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Validation of a genomic classifier for prediction of metastasis following postoperative radiation therapy.

UID: 10533

Author(s): Zhao, Shuang G., Evans, Joseph R., Kothari, Vishal, Sun, Grace, Larm, Ashley, Mondine, Victor, Schaeffer, Edward M., Ross, Ashley E., Klein, Eric A., Den, Robert B., Dicker, Adam P., Karnes, R Jeffrey, Erho, Nicholas, Nguyen, Paul L., Davicioni, Elai, Feng, Felix Y.

Description
Summary from the GEO: The purpose of the dataset is "To test the hypothesis that a genomic classifier (GC) would predict biochemical failure (BF) and distant metastasis (DM) in men receiving radiation therapy (RT) after radical prostatectomy (RP).
139 primary prostate cancer tumor (radical prostatectomy, FFPE) specimins from patients at TJU who recieved post-RP radiation therapy."
Samples from the GEO2R depict Group, Accession, Title, Source name, pathologic gleason score, Age, Pathologic state, and Preoperative psa.
Subject of Study
Homo sapiens
Subject(s)
Prostatectomy
Prostatic Neoplasms
Radiotherapy
OncoTree Cancer Type(s)
Prostate
Access via GEO

CEL sequencing data.
Accession #: GSE72291

Access via BioProject

Additional information about overall initiative.
Accession #: PRJNA293672

Access Restrictions
Free to All
Access Instructions
The NCBI Gene Expression Omnibus, SRA, and BioProject databases provide open access to these files.
Associated Publications
Adams E, Karthaus W, Hoover E, et al. FOXA1 mutations alter pioneering activity, differentiation and prostate cancer phenotypes. Nature. 2019; 571(7765):408-412.
Zhao SG, Evans JR, Kothari V, Sun G et al. The Landscape of Prognostic Outlier Genes in High-Risk Prostate Cancer. Clin Cancer Res 2016 Apr 1;22(7):1777-86. PMID: 26631616
Data Type
Genomic
Equipment Used
Affymetrix Human Exon 1.0 ST Array
Dataset Format(s)
TAR, CEL
Dataset Size
2.7 Gb (TAR of CEL)
Data Catalog Record Updated
2021-11-23