# Identifying determinants of ADAR-dependency in triple-negative breast cancer > **NIH NIH K99** · WASHINGTON UNIVERSITY · 2022 · $100,000 ## Abstract PROJECT SUMMARY Triple-negative breast cancer (TNBC), the deadliest form of breast cancer, affects Black/African American women at twice the rate of white women. Additionally, the survival rate for TNBC is lower in Black/African women. To address the disparities associated with TNBC we need broadly applicable targeted therapies. Without targeted therapies, clinicians are left with chemotherapy, which has many negative side- effects and in many cases is ultimately ineffective in the treatment of TNBC. We have observed that a subset of TNBC cell lines are dependent on the expression of Adenosine Deaminase Acting on RNA (ADAR). ADAR is an enzyme that converts adenosine nucleotides in RNA to inosine in a process known as A-to-I editing. Loss of ADAR inhibits cellular proliferation and tumor formation for a subset of TNBC cell lines. Because ADAR is required for the growth of some TNBC cell lines it serves as a valuable therapeutic target for the treatment of TNBC. It has been observed that ADAR-dependent cell lines have elevated interferon signaling, potentially making it possible to classify ADAR-dependent tumors. Interferon signaling is higher in Black/African American breast tumors than tumors in white patients, which may make therapies targeting ADAR more effective for Black/African American patients. There are aspects of ADAR-dependence that we do not understand. For instance, we do not understand why some cells are dependent on ADAR expression while others are not. Here we will explore the mechanism of ADAR-dependency and develop a strategy for treatment of TNBC based on ADAR inhibition. In AIM 1 we will identify the factors that are required for ADAR-dependence, including identification of the immunogenic RNAs that contribute to the phenotype caused by ADAR depletion. In AIM 2 we will develop and assess a classification model to predict which tumors will be sensitive to ADAR inhibition. The accuracy of the classification model will be evaluated by knockdown of ADAR in patient derived xenograft models of TNBC. Importantly this AIM will provide the PI with training in mouse models of breast cancer, including tumor implantation and monitoring. Finally, in AIM 3, we will develop a high-throughput A-to-I editing assay and use it to identify a small molecule inhibitor of ADAR. In addition to the potential identification of a small molecule inhibitor of ADAR, this AIM will provide the PI with experience developing a high-throughput screen and the use of DNA-encoded chemical libraries. This work will advance our understanding of ADAR- dependency such that we can accurately classify ADAR-dependent TNBC, thus opening the door to treating this deadly form of breast cancer with the small molecules identified in AIM 3. Developing an effective targeted therapy for TNBC is essential to reducing the disparate effects of this disease on Black/African American women. Finally, the research and career development training included in this grant will facilitate t... ## Key facts - **NIH application ID:** 10351954 - **Project number:** 1K99MD016946-01 - **Recipient organization:** WASHINGTON UNIVERSITY - **Principal Investigator:** Kyle Cottrell - **Activity code:** K99 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2022 - **Award amount:** $100,000 - **Award type:** 1 - **Project period:** 2021-12-01 → 2023-11-30 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10351954 ## Citation > US National Institutes of Health, RePORTER application 10351954, Identifying determinants of ADAR-dependency in triple-negative breast cancer (1K99MD016946-01). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10351954. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*