Project description:RNA extracted from the post 72 hour cultured tumor samples from 31 patients with head and neck squamous cell carcinoma treated Nivolumab and Nivolumab+Ipilimumab was analyzed on the nCounter system using the Pan cancer IO360 panel.
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.
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.
Project description:The purpose of this study is to evaluate the safety, dose, immunogenicity and early clinical activity of GRT-C901 and GRT-R902, a personalized neoantigen cancer vaccine, in combination with nivolumab and ipilimumab, in patients with metastatic non-small cell lung cancer, microsatellite stable colorectal cancer, gastroesophageal adenocarcinoma, and metastatic urothelial cancer.
Project description:Recent evidence suggests that immune checkpoint blockade (ICB) has some activity in metastatic dedifferentiated liposarcoma (DDLPS) and undifferentiated pleomorphic sarcoma (UPS). We conducted a randomized, non-comparative phase 2 trial (NCT03307616) of nivolumab or nivolumab/ipilimumab in patients with resectable retroperitoneal DDLPS (n=17) and extremity/truncal UPS (n=10), with UPS patients receiving concurrent radiation therapy. The primary endpoint of pathologic response as assessed by percent hyalinization was observed to be a median of 8.8% in DDLPS patients and 89% in UPS patients and similar in nivolumab and ipilimumab/nivolumab arms in both cohorts . Higher intratumoral densities of T-regulatory cells were associated with absence of pathologic response (hyalinization<30%). Tumor infiltration by B-cells was associated with higher densities of T-regulatory cells before treatment; this association was lost upon ICB treatment. Our data demonstrate that neoadjuvant ICB with concurrent radiation may have significant efficacy in UPS and is associated complex immune changes in the tumor microenvironment in DDLPS and UPS.
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
Project description:CM214 - Biomarker Analysis From the Phase 3 CheckMate 214 Trial of Nivolumab Plus Ipilimumab (N+I) or Sunitinib (S) in Advanced Renal Cell Carcinoma (aRCC)
