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Dead or alive? Pitfall of survival analysis with TCGA datasets

We often encounter situations in which data from the TCGA that have been analyzed in papers we read or reviewed cannot be reproduced, even when TCGA datasets are used, especially in survival analyses. Therefore, we attempted to confirm the data source for TCGA survival analysis and found that severa...

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Detalles Bibliográficos
Autores principales: Idogawa, Masashi, Koizumi, Masayo, Hirano, Tomomi, Tange, Shoichiro, Nakase, Hiroshi, Tokino, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726696/
https://www.ncbi.nlm.nih.gov/pubmed/34530682
http://dx.doi.org/10.1080/15384047.2021.1979845
Descripción
Sumario:We often encounter situations in which data from the TCGA that have been analyzed in papers we read or reviewed cannot be reproduced, even when TCGA datasets are used, especially in survival analyses. Therefore, we attempted to confirm the data source for TCGA survival analysis and found that several websites used to analyze the survival data of TCGA datasets inappropriately handle the survival data, causing differences in statistical analyses. This causes the misinterpretation of results because figures of survival analysis results in several papers are sometimes exactly as generated by these sites, and the results depend on only the tools provided by these sites. We would like to make this situation widely known and raise the problem for scientific soundness.