Evidence map›Paper›PMID 37361216›Full record

ArticleFrontiers in pharmacology2023

ICD-related risk model predicts the prognosis and immunotherapy response of patients with liver cancer.

Duntao Su, Zeyu Zhang, Fada Xia, Qiuju Liang, Yuanhong Liu, Wei Liu, Zhijie Xu

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Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Duntao SuDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zeyu ZhangDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Fada XiaDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qiuju LiangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuanhong LiuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wei LiuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhijie XuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunogenic cell death (ICD) is a novel cell death mechanism that activates and regulates the immune system against cancer. However, its prognostic value in liver cancer remains unclear. Here, several algorithms such as correlation analysis, Cox regression analysis, and Lasso regression analysis were carried out to evaluate the prognostic value of ICD-related genes in patients with liver cancer. Three ICD-related prognostic genes, the prion protein gene (PRNP), dynamin 1-like gene (DNM1L), and caspase-8 (CASP8), were identified and used to construct a risk signature. Patients with liver cancer were categorized into high- and low-risk groups using the ICD-related signature. Subsequently, a multivariate regression analysis revealed that the signature was an independent risk factor in liver cancer [hazard ratio (HR) = 6.839; 95% confidence interval (CI) = 1.625-78.785]. Patient survival was also predicted using the risk model, with area under the curve values of 0.75, 0.70, and 0.69 for 1-, 3-, and 5-year survival, respectively. Finally, a prognostic nomogram containing the clinical characteristics and risk scores of patients was constructed. The constructed ICD-related signature could serve as a prognostic and immunotherapeutic biomarker in liver cancer.

Indexed as

immunogenic cell deathliver cancerprognosissignaturetumor immune microenvironment

Identifiers

PMID37361216
PMCPMC10285067

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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.