Evidence map›Paper›PMID 34587931›Full record

ArticleBMC cancer2021

MMP1 and MMP9 are potential prognostic biomarkers and targets for uveal melanoma.

Tianyu Wang, Yuanyuan Zhang, Jianhao Bai, Yawen Xue, Qing Peng

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Targeting Matrix Metalloproteinases and Their Inhibitors in Melanoma.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
    Review
  16. Review
  17. MMP11 and MMP17 are potential biomarkers for uterine corpus endometrial carcinoma prognosis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    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

5 authors at 2 institutions in 1 country.

Tianyu WangDepartment of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Yuanyuan ZhangDepartment of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Jianhao BaiDepartment of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Yawen XueDepartment of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Qing PengDepartment of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China. pengqing@tongji.edu.cn.
Tongji University · CNShanghai Tenth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUveal melanoma (UVM) is the leading cause of eye-related mortality worldwide. This study aimed to explore the expression and prognostic value of matrix metalloproteinases (MMPs) in UVM.

methodsGene expression levels were obtained from the Gene Expression Omnibus (GEO) and Oncomine databases. Functional and pathway enrichment analyses were performed using the Metascape database. GeneMANIA was then applied to construct a protein-protein interaction network and identify the hub genes. Moreover, overall survival (OS) and disease-free survival (DFS) analysis for the hub genes was performed using the UALCAN and Gene Expression Profiling Interactive Analysis (GEPIA) online tool. Furthermore, TRRUST was used to predict the targets of the MMPs.

resultsOur results revealed that the transcriptional levels of MMP1, MMP9, MMP10, MMP11, MMP13, MMP14, and MMP17 were upregulated in UVM tissues compared to normal tissues. A protein-protein interaction (PPI) network was constructed and the top 50 hub genes were identified. The functions of MMPs and their neighboring proteins are mainly associated with ECM-receptor interaction, proteoglycans in cancer, the IL-17 signaling pathway, and microRNAs in cancer. Among the MMPs, MMP1/2/9/11/14/15/16/17/24 played significant roles in the progression of UVM from stage 3 to stage 4. We also found that the expression of MMP1, MMP2, MMP9, and MMP16 positively correlated with OS and DFS in patients with UVM. Additionally, 18 transcription factors associated with nine MMPs were identified.

conclusionsThe results of this study may provide potential biomarkers and targets for UVM. However, further studies are required to confirm these results.

Indexed as

Biomarkers, TumorCollagenasesDatabases, GeneticDisease-Free SurvivalDisease ProgressionGene Expression ProfilingHumansMatrix Metalloproteinase 1Matrix Metalloproteinase 9MelanomaPrognosisProtein Interaction MapsTranscription FactorsUp-RegulationUveaUveal MelanomaBiomarkers, TumorCollagenasesMatrix Metalloproteinase 1Matrix Metalloproteinase 9MMP1 protein, humanMMP9 protein, humanTranscription FactorsDisease-free survivalMatrix metallopeptidaseOverall survivalPrognosisProtein-protein interactionTranscriptional level

Identifiers

PMID34587931
PMCPMC8482640
OpenAlexW3149906897

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LicenceCC BY
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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.