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. 2026 Jun 19;24:1144. doi: 10.1186/s12967-026-08468-5

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© The Author(s) 2026

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 1 — Overexpression of ENO1 and PKM in HBV-Related HCC is associated with patient survival. (A-B) Based on GEPIA database, ENO1 (A) and PKM (B) were highly expressed in HCC tissues than that in adjacent normal tissues. * P < 0.05. ** P < 0.01. *** P < 0.001. (C-D) Analysis of GEPIA database indicated that, high expression of ENO1 (C) and PKM (D) in patients with HCC was associated with shorter overall survival and progression-free survival. (E-F) By analysis of TCGA database with the TIDE analytical tool, high expression of ENO1 (E) and PKM (F) was positively correlated with multiple immune checkpoint genes, including PD1 (CD274), CTLA4, HAVCR2, TIGIT, and CD40. * P < 0.05. ** P < 0.01. *** P < 0.001. **** P < 0.0001. (G) High expression of ENO1 and PKM indicated high TIDE score. **** P < 0.0001. (H-I) By CIBERSORT algorithm, ENO1 (H) and PKM (I) were associated with immune cell infiltration patterns in the tumor microenvironment. * P < 0.05. ** P < 0.01. *** P < 0.001. The symbol “ns” represented differences that were not statistically significant