Literature DB >> 22777768

CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues.

Rosa Anna DeFilippis1, Hang Chang, Nancy Dumont, Joseph T Rabban, Yunn-Yi Chen, Gerald V Fontenay, Hal K Berman, Mona L Gauthier, Jianxin Zhao, Donglei Hu, James J Marx, Judy A Tjoe, Elad Ziv, Maria Febbraio, Karla Kerlikowske, Bahram Parvin, Thea D Tlsty.   

Abstract

UNLABELLED: Although high mammographic density is considered one of the strongest risk factors for invasive breast cancer, the genes involved in modulating this clinical feature are unknown. Tissues of high mammographic density share key histologic features with stromal components within malignant lesions of tumor tissues, specifically low adipocyte and high extracellular matrix (ECM) content. We show that CD36, a transmembrane receptor that coordinately modulates multiple protumorigenic phenotypes, including adipocyte differentiation, angiogenesis, cell-ECM interactions, and immune signaling, is greatly repressed in multiple cell types of disease-free stroma associated with high mammographic density and tumor stroma. Using both in vitro and in vivo assays, we show that CD36 repression is necessary and sufficient to recapitulate the above-mentioned phenotypes observed in high mammographic density and tumor tissues. Consistent with a functional role for this coordinated program in tumorigenesis, we observe that clinical outcomes are strongly associated with CD36 expression. SIGNIFICANCE: CD36 simultaneously controls adipocyte content and matrix accumulation and is coordinately repressed in multiple cell types within tumor and high mammographic density stroma, suggesting that activation of this stromal program is an early event in tumorigenesis. Levels of CD36 and extent of mammographic density are both modifiable factors that provide potential for intervention.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22777768      PMCID: PMC3457705          DOI: 10.1158/2159-8290.CD-12-0107

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  50 in total

1.  The association of measured breast tissue characteristics with mammographic density and other risk factors for breast cancer.

Authors:  Tong Li; Limei Sun; Naomi Miller; Trudey Nicklee; Jennifer Woo; Lee Hulse-Smith; Ming-Sound Tsao; Rama Khokha; Lisa Martin; Norman Boyd
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-02       Impact factor: 4.254

2.  Mammographic density and estrogen receptor status of breast cancer.

Authors:  Elad Ziv; Jeffrey Tice; Rebecca Smith-Bindman; John Shepherd; Steven Cummings; Karla Kerlikowske
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-12       Impact factor: 4.254

3.  Association between mammographic breast density and breast cancer tumor characteristics.

Authors:  Erin J Aiello; Diana S M Buist; Emily White; Peggy L Porter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-03       Impact factor: 4.254

4.  Aspirin increases CD36, SR-BI, and ABCA1 expression in human THP-1 macrophages.

Authors:  Marisa Viñals; Ignacio Bermúdez; Gemma Llaverias; Marta Alegret; Rosa Maria Sanchez; Manuel Vázquez-Carrera; Juan Carlos Laguna
Journal:  Cardiovasc Res       Date:  2005-01-28       Impact factor: 10.787

5.  A null mutation in murine CD36 reveals an important role in fatty acid and lipoprotein metabolism.

Authors:  M Febbraio; N A Abumrad; D P Hajjar; K Sharma; W Cheng; S F Pearce; R L Silverstein
Journal:  J Biol Chem       Date:  1999-07-02       Impact factor: 5.157

6.  Stromal fibroblasts present in invasive human breast carcinomas promote tumor growth and angiogenesis through elevated SDF-1/CXCL12 secretion.

Authors:  Akira Orimo; Piyush B Gupta; Dennis C Sgroi; Fernando Arenzana-Seisdedos; Thierry Delaunay; Rizwan Naeem; Vincent J Carey; Andrea L Richardson; Robert A Weinberg
Journal:  Cell       Date:  2005-05-06       Impact factor: 41.582

Review 7.  Fibroblasts in cancer.

Authors:  Raghu Kalluri; Michael Zeisberg
Journal:  Nat Rev Cancer       Date:  2006-05       Impact factor: 60.716

8.  CD36 antisense expression in 3T3-F442A preadipocytes.

Authors:  Z Sfeir; A Ibrahimi; E Amri; P Grimaldi; N Abumrad
Journal:  Mol Cell Biochem       Date:  1999-02       Impact factor: 3.396

9.  Identification of CD36 molecular features required for its in vitro angiostatic activity.

Authors:  Luca Primo; Chiara Ferrandi; Cristina Roca; Serena Marchiò; Laura di Blasio; Massimo Alessio; Federico Bussolino
Journal:  FASEB J       Date:  2005-07-21       Impact factor: 5.191

10.  Are breast density and bone mineral density independent risk factors for breast cancer?

Authors:  Karla Kerlikowske; John Shepherd; Jennifer Creasman; Jeffrey A Tice; Elad Ziv; Steve R Cummings
Journal:  J Natl Cancer Inst       Date:  2005-03-02       Impact factor: 13.506

View more
  89 in total

Review 1.  Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention.

Authors:  Lisa M Butler; Ylenia Perone; Jonas Dehairs; Leslie E Lupien; Vincent de Laat; Ali Talebi; Massimo Loda; William B Kinlaw; Johannes V Swinnen
Journal:  Adv Drug Deliv Rev       Date:  2020-07-23       Impact factor: 15.470

Review 2.  Lipid transport in the lactating mammary gland.

Authors:  James L McManaman
Journal:  J Mammary Gland Biol Neoplasia       Date:  2014-02-25       Impact factor: 2.673

3.  The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density.

Authors:  Kylie L Gorringe; Ian G Campbell; Dane Cheasley; Lisa Devereux; Siobhan Hughes; Carolyn Nickson; Pietro Procopio; Grant Lee; Na Li; Vicki Pridmore; Kenneth Elder; G Bruce Mann; Tanjina Kader; Simone M Rowley; Stephen B Fox; David Byrne; Hugo Saunders; Kenji M Fujihara; Belle Lim
Journal:  NPJ Breast Cancer       Date:  2020-08-07

4.  Genetic dissection of the Mom5 modifier locus and evaluation of Mom5 candidate genes.

Authors:  Karla L Otterpohl; Karen A Gould
Journal:  Mamm Genome       Date:  2015-05-15       Impact factor: 2.957

5.  Microenvironment: A dense danger.

Authors:  Darren J Burgess
Journal:  Nat Rev Cancer       Date:  2012-09-21       Impact factor: 60.716

6.  Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients.

Authors:  C C Hack; L Häberle; K Geisler; R Schulz-Wendtland; A Hartmann; P A Fasching; M Uder; D L Wachter; S M Jud; C R Loehberg; M P Lux; C Rauh; M W Beckmann; K Heusinger
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-02       Impact factor: 2.915

7.  Breast Cancer Risk - From Genetics to Molecular Understanding of Pathogenesis.

Authors:  P A Fasching; A B Ekici; D L Wachter; A Hein; C M Bayer; L Häberle; C R Loehberg; M Schneider; S M Jud; K Heusinger; M Rübner; C Rauh; M R Bani; M P Lux; R Schulz-Wendtland; A Hartmann; M W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-12       Impact factor: 2.915

8.  Cancer: Destiny from density.

Authors:  Victoria L Seewaldt
Journal:  Nature       Date:  2012-10-25       Impact factor: 49.962

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

Authors:  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; Federica Sotgia
Journal:  Cell Cycle       Date:  2013-12-05       Impact factor: 4.534

Review 10.  Retinoids and rexinoids in cancer prevention: from laboratory to clinic.

Authors:  Iván P Uray; Ethan Dmitrovsky; Powel H Brown
Journal:  Semin Oncol       Date:  2015-09-25       Impact factor: 4.929

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.