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Article | Open Access

A novel prognostic scoring model based on cuproptosis identifies COMMD1 as a novel therapy target for liver hepatocellular carcinoma

KE TIAN1ZHIPENG LI2XIANGYU ZHAI2,3HUAXIN ZHOU2HUI YAO1( )
General Surgery Department 2, The No. 2 People’s Hospital of Lanzhou, Lanzhou, 730030, China
The Hepatobiliary Surgery Department, The Second Hospital of Shandong University, Jinan, 250000, China
Organ Transplant Department, Qilu Hospital of Shandong University, Jinan, 250000, China
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Abstract

Background

Primary liver cancer poses a significant global health burden, with projections indicating a surpassing of one million cases by 2025. Cuproptosis, a copper-dependent mechanism of cell death, plays a crucial role in the pathogenesis, progression, and prognosis of various cancers, including hepatocellular carcinoma (HCC).

Purpose

This study aimed to develop a prognostic model for HCC based on cuproptosis-related genes, utilizing clinical data and gene expression profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.

Materials and Methods

Clinical features and gene expression data of HCC patients were collected from publicly available databases. Patients from TCGA were randomly divided into training and testing sets, and Lasso Cox regression was applied to develop a predictive model using cuproptosis-related genes.

Results

The analysis identified Copper Metabolism Domain Containing 1 (COMMD1) as a potential prognostic marker for HCC, with deletion of this gene impacting disease progression. Cellular functional experiments validated the role of COMMD1 in HCC.

Conclusions

COMMD1 emerges as a promising candidate for HCC treatment, with implications for prognosis prediction and therapeutic targeting.

References

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Oncology Research
Pages 617-630

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Cite this article:
TIAN K, LI Z, ZHAI X, et al. A novel prognostic scoring model based on cuproptosis identifies COMMD1 as a novel therapy target for liver hepatocellular carcinoma. Oncology Research, 2025, 33(3): 617-630. https://doi.org/10.32604/or.2024.049772

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Received: 17 January 2024
Accepted: 16 May 2024
Published: 28 February 2025
© The Author 2024.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.