Ontology highlight
ABSTRACT:
PROVIDER: PRJNA639866 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12030700_1.fastq.gz | Fastqsanger.gz | |||
| SRR12030700_2.fastq.gz | Fastqsanger.gz | |||
| SRR12030701_1.fastq.gz | Fastqsanger.gz | |||
| SRR12030701_2.fastq.gz | Fastqsanger.gz | |||
| SRR12030702_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 239 |
Similar Datasets
Project description:Pre- Treatment Mutational and Transcriptomic Landscape of Responding Metastatic Melanoma Patients to Anti-PD1 Immunotherapy
| PRJNA608935 | ENA
Project description:Both genomic and transcriptomic signatures have been developed to predict responses of metastatic melanoma to immune checkpoint blockade (ICB) therapies; however, most of these signatures were derived from pre-treatment biopsy samples. Here, we developed pathway-based signatures that predict response of metastatic melanoma to anti-PD1-based therapies in four independent datasets with RNAseq and clinical response data available for both pre- and on-treatment metastatic melanomas. We first identified pathway signatures that were significantly enriched in tumor specimens from anti-PD1 responders (R) compared to non-responders (NR) at pre-treatment and on-treatment time points, respectively. We also identified pathway signatures that were differentially expressed in pre-treatment versus on-treatment samples derived from R. Finally, we interrogated the capacity of the two types of signatures in predicting response of metastatic melanoma to anti-PD1 therapies in comparison with existing gene expression signatures. And we also investigated the effect of biopsy sites at the same biopsy time point on predictive performance of response to anti-PD1 therapy. Overall, we demonstrate that pathway-based signatures derived from on-treatment tumor specimens are highly predictive of response to anti-PD1 blockade therapies in patients with metastatic melanoma.
2021-08-15 | GSE168204 | GEO
Project description:Immunotherapy, such as anti-PD1, has improved the survival of patients with metastatic melanoma; However, predicting which patients will respond to immunotherapy is still unknown. In this study we analyzed pre-immunotherapy treated tumors from 52 patients with metastatic melanoma and monitored their response based on RECIST 1.1 criteria. The responders group contained 21 patients that had a complete or partial response, while the 31 non-responders had stable or progressive disease. Whole exome sequencing (WES) was used to identify biomarkers of anti-PD1 response from somatic mutations between the two groups. Variants in codons G34 and G41 in NFKBIE, a negative regulator of NF-kB, were found exclusively in the responders. NKBIE-related genes within the responder group were also enriched compared to the non-responders. Patients that harbored NFKBIE-related gene mutations also had a higher mutational burden, decreased tumor volume with treatment, and increased progression-free survival. RNA sequencing on a subsection of tumor samples identified differential expression of the TNFA signaling via NFKB pathway, which includes CD83. By overexpressing NFKBIEG34E we were able to demonstrate this mutation is related to increased NF-kB activity, including increased CD83 protein expression when compared with the wildtype. These results suggest that increased NF-kB signaling as a consequence of an NFKBIE mutation may contribute to a favorable anti-PD1 treatment response, including a possible novel role of CD83 in solid tumors.
2020-08-07 | GSE145996 | GEO
Project description:Immunotherapy and targeted therapy dramatically changed the treatment of metastatic melanoma. Yet, many patients do not respond to these treatments and improve the understanding of response and resistance is an urgent need. Thus, we utilized mass spectrometry-based proteomic analysis of 185 metastatic melanoma samples. Metastases from different sites demonstrate differences in cellular processes such as immune, metabolism, translation and proliferation. Complementary epidemiology analysis uncovers prognosis variance between different metastases locations after treated with anti-PD1. Examination of lung melanoma metastases reveals clinical and molecular heterogeneity that mainly reflected in immune-related processes. Analysis of BRAF mutation status and prior treatments with MAPK inhibitors also indicate differences in immune and metabolic processes and suggest a molecular basis for the combination of immunotherapy and targeted therapy. These results shed new light into biology and therapeutic resistant mechanisms and the pathogenesis of metastatic melanoma.
2020-12-23 | PXD020618 | Pride
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>
| phs001493 | dbGaP
Project description:Treatment with immunotherapy, particularly immune checkpoint blockade, can lead to benefit in the clinical setting. However, many preclinical and clinical studies suggest that resistance to anti-PD1 treatment frequently occurs, resulting in tumor relapse and treatment failure in cancer including hepatocellular carcinoma (HCC) patients. In this study ,10 HCC patients were treated with anti-PD1, and the biopsy samples before treatment were used for 289 nanostring panel RNA sequencing to compare responding and non-responding tumors to find possible pretreatment biomarkers or targets of the anti-PD1 therapy response
2022-06-20 | GSE198190 | GEO
Project description:In this comprehensive study, the authors have developed concise models integrating clinical, genomic and transcriptomic features to predict intrinsic resistance to anti-PD1 Immune Checkpoint Blockade (ICB) treatment in individual tumors. It's important to note that their validation was performed in smaller, independent cohorts, constrained by data availability. The authors have developed two Logistic Regression based models for Ipilimumab treated and Ipilimumab naive patients with metastatic melanoma. The main predictive features for the Ipilimumab treated patients are MHC-II HLA, LDH at treatment initiation and the presence of lymph node metastases (LN met), chosen using forward selection methodology. The main predictive features for the Ipilimumab naive patients are tumor heterogeneity, tumor ploidy and tumor purity, chosen using forward selection methodology.
Please note that in these models, the output ‘1’ means progressive disease (PD) and ‘0’ means non-PD. The original GitHub repository can be accessed at https://github.com/vanallenlab/schadendorf-pd1
2023-11-17 | MODEL2310150001 | BioModels
Project description:Cancers evade the immune system in order to grow or metastasise through the process of cancer immunoediting. While checkpoint inhibitor therapy has been effective for reactivating tumour immunity in some cancers, many solid cancers, including breast cancer, remain largely non-responsive. Understanding the way non-responsive cancers evolve to evade immunity, what resistance pathways are activated and whether this occurs at the clonal level will improve immunotherapeutic design. We tracked cancer cell clones during the immunoediting process and determined clonal transcriptional profiles that allow immune evasion in murine mammary tumour growth in response to immunotherapy with anti-PD1 and anti-CTLA4. Clonal diversity was significantly restricted by immunotherapy treatment at both the primary and metastatic sites. These findings demonstrate that immunoediting selects for pre-existing breast cancer cell populations, that immunoediting is not a static process and is ongoing during metastasis and immunotherapy treatment. Isolation of immunotherapy resistant clones revealed unique and overlapping transcriptional signatures. The overlapping gene signature was predictive of poor survival in basal-like breast cancer patient cohorts. Some of these overlapping genes have existing small molecules which can be used to potentially improve immunotherapy response.
2021-09-01 | E-MTAB-10027 | biostudies-arrayexpress
Project description:Patients with advanced melanoma have shown an improved outlook after receiving anti-PD1 therapy, but the low response rate restricts clinical benefit; therefore, enhancing anti-PD1 therapy efficacy remains a major challenge. Here, our findings show significantly higher abundance of α-KG in healthy controls, anti-PD1-sensitive melanoma-bearing mice, and anti-PD1-sensitive melanoma patients; moreover, supplementation with α-KG enhanced the efficacy of anti-PD1 immunotherapy and increased PD-L1 expression in melanomas via STAT1/3. We also found that supplementation with α-KG significantly increased methylcytosine dioxygenase TET2/3, which led to an increased 5-hydroxymethylcytosine (5-hmC) level in the PD-L1 promoter. As a consequence, STAT1/3 had been recognized and stabilized in PD-L1 promoter to upregulate PD-L1 expression. Importantly, single-cell sequencing of preclinical samples and analysis of clinical data revealed that the TET2/3-STAT1/3-CD274 signaling was associated with sensitivity to anti-PD1 treatment in melanoma. Taken together, we provide a novel insight into α-KG's function in melanoma anti-PD1 treatment and supplement of α-KG is a novel promising strategy to improve the efficacy of anti-PD1 therapy.
2023-03-08 | GSE223110 | GEO
Project description:<p>Although immune checkpoint blockade (CPB) leads to prolonged responses in 15-40% of patients with metastatic melanoma, treatment refractory disease and progression after initial response remain major causes of mortality. While predictors of response have been reported, the common mechanisms of both primary and acquired resistance are poorly understood. To identify mechanisms of resistance and examine the evolving landscape in response to CPB, we performed whole exome sequencing (WES), immunohistochemistry (IHC), and RNA-sequencing (RNAseq) of longitudinal tumor biopsies from 17 metastatic melanoma patients treated with various CPB therapies. We found no significant changes in both mutational and neoantigen loads over time between responders and nonresponders. However, we identified abnormalities in one gene, beta-2-microglobulin (<i>B2M</i>), an essential component of MHC Class I antigen presentation, that were present in samples during disease progression but not regression. In total, we identified <i>B2M</i> aberrations in 29.4% of patients, including multiple early frameshift mutations, loss of heterozygosity (LOH) overlapping <i>B2M</i>, and absence of tumor-specific <i>B2M</i> protein expression. Additional defects in the antigen presentation and IFNγ pathways were identified but were not restricted to progressing lesions in our cohort. In two independent cohorts of 105 and 38 melanoma patients treated with ipilimumab (anti-CTLA4) and pembrolizumab (anti-PD1) respectively, we found that <i>B2M</i> LOH was enriched 3-fold in nonresponders (~30%) vs. responders (~10%) and associated with poorer overall survival (log-rank p=0.01, p=0.006). Loss of both copies of <i>B2M</i> was found only in nonresponders. We also found evidence for association of LOH overlapping <i>IFNGR1</i> with poorer overall survival exclusively in the anti-PD1 cohort. Thus, <i>B2M</i> loss is likely a common mechanism of primary and acquired resistance to therapies targeting CTLA4 or PD-1.</p>
| phs001427 | dbGaP