Despite many efforts, no effective therapy exists to overcome breast cancer endocrine resistance. The major drawback is that most of the known oncogenes cannot be matched with potent and safe drugs; for the few with inhibitors, clinical responses are limited and transient due to rapid development of escape pathways not yet understood. It is thus critical to uncover both the missing targets in the unknown survival pathways and the drugs that can tackle this disease. In this study, we apply a unique integrative analysis that identifies key drug targets from the complex cancer signaling network by combining genomic/pharmacological information with cancer-gene concept signature (ConSig). This analysis has revealed a new target, Nemo-like kinase (NLK), which is amplified and/or overexpressed in ~30% of breast cancers. We have shown that NLK drives more aggressive phenotypes, endows endocrine-resistant growth, and predicts worse outcome in tamoxifen- treated patients. Further investigation suggests that NLK modulates multiple key molecules in the estrogen receptor (ER) pathway or involved in endocrine resistance, such as STAT3, FOXOs, AKT, ERK, and p27. More important, a potent NLK inhibitor has been identified which effectively sensitizes breast cancer cells to tamoxifen. NLK can be activated by multiple growth factors distinct from the well-known breast cancer pathways. We thus hypothesize that this protein may be a hub molecule that drives previously uncharacterized survival signaling in a considerable subset of intractable breast tumors. As the safety of the NLK inhibitor has already been established in other clinical trials, it holds an immediate and high potential to transform th care of breast cancer patients. The following studies are proposed to test the hypothesis:
Aim 1 will investigate how NLK crosstalks with the ER pathway to restore ER activity, and how NLK engages ER-independent signaling to provide alternative survival and invasive stimuli in the context of endocrine therapy.
Aim 2 will establish NLK function in tumor formation and hormone resistance using transplanted NLK inducible genetic perturbation models. The therapeutic value of the NLK inhibitor in sensitizing endocrine therapy will be assessed on mice bearing NLK-high ER+ xenograft breast tumors.
Aim 3 will investigate the correlation of NLK protein with the response or relapse of breast cancer patients treated with tamoxifen or aromatase inhibitors. This study will also establish an NLK immunohistochemistry (IHC) assay to select patients for NLK-targeted therapy. We expect that these studies will confirm the role of NLK in breast cancer endocrine resistance, elucidate the NLK-driven mechanisms to promote cancer cell survival, validate the NLK inhibitor as a sensitizing agent to endocrine therapy, and establish the NLK IHC as a predictive assay for precision medicine. This individualized targeted-therapy would benefit a considerable population of breast cancer patients that have developed or are likely to develop endocrine resistance.

Public Health Relevance

A vast majority of breast tumors are driven by estrogen, but about half of these will relapse despite endocrine therapy, so that new drugs that can overcome this endocrine resistance are desperately needed. Applying our innovative bioinformatics approach linking several kinds of genomic, molecular, and pharmacologic datasets, we have identified a key drug target called NLK that appears able to drive breast cancer cell growth in spite of endocrine therapy, along with a drug already approved as safe for other purposes that is able to block NLK and restore endocrine response of resistant cells. Here, we will explore the pathways that NLK uses and determine the optimal use of the anti-NLK drug in vivo to restore endocrine sensitivity in breast tumors, which may pave the way to a new precision medicine that could benefit a substantial population of intractable breast cancer patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA181368-02
Application #
8910670
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Sathyamoorthy, Neeraja
Project Start
2014-09-01
Project End
2016-01-31
Budget Start
2015-09-01
Budget End
2016-01-31
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Baylor College of Medicine
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
051113330
City
Houston
State
TX
Country
United States
Zip Code
77030
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