Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell RNA sequence reveals C5aR1 inhibition selectively targets pro-tumorigenic M2 macrophages reversing PARP inhibitor resistance

ABSTRACT: Although Poly (ADP-ribose) polymerase (PARP) inhibitors (PARPi) have been approved in multiple diseases, including BRCA1/2 mutant breast cancer, responses are usually transient thus requiring the development of combination therapies that can capitalize on PARPi activity. We thus explored mechanisms underlying sensitivity and resistance to PARPi using two intrinsically sensitive and resistant syngeneic murine breast cancer models. Our data indicate that the PARPi sensitive tumor model has a high ratio of M1 anti-tumor/M2 pro-tumor macrophages with the M1/M2 ratio being increased by PARPi. In contrast the PARPi resistant tumor model had very low levels of M1 macrophages and thus a low M1/M2 ratio that was not altered by PARPi. Our data indicate that co-transplantation of the PARPi sensitive and the PARPi resistant tumor results in accumulation of M2 macrophages in the sensitive tumor, rendering the sensitive tumor PARPi resistant. C5aR1 and RPS19/C5aR1 signaling is selectively elevated in the M2 macrophages that are associated with PARPi resistance. Strikingly C5aR1 targeting decreased M2 macrophages, while sparing M1 macrophages rendering PARPi resistant tumors sensitive to PARPi. Consistent with the murine data, human breast cancers with high C5aR1 levels have a poor response to immune checkpoint blockade. Thus targeting C5aR1 may represent a therapeutic approach to selectively deplete M2 macropahges and engender sensitivity to PARPi and potentially other therapeutic approaches.

ORGANISM(S): Homo sapiens

PROVIDER: GSE215908 | GEO | 2023/06/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

STING Agonism Reprograms Tumor-associated Macrophages and Overcomes Resistance to PARP inhibition in BRCA1-deficient Models of Breast Cancer

Project description:PARP inhibitors (PARPi) have drastically changed the treatment landscape of advanced ovarian tumors with BRCA mutations. However, the impact of this class of inhibitors in patients with advanced BRCA-mutant breast cancer is relatively modest. Using a syngeneic genetically-engineered mouse model of breast tumor driven by Brca1 deficiency, we show that tumor-associated macrophages (TAMs) blunt PARPi efficacy both in vivo and in vitro. Mechanistically, BRCA1-deficient breast tumor cells induce pro-tumor polarization of TAMs, which in turn suppress PARPi-elicited DNA damage in tumor cells, leading to reduced production of dsDNA fragments and synthetic lethality, hence impairing STING-dependent anti-tumor immunity. STING agonists reprogram M2-like pro-tumor macrophages into an M1-like anti-tumor state in a macrophage STING-dependent manner. Systemic administration of a STING agonist breaches multiple layers of tumor cell-mediated suppression of immune cells, and synergizes with PARPi to suppress tumor growth. The therapeutic benefits of this combination require host STING and are mediated by a type I IFN response and CD8+ T cells, but do not rely on tumor cell-intrinsic STING. Our data illustrate the importance of targeting innate immune suppression to facilitate PARPi-mediated engagement of anti-tumor immunity in breast cancer.

2022-04-21 | GSE201017 | GEO

Genome-wide analysis of M1 and M2 polarized macrophages with CNI-1493 treatment

Project description:Analysis of the effects of CNI-1493 treatment on M1 and M2 polarized macrophages. The purpose of this microarray is to identify genes that may be differentially expressed in M1 or M2 macrophages after treatment with CNI-1493. CNI-1493 is a known inhibitor of M1 macrophages but details of its molecular mechanism are unknown. The effect of CNI-1493 on M2 macrophages has yet to be explored, but we hypothesize that CNI-1493 treatment will attenuate pro-tumor properties of M2 macrophages. We demonstrate with this array that known macrophage markers are unchanged after treatment with CNI-1493, indicating that CNI-1493 does not change the macrophage phenotype on a transcriptional level. Additionally, no candidate genes to suggest how CNI-1493 may attenuate the pro-tumor effects of M2 macrophages are readily identifiable. Total RNA extracted from M1 or M2 macrophages after polarization with GM-CSF (25ng/ml) or M-CSF (25ng/ml) for 7 days, followed by addition of IFN-γ (20ng/ml) and LPS (100ng/ml) or IL-4 (40ng/ml) for 18 hours, respectively, from CD14+ human PBMCs, and treated with CNI-1493 (200nM)

2015-03-12 | E-GEOD-66805 | biostudies-arrayexpress

Identification of novel glycoproteins expressed on human macrophage surface using glycoproteomics

Project description:Prostate cancer is a leading cause of cancer-related deaths of men in the U.S. While localized disease is highly treatable by surgical resection and radiation, cancer that has metastasized remains incurable. Immune cells that primarily scavenge debris, promote prostate cancer angiogenesis and wound repair are M2 Macrophages. They are phenotypically similar to M2 tumor-associated macrophages (M2-TAMs) have been reported to associate with solid tumors and aide in proliferation, metastasis, and resistance to therapy. As an invasive species within the tumor microenvironment, this makes M2-TAMs an ideal therapeutic target in prostate cancer. To identify novel surface antigens expressed on M2-macrophages, we developed a novel method of creating homogenous populations of human macrophages from human CD14+ monocytes in vitro. These homogenous M1 macrophages secrete pro-inflammatory cytokines and our M2 macrophages secrete anti-inflammatory cytokines as well as Vascular Endothelial Growth Factor (VEGF). To identify enriched surface glycoproteins, we then performed solid-phase extraction of N-linked glycopeptides (SPEG) followed by liquid chromatography-tandem Mass Spectrometry (LC-MS/MS) on our homogenous macrophage populations. We discovered novel glycoproteins that are enriched exclusively on human M2-macrophages relative to human M1 macrophages and human CD14+ monocytes. Lastly, we determined if these surface antigens, found enriched on M2 macrophages, were also expressed in human metastatic castrate-resistant prostate cancer (mCRPC) tissues. Using mCRPC tissues from rapid autopsies, we were able to determine M2-macrophage infiltration by using immunohistochemistry and flow cytometry. These findings highlight the presence of macrophage infiltration in human mCRPC but also surface antigens that could be used for prognosis of localized disease and for targeting strategies.

2017-03-31 | PXD005080 | Pride

Tumor cells modulate macrophage phenotype in a novel in vitro co-culture model of the non-small cell lung cancer tumor microenvironment

Project description:Introduction: Macrophage phenotype in the tumor microenvironment correlates with prognosis in non-small cell lung cancer (NSCLC). Immunosuppressive macrophages promote tumor progression, while pro-inflammatory macrophages may drive an anti-tumor immune response. How individual NSCLCs impact macrophage phenotype is a major knowledge gap. Methods: To systematically study the impact of lung cancer cells on macrophage phenotypes, we developed an in vitro co-culture model comprised of molecularly and clinically-annotated patient-derived NSCLC lines, human cancer-associated fibroblasts, and murine macrophages. Induced macrophage phenotype was studied through qRT-PCR and validated in vivo using NSCLC xenografts through quantitative immunohistochemistry and clinically with TCGA “matched” patient tumors. Results: 72 NSCLC cell lines were studied. The most frequent highly induced macrophage-related gene was Arginase-1, reflecting an immunosuppressive M2-like phenotype. This was independent of multiple clinicopathologic factors, which also did not impact M2:M1 ratios in matched TCGA samples. In vivo, tumors established from high Arginase-1-inducing lines (Arghi) had a significantly elevated density of Arg1+ macrophages. Matched TCGA clinical samples to Arghi NSCLC lines had a significantly higher ratio of M2:M1 macrophages. Conclusions: In our preclinical model, a large panel of patient-derived NSCLC lines most frequently induced high expression Arginase-1 in co-cultured mouse macrophages, independent of major clinicopathologic and oncogenotype-related factors. Arghi cluster-matched TCGA tumors contained a higher ratio of M2:M1 macrophages. Thus, this preclinical model reproducibly characterizes how individual NSCLCs modulate macrophage phenotype, correlates with macrophage polarization in clinical samples, and can serve as an accessible platform for further investigation of macrophage-specific therapeutic strategies.

2023-04-01 | GSE200627 | GEO

Genome-wide analysis of M1 and M2 polarized macrophages with CNI-1493 treatment

2015-03-12 | GSE66805 | GEO

The effect of whole-glucan particles on the gene expression of polarized M2 bone-derived macrophages

Project description:Bone-marrow macrophages polarized to M2 phenotype are immunosuppressive. Interestingly, treatment with whole-glucan particles converts M2 macrophages to M1 phenotype with an anti-tumor phenotype. In this study, the effect of WGP treatment for 6 hours on the gene expression of M2 macrophages was assessed.

2015-10-01 | GSE71814 | GEO

Novel transcriptome signatures and markers defining murine macrophages at the extremes of the canonical M1 and M2 polarization spectrum

Project description:Classically (M1) and alternatively activated (M2) macrophages play distinct roles in various physiological and disease processes. Understanding the gene transcription programs that contribute to macrophage polarization along the M1/M2 spectrum may lead to new tools to detect and therapeutically manipulate macrophage phenotype. Here, we define the M1 and M2 macrophage signature through mRNA microarray. The M1 macrophage signature was defined by 629 up-regulated and 732 down-regulated genes while the M2 macrophage signature was formed by 388 up-regulated and 425 down-regulated genes. While a subset of probes was common to both M1 and M2 cells, others were exclusive to each macrophage subset. The common M1/M2 pathways were characterized by changes in various transcriptional regulators and signaling partners, including increases in Kruppel-like Factor (Klf) 4, but decreases in Klf2. To identify M1 and M2 biomarkers that help discriminate these populations, we selected genes that were increased during M1 or M2 differentiation but decreased in the opposite population. Among top novel M1-distinct genes, we identified CD38, G-protein coupled receptor 18 (Gpr18) and Formyl peptide receptor 2 (Fpr2). Among top M2 genes, we found early growth response protein 2 (Egr2) and Myc. We validated these genes by Real-Time PCR and developed a CD38/Egr2-based flow cytometry assay that discriminates between M1 and M2 macrophages. Overall, this work defines the M1 and M2 signature and identifies several novel M1 and M2 genes that may be used to distinguish and manipulate M1 and M2 macrophages. Total RNA was prepared from bone marrow-derived macrophages of wild-type mice (n=2-3 independent mice) treated in M0, M1 or M2 conditions (n=2-3 replicates per condition originating from different mice)

2015-12-08 | E-GEOD-69607 | biostudies-arrayexpress

Pancreatic cancer cells render metabolic reprogramming of tumor-associated macrophages through a GARP-dependent and DNA methylation-mediated mechanism

Project description:We performed whole genome RNA expression analysis by RNA sequencing on M0, M1-like macrophages and M2-like macrophages, respectively, comparing to those following co-culturing with human PDA tumor cells.We focused on the genes in the glucose metabolism pathway and oxidative phosphorylation pathway that were found to be methylated and downregulated in CAFs after co-culturing with PDA tumor cells in our previous experiment. We found that PDA tumor cells induce downregulation of metabolism genes selectively in M1 macrophages than in M2 macrophages.

2021-11-03 | GSE122502 | GEO

Blockade of C5aR1 resets M1 via gut microbiota-mediated PFKM stabilization in a TLR5-dependent manner

Project description:Increased researches show that complement, the codominant central mediator of humoral immunity, is a critical factor in tumor initiation, development, and chemotherapy resistance. C5a/C5aR1 signaling has been shown to promote tumor progression by recruiting MDSCs in breast malignancies And blockade of C5aR1 resets M1 via gut microbiota-mediated PFKM stabilization in a TLR5-dependent manner. We here report that TLR5 as a key regulator of tumor associated macrophages M1 polarization. Flagellin, the protein subunit of the bacterial flagellum, stimulates the innate immune receptor Toll-like receptor 5 (TLR5) after pattern recognition. Receptor activity was turned by a TLR5-flagellin interaction distal to the site of pattern recognition. Thus, activation of downstream signaling pathway is promoted.

2024-01-20 | GSE252048 | GEO

Gene expression data from murine M1 and M2 macrophages

Project description:Macrophages have distinct characteristics depending on their microenvironment. We performed proteomic analysis between M1 and M2 macrophages and found that cellular metabolism is the key regulator of macrophage function. We used microarray to support proteomic data between M1 and M2 macrophages. M1 macrophages are obtained using cell sorting of CD45+MHCII+CD8a-F4/80+ population from C57BL/6J bone marrow cell derived heterogenous cells under GM-CSF conditioning for 7 days. M2 macrophages are differentiated with 20% L929 cell supernatant for 7 days and sorted from CD45+F4/80+CD11b+ population.

2014-11-14 | E-GEOD-63245 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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