Evidence map›Paper›PMID 38616759›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2025

Anthocyanin-Mediated Autophagy in Hepatocellular Carcinoma: Gene Associations and Prognostic Implications.

Juan Du, Enhua Shen

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In one paragraph

Article in Endocrine, metabolic & immune disorders drug targets, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Juan DuSecond Internal Medicine, Jilin Cancer Hospital, Changchun, Jilin, 130012, China.
Enhua ShenDepartment of Infectious Diseases, Jilin Province Faw General Hospital, Changchun, Jilin, 130013, China.
Jilin Province Tumor Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a globally prevalent malignancy accompanied by high incidence, poor outcomes, and high mortality. Anthocyanins can inhibit tumor proliferation, migration, invasion, and promote apoptosis. Moreover, autophagy-related genes (ARGs) may play vital roles in HCC progression. This study aimed to decipher the mechanisms through which anthocyanins influence HCC via ARGs and to establish a novel prognostic model.

methodsBased on data from public databases, differential analysis and the Venn algorithm were employed to detect intersecting genes among differentially expressed genes (DEGs), anthocyanin- related targets, and ARGs. Consensus clustering was implemented to delineate molecular subtypes of HCC. The prognostic model was developed by Cox regression analyses. CIBIRSORT was engaged to assess the immune cell infiltration. Kaplan-Meier (KM) analysis and receiver operating characteristic (ROC) curve were utilized to evaluate the predictive efficiency of the prognostic signature.

resultsA total of 36 intersecting genes were identified from overlapping 1524 ARGs, 537 anthocyanin- related targets, and 5247 DEGs. Consensus clustering determined three molecular subtypes (cluster 1, cluster 2, and cluster 3). Cluster 1 showed worse outcomes and remarkably higher abundances of plasma cells and T follicular helper cells. Furthermore, four prognostic signatures (KDR (Kinase insert domain receptor), BAK1 (BCL2 antagonist/killer 1), HDAC1 (Histone deacetylase 1), and CDK2 (Cyclin-dependent kinase 2)) were identified and showing substantial predictive efficacy.

conclusionThis investigation identified three molecular subtypes of HCC patients and proposed a promising prognostic signature comprising KDR, BAK1, HDAC1, and CDK2, which could supply further robust evidence for additional clinical and functional studies.

Indexed as

AnthocyaninsAutophagyBiomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsGene Expression Regulation, NeoplasticGenetic Association StudiesHumansPrognosisAnthocyaninsBiomarkers, TumoranthocyaninautophagyHepatocellular carcinomaimmune cell infiltration.molecular subtypeprognostic signature

Identifiers

PMID38616759
OpenAlexW4394818510

What Socratic 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 Socratic graph.