Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Monitoring Nivolumab binding as a method to clarify the residual therapeutic effects and to characterize the immune profile in antibody bound T cells in previously treated non-small cell lung cancer patients

ABSTRACT: The goal of this study is to evaluate immune profile in anti PD-1 antibody, Nivolumab, bound CD8 T cells vs Nivolumab unbound CD8 T cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE100860 | GEO | 2018/10/05

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Biopsies from advanced melanoma before and/or after treatment with nivolumab

Project description:Expression profiling of tumor samples obtained during CA209-038 (ClinicalTrials.gov Identifier: NCT01621490). The purpose of this study is to evaluate pharmacodynamic changes of nivolumab and nivolumab in combination with ipilimumab treatment on the biomarkers measured in the peripheral blood and tumor tissues of subjects with advanced melanoma (unresectable or advanced). Samples are rumor core needle biopsies obtained at trial enrolment (i.e. Screen) and/or at Cycle 1 Day 29 (i.e.Week 4) from Subjects With Advanced Melanoma (Unresectable or Metastatic) treated with nivolumab (BMS-936558,MDX-1106) 3 mg/kg solution intravenously every 2 weeks on Bristol-Myers Squibb clinical trial protocol CA209-038 Part 1 . Cohort 2 patients have progressed on anti-CTLA4 (ipilimumab) monoclonal antibody therapy. Values are from an interim lock of the trial data in July 2014. Best overall response (BOR) was defined using RECIST 1.1 criteria: tumor assessments between date of first dose and the date of first objectively documented progression, or the date of non-missing subsequent anti-cancer therapy (whichever occurs first) were used to derive BOR. MPCT is Maximum reduction in tumor size (index lesions only) up to first progression, and is the value typically shown on a waterfall plot.

2022-01-01 | E-MTAB-4030 | biostudies-arrayexpress

Immunomodulatory response to neoadjuvant nivolumab in non-metastatic clear cell renal cell carcinoma

Project description:Novel perioperative strategies are needed to reduce recurrence rates in patients undergoing nephrectomy for high-risk, non-metastatic clear cell renal cell carcinoma (ccRCC). We conducted a prospective, phase I trial of neoadjuvant nivolumab prior to nephrectomy in 15 evaluable patients with non-metastatic ccRCC. We leveraged tissue from that cohort to elucidate the effects of PD-1 inhibition on immune cell populations in ccRCC and correlate the evolving immune milieu with anti-PD-1 response. We found that nivolumab durably induces a pro-inflammatory state within the primary tumor, and baseline immune infiltration within the primary tumor correlates with nivolumab responsiveness. Nivolumab increases CTLA-4 expression in the primary tumor, and subsequent nephrectomy increases circulating concentrations of sPD-L1, sPD-L3 (sB7-H3), and s4-1BB. These findings form the basis to consider neoadjuvant immune checkpoint inhibition (ICI) for high-risk ccRCC while the tumor remains in situ and provide the rationale for perioperative strategies of novel ICI combinations.

2023-12-18 | GSE245372 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of tumor samples from HCC patients receiving Nivolumab.

Project description:To identify critical tumor-secreting factors that may contribute to immunotherapy efficacy against HCC, we subjected tumor samples from 10 HCC patients to whole-transcriptome sequencing, and categorized the patients into two groups according to clinical response to nivolumab. We then performed gene expression profiling analysis using data obtained from RNA-seq of Nivolumab reponders and non-reponsers.

2023-12-06 | GSE215011 | GEO

Biopsies from metastatic Clear Cell Renal Carcinoma before or after treatment with nivolumab

Project description:Tumor core needle biopsies from kidney or metastatic sites obtained at trial enrollment i.e. Screen and/or at Cycle 2 Day 8 (i.e.Week 4) from metastatic clear cell RCC patients treated with 0.2mpk, 3mpk or 10mpk (as 2nd or further line of therapy; Arms A,B,C) or 10mpk (as first line therapy; Arm D) of nivolumab (BMS-936558,MDX-1106) on Bristol-Myers Squibb clinical trial protocol CA209-009.

2016-05-15 | E-MTAB-3218 | biostudies-arrayexpress

Blood RNA from metastatic Clear Cell Renal Carcinoma patients before or after treatment with nivolumab

Project description:Blood samples obtained at Cycle 1 Day 1, Cycle 1 Day 2 or at Cycle 2 Day 8 (i.e. before treatment, 24 hours after treatment or Week 4) from metastatic clear cell RCC patients treated with 0.2mpk, 3mpk or 10mpk (as 2nd or further line of therapy; Arms A,B,C) or 10mpk (as first line therapy; Arm D) of nivolumab (BMS-936558,MDX-1106) on Bristol-Myers Squibb clinical trial protocol CA209-009.

2016-05-15 | E-MTAB-3219 | biostudies-arrayexpress

Expression data from patients with HCC receiving Nivolumab

Project description:We have generated an immune classifier able to identify patients belonging to the immune subclass of HCC. Characteristics of the immune subclass resemble those of patients who most respond to immunotherapy. We performed microarray expression of the tumors of two patients before starting treatment with nivolumab to verify if the immune classifier generated was able to predict response to immunotherapy.

2018-01-31 | GSE93647 | GEO

Blood platelet RNA profiles do not enable for nivolumab response prediction at baseline in patients with non-small-cell lung cancer

Project description:We report RNA-sequencing data of 286 platelet RNA samples isolated from non-small cell lung cancer patients (NSCLC) that were at baseline for nivolumab immunotherapy. This dataset was employed to test the hypothesis that platelet RNA at baseline of nivolumab treatment predicts immune responses.

2023-07-10 | GSE216297 | GEO

A pilot study of the Bruton's tyrosine kinase inhibitor ibrutinib in combination with nivolumab in patients with metastatic solid tumors

Project description:Background: Preclinical work has demonstrated that ibrutinib inhibits the generation, migration and immunosuppressive function of myeloid-derived suppressor cells (MDSC). A pilot study tested the combination of ibrutinib and nivolumab in patients with metastatic solid tumors. Methods: Sixteen patients with metastatic solid malignancies were treated with ibrutinib (420 mg) daily and nivolumab (240 mg) IV on days 1 and 15 of 28 day cycles. Ibrutinib dosing started 7 days before cycle 1 of nivolumab and was given until cycle 1, day 8 of nivolumab. The effect of ibrutinib alone and in combination with nivolumab on circulating MDSC and immune subsets and cytokine/chemokine levels were measured. Single-cell RNA and TCR sequencing was also performed. Results: The most common treatment-related AEs were fatigue (31%) and anorexia (31%). Five patients had a clinical response (4 partial, 1 complete). Four patients had stable disease at 3 months. Median progression-free survival was 3.5 months and median overall survival 10.8 months. MDSC levels increased following 7 days of single-agent ibrutinib compared to baseline (21.91% vs. 27.67%). There was increased T cell proliferation in response (33.9% vs. 40.06%, p<0.01) to the combination regimen. Plasma levels of CCL2, CCL3, CCL4, CCL13, IL- 8, and VEGF-α decreased with ibrutinib treatment. Ibrutinib treatment altered the transcriptional state of the myeloid cell compartment and led to increased cancer-associated TCR clonotypes. Conclusion: The combination of ibrutinib and nivolumab was well tolerated and ibrutinib significantly impacted MDSC and T cell function in patients with solid metastatic tumors.

2022-06-24 | GSE178882 | GEO

Sitravatinib Plus Nivolumab in Patients Undergoing Nephrectomy for Locally Advanced Clear Cell Renal Cell Carcinoma

Project description:Sitravatinib is an immunomodulatory tyrosine kinase inhibitor that can augment responses when combined with programmed death-1 (PD-1) inhibitors such as nivolumab. We report a phase 2 study of neoadjuvant sitravatinib in combination with nivolumab in patients with locally advanced clear cell renal cell carcinoma (ccRCC) prior to curative nephrectomy (NCT03680521). The primary endpoint was objective response rate (ORR) prior to surgery with a null hypothesis ORR = 5% and the alternative hypothesis set at ORR = 30%. Secondary endpoints included correlative immune effects and disease-free survival (DFS). Twenty patients were evaluable for safety and 17 for efficacy. The ORR was 11.8%, and 24-month DFS probability was 88·0% (95% CI 61.0 to 97.0). There were no grade 4/5 treatment-related adverse events. Correlative blood and tissue analyses showed changes in the tumour microenvironment resulting in an immunologically active tumour by the time of surgery. These data suggest that short-term neoadjuvant sitravatinib and nivolumab does not substantially increase ORR but can modulate the immune microenvironment and yield high DFS probabilities in patients with locally advanced ccRCC.

2022-09-06 | GSE212525 | GEO

RNA sequensing data of a phase 2 clinical trial of pancreatic ductal adenocarcinoma treated with entinostat in combination with nivolumab

Project description:We conducted a single-center, open-label, Simon two-stage, phase II study of entinostat in combination with the PD1 inhibitor nivolumab in patients with advanced pancreatic ductal adenocarcinoma. Patients received oral entinostat 5 mg once a week. After a 14-day lead-in with entinostat monotherapy, patients concurrently receive entinostat 5 mg orally once a week plus nivolumab 240 mg intravenously until the time of progression or unacceptable toxicities.

2024-07-29 | GSE248014 | 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