Evidence map›Paper›PMID 22906178›Full record

ArticleBreast cancer research : BCR2012

Gene-expression profiling of microdissected breast cancer microvasculature identifies distinct tumor vascular subtypes.

François Pepin, Nicholas Bertos, Julie Laferrière, Svetlana Sadekova, Margarita Souleimanova, Hong Zhao, Greg Finak, Sarkis Meterissian, Michael T Hallett, Morag Park

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  14. Anti-angiogenic alternatives to VEGF blockade.Clinical & experimental metastasis · 2016
    Review
  15. Anti-vascular endothelial growth factor therapy in breast cancer.International journal of molecular sciences · 2014
    Review
  16. Cellular heterogeneity profiling by hyaluronan probes reveals an invasive but slow-growing breast tumor subset.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  17. Article
  18. Article
  19. Biomarkers for anti-angiogenic therapy in cancer.International journal of molecular sciences · 2013
    Review
  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

10 authors at 5 institutions in 3 countries.

François Pepin
Nicholas Bertos
Julie Laferrière
Svetlana Sadekova
Margarita Souleimanova
Hong Zhao
Greg Finak
Sarkis Meterissian
Michael T Hallett
Morag Park
McGill University Health Centre · CAMcGill University · CAFred Hutch Cancer Center · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USUniversity of California, San Francisco · US

Funding

Suppression of Mammary Tumorigenesis by Stromal p53P01CA097189 · NCI · OHIO STATE UNIVERSITY · PI FERNANDEZ, SOLEDAD A · 2004 to 2016
$16.1M
NCI NIH HHS P01 CA097189
6 · The paper itself

Abstract

introductionAngiogenesis represents a potential therapeutic target in breast cancer. However, responses to targeted antiangiogenic therapies have been reported to vary among patients. This suggests that the tumor vasculature may be heterogeneous and that an appropriate choice of treatment would require an understanding of these differences.

methodsTo investigate whether and how the breast tumor vasculature varies between individuals, we isolated tumor-associated and matched normal vasculature from 17 breast carcinomas by laser-capture microdissection, and generated gene-expression profiles. Because microvessel density has previously been associated with disease course, tumors with low (n = 9) or high (n = 8) microvessel density were selected for analysis to maximize heterogeneity for this feature.

resultsWe identified differences between tumor and normal vasculature, and we describe two subtypes present within tumor vasculature. These subtypes exhibit distinct gene-expression signatures that reflect features including hallmarks of vessel maturity. Potential therapeutic targets (MET, ITGAV, and PDGFRβ) are differentially expressed between subtypes. Taking these subtypes into account has allowed us to derive a vascular signature associated with disease outcome.

conclusionsOur results further support a role for tumor microvasculature in determining disease progression. Overall, this study provides a deeper molecular understanding of the heterogeneity existing within the breast tumor vasculature and opens new avenues toward the improved design and targeting of antiangiogenic therapies.

Indexed as

Gene Expression ProfilingBreast NeoplasmsCluster AnalysisFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunohistochemistryNeovascularization, PathologicPatient Outcome AssessmentPrognosis

Identifiers

PMID22906178
PMCPMC3680943
OpenAlexW2160237679

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.