Evidence map›Paper›PMID 25172842›Full record

ArticleCancer research2014

Stress signaling from human mammary epithelial cells contributes to phenotypes of mammographic density.

Rosa Anna DeFilippis, Colleen Fordyce, Kelley Patten, Hang Chang, Jianxin Zhao, Gerald V Fontenay, Karla Kerlikowske, Bahram Parvin, Thea D Tlsty

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Sulindac, a Nonselective NSAID, Reduces Breast Density in Postmenopausal Women with Breast Cancer Treated with Aromatase Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Trial
  2. Article
  3. Modulation of the Mechanosensory Matrisome by Serotonergic Signaling.Results and problems in cell differentiation · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. CD36 and Its Role in Regulating the Tumor Microenvironment.Current oncology (Toronto, Ont.) · 2022
    Review
  9. Article
  10. Review
  11. Metabolic Relationship Between Cancer-Associated Fibroblasts and Cancer Cells.Advances in experimental medicine and biology · 2021
    Article
  12. Article
  13. CD36 and CD97 in Pancreatic Cancer versus Other Malignancies.International journal of molecular sciences · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Rosa Anna DeFilippis *Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Colleen Fordyce *Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Kelley PattenDepartment of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Hang ChangLawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Jianxin ZhaoDepartment of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Gerald V FontenayLawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Karla KerlikowskeDepartment of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.
Bahram ParvinLawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Thea D TlstyDepartment of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Lawrence Berkeley National Laboratory · USUniversity of Nevada, Reno · US

Funding

TRANS_NETWORK PROJECTSU54CA143803 · NCI · PRINCETON UNIVERSITY · PI TLSTY, THEA D · 2009 to 2013
$14.2M
Tissue CoreP01CA107584 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHEPHERD, JOHN ALAN · 2006 to 2010
$6.9M
Regulation of Genomic Instability in Early Breast CancerR01CA097214 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TLSTY, THEA D · 2003 to 2014
$3.0M
NCI NIH HHS NIH/NCI RO1 CA097214NCI NIH HHS P01 CA107584NCI NIH HHS R01 CA097214NCI NIH HHS U54 CA143803
6 · The paper itself

Abstract

Telomere malfunction and other types of DNA damage induce an activin A-dependent stress response in mortal nontumorigenic human mammary epithelial cells that subsequently induces desmoplastic-like phenotypes in neighboring fibroblasts. Some characteristics of this fibroblast/stromal response, such as reduced adipocytes and increased extracellular matrix content, are observed not only in tumor tissues but also in disease-free breast tissues at high risk for developing cancer, especially high mammographic density tissues. We found that these phenotypes are induced by repression of the fatty acid translocase CD36, which is seen in desmoplastic and disease-free high mammographic density tissues. In this study, we show that epithelial cells from high mammographic density tissues have more DNA damage signaling, shorter telomeres, increased activin A secretion and an altered DNA damage response compared with epithelial cells from low mammographic density tissues. Strikingly, both telomere malfunction and activin A expression in epithelial cells can repress CD36 expression in adjacent fibroblasts. These results provide new insights into how high mammographic density arises and why it is associated with breast cancer risk, with implications for the definition of novel invention targets (e.g., activin A and CD36) to prevent breast cancer.

Indexed as

Breast DensityBreast NeoplasmsCD36 AntigensDNA DamageEpithelial CellsFemaleHumansMammary Glands, HumanPhenotypeSignal TransductionCD36 Antigens

Identifiers

PMID25172842
PMCPMC4335659
OpenAlexW2103861086

What OpenQuestion holds

Textmetadata
LicenceTDM
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.