Evidence map›Paper›PMID 37198416›Full record

ArticleDiscover oncology2023

Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma.

Qixian Wu, Zhenlin Tan, Yu Xiong, Chengxin Gu, Jingdon Zhou, Hui Yang, Jiyuan Zhou

Open access · goldAbstract read
In one paragraph

Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

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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

7 authors at 3 institutions in 1 country.

Qixian Wu *Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zhenlin Tan *Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yu XiongIntervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen, China.
Chengxin GuDepartment of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jingdon ZhouGuangzhou Medical University, Guangzhou, China.
Hui YangDepartment of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. yanghui@gzhmu.edu.cn.
Jiyuan ZhouDepartment of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. jyzhou03@bjmu.edu.cn.
Guangzhou Medical University · CNSecond Affiliated Hospital of Guangzhou Medical University · CNPeking University Shenzhen Hospital · CN

Funding

administration of Traditional Chinese Medicine of Guangdong province 20221244the Guangdong Basic and Applied Basic Research Foundation 2019A1515110060the Guangzhou Health Science and Technology Project 20201A010054the Project of Guangdong Medical Science and Technology Research Foundation A2021009the Project of Guangdong Medical Science and Technology Research Foundation B2020114
6 · The paper itself

Abstract

objectiveThis study aims to build a prognostic model of hepatocellular carcinoma (HCC) with ferroptosis-associated genes and explore their molecular function.

methodsGene expression data and clinical information were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases and the International Cancer Genome Consortium (ICGC). A ferroptosis-associated gene set was obtained from the FerrDb database to identify differentially expressed genes. Then, we performed pathway enrichment analysis and immune infiltration analysis. A combined model based on ferroptosis-associated genes for predicting the overall survival of HCC was built by univariate and multivariate Cox regression analyses. Quantitative real-time polymerase chain reaction, Western blotting, colony formation, CCK-8, and EdU incorporation assays were performed to clarify the function of CAPG in the regulation of cell proliferation in human HCC. Ferroptosis was evaluated by glutathione (GSH), malondialdehyde (MDA), and total iron detection.

resultsForty-nine ferroptosis-related genes were significantly correlated with HCC, 19 of which had prognostic significance. CAPG, SLC7A11 and SQSTM1 were used to construct a novel risk model. The areas under the curves (AUCs) were 0.746 and 0.720 (1 year) in the training and validation groups, respectively. The survival analysis indicated that patients with high risk scores exhibited worse survival in the training and validation groups. The risk score was also identified as an independent prognostic factor of overall survival (OS), which established and validated the predictive abilities of the nomogram. The risk score was also significantly correlated with the expression of immune checkpoint genes. In vitro data showed that CAPG knockdown dramatically suppressed HCC cell proliferation, and the underlying molecular mechanisms might be that the silencing of CAPG reduced the expression of SLC7A11 and promoted ferroptosis.

conclusionThe established risk model can be used to predict the prognosis of HCC. At the mechanistic level, CAPG may drive HCC progression by regulating SLC7A11, and ferroptosis activation in HCC patients with high CAPG expression may serve as a potential therapeutic strategy.

Indexed as

CAPGFerroptosisHepatocellular carcinomaPrognosisSLC7A11

Identifiers

PMID37198416
PMCPMC10192498
OpenAlexW4376958878

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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.