Evidence map›Paper›PMID 26205821›Full record

ArticleThe Journal of biological chemistry2015

PAX3 and FOXD3 Promote CXCR4 Expression in Melanoma.

Jennifer D Kubic, Jason W Lui, Elizabeth C Little, Anton E Ludvik, Sasank Konda, Ravi Salgia, Andrew E Aplin, Deborah Lang

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
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  12. Promise of chemokine network-targeted nanoparticles in combination nucleic acid therapies of metastatic cancer.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019
    Review
  13. Cancer cell international · 2019
    Article
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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 2 countries.

Jennifer D KubicFrom the Department of Medicine, Section of Dermatology and.
Jason W LuiFrom the Department of Medicine, Section of Dermatology and.
Elizabeth C LittleFrom the Department of Medicine, Section of Dermatology and.
Anton E LudvikFrom the Department of Medicine, Section of Dermatology and.
Sasank KondaFrom the Department of Medicine, Section of Dermatology and.
Ravi SalgiaSection of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637 and.
Andrew E Aplinthe Department of Cancer Biology and Kimmel Cancer Center, and Department of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107.
Deborah LangFrom the Department of Medicine, Section of Dermatology and dlang@medicine.bsd.uchicago.edu.
Pediatrics and Genetics · USSidney Kimmel Cancer Center · USUniversity of Central Lancashire Cyprus · CYUniversity of Chicago · US

Funding

Molecular And Cellular Biology Training ProgramT32GM007183 · NIGMS · UNIVERSITY OF CHICAGO · PI GLICK, BENJAMIN S, RICE, PHOEBE A · 1985 to 2021
$23.9M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Regulation of the Melanocyte Lineage by the AP2 Transcription Factor FamilyR01AR062547 · NIAMS · UNIVERSITY OF WASHINGTON · PI CORNELL, ROBERT AARON · 2013 to 2022
$3.8M
Request for Supplemental Funds aligned to CA160495R01CA160495 · NCI · THOMAS JEFFERSON UNIVERSITY · PI APLIN, ANDREW ERIC · 2012 to 2022
$3.6M
Short Term Training: Health Professional StudentsT35DK062719 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 2003 to 2017
$2.9M
PAX3 pathways in melanomaR01CA184001 · NCI · UNIVERSITY OF CHICAGO · PI LANG, DEBORAH · 2015 to 2019
$1.8M
Pax3, Melanocyte Stem Cells and MelanomaR01CA130202 · NCI · UNIVERSITY OF CHICAGO · PI LANG, DEBORAH · 2009 to 2013
$1.6M
NCATS NIH HHS UL1 TR000430NCI NIH HHS R01 CA130202NCI NIH HHS R01 CA160495NCI NIH HHS R01 CA184001NCI NIH HHS R01CA184001NIAMS NIH HHS R01 AR062547NIAMS NIH HHS R01-AR062547NIDDK NIH HHS T35 DK062719NIGMS NIH HHS T32 GM007183
6 · The paper itself

Abstract

Metastatic melanoma is an aggressive and deadly disease. The chemokine receptor CXCR4 is active in melanoma metastasis, although the mechanism for the promotion and maintenance of CXCR4 expression in these cells is mostly unknown. Here, we find melanoma cells express two CXCR4 isoforms, the common version and a variant that is normally restricted to cells during development or to mature blood cells. CXCR4 expression is driven through a highly conserved intronic enhancer element by the transcription factors PAX3 and FOXD3. Inhibition of these transcription factors slows melanoma cell growth, migration, and motility, as well as reduces CXCR4 expression. Overexpression of these transcription factors drives the production of increased CXCR4 levels. Loss of PAX3 and FOXD3 transcription factor activity results in a reduction in cell motility, migration, and chemotaxis, all of which are rescued by CXCR4 overexpression. Here, we discover a molecular pathway wherein PAX3 and FOXD3 promote CXCR4 gene expression in melanoma.

Indexed as

Gene Expression Regulation, Neoplastic3T3 CellsAnimalsBlotting, WesternCell Line, TumorCell MovementEnhancer Elements, GeneticForkhead Transcription FactorsHEK293 CellsHumansIntronsMelanomaMicePaired Box Transcription FactorsPAX3 Transcription FactorProtein BindingCXCR4 protein, humanForkhead Transcription FactorsFOXD3 protein, humanPaired Box Transcription FactorsPAX3 protein, humanPAX3 Transcription FactorReceptors, CXCR4DNA-protein interactiongene expressiongene regulationmelanomatranscription factor

Identifiers

PMID26205821
PMCPMC4571945
OpenAlexW1807580977

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.