Literature DB >> 24434780

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

Michael P Lisanti1, Aristotelis Tsirigos2, Stephanos Pavlides3, Kimberley Jayne Reeves1, Maria Peiris-Pagès1, Amy L Chadwick1, Rosa Sanchez-Alvarez1, Rebecca Lamb4, Anthony Howell5, Ubaldo E Martinez-Outschoorn6, Federica Sotgia1.   

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.

Entities:  

Keywords:  EGF; FGF; JNK; PDGF; SAPK; TGF-beta; breast cancer; cancer associated fibroblasts; fibrosis; gene signature; inflammation; mammographic density; mammography; microenvironment; stress signaling; tumor stroma; wound healing

Mesh:

Substances:

Year:  2013        PMID: 24434780      PMCID: PMC3988118          DOI: 10.4161/cc.27379

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  66 in total

1.  Growth factors and stromal matrix proteins associated with mammographic densities.

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2.  Fluid shear stress-induced JNK activity leads to actin remodeling for cell alignment.

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3.  Transforming growth Factor-beta1 induces phenotypic modulation of human lung fibroblasts to myofibroblast through a c-Jun-NH2-terminal kinase-dependent pathway.

Authors:  S Hashimoto; Y Gon; I Takeshita; K Matsumoto; S Maruoka; T Horie
Journal:  Am J Respir Crit Care Med       Date:  2001-01       Impact factor: 21.405

4.  Accelerated aging in the tumor microenvironment: connecting aging, inflammation and cancer metabolism with personalized medicine.

Authors:  Michael P Lisanti; Ubaldo E Martinez-Outschoorn; Stephanos Pavlides; Diana Whitaker-Menezes; Richard G Pestell; Anthony Howell; Federica Sotgia
Journal:  Cell Cycle       Date:  2011-07-01       Impact factor: 4.534

5.  Evidence for a stromal-epithelial "lactate shuttle" in human tumors: MCT4 is a marker of oxidative stress in cancer-associated fibroblasts.

Authors:  Diana Whitaker-Menezes; Ubaldo E Martinez-Outschoorn; Zhao Lin; Adam Ertel; Neal Flomenberg; Agnieszka K Witkiewicz; Ruth C Birbe; Anthony Howell; Stephanos Pavlides; Ricardo Gandara; Richard G Pestell; Federica Sotgia; Nancy J Philp; Michael P Lisanti
Journal:  Cell Cycle       Date:  2011-06-01       Impact factor: 4.534

6.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

7.  Cancer cells metabolically "fertilize" the tumor microenvironment with hydrogen peroxide, driving the Warburg effect: implications for PET imaging of human tumors.

Authors:  Ubaldo E Martinez-Outschoorn; Zhao Lin; Casey Trimmer; Neal Flomenberg; Chenguang Wang; Stephanos Pavlides; Richard G Pestell; Anthony Howell; Federica Sotgia; Michael P Lisanti
Journal:  Cell Cycle       Date:  2011-08-01       Impact factor: 4.534

Review 8.  Oncogenes induce the cancer-associated fibroblast phenotype: metabolic symbiosis and "fibroblast addiction" are new therapeutic targets for drug discovery.

Authors:  Michael P Lisanti; Ubaldo E Martinez-Outschoorn; Federica Sotgia
Journal:  Cell Cycle       Date:  2013-07-30       Impact factor: 4.534

9.  Stromal gene expression predicts clinical outcome in breast cancer.

Authors:  Greg Finak; Nicholas Bertos; Francois Pepin; Svetlana Sadekova; Margarita Souleimanova; Hong Zhao; Haiying Chen; Gulbeyaz Omeroglu; Sarkis Meterissian; Atilla Omeroglu; Michael Hallett; Morag Park
Journal:  Nat Med       Date:  2008-04-27       Impact factor: 53.440

10.  Tamoxifen induces pleiotrophic changes in mammary stroma resulting in extracellular matrix that suppresses transformed phenotypes.

Authors:  Rhonda Hattar; Ori Maller; Shauntae McDaniel; Kirk C Hansen; Karla J Hedman; Traci R Lyons; Scott Lucia; R Storey Wilson; Pepper Schedin
Journal:  Breast Cancer Res       Date:  2009-01-27       Impact factor: 6.466

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  20 in total

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Review 2.  Proteoglycans: Potential Agents in Mammographic Density and the Associated Breast Cancer Risk.

Authors:  Michael S Shawky; Carmela Ricciardelli; Megan Lord; John Whitelock; Vito Ferro; Kara Britt; Erik W Thompson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2015-12       Impact factor: 2.673

Review 3.  Key steps for effective breast cancer prevention.

Authors:  Kara L Britt; Jack Cuzick; Kelly-Anne Phillips
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Review 4.  Risk determination and prevention of breast cancer.

Authors:  Anthony Howell; Annie S Anderson; Robert B Clarke; Stephen W Duffy; D Gareth Evans; Montserat Garcia-Closas; Andy J Gescher; Timothy J Key; John M Saxton; Michelle N Harvie
Journal:  Breast Cancer Res       Date:  2014-09-28       Impact factor: 6.466

Review 5.  Stromal characteristics may hold the key to mammographic density: the evidence to date.

Authors:  Alastair J Ironside; J Louise Jones
Journal:  Oncotarget       Date:  2016-05-24

Review 6.  The dynamics of Rho GTPase signaling and implications for targeting cancer and the tumor microenvironment.

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Journal:  Small GTPases       Date:  2015-06-23

7.  The origins of breast cancer associated with mammographic density: a testable biological hypothesis.

Authors:  Norman Boyd; Hal Berman; Jie Zhu; Lisa J Martin; Martin J Yaffe; Sofia Chavez; Greg Stanisz; Greg Hislop; Anna M Chiarelli; Salomon Minkin; Andrew D Paterson
Journal:  Breast Cancer Res       Date:  2018-03-07       Impact factor: 6.466

Review 8.  JNK in Tumor Microenvironment: Present Findings and Challenges in Clinical Translation.

Authors:  Shing Yau Tam; Helen Ka-Wai Law
Journal:  Cancers (Basel)       Date:  2021-05-03       Impact factor: 6.639

Review 9.  The dual role of iNOS in cancer.

Authors:  Federica Vannini; Khosrow Kashfi; Niharika Nath
Journal:  Redox Biol       Date:  2015-08-24       Impact factor: 11.799

Review 10.  Rho-associated kinase signalling and the cancer microenvironment: novel biological implications and therapeutic opportunities.

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Journal:  Expert Rev Mol Med       Date:  2015-10-28       Impact factor: 5.600

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