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. 2023 Feb 22;13:38. doi: 10.1186/s13578-023-00985-w

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© The Author(s) 2023

Open AccessThis 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. 4 — ARPC1A is associated with the poor prognosis of PCa patients. A Differences in ARPC1A protein expression among PCa tissue specimens. B Univariate Cox regression analysis for BCR after RP for patients with PCa. C Multivariate Cox regression analysis for BCR after RP for patients with PCa. D The cumulative incidence of BCR after RP in PCa patients with different ARPC1A expression levels from the TMA cohort. E ROC curve of ARPC1A expression levels demonstrates the potential of ARPC1A as a biomarker for predicting BCR after RP. F The cumulative incidence of death in PCa patients with different ARPC1A expression levels from the TCGA cohort. G ROC curve of ARPC1A expression levels demonstrates the potential of ARPC1A as a biomarker for predicting OS