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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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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 |
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author | Idogawa, Masashi Koizumi, Masayo Hirano, Tomomi Tange, Shoichiro Nakase, Hiroshi Tokino, Takashi |
author_facet | Idogawa, Masashi Koizumi, Masayo Hirano, Tomomi Tange, Shoichiro Nakase, Hiroshi Tokino, Takashi |
author_sort | Idogawa, Masashi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8726696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-87266962022-01-05 Dead or alive? Pitfall of survival analysis with TCGA datasets Idogawa, Masashi Koizumi, Masayo Hirano, Tomomi Tange, Shoichiro Nakase, Hiroshi Tokino, Takashi Cancer Biol Ther Journal Club 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. Taylor & Francis 2021-09-16 /pmc/articles/PMC8726696/ /pubmed/34530682 http://dx.doi.org/10.1080/15384047.2021.1979845 Text en © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Journal Club Idogawa, Masashi Koizumi, Masayo Hirano, Tomomi Tange, Shoichiro Nakase, Hiroshi Tokino, Takashi Dead or alive? Pitfall of survival analysis with TCGA datasets |
title | Dead or alive? Pitfall of survival analysis with TCGA datasets |
title_full | Dead or alive? Pitfall of survival analysis with TCGA datasets |
title_fullStr | Dead or alive? Pitfall of survival analysis with TCGA datasets |
title_full_unstemmed | Dead or alive? Pitfall of survival analysis with TCGA datasets |
title_short | Dead or alive? Pitfall of survival analysis with TCGA datasets |
title_sort | dead or alive? pitfall of survival analysis with tcga datasets |
topic | Journal Club |
url | 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 |
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