Evidence map›Paper›PMID 30477582›Full record

ArticleJournal of translational medicine2018

Evaluation of the prognostic value of paraoxonase 1 in the recurrence and metastasis of hepatocellular carcinoma and establishment of a liver-specific predictive model of survival.

Zheng Yu, Qifeng Ou, Fan Chen, Jiong Bi, Wen Li, Jieyi Ma, Rongchang Wang, Xiaohui Huang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

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  4. Multi-omics dissection of RAD21-PON1 axis reveals metabolic-immune crosstalk and prognostic significance in hepatocellular carcinoma.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  20. A Novel Ten-Gene Signature Predicting Prognosis in Hepatocellular Carcinoma.Frontiers in cell and developmental biology · 2020
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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 2 institutions in 1 country.

Zheng YuLaboratory of Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Qifeng OuLaboratory of Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Fan ChenDepartment of Orthopedics Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Jiong BiLaboratory of Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Wen LiLaboratory of Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Jieyi MaLaboratory of Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Rongchang WangDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China. wrc1985wrc@163.com.
Xiaohui HuangLaboratory of Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China. 15626020913@163.com.ORCID 0000-0003-3741-0751
Sun Yat-sen University · CNFirst Affiliated Hospital of Guangzhou Medical University · CN

Funding

Guangzhou Municipal Science and Technology Project 201607010164Guangzhou Municipal Science and Technology Project 201607010309National Natural Science Foundation of China 81072047National Natural Science Foundation of China 81101862National Natural Science Foundation of China 81172079National Natural Science Foundation of China 81201930National Natural Science Foundation of China 81472253National Natural Science Foundation of China 81472258National Natural Science Foundation of China 81572424Natural Science Foundation of Guangdong Province 2014A030313063Science and Technology Planning Project of Guangdong Province 2014A020212083Science and Technology Planning Project of Guangdong Province 2016A020215047Science and Technology Planning Project of Guangdong Province 2016A030303005Science and Technology Planning Project of Guangdong Province 2017A020215016)
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma is a malignant tumor with a highly invasive and metastatic phenotype, and the detection of potential indicators associated with its recurrence and metastasis after surgical resection is critical for patient survival.

methodsTranscriptome data for large cohorts (n = 1432) from multicenter sources were comprehensively analyzed to explore such potential signatures. The prognostic value of the selected indicators was investigated and discussed, and a comparison with conventional clinicopathological features was performed. A survival predictive nomogram for 5-year survival was established with the selected indicator using the Cox proportional hazards regression. To validate the indicator at the protein level, we performed immunohistochemical staining with paraffin-embedded slides of hepatocellular carcinoma samples (n = 67 patients) from our hospital. Finally, a gene set enrichment analysis (GSEA) was performed to detect the underlying biological processes and internal mechanisms.

resultsThe liver-specific protein paraoxonase 1 (PON1) was found to be the most relevant indicator of tumor recurrence, invasiveness, and metastasis in the present study, and the downregulation of PON1 might reveal poor survival for patients with hepatocellular carcinoma. The C-index of the PON1-related nomogram was 0.714, thus indicating a more effective predictive performance than the 7th American Joint Committee on Cancer (AJCC) tumor stage (0.534), AJCC T stage (0.565), or alpha-fetoprotein (0.488). The GSEA revealed that PON1 was associated with several hepatocellular carcinoma-related pathways, including the cell cycle, DNA replication, gap junction and p53 downstream pathways.

conclusionsThe downregulation of paraoxonase 1 may suggest worse outcomes and a higher recurrence rate. Thus, paraoxonase 1 might represent an indicator for predicting the survival of patients with hepatocellular carcinoma.

Indexed as

Models, BiologicalAryldialkylphosphataseCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsNeoplasm MetastasisNeoplasm Recurrence, LocalOrgan SpecificityPrognosisSurvival AnalysisAryldialkylphosphatasePON1 protein, humanHepatocellular carcinomaMetastasisNomogramOverall survivalParaoxonase 1Recurrence

Identifiers

PMID30477582
PMCPMC6258254
OpenAlexW2902503277

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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.