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癌症基因组图谱计划全基因组测序样本中微生物含量的综合分析。

Comprehensive analysis of microbial content in whole-genome sequencing samples from The Cancer Genome Atlas project.

作者信息

Ge Yuchen, Lu Jennifer, Puiu Daniela, Revsine Mahler, Salzberg Steven L

机构信息

Center for Computational Biology, Johns Hopkins University, Baltimore, Maryland, United States.

Department of Biomedical Engineering, Johns Hopkins University.

出版信息

bioRxiv. 2024 Aug 19:2024.05.24.595788. doi: 10.1101/2024.05.24.595788.

Abstract

In recent years, a growing number of publications have reported the presence of microbial species in human tumors and of mixtures of microbes that appear to be highly specific to different cancer types. Our recent re-analysis of data from three cancer types revealed that technical errors have caused erroneous reports of numerous microbial species found in sequencing data from The Cancer Genome Atlas (TCGA) project. Here we have expanded our analysis to cover all 5,734 whole-genome sequencing (WGS) data sets currently available from TCGA, covering 25 distinct types of cancer. We analyzed the microbial content using updated computational methods and databases, and compared our results to those from two major recent studies that focused on bacteria, viruses, and fungi in cancer. Our results expand upon and reinforce our recent findings, which showed that the presence of microbes is far smaller than had been previously reported, and that many species identified in TCGA data are either not present at all, or are known contaminants rather than microbes residing within tumors. As part of this expanded analysis, and to help others avoid being misled by flawed data, we have released a dataset that contains detailed read counts for bacteria, viruses, archaea, and fungi detected in all 5,734 TCGA samples, which can serve as a public reference for future investigations.

摘要

近年来,越来越多的出版物报道了人类肿瘤中微生物物种的存在,以及似乎对不同癌症类型具有高度特异性的微生物混合物的存在。我们最近对来自三种癌症类型的数据进行的重新分析表明,技术错误导致了在癌症基因组图谱(TCGA)项目的测序数据中发现的大量微生物物种的错误报告。在这里,我们扩大了分析范围,涵盖了目前可从TCGA获得的所有5734个全基因组测序(WGS)数据集,涉及25种不同类型的癌症。我们使用更新的计算方法和数据库分析了微生物含量,并将我们的结果与最近两项专注于癌症中的细菌、病毒和真菌的主要研究结果进行了比较。我们的结果扩展并强化了我们最近的发现,即微生物的存在远比先前报道的要少,并且在TCGA数据中鉴定出的许多物种根本不存在,或者是已知的污染物而非存在于肿瘤内的微生物。作为这项扩展分析的一部分,为了帮助其他人避免被有缺陷的数据误导,我们发布了一个数据集,其中包含在所有5734个TCGA样本中检测到的细菌、病毒、古菌和真菌的详细读数计数,可作为未来研究的公共参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7917/11346122/fd3ed5c697dc/nihpp-2024.05.24.595788v3-f0001.jpg

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