初报告与癌症相关的大多数微生物在样本中根本不存在。因此,癌症微生物组的原始报告和十多个后续研究很可能是无效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe14/10653788/f4a7b7403f43/mbio.01607-23.f001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验