Evidence map›Paper›PMID 26500026›Full record

ArticleTranslational oncology2015

A Preclinical Model of Inflammatory Breast Cancer to Study the Involvement of CXCR4 and ACKR3 in the Metastatic Process.

Roberto Wurth, Kevin Tarn, Danielle Jernigan, Sandra V Fernandez, Massimo Cristofanilli, Alessandro Fatatis, Olimpia Meucci

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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  11. Disease models & mechanisms · 2017
    Review
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

7 authors at 2 institutions in 1 country.

Roberto WurthDepartment of Pharmacology and Physiology, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19102. Electronic address: rowurth@gmail.com.
Kevin TarnDepartment of Pharmacology and Physiology, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19102. Electronic address: Kevin.Tarn@drexelmed.edu.
Danielle JerniganDepartment of Pharmacology and Physiology, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19102. Electronic address: Danielle.Jernigan@drexelmed.edu.
Sandra V FernandezDepartment of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 233 S. 10th Street, Philadelphia, PA 19107. Electronic address: Sandra.Fernandez@jefferson.edu.
Massimo CristofanilliDepartment of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 233 S. 10th Street, Philadelphia, PA 19107. Electronic address: Massimo.Cristofanilli@jefferson.edu.
Alessandro FatatisDepartment of Pharmacology and Physiology, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19102; Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19012; Biology of Prostate Cancer Program, Sidney Kimmel Cancer Center, Thomas Jefferson University, 233 S. 10th Street, Philadelphia, PA 19107. Electronic address: afatatis@drexelmed.edu.
Olimpia MeucciDepartment of Pharmacology and Physiology, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19102; Department of Microbiology and Immunology, Drexel University College of Medicine, 245 N. 15th Street, Philadelphia, PA 19102. Electronic address: omeucci@drexelmed.edu.
Drexel University · USSidney Kimmel Cancer Center · US

Funding

Role of chemokine receptors in neuronal survivalR01DA015014 · NIDA · MCP HAHNEMANN UNIVERSITY · PI MEUCCI, OLIMPIA · 2001 to 2017
$4.3M
Effects of opiates on neurons and their impact on HIV neuropathologyR01DA032444 · NIDA · DREXEL UNIVERSITY · PI MEUCCI, OLIMPIA · 2012 to 2023
$3.8M
NIDA NIH HHS R01 DA015014NIDA NIH HHS R01 DA032444
6 · The paper itself

Abstract

Inflammatory breast cancer (IBC) is an aggressive and invasive tumor, accounting for 2.5% of all breast cancer cases, and characterized by rapid progression, regional and distant metastases, younger age of onset, and lower overall survival. Presently, there are no effective therapies against IBC and a paucity of model systems. Our aim was to develop a clinically relevant IBC model that would allow investigations on the role of chemokine receptors in IBC metastasis. Primary cultures of tumor cells were isolated from pleural exudates of an IBC patient and grown as spheres or monolayers. We developed a human xenograft model where patient-derived IBC cells, stably transduced with lentiviral vectors expressing fluorescent and bioluminescent markers, were inoculated directly into the left ventricle of mice. Our in vivo data show that these IBC cells (FC-IBC02A) are able to seed and proliferate into various organs, including brain, lungs, lymph nodes, and bone, closely replicating the metastatic spread observed in IBC patients. Moreover, cells were able to generate tumors when grafted in the mammary fat pad of mice. RT-PCR and microscopy studies revealed expression of both CXCR4 and ACKR3 receptors in FC-IBC02A cells. Furthermore, CXCL12 (the endogenous chemokine ligand of these receptors) induced transendothelial migration of these cells and stimulated signaling pathways involved in cell survival and migration - an effect reduced by CXCR4 or ACKR3 antagonists. This new model can be used to develop chemokine-based pharmacological approaches against the IBC metastatic process. This work also provides the first evidence of ACKR3 expression in IBC cells.

Identifiers

PMID26500026
PMCPMC4631055
OpenAlexW2156728383

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.