In-Depth Comparison of Genetic Variants Demonstrates a Close Relationship Between Invasive and Intraductal Components of Prostate Cancer.


Journal

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
ISSN: 1530-0285
Titre abrégé: Mod Pathol
Pays: United States
ID NLM: 8806605

Informations de publication

Date de publication:
06 2023
Historique:
received: 31 10 2022
revised: 06 01 2023
accepted: 31 01 2023
medline: 26 6 2023
pubmed: 19 3 2023
entrez: 18 3 2023
Statut: ppublish

Résumé

Intraductal carcinoma (IDC) of the prostate is often associated with concurrent high-grade invasive prostate cancer (PCa) and poor clinical outcomes. In this context, IDC is thought to represent the retrograde spread of invasive prostatic adenocarcinoma into the acini and ducts. Prior studies have demonstrated a concordance of PTEN loss and genomic instability between the IDC and high-grade invasive components of PCa, but larger genomic association studies to solidify our understanding of the relationship between these 2 lesions are lacking. Here, we evaluate the genomic relationship between duct-confined (high-grade prostatic intraepithelial neoplasia and IDC) and invasive components of high-grade PCa using genetic variants generated by whole exome sequencing. High-grade prostatic intraepithelial neoplasia and IDC were laser-microdissected, and PCa and nonneoplastic tissue was manually dissected from 12 radical prostatectomies. A targeted next-generation sequencing panel was used to identify disease-relevant variants. Additionally, the degree of overlap between adjacent lesions was determined by comparing exome-wide variants detected using whole exome sequencing data. Our results demonstrate that IDC and invasive high-grade PCa components show common genetic variants and copy number alterations. Hierarchical clustering of genome-wide variants suggests that in these tumors, IDC is more closely related to the high-grade invasive components of the tumor compared with high-grade prostatic intraepithelial neoplasia. In conclusion, this study reinforces the concept that, in the context of high-grade PCa, IDC likely represents a late event associated with tumor progression.

Identifiants

pubmed: 36933394
pii: S0893-3952(23)00035-2
doi: 10.1016/j.modpat.2023.100130
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100130

Informations de copyright

Copyright © 2023 United States & Canadian Academy of Pathology. Published by Elsevier Inc. All rights reserved.

Auteurs

Erica Vormittag-Nocito (E)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Andres M Acosta (AM)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Shivangi Agarwal (S)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Kunwar D Narayan (KD)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Ravindra Kumar (R)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Mohamed Rizwan H Al Rasheed (MRH)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Andre Kajdacsy-Balla (A)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Frederick G Behm (FG)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.

Gayatry Mohapatra (G)

Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois. Electronic address: gayamoha@uic.edu.

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Classifications MeSH