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

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

PROVIDER: PRJNA892949 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR22006200.fastq.gz	Fastqsanger.gz
	SRR22006300.fastq.gz	Fastqsanger.gz
	SRR22006400.fastq.gz	Fastqsanger.gz
	SRR22006201.fastq.gz	Fastqsanger.gz
	SRR22006301.fastq.gz	Fastqsanger.gz

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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.

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Screening on Platelet Non-coding RNA Expression Profiles Discloses Its Correlations with Low Residual Platelet Reactivity

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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.

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Project description:Plasma from 245 patients with advanced NSCLC who received nivolumab as second-line therapy was collected and analyzed. EV-miRnome was profiled on 174/245 patients by microarray platform and selected EV-miRs were validated by qPCR. A prognostic model combining EV-miR and clinical variables was built using stepwise Cox regression analysis and tested on an independent patient cohort (71/245). EV-PD-L1 gene copy number was assessed by digital PCR. For 54 patients with disease control, EV-miR changes at best response versus baseline were investigated by microarray and validated by qPCR. EV-miRNome profiling at baseline identified two EV-miR (miR-181a-5p, miR-574-5p) that, combined with performance status, are capable of discriminating patients unlikely from those that are likely to benefit from immunotherapy (median overall survival of 4 months or higher than 9 months, respectively). EV-PD-L1 digital evaluation reported higher baseline copy number in patients at increased mortality risk, without improving the prognostic score. Best response EV-miRNome profiling selected six deregulated EV-miRs (miR19a-3p, miR-20a-5p, miR-142-3p, miR-1260a, miR-1260b, miR-5100) in responding patients. Their longitudinal monitoring highlighted a significant downmodulation already in the first treatment cycles, which lasted more than six months. Grantee: Simona Coco Grantor: Italian Ministry of Health Grant ID: CO-2016-02361470 Grant Title: Exosomal miRNA signature as prognostic marker in advanced non-small cell lung cancer (NSCLC) patients treated with Nivolumab

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