% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-documentation.R
\docType{data}
\name{pdac}
\alias{pdac}
\title{Processed TCGA PAAD dataset (pdac)}
\format{
A data frame with rows corresponding to patients and columns as described above.
}
\source{
\doi{10.1016/j.ccell.2017.07.007}
}
\usage{
pdac
}
\description{
A reduced and cleaned subset of the TCGA pancreatic ductal adenocarcinoma (PAAD)
dataset, derived from The Cancer Genome Atlas (TCGA) PAAD cohort. This version,
\code{pdac}, is smaller and simplified for practical analyses and package examples.
}
\details{
This dataset was originally compiled and curated in the open-source \code{pdacR}
package by Torre-Healy et al. (2023), which harmonized and integrated the TCGA
PAAD gene expression and clinical data. The current version further reduces and
simplifies the data for efficient modeling demonstrations and survival analyses.

The data frame includes:
\itemize{
\item \strong{time}: Overall survival time in months.
\item \strong{status}: Event indicator; 1 = event occurred, 0 = censored.
\item \strong{treatment}: Binary treatment indicator; 1 = radiation therapy, 0 = control.
\item \strong{age}: Age at initial pathologic diagnosis (numeric).
\item \strong{sex}: Binary sex indicator; 1 = male, 0 = female.
\item \strong{grade}: Tumor differentiation grade (ordinal; 1 = well, 2 = moderate, 3 = poor, 4 = undifferentiated).
\item \strong{tumor.cellularity}: Tumor cellularity estimate (numeric).
\item \strong{tumor.purity}: Tumor purity class (binary; 1 = high, 0 = low).
\item \strong{absolute.purity}: Absolute purity estimate (numeric).
\item \strong{moffitt.cluster}: Moffitt transcriptional subtype (binary; 1 = basal-like, 0 = classical).
\item \strong{meth.leukocyte.percent}: DNA methylation leukocyte estimate (numeric).
\item \strong{meth.purity.mode}: DNA methylation purity mode (numeric).
\item \strong{stage}: Nodal stage indicator (binary; 1 = n1, 0 = n0).
\item \strong{lymph.nodes}: Number of lymph nodes examined (numeric).
\item \strong{Driver gene columns}: Expression values of key driver genes (e.g., KRAS, TP53, CDKN2A, SMAD4, BRCA1, BRCA2).
\item \strong{Other gene columns}: Expression values of ~3,000 most variable non-driver genes (based on median absolute deviation).
}
}
\references{
\itemize{
\item Raphael BJ, et al. "Integrated genomic characterization of pancreatic ductal adenocarcinoma." Cancer Cell. 2017 Aug 14;32(2):185–203.e13. PMID: 28810144.
\item Torre-Healy LA, Kawalerski RR, Oh K, et al. "Open-source curation of a pancreatic ductal adenocarcinoma gene expression analysis platform (pdacR) supports a two-subtype model." Communications Biology. 2023; https://doi.org/10.1038/s42003-023-04461-6.
\item The Cancer Genome Atlas (TCGA), PAAD project, DbGaP: phs000178.
}
}
\keyword{datasets}
