Prostate cancer in young men represents a distinct clinical phenotype: gene expression signature to predict early metastases.

ABSTRACT:

Aim

Several genomic signatures are available to predict Prostate Cancer (CaP) outcomes based on gene expression in prostate tissue. However, no signature was tailored to predict aggressive CaP in younger men. We attempted to develop a gene signature to predict the development of metastatic CaP in young men.

Methods

We measured genome-wide gene expression for 119 tumor and matched benign tissues from prostatectomies of men diagnosed at ≤ 50 years and > 70 years and identified age-related differentially expressed genes (DEGs) for tissue type and Gleason score. Age-related DEGs were selected using the improved Prediction Analysis of Microarray method (iPAM) to construct and validate a classifier to predict metastasis using gene expression data from 1,232 prostatectomies. Accura

SUBMITTER: Ding YC 

PROVIDER: S-EPMC8081383 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature