Non-invasive prediction of immunotherapy response (NIPIT) project

This project aims to find transcriptomic biomarkers for immunotherapy response prediction in several cancer types. So far, we have performed poly-A RNA-seq using whloe blood and peripheral blood mononuclear cells from 33 non-small cell lung cancer patients, collected before and after the start of immunotherapy.

Type: Transcriptome Sequencing
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000000389	This dataset contains 228 paired fastq files sequenced with Illumina Novaseq 6000, and the file with the sample and clinical data.	Illumina NovaSeq 6000	114

Publications	Citations
Defining the optimal setting for transcriptomic analyses on blood samples for response prediction in immunotherapy-treated NSCLC patients. Marcos Rubio Á, Oh S, Roelandt S, Stevens D, Van Damme E, Vermaelen K, De Preter K, Everaert C. Sci Rep 14: 2024 26026	0