Evidence map›Paper›PMID 33414412›Full record

ArticleCell death & disease2021

ACOX2 is a prognostic marker and impedes the progression of hepatocellular carcinoma via PPARα pathway.

Qifan Zhang, Yunbin Zhang, Shibo Sun, Kai Wang, Jianping Qian, Zhonglin Cui, Tao Tao, Jie Zhou

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  8. Impact ofTranslational gastroenterology and hepatology · 2025
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  15. Protein crotonylation: Basic research and clinical diseases.Biochemistry and biophysics reports · 2024
    Review
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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

8 authors at 4 institutions in 1 country.

Qifan ZhangDepartment of General Surgery, Division of Hepatobiliopancreatic Surgery, Nanfang Hospital, Southern Medical University, 1838 North of Guangzhou Avenue, Guangzhou, Guangdong, 510515, China.
Yunbin ZhangShanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Shibo SunDepartment of General Surgery, Division of Hepatobiliopancreatic Surgery, Nanfang Hospital, Southern Medical University, 1838 North of Guangzhou Avenue, Guangzhou, Guangdong, 510515, China.
Kai WangDepartment of General Surgery, Division of Hepatobiliopancreatic Surgery, Nanfang Hospital, Southern Medical University, 1838 North of Guangzhou Avenue, Guangzhou, Guangdong, 510515, China.
Jianping QianDepartment of General Surgery, Division of Hepatobiliopancreatic Surgery, Nanfang Hospital, Southern Medical University, 1838 North of Guangzhou Avenue, Guangzhou, Guangdong, 510515, China.
Zhonglin CuiDepartment of General Surgery, Division of Hepatobiliopancreatic Surgery, Nanfang Hospital, Southern Medical University, 1838 North of Guangzhou Avenue, Guangzhou, Guangdong, 510515, China.
Tao TaoDepartment of Anesthesiology, Central People's Hospital of Zhanjiang, 236 Yuanzhu Road, Zhanjiang, Guangdong, 524045, China. taotaomzk@smu.edu.cn.
Jie ZhouDepartment of General Surgery, Division of Hepatobiliopancreatic Surgery, Nanfang Hospital, Southern Medical University, 1838 North of Guangzhou Avenue, Guangzhou, Guangdong, 510515, China. jacky_smu@163.com.
Nanfang Hospital · CNSouthern Medical University · CNCentral People's Hospital of Zhanjiang · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) has been extensively studied as one of the most aggressive tumors worldwide. However, its mortality rate remains high due to ideal diagnosis and treatment strategies. Uncovering novel genes with prognostic significance would shed light on improving the HCC patient's outcome. In our study, we applied data-independent acquisition (DIA) quantitative proteomics to investigate the expression landscape of 24 paired HCC patients. A total of 1029 differentially expressed proteins (DEPs) were screened. Then, we compared DEPs in our cohort with the differentially expressed genes (DEGs) in The Cancer Genome Atlas, and investigated their prognostic significance, and found 183 prognosis-related genes (PRGs). By conducting protein-protein interaction topological analysis, we identified four subnetworks with prognostic significance. Acyl-CoA oxidase 2 (ACOX2) is a novel gene in subnetwork1, encodes a peroxisomal enzyme, and its function in HCC was investigated in vivo and in vitro. The lower expression of ACOX2 was validated by real-time quantitative PCR, immunohistochemistry, and Western blot. Cell Counting Kit-8 assay, wound healing, and transwell migration assay were applied to evaluate the impact of ACOX2 overexpression on the proliferation and migration abilities in two liver cancer cell lines. ACOX2 overexpression, using a subcutaneous xenograft tumor model, indicated a tumor suppressor role in HCC. To uncover the underlying mechanism, gene set enrichment analysis was conducted, and peroxisome proliferator-activated receptor-α (PPARα) was proposed to be a potential target. In conclusion, we demonstrated a PRG ACOX2, and its overexpression reduced the proliferation and metastasis of liver cancer in vitro and in vivo through PPARα pathway.

Indexed as

AnimalsBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMaleMiceMice, Inbred BALB CMice, NudeMiddle AgedOxidoreductasesACOX2 protein, humanBiomarkers, TumorOxidoreductasesPPAR alphaPPARA protein, human

Identifiers

PMID33414412
PMCPMC7791021
OpenAlexW3120729361

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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.