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. 2023 Sep 29;13:16408. doi: 10.1038/s41598-023-43495-y

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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/.

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Establishment of a six-gene prognostic signature based on CAF marker genes. (A) Forest map showing the seven genes with P < 0.05 obtained by univariate Cox regression analysis. (B) LASSO regression of the seven OS-related genes. (C) Tuning parameter (λ) selection cross-validation curve of these seven genes. (D) Division of PAAD patients into high-risk and low-risk groups based on median risk score. (E) Survival status of patients in the two subgroups (Blue dot: Alive, Red dot: Dead). (F) PCA plots according to risk scores in PAAD patients. (G) Kaplan–Meier analysis of OS of PAAD patients in the two subgroups. (H) ROC curve analysis of the prognostic efficiency of the risk model. (I) The relationship between CAF-associated prognostic subtypes (low-risk and high-risk group) and PDAC tumor subtypes (basal-like and classical group) in TCGA (P = 0.001).