Evidence map›Paper›PMID 31199813›Full record

ArticlePloS one2019

Glypican 6 is a putative biomarker for metastatic progression of cutaneous melanoma.

Yuanyuan Li, Melissa Li, Igor Shats, Juno M Krahn, Gordon P Flake, David M Umbach, Xiaoling Li, Leping Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  15. Article
  16. The Role of Glypicans in Cancer Progression and Therapy.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2020
    Review
  17. Heparan Sulfate Proteoglycan Signaling in Tumor Microenvironment.International journal of molecular sciences · 2020
    Review
  18. Significance of 5-International journal of molecular sciences · 2020
    Review
  19. 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

8 authors at 1 institution in 1 country.

Yuanyuan LiBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.ORCID 0000-0002-0320-5664
Melissa LiBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
Igor ShatsLaboratory of Signal Transduction, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
Juno M KrahnGenome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
Gordon P FlakeCellular and Molecular Pathology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
David M UmbachBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
Xiaoling LiLaboratory of Signal Transduction, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
Leping LiBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
National Institute of Environmental Health Sciences · US

Funding

BioinformaticsZIAES101765 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LI, LEPING · 2009 to 2025
$21.0M
BioinformaticsZ01ES101765 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LI, LEPING · 2004 to 2008
$1.1M
Intramural NIH HHS Z01 ES101765
6 · The paper itself

Abstract

Due to the poor prognosis of advanced metastatic melanoma, it is crucial to find early biomarkers that help identify which melanomas will metastasize. By comparing the gene expression data from primary and cutaneous melanoma samples from The Cancer Genome Atlas (TCGA), we identified GPC6 among a set of genes whose expression levels can distinguish between primary melanoma and regional cutaneous/subcutaneous metastases. Glypicans are thought to play a role in tumor growth by regulating the signaling pathways of Wnt, Hedgehogs, fibroblast growth factors (FGFs), and bone morphogenetic proteins (BMPs). We showed that GPC6 expression was up-regulated in a melanoma cell line compared to normal melanocytes and in metastatic melanoma compared to primary melanoma. Furthermore, GPC6 expression was positively correlated with genes largely involved in cell adhesion and migration in both melanoma samples and in RNA-seq samples from other TCGA tumors. Our results suggest that GPC6 may play a role in tumor metastatic progression. In TCGA melanoma samples, we also showed that GPC6 expression was negatively correlated with miR-509-3p, which has previously been shown to function as a tumor suppressor in various cancer cell lines. We overexpressed miR-509-3p in A375 melanoma cells and showed that GPC6 expression was significantly suppressed. This result suggested that GPC6 was a putative target of miR-509-3p in melanoma. Together, our findings identified GPC6 as an early biomarker for melanoma metastatic progression, one that can be regulated by miR-509-3p.

Indexed as

Gene Expression Regulation, NeoplasticUp-RegulationBiomarkers, TumorCell Line, TumorCutaneous Malignant MelanomaFemaleGlypicansHumansMaleMelanomaMicroRNAsNeoplasm MetastasisNeoplasm ProteinsRNA, NeoplasmSkin NeoplasmsBiomarkers, TumorGlypicansGPC6 protein, humanMicroRNAsMIRN509 microRNA, humanNeoplasm ProteinsRNA, Neoplasm

Identifiers

PMID31199813
PMCPMC6568403
OpenAlexW2953153142

What OpenQuestion holds

Textmetadata
LicenceCC0
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.