The lack of specific targets for the treatment of triple-negative breast cancer (TNBC) is a major challenge, as many TNBCs do not respond to cytotoxic chemotherapies. Immune checkpoint blockade (ICB) has yielded promising results in both advanced and early-stage TNBC and is expected to substantially improve the overall prognosis of patients with this disease. However, since TNBC is not inherently immunogenic, it is important to identify patients who would benefit most from immunotherapy and to identify agents that can prime the tumor microenvironment to enhance the therapeutic effects. TNBC is known to exhibit high levels of replication stress, which occurs when the DNA replication machinery encounters obstacles that impede the replication process. In normal cells, replication stress activates the replication stress response (RSR) to maintain genome integrity. Defective RSR allows cells with high replication stress to survive and proliferate. Recently, we have identified a gene signature that represents defects in RSR (RSRD). We found this RSRD signature to be highly enriched in TNBC cells. Furthermore, RSRD-high TNBC cells accumulate cytoplasmic DNA and induce STING-dependent cytokine production, which is required for the effectiveness of ICB. Intriguingly, the RSRD signature score correlates perfectly with the response of TNBC to ICB in syngeneic mouse models, and it accurately predicts ICB response across 5 low?mutation-burden tumor lineages. All these intriguing findings support the hypotheses that RSRD may act as a key determinant of ICB outcomes in low?mutation-burden cancers, including TNBC, and that RSRD-enhancing drugs may sensitize ICB-resistant TNBC to immunotherapy. These hypotheses will be tested via 3 specific aims. (1) To determine how the immune microenvironment is modified in RSR-defective TNBC. We will use a highly multiplexed imaging mass cytometry panel to determine how RSRD remodels the immune microenvironment of TNBC and induces susceptibility to ICB. In addition, we will manipulate the RSR status in TNBC cells to assess the relationship between RSR defects and immunotherapy response. (2) To identify causative drivers of RSRD-high?mediated ICB responsiveness in TNBC. Our preliminary studies suggest that RSR defects may drive immunotherapy response through accumulation of immunostimulatory cytosolic single-stranded DNA (ssDNA). We will, therefore, seek to manipulate the cytosolic ssDNA level in TNBC models to determine whether cytosolic ssDNA is indeed a causative driver of ICB responsiveness in TNBC. In addition, to understand why our RSRD gene signature predicts response to ICB in TNBC, we will apply an in vivo CRISPR screen to determine what transcriptional changes contained within our RSRD gene signature cause this response. (3) To develop novel combination therapy to convert RSRD-low TNBC to RSRD-high to improve their response to ICB. Using cutting-edge systems and bioinformatics approaches, we have identified many potential RSRD-inducing agents. We will assess the 6 most promising candidates and identify the best candidate compound that can effectively sensitize RSRD-low TNBC to ICB.

Public Health Relevance

Immune checkpoint blockade (ICB) has yielded promising results in patients with triple-negative breast cancer (TNBC), but only a subset of patients respond and no predictive biomarker has yet been identified. A replication stress response defect (RSRD) signature has been identified as a potential biomarker that predicts ICB responsiveness in TNBC; the proposed work seeks to understand mechanistically how this biomarker predicts response. The results of the proposed research will help to identify TNBC patients likely to be helped by ICB treatment and to provide effective combination therapies to expand the treatable population.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA247862-01A1
Application #
10117861
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Venkatachalam, Sundaresan
Project Start
2021-02-01
Project End
2026-01-31
Budget Start
2021-02-01
Budget End
2022-01-31
Support Year
1
Fiscal Year
2021
Total Cost
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Biomedical Engineering
Type
Hospitals
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030