Therapeutically targeting tumor microenvironment–mediated drug resistance in estrogen receptor–positive breast cancer

Kevin Shee(Dartmouth College), Wei Yang(Dartmouth College), John W. Hinds(Dartmouth College), Riley A. Hampsch(Dartmouth College), Frederick S. Varn(Dartmouth College), Nicole A. Traphagen(Dartmouth College), Kishan Patel(Dartmouth College), Chao Cheng(Dartmouth College), Nicole P. Jenkins(Dartmouth College), Arminja N. Kettenbach(Dartmouth College), Eugene Demidenko(Dartmouth College), Philip Owens(Vanderbilt University), Anthony C. Faber(Virginia Commonwealth University), Todd R. Golub(Broad Institute), Ravid Straussman(Weizmann Institute of Science), Todd W. Miller(Dartmouth College)
The Journal of Experimental Medicine
February 7, 2018
Cited by 76Open Access
Full Text

Abstract

Drug resistance to approved systemic therapies in estrogen receptor-positive (ER+) breast cancer remains common. We hypothesized that factors present in the human tumor microenvironment (TME) drive drug resistance. Screening of a library of recombinant secreted microenvironmental proteins revealed fibroblast growth factor 2 (FGF2) as a potent mediator of resistance to anti-estrogens, mTORC1 inhibition, and phosphatidylinositol 3-kinase inhibition in ER+ breast cancer. Phosphoproteomic analyses identified ERK1/2 as a major output of FGF2 signaling via FGF receptors (FGFRs), with consequent up-regulation of Cyclin D1 and down-regulation of Bim as mediators of drug resistance. FGF2-driven drug resistance in anti-estrogen-sensitive and -resistant models, including patient-derived xenografts, was reverted by neutralizing FGF2 or FGFRs. A transcriptomic signature of FGF2 signaling in primary tumors predicted shorter recurrence-free survival independently of age, grade, stage, and FGFR amplification status. These findings delineate FGF2 signaling as a ligand-based drug resistance mechanism and highlights an underdeveloped aspect of precision oncology: characterizing and treating patients according to their TME constitution.


Related Papers

No related papers found

Powered by citation graph analysis