Project description:Gene profiling analysis to evaluate pre- and post-immune checkpoint therapy with tremelimumab (anti-CTLA-4) plus durvalumab (anti-PD-L1) as neoadjuvant treatment prior to radical cystectomy in MICB were analyzed using customized 749- gene Nanostring panel
Project description:Transcriptome analysis of human peripheral blood monocytes Combination therapy concurrently targeting PD-1 and CTLA-4 immune checkpoints leads to remarkable antitumor effects. Although both PD-1 and CTLA-4 dampen the T cell activation, the in vivo effects of these drugs in humans remain to be clearly defined. To better understand biologic effects of therapy, we analyzed blood/tumor tissue from patients undergoing single or combination immune checkpoint blockade. We show that blockade of CTLA-4, PD-1, or combination of the two leads to distinct genomic (changes in gene-expression profile) and functional signatures in vivo in purified human T cells and monocytes. RNA extracted from freshly isolated monocytes from peripheral blood of patients treated with either antiâPD-1 (n = 6), antiâCTLA-4 (n = 5), Combo therapy with antiâPD-1 and antiâCTLA-4 concurrently (Combo, n = 6), and Seq antiâPD-1 in patients with prior antiâCTLA-4 (Seq, n = 3) was analyzed using the Affymetrix GeneChip Human Transcriptome 2.0 exon array. No techinical replicates were performed.
Project description:Transcriptome analysis of human peripheral blood T cells Combination therapy concurrently targeting PD-1 and CTLA-4 immune checkpoints leads to remarkable antitumor effects. Although both PD-1 and CTLA-4 dampen the T cell activation, the in vivo effects of these drugs in humans remain to be clearly defined. To better understand biologic effects of therapy, we analyzed blood/tumor tissue from patients undergoing single or combination immune checkpoint blockade. We show that blockade of CTLA-4, PD-1, or combination of the two leads to distinct genomic (changes in gene-expression profile) andfunctional signatures in vivo in purified human T cells. RNA extracted from freshly isolated T cells from peripheral blood of patients treated with either antiâ??PD-1 (n = 6), antiâ??CTLA-4 (n = 5), Combo therapy with antiâ??PD-1 and antiâ??CTLA-4 concurrently (Combo, n = 6), and Seq antiâ??PD-1 in patients with prior antiâ??CTLA-4 (Seq, n = 3) was analyzed using the Affymetrix GeneChip Human Transcriptome 2.0 exon array. No techinical replicates were performed.
Project description:<p>Immune checkpoint therapies, including monoclonal antibodies to programmed cell death-1 (PD-1) and cytotoxic % lymphocyte associated protein-4 (CTLA-4), yield durable clinical responses across many tumor types, including metastatic melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC). However, predictors of response to these therapies in RCC are still unknown. Genomic characterization of large clinical cohorts of patients treated with anti-CTLA-4 and anti-PD-1 agents in melanoma and NSCLC have suggested that high mutational burden, high neoantigen burden, and high expression of certain genes in pre-treatment tumors may be associated with patient response to these therapies. In this study, we sought to investigate genomic predictors of response to anti-PD1 therapy in metastatic RCC in two independent clinical cohorts using whole exome and whole transcriptome sequencing.</p>
Project description:Pre-surgical (neoadjuvant) immune checkpoint blockade has shown promising activity in multiple cancer types, but the molecular mechanisms are not well understood. Here, we characterized early kinetic changes in tumor-infiltrating and circulating immune cells in oral cancer patients treated with neoadjuvant anti-PD-1 or anti-PD-1/CTLA-4 in a phase 2 clinical trial. Tumor-infiltrating CD8 T cells that clonally expanded during immunotherapy expressed elevated tissue-resident memory and cytotoxicity programs compared to non-responding cells. These programs were already active in pre-treatment T cells that later responded, reflecting a capacity for rapid response. Treatment also induced a systemic immune response, including expansion of pre-existing and emergent T cell clonotypes undetectable prior to therapy. The frequency of activated blood CD8 T cells, including pretreatment PD-1-positive KLRG1-negative T cells, was strongly associated with intra-tumoral pathological response, and these activated cells were enriched for tumor-infiltrating T cell clonotypes. These results demonstrate how neoadjuvant checkpoint blockade induces local and systemic tumor immunity.
Project description:This study of pre-treatment melanoma tumor samples from patients subsequently treated with combined anti-CTLA-4 and anti-PD-1 checkpoint blockade sought to identify genomic biomarkers of response to therapy. A total of 26 tumor and matched normal samples underwent whole exome sequencing.
Project description:Immune checkpoint blockade has revolutionized cancer therapy. In particular, inhibition of programmed cell death protein 1 (PD-1) is effective for the treatment of metastatic melanoma and other cancers. Despite a dramatic increase in progression-free survival, a large proportion of patients do not show durable response. Therefore, predictive biomarkers of clinical response are urgently needed. Here, we employed high-dimensional single cell mass cytometry and a bioinformatics pipeline for the in-depth characterization of the immune cell subsets in the peripheral blood of metastatic melanoma patients before and after anti-PD-1 immunotherapy. During therapy, we observed a clear treatment response to immunotherapy in the T cell compartment. However, prior to commending therapy a strong predictor of progression free and overall survival in response to anti-PD-1 immunotherapy was the frequency of CD14+CD16-HLA-DRhi monocytes. We could confirm this by conventional flow cytometry in an independent validation cohort and propose this as a novel predictive biomarker for therapy decisions in the clinic. In order to determine whether there are cell intrinsic changes in the monocyte signature, we performed RNA sequencing on sorted CD14+CD16-HLA-DRhi cells from HD, NR and R at baseline. Representative samples (n=4, each) of responders/non responders/ and healthy donors were selected from archival samples stored in the dermatology biobank according to the same clinical criteria used in the discovery and validation cohorts for CyTOF and FACS analysis. CD14+CD16-HLA-DRhiLin- (CD3, CD4, CD19, CD45RO) monocytes were sorted from frozen PBMC form blood samples from HD, R and NR at baseline.
Project description:To comprehensively characterize the changes within the TME during TREM1 deficiency and anti-PD-1 immune checkpoint blockade therapy, we performed scRNA-seq analysis of the CD45+ TICs in melanoma-bearing C57BL/6 mice receiving the various treatments. We analyzed approximately 8,249 CD45+ cells from the treatment groups with t-SNE analysis, identifying 10 distinct clusters of tumor-infiltrating immune cells
Project description:We hypothesized that there are distinct signatures in chromatin of circulating CD8+ T cells depending on their response to anti-PD-1 therapy due to their long-term interaction with the internal stimuli, such as with tumor and its microenvironment, and external stimuli, such as with infectious diseases. To identify unique chromatin regions predicting the clinical outcome of PD-1 therapy, we performed an assay for transposase-accessible chromatin sequencing (ATAC-seq) using blood samples of patients enrolled in PD-1 therapy. From the analysis of ATAC-seq data, we identified quantitatively distinct open regions of chromatin that distinguishes responders from non-responders to PD-1 therapy. We demonstrated for the first time that epigenetic characteristics of pre-treatment CD8+ T cells further identifies GC patients who may benefit from immune checkpoint inhibitors (ICIs) in addition to tumor profiling status.
Project description:The ability to modulate immune-inhibitory pathways using checkpoint blockade antibodies such as PD-1, PD-L1, and CTLA-4 represents a significant breakthrough in cancer therapy in recent years. This has driven interest in identifying small-molecule-immunotherapy combinations to increase the proportion of responses. Murine syngeneic models, which have a functional immune system, represent an essential tool for pre-clinical evaluation of new immunotherapies. However, immune response varies widely between models and the translational relevance of each model is not fully understood, making selection of an appropriate pre-clinical model for drug target validation challenging. Utilizing RNAseq transcriptomic profiling, we have characterised the changes in gene regulatory pathways and immune populations in CT26 mice after treatment with the combination of anti-PD-L1 and anti-CTLA-4 antibodies. At day 7 post tumor implant, the pathways analysis of differentially expressed genes indicated an enrichment for migration of leukocytes in response to inflammation and communication between innate and adaptive immune cells. Similarly, analysis of upstream regulators suggested that lipopolysaccharide, IL-1B, TNF, IFNG, and NFKB1A pathways associated with inflammation were activated. At day 14, pathways related T-helper cell signalling pathways were upregulated. In addition, upstream regulators of the lipopolysaccharide and IFNG pathway, as well STAT1 and IL21 pathway were enriched, indicative of innate and adaptive immune response to inflammation.