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Dead or alive? Pitfall of survival analysis with TCGA datasets

Masashi Idogawa, Masayo Koizumi, Tomomi Hirano, Shoichiro Tange, Hiroshi Nakase, Takashi Tokino

2021Cancer Biology & Therapy12 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

SoundnessSurvival analysisComputer scienceOverall survivalStatisticsOncologyMedicineMathematicsProgramming languageMedical Imaging Techniques and ApplicationsFrailty in Older Adults
Dead or alive? Pitfall of survival analysis with TCGA datasets | Litcius