Evidence map›Paper›PMID 24434780›Full record

ArticleCell cycle (Georgetown, Tex.)2014

JNK1 stress signaling is hyper-activated in high breast density and the tumor stroma: connecting fibrosis, inflammation, and stemness for cancer prevention.

Michael P Lisanti, Aristotelis Tsirigos, Stephanos Pavlides, Kimberley Jayne Reeves, Maria Peiris-Pagès, Amy L Chadwick, Rosa Sanchez-Alvarez, Rebecca Lamb, Anthony Howell, Ubaldo E Martinez-Outschoorn and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

31 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  8. Mechanotransduction at the Plasma Membrane-Cytoskeleton Interface.International journal of molecular sciences · 2021
    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

11 authors at 5 institutions in 3 countries.

Michael P LisantiBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK; Manchester Centre for Cellular Metabolism (MCCM); University of Manchester; Manchester, UK.
Aristotelis TsirigosComputational Biology Center; IBM T.J. Watson Research Center; Yorktown Heights, NY USA.
Stephanos PavlidesPostgraduate Research Institute of Science, Technology, Environment and Medicine (PRI); Limassol, Cyprus.
Kimberley Jayne ReevesBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK; Manchester Centre for Cellular Metabolism (MCCM); University of Manchester; Manchester, UK.
Maria Peiris-PagèsBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK; Manchester Centre for Cellular Metabolism (MCCM); University of Manchester; Manchester, UK.
Amy L ChadwickBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK; Manchester Centre for Cellular Metabolism (MCCM); University of Manchester; Manchester, UK.
Rosa Sanchez-AlvarezBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK; Manchester Centre for Cellular Metabolism (MCCM); University of Manchester; Manchester, UK.
Rebecca LambBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK; Manchester Centre for Cellular Metabolism (MCCM); Institute of Human Development; University of Manchester; Manchester, UK.
Anthony HowellBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK.
Ubaldo E Martinez-OutschoornKimmel Cancer Center; Thomas Jefferson University; Philadelphia, PA USA.
Federica SotgiaBreakthrough Breast Cancer Research Unit and the Manchester Breast Centre; Institute of Cancer Sciences; University of Manchester; Manchester, UK; Manchester Centre for Cellular Metabolism (MCCM); University of Manchester; Manchester, UK.
Cancer Research UK Manchester Institute · GBBreast Cancer Research Foundation · USCyprus University of Technology · CYIBM (United States) · USThomas Jefferson University · US

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
Alcohol Tissue InjuryT32AA007463 · NIAAA · THOMAS JEFFERSON UNIVERSITY · PI HOEK, JOANNES B, VADIGEPALLI, RAJANIKANTH · 1985 to 2021
$9.1M
Metabolic mechanisms of antiestrogen resistance in breast cancerK08CA175193 · NCI · THOMAS JEFFERSON UNIVERSITY · PI MARTINEZ OUTSCHOORN, UBALDO · 2013 to 2017
$831k
NCI NIH HHS K08 CA175193NCI NIH HHS P30 CA056036NIAAA NIH HHS T32 AA007463
6 · The paper itself

Abstract

Mammography is an important screening modality for the early detection of DCIS and breast cancer lesions. More specifically, high mammographic density is associated with an increased risk of breast cancer. However, the biological processes underlying this phenomenon remain largely unknown. Here, we re-interrogated genome-wide transcriptional profiling data obtained from low-density (LD) mammary fibroblasts (n = 6 patients) and high-density (HD) mammary fibroblasts (n = 7 patients) derived from a series of 13 female patients. We used these raw data to generate a "breast density" gene signature consisting of>1250 transcripts that were significantly increased in HD fibroblasts, relative to LD fibroblasts. We then focused on the genes that were increased by ≥ 1.5-fold (P<0.05) and performed gene set enrichment analysis (GSEA), using the molecular signatures database (MSigDB). Our results indicate that HD fibroblasts show the upregulation and/or hyper-activation of several key cellular processes, including the stress response, inflammation, stemness, and signal transduction. The transcriptional profiles of HD fibroblasts also showed striking similarities to human tumors, including head and neck, liver, thyroid, lung, and breast cancers. This may reflect functional similarities between cancer-associated fibroblasts (CAFs) and HD fibroblasts. This is consistent with the idea that the presence of HD fibroblasts may be a hallmark of a pre-cancerous phenotype. In these biological processes, GSEA predicts that several key signaling pathways may be involved, including JNK1, iNOS, Rho GTPase(s), FGF-R, EGF-R, and PDGF-R-mediated signal transduction, thereby creating a pro-inflammatory, pro-proliferative, cytokine, and chemokine-rich microenvironment. HD fibroblasts also showed significant overlap with gene profiles derived from smooth muscle cells under stress (JNK1) and activated/infected macrophages (iNOS). Thus, HD fibroblasts may behave like activated myofibroblasts and macrophages, to create and maintain a fibrotic and inflammatory microenvironment. Finally, comparisons between the HD fibroblast gene signature and breast cancer tumor stroma revealed that JNK1 stress signaling is the single most significant biological process that is shared between these 2 data sets (with P values between 5.40E-09 and 1.02E-14), and is specifically associated with tumor recurrence. These results implicate "stromal JNK1 signaling" in the pathogenesis of human breast cancers and the transition to malignancy. Augmented TGF-β signaling also emerged as a common feature linking high breast density with tumor stroma and breast cancer recurrence (P = 5.23E-05). Similarities between the HD fibroblast gene signature, wound healing, and the cancer-associated fibroblast phenotype were also noted. Thus, this unbiased informatics analysis of high breast density provides a novel framework for additional experimental exploration and new hypothesis-driven breast cancer research, with a focus on cancer prevention and personalized medicine.

Indexed as

Breast DensityBreast NeoplasmsFemaleFibroblastsFibrosisHumansInflammationMammary Glands, HumanMitogen-Activated Protein Kinase 8Neoplastic Stem CellsSignal TransductionTranscriptomeTumor MicroenvironmentMitogen-Activated Protein Kinase 8breast cancercancer associated fibroblastsEGFFGFfibrosisgene signatureinflammationJNKmammographic densitymammographymicroenvironmentPDGFSAPKstress signalingTGF-betatumor stromawound healing

Identifiers

PMID24434780
PMCPMC3988118
OpenAlexW2025505111

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.