NIH R01 · 2025
An innovative integrated computational framework using gene signatures for patient stratification
Project Summary/Abstract Cancer is a very heterogeneous disease with each patient being driven by a specific set of genomic aberrations. As such, personalized treatment has been intensively investigated as a promising strategy for further improving patient prognosis. To aid personalized treatment, both genomic and expression- based biomarkers have been investigated. Somatic mutations and amplification/deletions of genes, especially driver genes, have been used to predict cancer prognosis and to preselect patients for targeted treatment. Despite some successful examples, the overall effectiveness of these genomic biomarkers remains unclear. Similarly, many gene expression-based biomarkers…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.