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Major data analysis errors invalidate cancer microbiome findings.
Gihawi, Abraham; Ge, Yuchen; Lu, Jennifer; Puiu, Daniela; Xu, Amanda; Cooper, Colin S; Brewer, Daniel S; Pertea, Mihaela; Salzberg, Steven L.
Afiliação
  • Gihawi A; Norwich Medical School, University of East Anglia , Norwich, United Kingdom.
  • Ge Y; Center for Computational Biology, Johns Hopkins University , Baltimore, Maryland, USA.
  • Lu J; Department of Biomedical Engineering, Johns Hopkins University , Baltimore, Maryland, USA.
  • Puiu D; Center for Computational Biology, Johns Hopkins University , Baltimore, Maryland, USA.
  • Xu A; Department of Biomedical Engineering, Johns Hopkins University , Baltimore, Maryland, USA.
  • Cooper CS; Center for Computational Biology, Johns Hopkins University , Baltimore, Maryland, USA.
  • Brewer DS; Department of Biomedical Engineering, Johns Hopkins University , Baltimore, Maryland, USA.
  • Pertea M; Center for Computational Biology, Johns Hopkins University , Baltimore, Maryland, USA.
  • Salzberg SL; Norwich Medical School, University of East Anglia , Norwich, United Kingdom.
mBio ; 14(5): e0160723, 2023 Oct 31.
Article em En | MEDLINE | ID: mdl-37811944
ABSTRACT
IMPORTANCE 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiota / Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: MBio Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiota / Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: MBio Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido