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Adrenergic-mediated increases in INHBA drive CAF phenotype and collagens.
Nagaraja, Archana S; Dood, Robert L; Armaiz-Pena, Guillermo; Kang, Yu; Wu, Sherry Y; Allen, Julie K; Jennings, Nicholas B; Mangala, Lingegowda S; Pradeep, Sunila; Lyons, Yasmin; Haemmerle, Monika; Gharpure, Kshipra M; Sadaoui, Nouara C; Rodriguez-Aguayo, Cristian; Ivan, Cristina; Wang, Ying; Baggerly, Keith; Ram, Prahlad; Lopez-Berestein, Gabriel; Liu, Jinsong; Mok, Samuel C; Cohen, Lorenzo; Lutgendorf, Susan K; Cole, Steve W; Sood, Anil K.
Afiliação
  • Nagaraja AS; Department of Gynecologic Oncology and Reproductive Medicine.
  • Dood RL; Department of Gynecologic Oncology and Reproductive Medicine.
  • Armaiz-Pena G; Department of Gynecologic Oncology and Reproductive Medicine.
  • Kang Y; Department of Gynecologic Oncology and Reproductive Medicine.
  • Wu SY; Department of Gynecologic Oncology and Reproductive Medicine.
  • Allen JK; Department of Gynecologic Oncology and Reproductive Medicine.
  • Jennings NB; Department of Gynecologic Oncology and Reproductive Medicine.
  • Mangala LS; Department of Gynecologic Oncology and Reproductive Medicine.
  • Pradeep S; Department of Gynecologic Oncology and Reproductive Medicine.
  • Lyons Y; Department of Gynecologic Oncology and Reproductive Medicine.
  • Haemmerle M; Department of Gynecologic Oncology and Reproductive Medicine.
  • Gharpure KM; Department of Gynecologic Oncology and Reproductive Medicine.
  • Sadaoui NC; Department of Gynecologic Oncology and Reproductive Medicine.
  • Rodriguez-Aguayo C; Center for RNAi and Non-Coding RNA.
  • Ivan C; Department of Experimental Therapeutics.
  • Wang Y; Center for RNAi and Non-Coding RNA.
  • Baggerly K; Department of Bioinformatics and Computational Biology.
  • Ram P; Department of Bioinformatics and Computational Biology.
  • Lopez-Berestein G; Department of Systems Biology.
  • Liu J; Center for RNAi and Non-Coding RNA.
  • Mok SC; Department of Experimental Therapeutics.
  • Cohen L; Department of Pathology, and.
  • Lutgendorf SK; Department of Gynecologic Oncology and Reproductive Medicine.
  • Cole SW; Department of Palliative, Rehabilitation, and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Sood AK; Departments of Psychological and Brain Sciences, Obstetrics and Gynecology, and Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa, USA.
JCI Insight ; 2(16)2017 Aug 17.
Article em En | MEDLINE | ID: mdl-28814667
ABSTRACT
Adrenergic signaling is known to promote tumor growth and metastasis, but the effects on tumor stroma are not well understood. An unbiased bioinformatics approach analyzing tumor samples from patients with known biobehavioral profiles identified a prominent stromal signature associated with cancer-associated fibroblasts (CAFs) in those with a high biobehavioral risk profile (high Center for Epidemiologic Studies Depression Scale [CES-D] score and low social support). In several models of epithelial ovarian cancer, daily restraint stress resulted in significantly increased CAF activation and was abrogated by a nonspecific ß-blocker. Adrenergic signaling-induced CAFs had significantly higher levels of collagen and extracellular matrix components than control tumors. Using a systems-based approach, we found INHBA production by cancer cells to induce CAFs. Ablating inhibin ß A decreased CAF phenotype both in vitro and in vivo. In preclinical models of breast and colon cancers, there were increased CAFs and collagens following daily restraint stress. In an independent data set of renal cell carcinoma patients, there was an association between high depression (CES-D) scores and elevated expression of ACTA2, collagens, and inhibin ß A. Collectively, our findings implicate adrenergic influences on tumor stroma as important drivers of CAFs and establish inhibin ß A as an important regulator of the CAF phenotype in ovarian cancer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JCI Insight Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JCI Insight Ano de publicação: 2017 Tipo de documento: Article