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Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’
The current paper is a commentary on the Metabolic reprogramming‐associated genes predict overall survival for rectal cancer (Jian‐Qing Lin et al 2020). The authors concluded that ‘Patients with high‐risk demonstrated significantly poorer survival outcomes than patients with low‐risk in the TCGA dat...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686981/ https://www.ncbi.nlm.nih.gov/pubmed/33090720 http://dx.doi.org/10.1111/jcmm.15938 |
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author | Shen, Ruihuan |
author_facet | Shen, Ruihuan |
author_sort | Shen, Ruihuan |
collection | PubMed |
description | The current paper is a commentary on the Metabolic reprogramming‐associated genes predict overall survival for rectal cancer (Jian‐Qing Lin et al 2020). The authors concluded that ‘Patients with high‐risk demonstrated significantly poorer survival outcomes than patients with low‐risk in the TCGA database. Also, patients with high‐risk still showed significantly poorer survival outcomes than patients with low‐risk in the GEO database’. But the figure 3 in their published paper, ‘Survival analyses for the prognostic metabolic genes in rectal cancer’, presented that there was type I error in their study during the hypothesis testing process, obviously. |
format | Online Article Text |
id | pubmed-7686981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76869812020-12-03 Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ Shen, Ruihuan J Cell Mol Med Commentary The current paper is a commentary on the Metabolic reprogramming‐associated genes predict overall survival for rectal cancer (Jian‐Qing Lin et al 2020). The authors concluded that ‘Patients with high‐risk demonstrated significantly poorer survival outcomes than patients with low‐risk in the TCGA database. Also, patients with high‐risk still showed significantly poorer survival outcomes than patients with low‐risk in the GEO database’. But the figure 3 in their published paper, ‘Survival analyses for the prognostic metabolic genes in rectal cancer’, presented that there was type I error in their study during the hypothesis testing process, obviously. John Wiley and Sons Inc. 2020-10-22 2020-11 /pmc/articles/PMC7686981/ /pubmed/33090720 http://dx.doi.org/10.1111/jcmm.15938 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Commentary Shen, Ruihuan Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ |
title | Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ |
title_full | Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ |
title_fullStr | Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ |
title_full_unstemmed | Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ |
title_short | Commentary on ‘Metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ |
title_sort | commentary on ‘metabolic reprogramming‐associated genes predict overall survival for rectal cancer’ |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686981/ https://www.ncbi.nlm.nih.gov/pubmed/33090720 http://dx.doi.org/10.1111/jcmm.15938 |
work_keys_str_mv | AT shenruihuan commentaryonmetabolicreprogrammingassociatedgenespredictoverallsurvivalforrectalcancer |