Evidence map›Paper›PMID 25950608›Full record

ArticleScientific reports2015

Metastatic breast cancer cells in lymph nodes increase nodal collagen density.

Asif Rizwan, Camille Bulte, Anusha Kalaichelvan, Menglin Cheng, Balaji Krishnamachary, Zaver M Bhujwalla, Lu Jiang, Kristine Glunde

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

43 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
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  3. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
    Review
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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 3 institutions in 1 country.

Asif RizwanThe Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Camille Bulte1] The Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland [2] Department of Neuroscience, College of Literature, Science, and the Arts Honors Program, University of Michigan - Ann Arbor, Michigan.
Anusha Kalaichelvan1] The Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland [2] Department of Health Sciences, Western University, London, Ontario, Canada.
Menglin ChengThe Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Balaji KrishnamacharyThe Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Zaver M Bhujwalla1] The Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland [2] The Johns Hopkins University School of Medicine, The Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland.
Lu JiangThe Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kristine Glunde1] The Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland [2] The Johns Hopkins University School of Medicine, The Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland.
Johns Hopkins University · USImaging Center · USJohns Hopkins Medicine · US

Funding

Theranostic Imaging of Metastatic Prostate CancerP50CA103175 · NCI · JOHNS HOPKINS UNIVERSITY · PI BARKER, PETER B · 2003 to 2015
$17.9M
Multi-scale Molecular Imaging of the Degradome in Breast TumorsR01CA154725 · NCI · JOHNS HOPKINS UNIVERSITY · PI GLUNDE, KRISTINE · 2011 to 2015
$1.7M
NCI NIH HHS P50 CA103175NCI NIH HHS R01 CA154725
6 · The paper itself

Abstract

The most life-threatening aspect of breast cancer is the occurrence of metastatic disease. The tumor draining lymph nodes typically are the first sites of metastasis in breast cancer. Collagen I fibers and the extracellular matrix have been implicated in breast cancer to form avenues for metastasis. In this study, we have investigated extracellular matrix molecules such as collagen I fibers in the lymph nodes of mice bearing orthotopic human breast cancer xenografts. The lymph nodes in mice with metastatic MDA-MB-231 and SUM159 tumor xenografts and tumor xenografts grown from circulating tumor cell lines displayed an increased collagen I density compared to mice with no tumor and mice with non-metastatic T-47D and MCF-7 tumor xenografts. These results suggest that cancer cells that have metastasized to the lymph nodes can modify the extracellular matrix components of these lymph nodes. Clinically, collagen density in the lymph nodes may be a good marker for identifying lymph nodes that have been invaded by breast cancer cells.

Indexed as

AnimalsBreast NeoplasmsCell Line, TumorCluster AnalysisCollagenDisease Models, AnimalExtracellular Matrix ProteinsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHeterograftsHumansKeratinsLymphatic MetastasisLymph NodesCollagenExtracellular Matrix ProteinsKeratins

Identifiers

PMID25950608
PMCPMC4423440
OpenAlexW2264368908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.