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1.
Cell Rep ; 42(4): 112303, 2023 04 25.
Article in English | MEDLINE | ID: mdl-36952341

ABSTRACT

Oncogenes destabilize STING in epithelial cell-derived cancer cells, such as head and neck squamous cell carcinomas (HNSCCs), to promote immune escape. Despite the abundance of tumor-infiltrating myeloid cells, HNSCC presents notable resistance to STING stimulation. Here, we show how saturated fatty acids in the microenvironment dampen tumor response to STING stimulation. Using single-cell analysis, we found that obesity creates an IFN-I-deprived tumor microenvironment with a massive expansion of suppressive myeloid cell clusters and contraction of effector T cells. Saturated fatty acids, but not unsaturated fatty acids, potently inhibit the STING-IFN-I pathway in HNSCC cells. Myeloid cells from obese mice show dampened responses to STING stimulation and are more suppressive of T cell activation. In agreement, obese hosts exhibited increased tumor burden and lower responsiveness to STING agonist. As a mechanism, saturated fatty acids induce the expression of NLRC3, depletion of which results in a T cell inflamed tumor microenvironment and IFN-I-dependent tumor control.


Subject(s)
Head and Neck Neoplasms , Interferon Type I , Mice , Animals , Squamous Cell Carcinoma of Head and Neck , Fatty Acids , Interferon Type I/metabolism , Myeloid Cells/metabolism , Tumor Microenvironment
2.
Oncoimmunology ; 10(1): 1997385, 2021.
Article in English | MEDLINE | ID: mdl-34858725

ABSTRACT

Type-I interferon (IFN-I) signaling is critical to maintaining antigen-presenting cell function for anti-tumor immunity. However, recent studies have suggested that IFN-I signaling may also contribute to more aggressive phenotypes, raising the possibility that IFN-I downstream signaling in cancer and myeloid cells may exert dichotomous functions.We analyzed the clinicopathologic correlation of cancer-specific IFN-I activation in 195 head and neck squamous cell carcinoma patients. We also characterized the immune impact of IFN-I receptor (IFNAR1)-deficiency in syngeneic tumor models using biochemistry, flow cytometry, and single-cell RNA-Seq. We stained HNSCC tissue microarrays with a sensitive IFN-I downstream signaling activation marker, MX1, and quantitated cancer cell-specific MX1 staining. Kaplan-Meier analysis revealed that MX1-high tumors exhibited worse survival, a phenotype that depends on the number of CD8+ intratumoral T-cells. We found that cancer-specific IFNAR1 engagement promotes cancer stemness and higher expression levels of suppressive immune checkpoint receptor ligands in cancer-derived exosomes. Notably, mice bearing Ifnar1-deficient tumors exhibited lower tumor burden, increased T-cell infiltration, reduced exhausted CD4+PD1high T-cells, and increased effector population CD8+IFN-γ+ T-cells. Then, we performed single-cell RNA-sequencing and discovered that cancer-specific IFN-I signaling not only restricts effector cells expansion but also dampens their functional fitness.The beneficial role of IFN-I activation is largely dependent on the myeloid compartment. Cancer-specific IFN-I receptor engagement promotes cancer stemness and the release of cancer-derived exosomes with high expression levels of immune checkpoint receptor ligands. Cancer-specific IFN-I activation is associated with poor immunogenicity and worse clinical outcomes in HNSCC.


Subject(s)
CD8-Positive T-Lymphocytes , Head and Neck Neoplasms , Animals , Humans , Mice , Signal Transduction , Squamous Cell Carcinoma of Head and Neck
3.
Theranostics ; 10(15): 6959-6976, 2020.
Article in English | MEDLINE | ID: mdl-32550915

ABSTRACT

Ovarian cancer (OC) is estimated to kill ~14,000 women in the United States in 2019. Current chemotherapies to treat OC initially show therapeutic efficacy but frequently drug resistance develops, at which point therapies with alternative targets are needed. Herein, we are describing a novel approach to sensitize these tumors to standard chemotherapies by increasing the transcription of hypoxia-inducible factor antisense. Methods: Genome-wide Bru-seq analysis was performed to fully capture the nascent transcriptional signature of OC cells treated with the gp130 inhibitor, SC144. In vitro and in vivo analysis, including characterization of hypoxia and select protein expression, combination with standard of care chemotherapy and antitumor efficacy were performed to assess the biological activity of SC144 on induction of hypoxia in OC cells. Results: Bru-seq analysis of OVCAR8 cells treated with SC144 shows upregulation of hypoxia related genes. In addition, transcription of hypoxia-inducible factor antisense (HIF1A-AS2) was induced that in turn reduced expression of HIF-1α and simultaneously increased expression of NDRG1. Furthermore, we observed decreased protein levels of EGFR, Met, c-Myc, cyclin D1, MMP-2, MMP-9 and TF, and phosphorylation of Src and P130-cas. SC144-induced alterations of HIF-1α and NDRG1 were also confirmed in prostate cancer cells. Ciclopirox olamine (CPX) induces a cellular transcriptional profile comparable to SC144, suggesting a similar cellular mechanism of action between these two compounds. In addition, SC144 sensitized OC cells to olaparib, carboplatin and cisplatin, and shows better in vivo efficacy than CPX. Conclusion: Induction of hypoxic stress responses through inhibition of gp130 represents a novel approach to design effective anticancer treatments in combination with standard-of-care chemotherapy in OC and the efficacy reported here strongly supports their clinical development.


Subject(s)
Cisplatin/pharmacology , Drug Resistance, Neoplasm , Gene Expression Regulation, Neoplastic/drug effects , Hydrazines/pharmacology , Hypoxia-Inducible Factor 1, alpha Subunit/antagonists & inhibitors , Ovarian Neoplasms/drug therapy , Quinoxalines/pharmacology , RNA, Antisense/genetics , Animals , Antineoplastic Agents/pharmacology , Cell Line, Tumor , Disease Models, Animal , Female , Humans , Hypoxia-Inducible Factor 1, alpha Subunit/metabolism , Mice , Mice, Inbred C57BL , Ovarian Neoplasms/metabolism , Ovarian Neoplasms/pathology , RNA, Antisense/administration & dosage , Up-Regulation
4.
J Clin Invest ; 130(4): 1635-1652, 2020 04 01.
Article in English | MEDLINE | ID: mdl-31874109

ABSTRACT

The incidence of human papillomavirus-positive (HPV+) head and neck squamous cell carcinoma (HNSCC) has surpassed that of cervical cancer and is projected to increase rapidly until 2060. The coevolution of HPV with transforming epithelial cells leads to the shutdown of host immune detection. Targeting proximal viral nucleic acid-sensing machinery is an evolutionarily conserved strategy among viruses to enable immune evasion. However, E7 from the dominant HPV subtype 16 in HNSCC shares low homology with HPV18 E7, which was shown to inhibit the STING DNA-sensing pathway. The mechanisms by which HPV16 suppresses STING remain unknown. Recently, we characterized the role of the STING/type I interferon (IFN-I) pathway in maintaining immunogenicity of HNSCC in mouse models. Here we extended those findings into the clinical domain using tissue microarrays and machine learning-enhanced profiling of STING signatures with immune subsets. We additionally showed that HPV16 E7 uses mechanisms distinct from those used by HPV18 E7 to antagonize the STING pathway. We identified NLRX1 as a critical intermediary partner to facilitate HPV16 E7-potentiated STING turnover. The depletion of NLRX1 resulted in significantly improved IFN-I-dependent T cell infiltration profiles and tumor control. Overall, we discovered a unique HPV16 viral strategy to thwart host innate immune detection that can be further exploited to restore cancer immunogenicity.


Subject(s)
Head and Neck Neoplasms/immunology , Human papillomavirus 16/immunology , Membrane Proteins/immunology , Mitochondrial Proteins/immunology , Proteolysis , Squamous Cell Carcinoma of Head and Neck/immunology , Tumor Escape , Animals , Cell Line, Tumor , Female , Head and Neck Neoplasms/genetics , Head and Neck Neoplasms/virology , Human papillomavirus 16/genetics , Humans , Male , Membrane Proteins/genetics , Mice , Mice, Knockout , Mitochondrial Proteins/genetics , Papillomavirus E7 Proteins/genetics , Papillomavirus E7 Proteins/immunology , Signal Transduction/genetics , Signal Transduction/immunology , Squamous Cell Carcinoma of Head and Neck/genetics , Squamous Cell Carcinoma of Head and Neck/virology
5.
PLoS Comput Biol ; 15(5): e1006976, 2019 05.
Article in English | MEDLINE | ID: mdl-31059559

ABSTRACT

Gene-expression deconvolution is used to quantify different types of cells in a mixed population. It provides a highly promising solution to rapidly characterize the tumor-infiltrating immune landscape and identify cold cancers. However, a major challenge is that gene-expression data are frequently contaminated by many outliers that decrease the estimation accuracy. Thus, it is imperative to develop a robust deconvolution method that automatically decontaminates data by reliably detecting and removing outliers. We developed a new machine learning tool, Fast And Robust DEconvolution of Expression Profiles (FARDEEP), to enumerate immune cell subsets from whole tumor tissue samples. To reduce noise in the tumor gene expression datasets, FARDEEP utilizes an adaptive least trimmed square to automatically detect and remove outliers before estimating the cell compositions. We show that FARDEEP is less susceptible to outliers and returns a better estimation of coefficients than the existing methods with both numerical simulations and real datasets. FARDEEP provides an estimate related to the absolute quantity of each immune cell subset in addition to relative percentages. Hence, FARDEEP represents a novel robust algorithm to complement the existing toolkit for the characterization of tissue-infiltrating immune cell landscape. The source code for FARDEEP is implemented in R and available for download at https://github.com/YuningHao/FARDEEP.git.


Subject(s)
Gene Expression Profiling/methods , Lymphocytes, Tumor-Infiltrating/metabolism , Sequence Analysis, DNA/methods , Algorithms , Gene Expression Regulation/genetics , Humans , Least-Squares Analysis , Neoplasms/genetics , Software , Transcriptome/genetics
6.
Clin Cancer Res ; 24(17): 4242-4255, 2018 09 01.
Article in English | MEDLINE | ID: mdl-29769207

ABSTRACT

Purpose: The response rates of Head and Neck Squamous Cell Carcinoma (HNSCC) to checkpoint blockade are below 20%. We aim to develop a mechanism-based vaccine to prevent HNSCC immune escape.Experimental Design: We performed RNA-Seq of sensitive and resistant HNSCC cells to discover central pathways promoting resistance to immune killing. Using biochemistry, animal models, HNSCC microarray, and immune cell deconvolution, we assessed the role of SOX2 in inhibiting STING-type I interferon (IFN-I) signaling-mediated antitumor immunity. To bypass SOX2-potentiated STING suppression, we engineered a novel tumor antigen-targeted nanosatellite vehicle to enhance the efficacy of STING agonist and sensitize SOX2-expressing HNSCC to checkpoint blockade.Results: The DNA-sensing defense response is the most suppressed pathway in immune-resistant HNSCC cells. We identified SOX2 as a novel inhibitor of STING. SOX2 facilitates autophagy-dependent degradation of STING and inhibits IFN-I signaling. SOX2 potentiates an immunosuppressive microenvironment and promotes HNSCC growth in vivo in an IFN-I-dependent fashion. Our unique nanosatellite vehicle significantly enhances the efficacy of STING agonist. We show that the E6/E7-targeted nanosatellite vaccine expands the tumor-specific CD8+ T cells by over 12-fold in the tumor microenvironment and reduces tumor burden. A combination of nanosatellite vaccine with anti-PD-L1 significantly expands tumor-specific CTLs and limits the populations expressing markers for exhaustion, resulting in more effective tumor control and improved survival.Conclusions: SOX2 dampens the immunogenicity of HNSCC by targeting the STING pathway for degradation. The nanosatellite vaccine offers a novel and effective approach to enhance the adjuvant potential of STING agonist and break cancer tolerance to immunotherapy. Clin Cancer Res; 24(17); 4242-55. ©2018 AACR.


Subject(s)
Cancer Vaccines/immunology , Membrane Proteins/genetics , SOXB1 Transcription Factors/genetics , Squamous Cell Carcinoma of Head and Neck/immunology , Animals , Autophagy/immunology , B7-H1 Antigen/antagonists & inhibitors , B7-H1 Antigen/immunology , Cancer Vaccines/pharmacology , Drug Resistance, Neoplasm/immunology , Gene Expression Regulation, Neoplastic , HEK293 Cells , High-Throughput Nucleotide Sequencing , Humans , Immune Tolerance , Immunotherapy , Interferon Type I/genetics , Interferon Type I/immunology , Membrane Proteins/immunology , Mice , Nanostructures/administration & dosage , Nanostructures/chemistry , SOXB1 Transcription Factors/immunology , Squamous Cell Carcinoma of Head and Neck/prevention & control , Squamous Cell Carcinoma of Head and Neck/therapy , Tumor Microenvironment/immunology
7.
Dis Model Mech ; 8(10): 1201-11, 2015 Oct 01.
Article in English | MEDLINE | ID: mdl-26438693

ABSTRACT

Pancreatic ductal adenocarcinoma (PDA) is the fourth leading cause of cancer-related deaths in the United States, and is projected to be second by 2025. It has the worst survival rate among all major cancers. Two pressing needs for extending life expectancy of affected individuals are the development of new approaches to identify improved therapeutics, addressed herein, and the identification of early markers. PDA advances through a complex series of intercellular and physiological interactions that drive cancer progression in response to organ stress, organ failure, malnutrition, and infiltrating immune and stromal cells. Candidate drugs identified in organ culture or cell-based screens must be validated in preclinical models such as KIC (p48(Cre);LSL-Kras(G12D);Cdkn2a(f/f)) mice, a genetically engineered model of PDA in which large aggressive tumors develop by 4 weeks of age. We report a rapid, systematic and robust in vivo screen for effective drug combinations to treat Kras-dependent PDA. Kras mutations occur early in tumor progression in over 90% of human PDA cases. Protein kinase and G-protein coupled receptor (GPCR) signaling activates Kras. Regulators of G-protein signaling (RGS) proteins are coincidence detectors that can be induced by multiple inputs to feedback-regulate GPCR signaling. We crossed Rgs16::GFP bacterial artificial chromosome (BAC) transgenic mice with KIC mice and show that the Rgs16::GFP transgene is a Kras(G12D)-dependent marker of all stages of PDA, and increases proportionally to tumor burden in KIC mice. RNA sequencing (RNA-Seq) analysis of cultured primary PDA cells reveals characteristics of embryonic progenitors of pancreatic ducts and endocrine cells, and extraordinarily high expression of the receptor tyrosine kinase Axl, an emerging cancer drug target. In proof-of-principle drug screens, we find that weanling KIC mice with PDA treated for 2 weeks with gemcitabine (with or without Abraxane) plus inhibitors of Axl signaling (warfarin and BGB324) have fewer tumor initiation sites and reduced tumor size compared with the standard-of-care treatment. Rgs16::GFP is therefore an in vivo reporter of PDA progression and sensitivity to new chemotherapeutic drug regimens such as Axl-targeted agents. This screening strategy can potentially be applied to identify improved therapeutics for other cancers.


Subject(s)
Antineoplastic Agents/therapeutic use , Carcinoma, Pancreatic Ductal/drug therapy , Drug Evaluation, Preclinical , Pancreatic Neoplasms/drug therapy , Albumin-Bound Paclitaxel/pharmacology , Albumin-Bound Paclitaxel/therapeutic use , Animals , Antineoplastic Agents/pharmacology , Biological Assay , Carcinogenesis/pathology , Carcinoma, Pancreatic Ductal/pathology , Cell Proliferation , Deoxycytidine/analogs & derivatives , Deoxycytidine/pharmacology , Deoxycytidine/therapeutic use , Genes, Reporter , Green Fluorescent Proteins/metabolism , Humans , Mice , Pancreatic Neoplasms/pathology , Proto-Oncogene Proteins/antagonists & inhibitors , Proto-Oncogene Proteins/metabolism , Proto-Oncogene Proteins p21(ras)/metabolism , RGS Proteins/metabolism , Receptor Protein-Tyrosine Kinases/antagonists & inhibitors , Receptor Protein-Tyrosine Kinases/metabolism , Gemcitabine , Axl Receptor Tyrosine Kinase , Pancreatic Neoplasms
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