PRECOG - PREdiction of Clinical Outcomes from Genomic Profiles
We assembled, curated, and integrated cancer gene expression and clinical outcome data from the
public domain into a new resource for PREdiction of Clinical Outcomes from Genomic profiles (or PRECOG).
PRECOG encompasses 166 cancer expression data sets, including overall survival data for ~18,000 patients
diagnosed with 39 distinct malignancies. For more information, please refer to our publication by Gentles/Newman
et al. in Nature Medicine (2015).
PRECOG Datasets
Meta-Z Analysis
Individual Datasets Analysis
iPRECOG - immune PREdiction of Clinical Outcomes from Genomic Profiles
iPRECOG applies CIBERSORT to PRECOG datasets using immune cell specific gene expression profiles, deconvolving their contributions in each patient’s tumor sample. These inferred immune fractions can then be associated with patient outcome in different malignancies, similarly to how PRECOG relates raw gene expression to survival.
iPRECOG signature matrix
iPRECOG meta-Z matrix
iPRECOG cancer-specific immune fractions
About
Please find below old PRECOG (and TCGA) data. New studies may have been added to current tables.
File
Description
Size
Probe-level results (including FDRs) for individual studies/subsets in PRECOG, prior to collapsing to gene symbols. See header of files for details
1.28 GB
Overall survival times and outcomes for studies (0=ALIVE; DEAD=1 for censoring status)
482 KB
Matrix of gene-level Z-scores for individual studies/subset of studies in PRECOG
23.8 MB
Z-score matrix for TCGA RNA-seq datasets ordered by gene the same as the main PRECOG matrix
12.2 MB
Visualize meta-Z analysis across PRECOG
Columns can be sorted by clicking on the cancer name in the table header.
Z-score to P-value
iPRECOG Signature Matrix - LM22
iPRECOG meta-Z matrix
Z-score to P-value
iPRECOG cancer-specific immune fractions
Individual Datasets Analysis
Visualize Z-scores across individual PRECOG datasets
Z-score to P-value
Visualize survival Z-scores across TCGA RNA-Seq datasets
Z-score to P-value
Contact
agentles at stanford dot edu
amnewman at stanford dot edu
cll at stanford dot edu
sylvia dot plevritis at stanford dot edu
arasha at stanford dot edu