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. 2023 Jul 22;28:245. doi: 10.1186/s40001-023-01215-2

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Process of screening P4HB. a Upset plot shwnig the intersection of DEGs, prognosis-related genes and ferroptosis-related genes; b volcano plot showing the expression of P4HB and PTGS2 between tumor and normal samples in the TCGA database; c volcano plot showing the expression of P4HB and PTGS2 between tumor and normal samples in the GEO data sets; d bar graph showing the expression of P4HB between tumor and normal samples at pan-cancer level; e bar graph showing P4HB expression between tumor and normal samples in the UALCAN database; f bar graph showing P4HB expression between tumor and normal samples in the GEPIA database; g Kaplan–Meier curve showing the survival differences of high and low P4HB expression using GEPIA database. DEGs differentially expressed genes, TCGA the cancer genome atlas, GEO gene expression omnibus