cBioPortal for Cancer Genomics is an open-source platform for interactive, exploratory analysis of large-scale clinicogenomic
data.
The site (https://www.cbioportal.org) hosts data from >390 studies from individual labs and large consortia, including
AACR Project GENIE, which contains >197,000 clinically sequenced samples with clinical annotations like response,
outcome, and treatment history.
A suite of user-friendly visualizations and analyses, including OncoPrints, mutation lollipop plots, variant interpretation,
group comparison, survival analysis, expression correlation analysis, alteration enrichment analysis, and cohort and patientlevel
visualization, enable comprehensive exploration of these data.
cBioPortal is an open source, collaborative effort among groups at Memorial Sloan Kettering Cancer Center, Dana-Farber
Cancer Institute, Childrens Hospital of Philadelphia, Princess Margaret Cancer Centre, Caris Life Sciences, Bilkent University
and The Hyve.
An Artificial Intelligence (AI) model integrating multiscale foundation model histopathology representations with molecular and clinical features predicts early and late distant recurrence in TAILORx
Abstract We developed and validated IICM+, a multimodal model integrating clinicopathologic variables, transcriptomic features, and multiscale histopathology-derived image representations to predict distant recurrence in hormone… […]
Optimization of first-line treatment selection in advanced pancreatic adenocarcinoma using artificial intelligence
Abstract Improved clinical outcomes are reported for patients with advanced pancreatic adenocarcinoma (PDAC) treated with first-line FOLFIRINOX/NALIRIFOX, but elderly patients with comorbidities are more often… […]
