scholarly journals A gene expression signature associated with B cells predicts benefit from immune checkpoint blockade in lung adenocarcinoma

2021 ◽  
Vol 10 (1) ◽  
pp. 1860586 ◽  
Author(s):  
Jan Budczies ◽  
Martina Kirchner ◽  
Klaus Kluck ◽  
Daniel Kazdal ◽  
Julia Glade ◽  
...  
2019 ◽  
Vol 11 (501) ◽  
pp. eaav7816 ◽  
Author(s):  
Rachael M. Zemek ◽  
Emma De Jong ◽  
Wee Loong Chin ◽  
Iona S. Schuster ◽  
Vanessa S. Fear ◽  
...  

Cancer immunotherapy using antibodies that target immune checkpoints has delivered outstanding results. However, responses only occur in a subset of patients, and it is not fully understood what biological processes determine an effective outcome. This lack of understanding hinders the development of rational combination treatments. We set out to define the pretreatment microenvironment associated with an effective outcome by using the fact that inbred mouse strains bearing monoclonal cancer cell line–derived tumors respond in a dichotomous manner to immune checkpoint blockade (ICB). We compared the cellular composition and gene expression profiles of responsive and nonresponsive tumors from mice before ICB and validated the findings in cohorts of patients with cancer treated with ICB antibodies. We found that responsive tumors were characterized by an inflammatory gene expression signature consistent with up-regulation of signal transducer and activator of transcription 1 (STAT1) and Toll-like receptor 3 (TLR3) signaling and down-regulation of interleukin-10 (IL-10) signaling. In addition, responsive tumors had more infiltrating-activated natural killer (NK) cells, which were necessary for response. Pretreatment of mice with large established tumors using the STAT1-activating cytokine interferon-γ (IFNγ), the TLR3 ligand poly(I:C), and an anti–IL-10 antibody sensitized tumors to ICB by attracting IFNγ-producing NK cells into the tumor, resulting in increased cure rates. Our results identify a pretreatment tumor microenvironment that predicts response to ICB, which can be therapeutically attained. These data suggest a biomarker-driven approach to patient management to establish whether a patient would benefit from treatment with sensitizing therapeutics before ICB.


2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A728-A728
Author(s):  
Shengqing Gu ◽  
Wubing Zhang ◽  
Xiaoqing Wang ◽  
Peng Jiang ◽  
Nicole Traugh ◽  
...  

BackgroundCancer immunotherapy, especially immune checkpoint blockade (ICB) therapy, is leading to a paradigm shift in cancer treatment, as a small percentage of cancer patients have obtained durable remission following ICB treatment. Successful ICB responses rely on cancer cells presenting antigens to the cell surface via the major histocompatibility complex (MHC), which activates antigen-specific T-lymphocytes to kill cancer cells. Type-I MHC (MHC-I) is wildly expressed in all cell types and mediates the interaction with cytotoxic CD8 T cells. However, over 65% of cancer patients are estimated to show defects in MHC-I-mediated antigen presentation, including downregulation of its expression that can lead to primary or acquired resistance to ICB therapy, and therapeutic strategies to effectively restore or boost MHC-I are limited.MethodsHere, we employed a CRISPR screening approach with dual-marker FACS sorting to identify factors that decouple the regulation of MHC-I and PD-L1. The experimentally validated target was used to generate a KO differential expression signature. Using this signature, we analyzed transcriptome data from drug perturbation studies to identify drugs that regulate MHC-I but not PD-L1. Finally, we validated the effect of the identified drug to enhance ICB response in a T-cell-dependent manner in vivo.ResultsCRISPR screens identified TRAF3, a suppressor of the NF-κB pathway, as a negative regulator of MHC-I but not PD-L1. The Traf3-knockout (Traf3-KO) gene expression signature is associated with better survival in ICB-naive cancer patients and better ICB response. We then screened for drugs with similar transcriptional effects as this signature and identified SMAC mimetics. We experimentally validated that the SMAC mimetic birinapant upregulates MHC-I, sensitizes cancer cells to T-cell-dependent killing, and adds to ICB efficacy. However, in cancer cells with high NF-κB activity, the effect of birinapant on MHC-I is weak, indicating context-dependent MHC-I regulation.ConclusionsIn summary, Traf3 deletion specifically upregulates MHC-I without inducing PD-L1 in response to various cytokines and sensitizes cancer cells to T-cell-driven cytotoxicity. The SMAC mimetic birinapant phenocopies Traf3-knockout and sensitizes MHC-I-low melanoma to ICB therapy. Further studies are needed to elucidate the context-dependencies of MHC-I regulation. Our findings provide preclinical rationale for treating some tumors expressing low MHC-I with SMAC mimetics to enhance sensitivity to immunotherapy. The approach used in this study can be generalized to identify other drugs that enhance immunotherapy efficacy.AcknowledgementsThis study was supported by grants from the NIH (R01CA234018 to XSL, R01AI137337 to BEG, P50CA101942-12 and P50CA206963 to GJF), Breast Cancer Research Foundation (BCRF-19-100 to XSL), Burroughs Wellcome Career Award in Medical Sciences (to BEG), and Sara Elizabeth O'Brien Trust Fellowship (to SG).We thank Drs. Kai Wucherpfennig and Deng Pan for their insightful suggestions on this study.Ethics ApprovalAll mice were housed in standard cage in Dana-Farber Cancer Institute Animal Resources Facility (ARF). All animal procedures were carried out under the ARF Institutional Animal Care and Use Committee (IACUC) protocol and were in accordance with the IACUC standards for the welfare of animals.


2011 ◽  
Vol 4 (10) ◽  
pp. 1599-1608 ◽  
Author(s):  
Melissa Rotunno ◽  
Nan Hu ◽  
Hua Su ◽  
Chaoyu Wang ◽  
Alisa M. Goldstein ◽  
...  

2007 ◽  
Vol 99 (16) ◽  
pp. 1257-1269 ◽  
Author(s):  
Masahiro Seike ◽  
Nozomu Yanaihara ◽  
Elise D. Bowman ◽  
Krista A. Zanetti ◽  
Anuradha Budhu ◽  
...  

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Marcin Krzystanek ◽  
Judit Moldvay ◽  
David Szüts ◽  
Zoltan Szallasi ◽  
Aron Charles Eklund

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