ArticleAging2023
Identification of fatty acid metabolism-related clusters and immune infiltration features in hepatocellular carcinoma.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Prognostic modeling and immune infiltration analysis in hepatocellular carcinoma using glutathione metabolism-associated genes.European journal of medical research · 2025Article
- Achieving textbook outcome in liver resection for hepatocellular carcinoma: malnutrition's pivotal role.Langenbeck's archives of surgery · 2025Article
- Detection of the Prognostic Gene CYB5D2 in Cervical Squamous Epithelial Lesions.Mediators of inflammation · 2025Article
- Article
- Cardiometabolic risk factors in MASLD patients with HCC: the other side of the coin.Frontiers in endocrinology · 2024Review
- Identification of prognostic biomarkers for hepatocellular carcinoma based on the m6A RNA modification.International journal of immunopathology and pharmacologyArticle
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular Carcinoma (HCC) is a type of liver cancer which is characterized by inflammation-associated tumor. The unique characteristics of tumor immune microenvironment in HCC contribute to hepatocarcinogenesis. It was also clarified that aberrant fatty acid metabolism (FAM) might accelerate tumor growth and metastasis of HCC. In this study, we aimed to identify fatty acid metabolism-related clusters and establish a novel prognostic risk model in HCC. Gene expression and corresponding clinical data were searched from the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) portal. From the TCGA database, by unsupervised clustering method, we determined three FAM clusters and two gene clusters with distinct clinicopathological and immune characteristics. Based on 79 prognostic genes identified from 190 differentially expressed genes (DEGs) among three FAM clusters, five prognostic DEGs (CCDC112, TRNP1, CFL1, CYB5D2, and SLC22A1) were determined to construct risk model by least absolute shrinkage and selection operator (LASSO) and multivariate cox regression analysis. Furthermore, the ICGC dataset was used to validate the model. In conclusion, the prognostic risk model constructed in this study exhibited excellent indicator performance of overall survival, clinical feature, and immune cell infiltration, which has the potential to be an effective biomarker for HCC immunotherapy.
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Registered trials
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