Evidence map›Paper›PMID 40866730›Full record

ArticleDigestive diseases and sciences2026

Exploring Cuproptosis-Related Prognostic Signature for Hepatocellular Carcinoma: Bioinformatics and In Vitro Analyses.

Kaige Li, Xue Wang, Yanna Wang, Liucun Zhu, Kang Han, Yanting Zhang, Wenna Guo

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Article in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Kaige Li *School of Life Sciences, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, China.
Xue Wang *School of Life Sciences, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, China.
Yanna WangSchool of Life Sciences, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, China.
Liucun ZhuSchool of Life Sciences, Shanghai University, Shanghai, 20444, China.
Kang HanDepartment of Pathology, Henan Provincial People's Hospital, Zhengzhou, 450001, China.
Yanting ZhangSchool of Life Sciences, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, China.
Wenna GuoSchool of Life Sciences, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, China. guowenna@zzu.edu.cn.

Funding

The Key Science and Technology Research Project of Henan Province of China 242102311166The National Natural Science Foundation of China 82103055
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a prevalent malignant tumor with a poor prognosis. Cuproptosis, a newly identified form of programmed cell death, holds potential prognostic value in cancers, but its significance in HCC remains limited.

methodsDifferentially expressed cuproptosis-related genes (CRGs) were identified. Univariate and multivariate Cox analyses were used to construct a prognostic model. The model's performance and independence were evaluated using Kaplan-Meier curves, ROC, and Cox regression analyses. Immune infiltration was assessed via Cibersort, and underlying mechanisms were explored using Gene Set Enrichment Analysis (GSEA). Additionally, in vitro experiments were applied to assess the functional impact of key genes on the proliferation, invasion, and migration of HCC cells.

resultsA prognostic CRG model consisting of AACS, ABCB6, and CKAP2 was developed. Kaplan-Meier analysis showed significantly lower survival rates in high-risk groups. ROC analysis indicated superior predictive accuracy of the signature compared to individual genes. Cox regression analysis confirmed its independence as a prognostic factor. Moreover, the CRG model was significantly correlated with stromal score, regulatory T cells, and M0 macrophages. High-risk patients exhibited enrichment in pathways including cell cycle, meiosis, mitotic nuclear division, and DNA replication. In vitro experiments confirmed significantly upregulated AACS expression in HCC cells (P < 0.05), and its knockdown markedly suppressed HCC cell proliferation, invasion, and migration.

conclusionThis study established and validated a prognostic model for HCC by using CRGs and demonstrated high predictive effectiveness. These findings enhance the understanding of CRGs and offer theoretical support for prognostic prediction in HCC.

Indexed as

CuproptosisHepatocellular carcinomaImmune infiltrationPrognosisSignature

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.