Evidence map›Paper›PMID 32175417›Full record

ArticleAnnals of translational medicine2020

Expression and prognostic potential of GPX1 in human cancers based on data mining.

Ruqiong Wei, Hongtu Qiu, Jianwen Xu, Juanmei Mo, Ying Liu, Yuchang Gui, Guangyou Huang, Shunrong Zhang, Hongfang Yao, Xiaoxiao Huang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 68 citations in OpenAlex.

  1. Selenium-Containing Compounds in Breast Cancer Therapy.Biological trace element research · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. GPX1 expression promotes stemness and aggressiveness in myxoid liposarcomas.International journal of biological sciences · 2025
    Article
  10. Article
  11. Review
  12. Glutathione-Dependent Pathways in Cancer Cells.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. "Alphabet" Selenoproteins: Implications in Pathology.International journal of molecular sciences · 2023
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

11 authors at 2 institutions in 1 country.

Ruqiong WeiDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Hongtu QiuDepartment of Oncology, Guangxi International Zhuang Medicine Hospital, Nanning 530021, China.
Jianwen XuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Juanmei MoDepartment of Oncology, Guangxi International Zhuang Medicine Hospital, Nanning 530021, China.
Ying LiuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Yuchang GuiDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Guangyou HuangDepartment of Oncology, Guangxi International Zhuang Medicine Hospital, Nanning 530021, China.
Shunrong ZhangDepartment of Oncology, Guangxi International Zhuang Medicine Hospital, Nanning 530021, China.
Hongfang YaoDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Xiaoxiao HuangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Zhichuan GanDepartment of Oncology, Guangxi International Zhuang Medicine Hospital, Nanning 530021, China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlutathione peroxidase-1 (GPX1) is a member of the GPX family, which considered an enzyme that interacts with oxidative stress. GPX1 differential expression is closely correlated with carcinogenesis and disease progression. In this study, we used bioinformatics analysis to investigate GPX1 expression level and explore the prognostic information in different human cancers.

methodsExpression was analyzed via the Oncomine database and Gene Expression Profiling Interactive Analysis tool, and potential prognostic analysis was evaluated using the UALCAN, GEPIA, and DriverDBv3 databases. Then, the UALCAN database was used to find the promoter methylation of GPX1 in defied cancer types. While GPX1 related functional networks were found within the GeneMANIA interactive tool and Cytoscape software. Moreover, Metascape online website was used to analyze Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways.

resultsWe found that GPX1 was commonly overexpressed in most human cancers. High expression of GPX1 could lead to poor outcomes in Brain Lower Grade Glioma, while GPX1 over expression was correlated with better prognosis in Kidney renal papillary cell carcinoma (KIPP). High GPX1 expression was marginally associated with poor prognosis in acute myeloid leukemia (AML). Gene regulation network suggested that GPX1 mainly involved in pathways including the glutathione metabolism, ferroptosis, TP53 regulates metabolic genes, reactive oxygen species (ROS) metabolic process, and several other signaling pathways.

conclusionsOur findings revealed that GPX1 showed significant expression differences among cancers and served as a prognostic biomarker for defined cancer types. The data mining effectively revealed useful information about GPX1 expression, prognostic values, and potential functional networks in cancers, thus providing researchers with an available way to further explore the mechanism underlying carcinogenesis of genes of interest in different cancers.

Indexed as

carcinogenensisGlutathione peroxidase-1 (GPX1)methylationprognostic biomarker

Identifiers

PMID32175417
PMCPMC7049064
OpenAlexW3008134242

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.