Evidence map›Paper›PMID 38654165›Full record

ArticleBMC gastroenterology2024

Prognostic analysis of hepatocellular carcinoma based on cuproptosis -associated lncRNAs.

Mingwei Wei, Libai Lu, Zongjiang Luo, Jiasheng Ma, Jianchu Wang

Open access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Multi-Omics Analysis IdentifiedInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Review
  5. Targeting cuproptosis in liver cancer: Molecular mechanisms and therapeutic implications.Apoptosis : an international journal on programmed cell death · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
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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

5 authors at 1 institution in 1 country.

Mingwei Wei *Guangxi Clinical Medical Research Center for Hepatobiliary Diseases, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Libai Lu *Department of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Zongjiang LuoDepartment of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jiasheng MaDepartment of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jianchu WangGuangxi Clinical Medical Research Center for Hepatobiliary Diseases, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. wjianchu@sina.com.
Affiliated Hospital of Youjiang Medical University for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCuproptosis represents an innovative type of cell death, distinct from apoptosis, driven by copper dependency, yet the involvement of copper apoptosis-associated long non-coding RNAs (CRLncRNAs) in hepatocellular carcinoma (HCC) remains unclear. This study is dedicated to unveiling the role and significance of these copper apoptosis-related lncRNAs within the context of HCC, focusing on their impact on both the development of the disease and its prognosis.

methodsWe conducted an analysis of gene transcriptomic and clinical data for HCC cases by sourcing information from The Cancer Genome Atlas database. By incorporating cuproptosis-related genes, we established prognostic features associated with cuproptosis-related lncRNAs. Furthermore, we elucidated the mechanism of cuproptosis-related lncRNAs in the prognosis and treatment of HCC through comprehensive approaches, including Lasso and Cox regression analyses, survival analyses of samples, as well as examinations of tumor mutation burden and immune function.

resultsWe developed a prognostic model featuring six cuproptosis-related lncRNAs: AC026412.3, AC125437.1, AL353572.4, MKLN1-AS, TMCC1-AS1, and SLC6A1-AS1. This model demonstrated exceptional prognostic accuracy in both training and validation cohorts for patients with tumors, showing significantly longer survival times for those categorized in the low-risk group compared to the high-risk group. Additionally, our analyses, including tumor mutation burden, immune function, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway enrichment, and drug sensitivity, further elucidated the potential mechanisms through which cuproptosis-associated lncRNAs may influence disease outcome.

conclusionsThe model developed using cuproptosis-related long non-coding RNAs (lncRNAs) demonstrates promising predictive capabilities for both the prognosis and immunotherapy outcomes of tumor patients. This could play a crucial role in patient management and the optimization of immunotherapeutic strategies, offering valuable insights for future research.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRNA, Long NoncodingApoptosisBiomarkers, TumorCopperFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisSurvival AnalysisTranscriptomeBiomarkers, TumorCopperRNA, Long NoncodingCuproptosis, lncRNAGenomicHCCImmune

Identifiers

PMID38654165
PMCPMC11040954
OpenAlexW4395049210

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.