@article{2327ce684e5847dfa7bd74a1f64925c5,
title = "IKZF1 Enhances Immune Infiltrate Recruitment in Solid Tumors and Susceptibility to Immunotherapy",
abstract = "Immunotherapies are some of the most promising emergent treatments for several cancers, yet there remains a majority of patients who do not benefit from them due to immune-resistant tumors. One avenue for enhancing treatment for these patients is by converting these tumors to an immunoreactive state, thereby restoring treatment efficacy. By leveraging regulatory networks we previously characterized in autoimmunity, here we show that overexpression of the master regulator IKZF1 leads to enhanced immune infiltrate recruitment and tumor sensitivity to PD1 and CTLA4 inhibitors in several tumors that normally lack IKZF1 expression. This work provides proof of concept that tumors can be rendered susceptible by hijacking immune cell recruitment signals through molecular master regulators. On a broader scale, this work also demonstrates the feasibility of using computational approaches to drive the discovery of novel molecular mechanisms toward treatment. Immunotherapies are promising cancer treatments but are frequently stymied by tumors that evade the immune system. Here, Chen et al. computationally identify the regulators required to hijack and reactivate immune infiltrate recruitment in tumors. They show that IKZF1 expression suppresses growth in several cancers due to enhanced immune infiltrate recruitment and significantly enhances the efficacy of α-PD1 and α-CTLA4 immunotherapies. IKZF1 genomic alterations also predict poor prognosis in patient cohorts. This work demonstrates the value of computational approaches in identifying new treatment avenues.",
keywords = "cancer genetics, immune checkpoint, immune evasion, immuno-oncology, inhibitors, precision medicine, regulatory networks, systems biology",
author = "Chen, {James C.} and Rolando Perez-Lorenzo and Saenger, {Yvonne M.} and Drake, {Charles G.} and Christiano, {Angela M.}",
note = "Funding Information: We thank Dr. Charles Karan and the High-Throughput Screening Facility at Columbia University Medical Center for the human cancer cell lines used in this project. We thank Drs. Andrea Califano, Wendy Chung, Ali Gharavi, Ronald Wapner, and Krzysztof Kiryluk for their insightful discussions related to the work. J.C.C. was supported by the Columbia University Herbert and Florence Irving Medical Center Dean{\textquoteright}s Precision Medicine Research Fellowship ( UL1TR001873 ). These studies utilized the resources of the EpiCURE Skin Disease Research Core Center (P30AR069632) as well as the Flow Cytometry Shared Resource and the Human Immune Monitoring Core of the Herbert Irving Comprehensive Cancer Center (P30CA013696). Funding Information: We thank Dr. Charles Karan and the High-Throughput Screening Facility at Columbia University Medical Center for the human cancer cell lines used in this project. We thank Drs. Andrea Califano, Wendy Chung, Ali Gharavi, Ronald Wapner, and Krzysztof Kiryluk for their insightful discussions related to the work. J.C.C. was supported by the Columbia University Herbert and Florence Irving Medical Center Dean's Precision Medicine Research Fellowship (UL1TR001873). These studies utilized the resources of the EpiCURE Skin Disease Research Core Center (P30AR069632) as well as the Flow Cytometry Shared Resource and the Human Immune Monitoring Core of the Herbert Irving Comprehensive Cancer Center (P30CA013696). Funding Information: Funding for A.M.C. and R.P.-L. was provided by NIH (R01 CA164309-01), and for J.C.C. the Columbia University Herbert and Florence Irving Medical Center Dean's Precision Medicine Research Fellowship (UL1TR001873). We also thank Dr. Charles Karan and the High-Throughput Screening Facility at Columbia University Medical Center for the human cancer cell lines used in this project. Publisher Copyright: {\textcopyright} 2018",
year = "2018",
month = jul,
day = "25",
doi = "10.1016/j.cels.2018.05.020",
language = "English (US)",
volume = "7",
pages = "92--103.e4",
journal = "Cell Systems",
issn = "2405-4712",
publisher = "Cell Press",
number = "1",
}