Faculty, Staff and Student Publications
Publication Date
5-13-2024
Journal
Cancer Cell
Abstract
Saliby et al. show that a machine learning approach can accurately classify clear cell renal cell carcinoma (RCC) into distinct molecular subtypes using transcriptomic data. When applied to tumors biospecimens from the JAVELIN Renal 101 (JR101) trial, a benefit is observed with immune checkpoint inhibitor (ICI)-based therapy across all molecular subtypes.
Keywords
Carcinoma, Renal Cell, Humans, Kidney Neoplasms, Immunotherapy, Immune Checkpoint Inhibitors, Molecular Targeted Therapy, Treatment Outcome, Machine Learning
DOI
10.1016/j.ccell.2024.03.002
PMID
38579722
PMCID
PMC11130783
PubMedCentral® Posted Date
5-13-2025
PubMedCentral® Full Text Version
Author MSS
Published Open-Access
yes
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons