J Cancer 2024; 15(8):2260-2275. doi:10.7150/jca.92558 This issue Cite

Research Paper

Development and Validation of the novel Cuproptosis- and Immune-related Signature for Predicting Prognosis in Hepatocellular Carcinoma

Yongping Zhang1†, Ping Sui2†, Cheng Zhong3,4✉, Jiansheng Liu1✉

1. Department of Hepatobiliary and Pancreatic Surgery, The First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.
2. Department of Oncology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China.
3. Department of Orthopedics, The first clinical medical college of Guangzhou University of Chinese Medicine, Guangzhou, 515000, China.
4. Department of Orthopedics, Jiangmen Hospital of Traditional Chinese Medicine Affiliated to Jinan University, Jiangmen, 52900, China.
These authors contributed equally to this work.

Citation:
Zhang Y, Sui P, Zhong C, Liu J. Development and Validation of the novel Cuproptosis- and Immune-related Signature for Predicting Prognosis in Hepatocellular Carcinoma. J Cancer 2024; 15(8):2260-2275. doi:10.7150/jca.92558. https://www.jcancer.org/v15p2260.htm
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Abstract

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Background: Hepatocellular carcinoma often results in late-stage diagnosis, leading to decreased treatment success. To improve prognosis, this study integrates cuproptosis with immune risk scoring models for HCC patients.

Method: We identified differentially expressed genes connected to cuproptosis and immune responses using Pearson correlation. A risk signature was then constructed via LASSO regression, and its robustness was validated in the International Cancer Genome Consortium dataset. Additionally, qPCR confirmed findings in tumor and normal tissues.

Results: Eight genes emerged as key prognostic markers from the 110 differentially expressed genes linked to cuproptosis and immunity. A risk-scoring model was developed using gene expression, effectively categorizing patients into low- or high-risk groups. Validated in the ICGC dataset, high-risk patients had significantly reduced survival times. Multivariate Cox regression affirmed the risk signature's independent predictive capability. A clinical nomogram based on the risk signature was generated. Notably, low-risk patients might benefit more from immune checkpoint inhibitors. qPCR and western blotting results substantiated our bioinformatics findings.

Conclusions: The genetic risk signature linked to cuproptosis and immunity holds potential as a vital prognostic biomarker for Hepatocellular carcinoma, providing avenues for tailored therapeutic strategies.

Keywords: Hepatocellular Carcinoma, Cuproptosis, Immune related genes, Targeted Therapy, qPCR


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APA
Zhang, Y., Sui, P., Zhong, C., Liu, J. (2024). Development and Validation of the novel Cuproptosis- and Immune-related Signature for Predicting Prognosis in Hepatocellular Carcinoma. Journal of Cancer, 15(8), 2260-2275. https://doi.org/10.7150/jca.92558.

ACS
Zhang, Y.; Sui, P.; Zhong, C.; Liu, J. Development and Validation of the novel Cuproptosis- and Immune-related Signature for Predicting Prognosis in Hepatocellular Carcinoma. J. Cancer 2024, 15 (8), 2260-2275. DOI: 10.7150/jca.92558.

NLM
Zhang Y, Sui P, Zhong C, Liu J. Development and Validation of the novel Cuproptosis- and Immune-related Signature for Predicting Prognosis in Hepatocellular Carcinoma. J Cancer 2024; 15(8):2260-2275. doi:10.7150/jca.92558. https://www.jcancer.org/v15p2260.htm

CSE
Zhang Y, Sui P, Zhong C, Liu J. 2024. Development and Validation of the novel Cuproptosis- and Immune-related Signature for Predicting Prognosis in Hepatocellular Carcinoma. J Cancer. 15(8):2260-2275.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
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