Main content

Contributors:
  1. Julián Candia
  2. Tiffany H. Dorsey
  3. Wei Tang
  4. Yuuki Ohara
  5. Jung S. Byun
  6. Tsion Zewdu Minas
  7. Amy Zhang
  8. Anuoluwapo Ajao
  9. Ashley Cellini
  10. Harris G. Yfantis
  11. Amy L. Flis
  12. Dean Mann
  13. Olga Ioffe
  14. Xin W. Wang
  15. Christopher A. Loffredo
  16. Anna Maria Napoles
  17. Stefan Ambs

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Diabetes commonly affects cancer patients. As a comorbidity, it may modify tumor biology and therapy response. Yet, we still lack an understanding of the diabetes-induced molecular changes in human breast tumors and their implication for therapy. The goal of this study was aimed to identify diabetes induced phenotypes and molecular signatures in breast cancer. Here, we investigated the effect of diabetes on breast cancer biology using a three-pronged approach that included analysis of orthotopic human tumor xenografts, patient tumors, and breast cancer cells exposed to diabetes and hyperglycemia. Diabetes and hyperglycemia induced a mesenchymal and stem cell-like phenotypes. Further Diabetes and hyperglycemia also associated with oxidative stress and both gene expression and mutational signatures of DNA repair deficiency. Breast cancer cells cultured under hyperglycemia acquired increased DNA damage and sensitivity to DNA damage response inhibitors. Based on these observations, diabetes-associated breast tumors may show an increased drug response to DNA repair pathway inhibitors that are cancer therapeutics.

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.