Evidence map›Paper›PMID 17447144›Full record

ReviewReviews in endocrine & metabolic disorders2007

Stromal induction of breast cancer: inflammation and invasion.

Evette S Radisky, Derek C Radisky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

67 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Colorectal cancer, radiotherapy and gut microbiota.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019
    Article
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  19. Progress towards understanding heterotypic interactions in multi-culture models of breast cancer.Integrative biology : quantitative biosciences from nano to macro · 2016
    Review
  20. Article

7 more citing papers are in PubMed but not listed here.

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

2 authors.

Evette S RadiskyMayo Clinic Cancer Center, Jacksonville, FL 32224, USA.
Derek C Radisky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many investigations of cancer development have pursued the mechanisms by which genetic mutations stimulate tumor development through activation of oncogenes or loss of tumor suppressor genes. However, there is an increasing awareness that signals provided by the stroma can induce the genetic alterations that underlie tumor formation, can stimulate tumor growth and progression, and can dictate both therapeutic response and ultimate clinical outcome. This principle is particularly clear in breast cancer, where recent investigations using sophisticated three-dimensional cell culture models and transgenic animals have been used to define how altered signals from the microenvironment contribute to breakdown of tissue structure, increased cellular proliferation, and transition to the malignant phenotype. We review here recent studies identifying new roles for cancer-associated fibroblasts in promoting tumor progression, through stimulation of inflammatory pathways and induction of extracellular matrix-remodelling proteases. These studies identify mechanisms by which development of a reactive tumor stroma causes mammary hyperproliferation, progression to fibrosis, development of neoplasia, increasing invasiveness, and eventual metastasis, and how intervention in these processes may provide new avenues for therapy.

Indexed as

BreastBreast NeoplasmsDisease ProgressionExtracellular MatrixFemaleFibroblastsHumansStromal Cells

Identifiers

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.