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Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men

UID: 10532

Author(s): Ross, Ashley E., Johnson, Michael H., Yousefi, Kasra, Davicioni, Elai, Netto , George J.*, Marchionni, Luigi, Fedor, Helen L., Glavaris, Stephanie, Choeurng, Voleak, Buerki , Christine, Erho, Nicholas, Lam, Lucia L., Humphreys, Elizabeth B., Faraj, Sheila, Bezerra, Stephania M., Han, Misop, Partin, Alan W., Trock, Bruce J., Schaeffer, Edward M. * MSK affiliated

Description
Summary from the GEO: "Radical prostatectomy (RP) is a primary treatment option for men with intermediate- and high-risk prostate cancer. Although many are effectively cured with local therapy alone, these men are by definition at higher risk of adverse pathologic features. It has been shown previously that genomic data can be used to predict tumor aggressiveness. Our objective was to evaluate genomic data and it's relationship to pathological stage and grade in a cohort of men that received no treatment other than radical prostatectomy surgery.
Retrospective case-cohort design for 260 men who underwent RP between 1992 and 2010 at intermediate or high risk and received no additional treatment until the time of metastasis. Participants met the following criteria: (1) Cancer of the Prostate Risk Assessment postsurgical (CAPRA-S) score 3; (2) pathologic Gleason score 7; and (3) post-RP prostate-specific antigen nadir
Subject of Study
Homo sapiens
Subject(s)
Gene Expression Profiling
Prostatectomy
Prostatic Neoplasms
OncoTree Cancer Type(s)
Prostate
Access via GEO

CEL and CSV of sequencing data.
Accession #: GSE79957

Access via BioProject

Additional information about overall initiative.
Accession #: PRJNA321352

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.
Ross AE, Johnson MH, Yousefi K, Davicioni E et al. Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men. Eur Urol 2016 Jan;69(1):157-65. PMID: 26058959
Data Type
Genomic
Equipment Used
Affymetrix Human Exon 1.0 ST Array
Dataset Format(s)
CSV, TAR, CEL, gzip
Dataset Size
4.9 Gb (TAR of CEL), 1,870.1 Mb (CSV)
Data Catalog Record Updated
2021-05-04