Prediction of platinum-based neoadjuvant chemotherapy response in muscle-invasive bladder cancer using a multifaceted approach
Abstract
Dataset This dataset contains gene-level RNA sequencing count matrices and associated metadata generated from bladder cancer samples analyzed in two experimental phases. The data were produced to investigate transcriptional differences in tumor samples collected during transurethral resection of bladder tumor (TUR-BT) procedures. Data Contents The repository includes: Gene-level count matrix for whole-transcriptome RNA sequencing samples (paired-end sequencing, Discovery phase-1) Gene-level count matrix for targeted RNA expression sequencing samples (single-end sequencing, Validation phase-2) Sample metadata describing sample identifiers and experimental groups All count matrices contain raw read counts and have not been normalized. Reference Genome and Annotation Human reference genome: GRCh38 primary assemblyGene annotation: GENCODE release v48 Software R v.4.4.0 Bioconductor package Rsubread (v2.18.0) featureCounts (Rsubread)
Fields of Study & Subjects
Bladder and Urothelial Cancer Treatments
Breast Cancer Treatment Studies
Gene expression and cancer classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset