Publication
Integrated Genomic Analysis of Primary Prostate Tumor Foci and Corresponding Lymph Node Metastases Identifies Mutations and Pathways Associated with Metastasis
Downloadable Content
- Persistent URL
- Last modified
- 06/17/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2023-11-30
- Publisher
- MDPI
- Publication Version
- Copyright Statement
- © 2023 by the authors.
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 15
- Issue
- 23
- Start Page
- 5671
- Grant/Funding Information
- This work was supported by NIH grants R21-CA256375 and U01-CA113913. Research reported in this publication was supported in part by the Emory University Integrated Genomics Core (EIGC) of the Winship Cancer Institute of Emory University and NIH/NCI under award number, 2P30CA138292-04.
- Supplemental Material (URL)
- Abstract
- Prostate cancer is a highly heterogeneous disease and mortality is mainly due to metastases but the initial steps of metastasis have not been well characterized. We have performed integrative whole exome sequencing and transcriptome analysis of primary prostate tumor foci and corresponding lymph node metastases (LNM) from 43 patients enrolled in clinical trial. We present evidence that, while there are some cases of clonally independent primary tumor foci, 87% of primary tumor foci and metastases are descended from a common ancestor. We demonstrate that genes related to oxidative phosphorylation are upregulated in LNM and in African-American patients relative to White patients. We further show that mutations in TP53, FLT4, EYA1, NCOR2, CSMD3, and PCDH15 are enriched in prostate cancer metastases. These findings were validated in a meta-analysis of 3929 primary tumors and 2721 metastases and reveal a pattern of molecular alterations underlying the pathology of metastatic prostate cancer. We show that LNM contain multiple subclones that are already present in primary tumor foci. We observed enrichment of mutations in several genes including understudied genes such as EYA1, CSMD3, FLT4, NCOR2, and PCDH15 and found that mutations in EYA1 and CSMD3 are associated with a poor outcome in prostate cancer.
- Author Notes
- Keywords
- Research Categories
- Biology, Genetics
- Health Sciences, Oncology
- Biology, Molecular
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Publication File - wc958.pdf | Primary Content | 2025-06-06 | Public | Download |