Defining T cell states associated with response to checkpoint immunotherapy in melanoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE120575 | GEO | 2018/10/05
REPOSITORIES: GEO
Similar Datasets
Project description:Defining T cell states associated with response to checkpoint immunotherapy in melanoma
| PRJNA493623 | ENA
Project description:Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma
| PRJNA489547 | ENA
Project description:Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma
| PRJNA489548 | ENA
Project description:Treatment of cancer has been revolutionized by immune checkpoint blockade therapies. Despite the high rate of response in advanced melanoma, the majority of patients succumb to disease. To identify factors associated with success or failure of checkpoint therapy, we profiled transcriptomes of 16,291 individual immune cells from 48 tumor samples of melanoma patients treated with checkpoint inhibitors. Two distinct states of CD8+ T cells were defined by clustering and associated with patient tumor regression or progression. A single transcription factor, TCF7, was visualized within CD8+ T cells in fixed tumor samples and predicted positive clinical outcome in an independent cohort of checkpoint-treated patients. We delineated the epigenetic landscape and clonality of these T cell states and demonstrated enhanced antitumor immunity by targeting novel combinations of factors in exhausted cells. Our study of immune cell transcriptomes from tumors demonstrates a strategy for identifying predictors, mechanisms, and targets for enhancing checkpoint immunotherapy.
| S-EPMC6641984 | biostudies-literature
Project description:Tumor cell-containing Regions of Interest from 17 patients with melanoma after progression to Immune Checkpoint Blockade were profiled at the transcriptomic level.
2024-03-12 | GSE261347 | GEO
Project description:<p>Checkpoint blockade therapy using antibodies targeting CTLA4, PD1 or PDL1 have changed the way cancer patients with advanced disease are being treated, as evident by their FDA approval in a wide variety of malignancies, and their ability to induce high response rates when compared to conventional therapies (e.g. chemotherapy). However, even in melanoma, despite the high response rate, most patients are refractory to therapy or acquire resistance in 10-12 months. To identify key immunological elements coupled with response or resistance to checkpoint immunotherapy, we performed an unbiased analysis on 16,291 CD45+ immune cells from 32 patients (48 samples) treated with checkpoint therapy (anti-PD1=37; anti-PD1/CTLA4=11), using single cell transcriptomics. Initial unsupervised clustering of all CD45+ cells identified 11 clusters. When examining the association of these clusters with clinical outcome, we found that two clusters (B-cells, p=0.005; memory T-cells, p=0.03) were significantly enriched in responder lesions while 4 clusters (monocytes/macrophages, p=0.003; dendritic cells, p=0.015; exhausted CD8+ T-cells, p=0.005; and exhausted/cell-cycle lymphocytes, 1.3x10<sup>-5</sup>) are enriched in non-responder lesions. Next, by leveraging our unbiased single cell approach, we identified not only clusters but also specific markers associated with either responder lesions (PLAC8, LTB, LY9, SELL, TCF7, IGKC and CCR7) or non-responder ones (CCL3, CD38, HAVCR2, ENTPD1 and WARS), many of which were not previously reported to be associated with clinical outcome to checkpoint therapy. Due to the importance of CD8+ T-cells in controlling tumors, the significant association of T-cell states with clinical outcome, and their high abundance in melanoma tumors, we next focused our analysis on CD8+ T-cells and identified 2 main clusters CD8_G (with increased expression of genes linked to memory) and CD8_B (enriched for genes linked to cell dysfunction), that were significantly enriched in responder (CD8_G, p=1.4x10<sup>-6</sup>) and non-responder (CD8_B, p=0.005) lesions, respectively. Since cells with both states coexist in each of the responder and non-responder lesions, we decided to calculate the ratio between the number of cells in these 2 clusters and observed a significant separation between responders (CD8_G/CD8_B>1) and non-responders (CD8_G/CD8_B<1) when looking at all samples, baseline or post samples separately. Similar results were detected when looking at the expression of a single transcription factor, TCF7, in CD8 T-cells in an independent cohort (n=43) using a simple immunofluorescence assay. Additionally, we validated the identity and function of some of the newly identified cell states as well as their epigenetic landscape, and found that cells expressing the inhibitory molecules CD39 and TIM3, on top of being enriched in non-responder lesions, are likely to play a crucial role in T-cell exhaustion in melanoma. Collectively, our study provides extensive unbiased data in human tumors for discovery of predictors and therapeutic targets to checkpoint immunotherapy.</p>
| phs001680 | dbGaP
Project description:Melanoma is one of the tumor types with the highest risk of brain metastasis. However, the biology of melanoma brain metastasis and the contribution of the brain immune microenvironment to the responses to therapies remain insufficiently characterized. By using preclinical models and single-cell transcriptomics, we identify a mechanism to promote antitumor immunity in melanoma brain metastasis. We show that activation of the Rela/NF-kB pathway in microglia promotes melanoma brain metastasis and that targeting this pathway elicits microglia reprogramming towards a proinflammatory phenotype that enhances antitumor immunity and reduces brain metastatic burden. Additionally, proinflammatory microglial markers in melanoma brain metastasis correlate with better responses to immune checkpoint inhibitors in patients and we show that Rela/NF-kB targeting improves responses to these therapies in the brain. Thus, we propose targeting Rela/NF-kB in activated microglia as a strategy to promote antitumor immunity and responses to immune checkpoint inhibitors in melanoma brain metastasis.
2025-02-07 | GSE285670 | GEO
Project description:Melanoma is one of the solid tumor types with the highest risk of brain metastasis. However, the biology of melanoma brain metastasis and the contribution of the brain immune microenvironment to the responses to therapies remain insufficiently characterized. By using preclinical models and single-cell transcriptomics, we identify microglia, as critical regulators of melanoma biology in the brain. We show that activation of the Rela/NF-kB pathway in microglia promotes melanoma brain metastasis and that targeting this pathway elicits microglia reprogramming towards a pro-inflammatory phenotype that enhances anti-tumor immunity and reduces brain metastatic burden. Additionally, canonical and pro-inflammatory microglial markers in melanoma brain metastasis correlate with better responses to immune checkpoint inhibitors in patients and we show that Rela/NF-kB targeting improves responses to these therapies in the brain. Thus, we propose targeting Rela/NF-kB in activated microglia as a strategy to promote anti-tumor immunity and to improve the response to immune checkpoint inhibitors in melanoma brain metastasis.
2025-02-07 | GSE263622 | GEO
Project description:Defects in DNA damage responses may underlie genetic instability and malignant progression in melanoma. Cultures of normal human melanocytes (NHMs) and melanoma lines were analyzed to determine whether global patterns of gene expression could predict the efficacy of DNA damage cell cycle checkpoints that arrest growth and suppress genetic instability. NHMs displayed effective G1 and G2 checkpoint responses to ionizing radiation-induced DNA damage. A majority of melanoma cell lines (11/16) displayed significant quantitative defects in one or both checkpoints. Melanomas with B-RAF mutations as a class displayed a significant defect in DNA damage G2 checkpoint function. In contrast the epithelial-like subtype of melanomas with wildtype N-RAS and B-RAF alleles displayed an effective G2 checkpoint but a significant defect in G1 checkpoint function. RNA expression profiling revealed that melanoma lines with defects in the DNA damage G1 checkpoint displayed reduced expression of p53 transcriptional targets, such as CDKN1A and DDB2, and enhanced expression of proliferation-associated genes, such as CDC7 and GEMININ. A Bayesian analysis tool was more accurate than significance analysis of microarrays for predicting checkpoint function using a leave-one-out method. The results suggest that defects in DNA damage checkpoints may be recognized in melanomas through analysis of gene expression. Experiment Overall Design: Normal human melanocyte and melanoma cell lines w/wo mutations in B-raf or N-ras were treated with 1.5 Gy IR irridiartion for G1 and G2 checkpoint determination. RNA was isolated from exponentially growing cultures and applied for microarray hybridizaton with Agilent 44 K (G4112A) array.
2008-06-15 | E-GEOD-7469 | biostudies-arrayexpress
Project description:Melanoma is one of the solid tumor types with the highest risk of brain metastasis. However, the biology of melanoma brain metastasis and the contribution of the brain immune microenvironment to the responses to therapies remain insufficiently characterized. By using preclinical models and single-cell transcriptomics, we identify microglia, as critical regulators of melanoma biology in the brain. We show that activation of the Rela/NF-kB pathway in microglia promotes melanoma brain metastasis and that targeting this pathway elicits microglia reprogramming towards a pro-inflammatory phenotype that enhances anti-tumor immunity and reduces brain metastatic burden. Additionally, canonical and pro-inflammatory microglial markers in melanoma brain metastasis correlate with better responses to immune checkpoint inhibitors in patients and we show that Rela/NF-kB targeting improves responses to these therapies in the brain. Thus, we propose targeting Rela/NF-kB in activated microglia as a strategy to promote anti-tumor immunity and to improve the response to immune checkpoint inhibitors in melanoma brain metastasis.
2025-02-07 | GSE263623 | GEO