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1.
J Clin Invest ; 133(21)2023 11 01.
Article in English | MEDLINE | ID: mdl-37651197

ABSTRACT

The triggering receptor expressed on myeloid cell 1 (TREM1) plays a critical role in development of chronic inflammatory disorders and the inflamed tumor microenvironment (TME) associated with most solid tumors. We examined whether loss of TREM1 signaling can abrogate the immunosuppressive TME and enhance cancer immunity. To investigate the therapeutic potential of TREM1 in cancer, we used mice deficient in Trem1 and developed a novel small molecule TREM1 inhibitor, VJDT. We demonstrated that genetic or pharmacological TREM1 silencing significantly delayed tumor growth in murine melanoma (B16F10) and fibrosarcoma (MCA205) models. Single-cell RNA-Seq combined with functional assays during TREM1 deficiency revealed decreased immunosuppressive capacity of myeloid-derived suppressor cells (MDSCs) accompanied by expansion in cytotoxic CD8+ T cells and increased PD-1 expression. Furthermore, TREM1 inhibition enhanced the antitumorigenic effect of anti-PD-1 treatment, in part, by limiting MDSC frequency and abrogating T cell exhaustion. In patient-derived melanoma xenograft tumors, treatment with VJDT downregulated key oncogenic signaling pathways involved in cell proliferation, migration, and survival. Our work highlights the role of TREM1 in cancer progression, both intrinsically expressed in cancer cells and extrinsically in the TME. Thus, targeting TREM1 to modify an immunosuppressive TME and improve efficacy of immune checkpoint therapy represents what we believe to be a promising therapeutic approach to cancer.


Subject(s)
Melanoma , Myeloid-Derived Suppressor Cells , Humans , Animals , Mice , Triggering Receptor Expressed on Myeloid Cells-1/genetics , Triggering Receptor Expressed on Myeloid Cells-1/metabolism , Myeloid Cells/pathology , Cell Line, Tumor , Melanoma/drug therapy , Melanoma/genetics , Melanoma/metabolism , T-Lymphocytes, Cytotoxic/pathology , Disease Models, Animal , Tumor Microenvironment
2.
Cancer Discov ; 12(8): 1960-1983, 2022 08 05.
Article in English | MEDLINE | ID: mdl-35723626

ABSTRACT

Although inflammatory mechanisms driving hepatocellular carcinoma (HCC) have been proposed, the regulators of anticancer immunity in HCC remain poorly understood. We found that IL27 receptor (IL27R) signaling promotes HCC development in vivo. High IL27EBI3 cytokine or IL27RA expression correlated with poor prognosis for patients with HCC. Loss of IL27R suppressed HCC in vivo in two different models of hepatocarcinogenesis. Mechanistically, IL27R sig-naling within the tumor microenvironment restrains the cytotoxicity of innate cytotoxic lymphocytes. IL27R ablation enhanced their accumulation and activation, whereas depletion or functional impairment of innate cytotoxic cells abrogated the effect of IL27R disruption. Pharmacologic neutralization of IL27 signaling increased infiltration of innate cytotoxic lymphocytes with upregulated cytotoxic molecules and reduced HCC development. Our data reveal an unexpected role of IL27R signaling as an immunologic checkpoint regulating innate cytotoxic lymphocytes and promoting HCC of different etiologies, thus indicating a therapeutic potential for IL27 pathway blockade in HCC. SIGNIFICANCE: HCC, the most common form of liver cancer, is characterized by a poor survival rate and limited treatment options. The discovery of a novel IL27-dependent mechanism controlling anticancer cytotoxic immune response will pave the road for new treatment options for this devastating disease. This article is highlighted in the In This Issue feature, p. 1825.


Subject(s)
Antineoplastic Agents , Carcinoma, Hepatocellular , Interleukin-27 , Liver Neoplasms , T-Lymphocytes, Cytotoxic , Antineoplastic Agents/therapeutic use , Carcinoma, Hepatocellular/immunology , Humans , Immunity, Innate/genetics , Immunity, Innate/immunology , Interleukin-27/immunology , Interleukins/immunology , Liver Neoplasms/immunology , Prognosis , Receptors, Interleukin/immunology , Signal Transduction , T-Lymphocytes, Cytotoxic/immunology , Tumor Microenvironment/immunology
3.
Nat Med ; 28(3): 545-556, 2022 03.
Article in English | MEDLINE | ID: mdl-35228752

ABSTRACT

Ample evidence indicates that the gut microbiome is a tumor-extrinsic factor associated with antitumor response to anti-programmed cell death protein-1 (PD-1) therapy, but inconsistencies exist between published microbial signatures associated with clinical outcomes. To resolve this, we evaluated a new melanoma cohort, along with four published datasets. Time-to-event analysis showed that baseline microbiota composition was optimally associated with clinical outcome at approximately 1 year after initiation of treatment. Meta-analysis and other bioinformatic analyses of the combined data show that bacteria associated with favorable response are confined within the Actinobacteria phylum and the Lachnospiraceae/Ruminococcaceae families of Firmicutes. Conversely, Gram-negative bacteria were associated with an inflammatory host intestinal gene signature, increased blood neutrophil-to-lymphocyte ratio, and unfavorable outcome. Two microbial signatures, enriched for Lachnospiraceae spp. and Streptococcaceae spp., were associated with favorable and unfavorable clinical response, respectively, and with distinct immune-related adverse effects. Despite between-cohort heterogeneity, optimized all-minus-one supervised learning algorithms trained on batch-corrected microbiome data consistently predicted outcomes to programmed cell death protein-1 therapy in all cohorts. Gut microbial communities (microbiotypes) with nonuniform geographical distribution were associated with favorable and unfavorable outcomes, contributing to discrepancies between cohorts. Our findings shed new light on the complex interaction between the gut microbiome and response to cancer immunotherapy, providing a roadmap for future studies.


Subject(s)
Gastrointestinal Microbiome , Melanoma , Microbiota , Bacteria/genetics , Gastrointestinal Microbiome/genetics , Humans , Immunotherapy/adverse effects , Melanoma/drug therapy
4.
Mol Syst Biol ; 16(7): e9427, 2020 07.
Article in English | MEDLINE | ID: mdl-32657546

ABSTRACT

Programmable gene activation enables fine-tuned regulation of endogenous and synthetic gene circuits to control cellular behavior. While CRISPR-Cas-mediated gene activation has been extensively developed for eukaryotic systems, similar strategies have been difficult to implement in bacteria. Here, we present a generalizable platform for screening and selection of functional bacterial CRISPR-Cas transcription activators. Using this platform, we identified a novel CRISPR activator, dCas9-AsiA, that could activate gene expression by more than 200-fold across genomic and plasmid targets with diverse promoters after directed evolution. The evolved dCas9-AsiA can simultaneously mediate activation and repression of bacterial regulons in E. coli. We further identified hundreds of promoters with varying basal expression that could be induced by dCas9-AsiA, which provides a rich resource of genetic parts for inducible gene activation. Finally, we show that dCas9-AsiA can be ported to other bacteria of clinical and bioindustrial relevance, thus enabling bacterial CRISPRa in more application areas. This work expands the toolbox for programmable gene regulation in bacteria and provides a useful resource for future engineering of other bacterial CRISPR-based gene regulators.


Subject(s)
CRISPR-Cas Systems/drug effects , Escherichia coli/drug effects , Escherichia coli/metabolism , Gene Expression Regulation, Bacterial/drug effects , Protein Engineering/methods , Transcription Factors/metabolism , Transcription, Genetic/drug effects , Viral Proteins/metabolism , Amino Acid Sequence , Bacteria/drug effects , Bacteria/genetics , Bacteria/metabolism , Clustered Regularly Interspaced Short Palindromic Repeats/drug effects , Directed Molecular Evolution , Escherichia coli/genetics , Gene Expression Regulation, Bacterial/genetics , Gene Library , Genes, Reporter/drug effects , Genes, Reporter/genetics , Promoter Regions, Genetic , RNA, Guide, Kinetoplastida/genetics , Sequence Alignment , Software , Transcription Factors/chemistry , Transcription Factors/genetics , Viral Proteins/chemistry , Viral Proteins/genetics
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