Evidence map›Paper›PMID 39663596›Full record

ArticleJournal of cellular and molecular medicine2024

Identification of Cuproptosis-Related Patterns Predict Prognosis and Immunotherapy Response in Hepatocellular Carcinoma.

Kai Guo, Tianbing Wang, Jimin Yin, Shoushan Yang, Haodong Cui, Zichuan Cao, Qiang Zhao, Gongbo Xie, Jian Lu, Guosheng Gu and 1 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Targeting cuproptosis in liver cancer: Molecular mechanisms and therapeutic implications.Apoptosis : an international journal on programmed cell death · 2025
    Review
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kai GuoDepartment of General Surgery, Anhui No.2 Provincial People's Hospital, Hefei, China.
Tianbing WangDepartment of General Surgery, Anhui No.2 Provincial People's Hospital, Hefei, China.
Jimin YinAnhui No.2 Provincial People's Hospital Clinical College of Anhui Medical University, Hefei, China.
Shoushan YangDepartment of General Surgery, The Fourth People's Hospital of Lu'an, China.
Haodong CuiAnhui No.2 Provincial People's Hospital Clinical College of Anhui Medical University, Hefei, China.
Zichuan CaoDepartment of General Surgery, Anhui No.2 Provincial People's Hospital, Hefei, China.
Qiang ZhaoDepartment of General Surgery, Anhui No.2 Provincial People's Hospital, Hefei, China.
Gongbo XieDepartment of General Surgery, Anhui No.2 Provincial People's Hospital, Hefei, China.
Jian LuDepartment of General Surgery, Anhui No.2 Provincial People's Hospital, Hefei, China.
Guosheng GuDepartment of General Surgery, Anhui No.2 Provincial People's Hospital, Hefei, China.ORCID 0000-0002-7691-5165
Wenyong WuAnhui No.2 Provincial People's Hospital Clinical College of Anhui Medical University, Hefei, China.ORCID 0000-0001-6828-2815

Funding

Anhui Medical University YJS20230209Anhui Provincial Department of Science and Technology 2023xkj117Natural Science Foundation of Higher Education Institutions of Anhui Province 2023AH010084Natural Science Foundation of Higher Education Institutions of Anhui Province 2023AH040391
6 · The paper itself

Abstract

A novel copper-dependent mode of death, cuproptosis, has been newly identified. This study developed a cuproptosis score (CS) based on the cuproptosis model to analyse the association of CS with prognosis, immune cell infiltration, drug sensitivity and immunotherapy response in hepatocellular carcinoma (HCC) patients. A typing model of cuproptosis was constructed based on the expression of 19 cuproptosis-related genes (CRGs). A total of 485 samples were divided into high scoring group (HSG) and low scoring group (LSG) according to CS, and the drug sensitivity and responsiveness to immunotherapy were evaluated by combining the immunophenotype score (IPS), oncoPredict, the tumour immune dysfunction and rejection (TIDE). The use of weighted gene coexpression network analysis (WGCNA) identified key prognostic genes for cuproptosis. Western blotting was used to detect the expression level of the key gene. The CRG key gene glutaminase (GLS) is highly expressed in HCC, and patients with high expression of GLS have a poorer prognosis. Furthermore, cell function experiments, such as proliferation, migration and invasion assays, confirmed that GLS knockdown significantly changed the incidence and progression of HCC. This study suggests that new biological markers associated with cuproptosis can be used in the clinical diagnosis of HCC patients to predict prognosis and therapeutic targets.

Indexed as

Carcinoma, HepatocellularGene Expression Regulation, NeoplasticImmunotherapyLiver NeoplasmsBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationCopperFemaleGene Regulatory NetworksGlutaminaseHumansMalePrognosisBiomarkers, TumorCopperGlutaminasecuproptosishepatocellular carcinomaimmune infiltrationprognostic signature

Identifiers

PMID39663596
PMCPMC11634814

What OpenQuestion holds

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Registered trials

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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.