Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-Seq analysis to compare myeloid cells from PD-L1-LysMCre mice with littermate Wild-type controls

ABSTRACT: Programmed death-ligand 1 (PD-L1) is predominantly expressed in the antigen-presenting cells (APCs) that are originated and abundant in bone marrow. The roles of PD-L1 in bone cell differentiation and cancer bone metastasis remain unclear. Here we show that PD-L1 antibody or PD-L1 conditional knockout in the hematopoietic or myeloid lineage suppresses osteoclast differentiation in vitro and in vivo. Bone metastases of breast cancer and melanoma are diminished by PD-L1 antibody or PD-L1 deletion in the myeloid lineage. Transcriptional profiling of bone marrow cells reveals that PD-L1 deletion in the myeloid cells up-regulates immune stimulatory genes, leading to increased macrophage M1 polarization, decreased M2 polarization, enhanced IFN? signaling, and elevated T cell recruitment and activation. All these alterations result in heightened anti-tumor immunity in the cancer microenvironment. Our findings support PD-L1 antibody as a potent therapy for bone metastasis of breast cancer and melanoma by simultaneously suppressing osteoclast and enhancing immunity.

ORGANISM(S): Mus musculus

PROVIDER: GSE190715 | GEO | 2022/03/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Enhancing PD-L1 Degradation by ITCH during MAPK Inhibitor Therapy Suppresses Acquired Resistance

Project description:Disrupting PD-1/PD-L1 interaction rejuvenates antitumor immunity. Clinical successes by blocking PD-1/PD-L1 binding have grown across wide-ranging cancer histologies, but innate therapy resistance is evident in the majority of treated patients1. Cancer cells can express robust surface levels of PD-L1 to tolerize tumor-specific T cells, but regulation of PD-L1 protein levels in the cancer cell is poorly understood. Quasi-mesenchymal tumor cells up-regulate PD-L1/L2 and induce an immune-suppressive microenvironment, including expansion of M2-like macrophages and regulatory T cells and exclusion of CD8+ T-cell infiltration2. Targeted therapy, including MAPK inhibitor therapy in melanoma, leads to quasi-mesenchymal transitions and resistance3, and both MAPK inhibitor treatment and mesenchymal signatures are associated with innate anti-PD-1 resistance4,5. Here we identify ITCH as an E3 ligase that downregulates tumor cell-surface PD-L1/L2 in PD-L1/L2-high cancer cells, including MAPK inhibitor-resistant melanoma, and suppresses acquired MAPK inhibitor resistance in and only in immune-competent mice. ITCH interacts with and poly-ubiquitinates PD-L1/L2, and ITCH deficiency increases cell-surface PD-L1/L2 expression and reduces T cell activation. Mouse melanoma tumors grow faster with Itch knockdown only in syngeneic hosts but not in immune-deficient mice. MAPK inhibitor therapy induces tumor cell-surface PD-L1 expression in murine melanoma, recapitulating the responses of clinical melanoma3, and this induction is more robust with Itch knockdown. Notably, suppression of ITCH expression first elicits a shift toward an immune-suppressive microenvironment and then accelerates resistance development. These findings collectively identify ITCH as a critical negative regulator of PD-L1 tumor cell-surface expression and provide insights into previously unexplained role of PD-L1 in adaptive resistance to therapy.

2022-03-31 | MSV000089180 | MassIVE

High Response Rate to Anti PD-1 Therapy in Desmoplastic Melanoma

Project description:<p>Desmoplastic melanoma (DM) is a rare subtype of melanoma characterized by dense fibrous stroma, resistance to chemotherapy and a lack of actionable driver mutations, but is highly associated with ultraviolet light DNA damage. We analysed 60 patients with advanced DM treated with programmed cell death 1 (PD-1) or PD-1 ligand (PD-L1) blocking antibody therapy. Objective tumor responses were observed in 42 of the 60 patients (70%, 95% confidence interval 57-81%), including 19 patients (32% overall) with a complete response. Whole-exome sequencing revealed a high mutational load and frequent NF-1 mutations (14 out of 17 cases). Immunohistochemistry (IHC) analysis from 19 DM and 13 non-DM revealed a higher percentage of PD-L1 positive cells in the tumor parenchyma in DM (p = 0.04), highly associated with increased CD8 density and PD-L1 expression in the tumor invasive margin. Therefore, patients with advanced DM derive significant clinical benefit from PD-1/PD-L1 immune checkpoint blockade therapy despite being a cancer defined by its dense desmoplastic fibrous stroma. The benefit is likely derived from the high mutational burden and a frequent pre-existing adaptive immune response limited by PD-L1 expression.</p>

| phs001469 | dbGaP

Expression data in PD-L1 positive and PD-L1 negative human melanoma samples

Project description:Blocking the PD-1/PD-L1 immunosuppressive pathway has shown promise in the treatment of certain cancers including melanoma. This study investigates differences in the gene expression profiles of human melanomas that do or do not display the immunosuppressive protein PD-L1. Further understanding of genes expressed within the tumor microenvironment of PD-L1+ tumors may lead to improved rationally designed treatments. Gene expression profiling was performed on total RNA extracted by laser capture microdissection from 11 archived formalin-fixed paraffin-embedded (FFPE) melanoma specimens, 5 of which were PD-L1 positive and 6 PD-L1 negative. Details of the design, and the gene signatures found are given in the paper associated with this GEO Series: Janis M. Taube, Geoffrey D. Young, Tracee L. McMiller, Shuming Chen, January T. Salas, Theresa S. Pritchard, Haiying Xu, Alan K. Meeker, Jinshui Fan, Chris Cheadle, Alan E. Berger, Drew M. Pardoll, and Suzanne L. Topalian, Differential expression of immune-regulatory genes associated with PD-L1 display in melanoma: implications for PD-1 pathway blockade, Clin Cancer Res 2015, in press.

2015-05-01 | E-GEOD-65041 | biostudies-arrayexpress

Role of B cells in generating anti-melanoma immunity in response to anti-PD-L1 antibody therapy

Project description:B cells potentially play a role in the immune response to melanoma, including during treatment with immune modulators. We profiled (transcriptome analysis) effects of anti-PD-L1 antibody therapy on gene expression in B16 melanoma tumors of B cells depleted and WT syngeneic mice. After 7 days of B16 tumors implantation, mice were treated or untreated with anti-PD-L1 antibody (every three days).

2022-05-15 | GSE202879 | GEO

Alterations of Ceramide Synthesis Induce PD-L1 Internalization and Signaling to Regulate Tumor Metastasis and Immunotherapy Response

Project description:Programmed death-ligand 1, PD-L1 (CD274) facilitates immune evasion and exerts pro-survival functions in cancer cells. Here, we report a new mechanism whereby internalization of PD-L1 in response to alterations of bioactive lipid/ceramide metabolism by ceramide synthase 4 (CerS4) induces sonic-hedgehog (Shh) and TGF- receptor signaling to enhance tumor metastasis in triple-negative breast cancers (TNBC), exhibiting immunotherapy resistance. Mechanistically, data showed that internalized PD-L1 interacts with an RNA-binding protein Caprin-1 to stabilize Shh/TGFBR1/Wnt mRNAs to induce -catenin signaling and TNBC growth/metastasis, consistent with increased infiltration of FoxP3+ T regs and resistance to immunotherapy. While mammary tumors developed in MMTV-PyMT/CerS4-/- were highly metastatic, targeting the Shh/PD-L1 axis using Sonidegib and anti-PD-L1 antibody vastly decreased tumor growth and metastasis, consistent with the inhibition of PD-L1 internalization and Shh/Wnt signaling, restoring anti-tumor immune response. These data, validated in clinical samples and databases, provide a mechanism-based therapeutic strategy to improve immunotherapy responses in metastatic TNBCs.

2024-07-07 | GSE267312 | GEO

IL-10 dampens antitumor immunity and promotes liver metastasis via PD-L1 induction

Project description:Background & Aims: The liver is one of the organs most commonly affected by metastasis. The presence of liver metastasis is reported to be responsible for an immunosuppressive microenvironment and diminished immunotherapy efficacy. Here, we aimed to investigate the role of IL-10 in liver metastasis formation and decipher its therapeutic potential in affecting immunotherapy effectiveness. Methods: To induce spontaneous or forced liver metastasis in mice, murine cancer cells (MC38) or colon tumor organoids were injected into the cecum or the spleen, respectively. Mice with complete and cell-type specific deletion of IL-10- and IL-10Ra were used to identify the source and the target of IL-10 during metastasis formation. Programmed death ligand 1 (PD-L1)-deficient mice were used to test the role of this checkpoint. Flow cytometry was applied to characterize the regulation of IL-10 on PD-L1. Results: We found that Il10-deficient mice and mice treated with IL-10Ra antibodies were protected against liver metastasis formation. Furthermore, by using IL-10 reporter mice, we demonstrated that Foxp3+ regulatory T cells (Tregs) were the major cellular source of IL-10 in liver metastatic sites. Accordingly, deletion of IL-10 in Tregs, but not in myeloid cells, led to reduced liver metastasis. Mechanistically, IL-10 acted on Tregs in an autocrine manner, thereby further amplifying IL-10 production. Furthermore, IL-10 acted on myeloid cells, i.e., monocytes, and induced the upregulation of the immune checkpoint protein PD-L1. Finally, the PD-L1/PD-1 axis attenuated CD8-dependent cytotoxicity against metastatic lesions. Conclusions: Treg-derived IL-10 upregulates PD-L1 expression in monocytes, which in turn reduces CD8+ T-cell infiltration and related antitumor immunity in the context of colorectal cancer (CRC)-derived liver metastasis. These findings provide the basis for future monitoring and targeting of IL-10 in CRC-derived liver metastasis.

2024-02-09 | GSE247304 | GEO

B cell activating factor (BAFF) attenuates immunosuppressive monocytes in the melanoma tumor micro-environment

Project description:Emerging evidence indicates BAFF to be an important cytokine influencing anti-tumoral immunity. We generated a BAFF-overexpressing B16.F10 (BAFF) melanoma cell model and found that a significant survival advantage was conferred to C57BL/6 mice inoculated with BAFF cells. BAFF tumors had decreased myeloid infiltrates with lower PD-L1 expression. Monocyte depletion and anti-PD-L1 antibody treatment confirmed the functional significance on the phenotype. RNA-Seq analysis confirmed that monocytes isolated from BAFF tumors where characterized by a decreased exhaustive phenotype and enriched for in genes activating adaptive immune responses and NF- signaling. We wondered about the clinical relevance of BAFF plasma levels in melanoma patients. Evaluation of late stage metastatic melanoma patients treated with inhibitors of the PD-1/PD-L1 axis demonstrated a stratification of patients with high and low BAFF plasma levels, the former of which experienced lower responses to anti-PD-1 immunotherapies. In summary, we have shown that BAFF, through effects on tumor infiltrating monocytes not only impacts primary tumor growth but as biomarker can contribute to predicting response to anti-PD1 immunotherapy in later stages of advanced disease.

2022-08-31 | GSE179670 | GEO

Anti-PD-L1 Lead-in Before MAPKi Combination Maximizes Anti-Tumor Efficacy and Immunity [scRNAseq and scTCR-seq]

Project description:Indications of PD-1/L1- and MAPK-targeted therapies cross cancer histologies. Rationally sequencing and/or combining them may overcome innate and acquired resistance. We observed increased clinical benefit of BRAF andV600MUT/MEK inhibitors in patients with advanced BRAFV600MUT melanoma who were previously treated with immune checkpoint therapy (ICT). To test whether ICT primes MAPK inhibitor (MAPKi) efficacy, we compared sequential/combinatorial regimens in subcutaneous mouse tumors driven by BrafV600, Nras, Nf1 or Kras mutations. The most efficacious regimen consisted of anti-PD-L1 lead-in preceding MAPKi combination and specifically promoted intratumoral pro-inflammatory macrophages and clonal expansion of IFNhi, CD8+ cytotoxic T-cells (relative to CD4+ regulatory T-cells) that highly expressed activation and cytolytic genes. Since melanoma brain metastasis (MBM) and its propensity for therapeutic resistance limit patient survival, we developed an experimental metastasis model of BrafV600MUT MBM. Sequencing anti-PD-L1 before MAPKi combination resulted in superior MBM control and survival as well as robust intratumoral T-cell clonal expansion both intracranially and extracranially. We propose that brief anti-PD-1/L1 dosing prior to MAPKi co-treatment suppresses resistance.

2021-08-19 | GSE177901 | GEO

Anti-PD-L1 Lead-in Before MAPKi Combination Maximizes Anti-Tumor Efficacy and Immunity [TCRseq]

2021-08-19 | GSE177900 | GEO

Expression data from CD115+ preosteoclasts stimulated by conditioned medium from CT-26 cells

Project description:In osteolytic tumor, bone resportion can be occured after bone metastasis. Bone metastasis of colorectal cancer can induce obvious bone destruction. Aberrant activation of osteoclasts and the precursors is responsible for tumor-induced osteolysis. The biological process of osteoclast precursors could be modified by different tumor microenvironment. Microarrays were used to detail the differentially expressed genes or non-coding RNAs between normal osteoclast precursors and osteoclast precursors treated by secreta from CT-26 cells.

2021-08-14 | GSE182097 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data