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Updated: Jun 26, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Integrative Genomic Profiling of Newly Diagnosed Prostate Cancers Progressing on Surveillance
Nichelle C Whitlock1, Rebecca Silver2, Shana Y Trostel1
1Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD.
Objective:
To identify molecular features associated with earlier progression to definitive therapy amongst patients with localized prostate cancer (PCa) managed on active surveillance (AS).
Methods:
We performed a retrospective pilot study of 7 patients with low- to intermediate-risk PCa undergoing serial multiparametric MRI (mpMRI)-targeted biopsies of the same lesion while on AS, who all proceeded to definitive therapy. Time-to-treatment (TTT) was defined as years from first biopsy on AS to definitive therapy. Laser-capture microdissection was used to separate tumor epithelium, benign glands, high-grade prostatic intraepithelial neoplasia, and stroma in each biopsy specimen. DNA from the tumor and matched benign tissue underwent whole-exome sequencing, and RNA from all compartments underwent whole-transcriptome sequencing. Somatic mutations and copy-number alterations were compared across serial biopsies and used to reconstruct phylogenies and quantify clonal complexity.
Results:
Tumors exhibited substantial intratumoral heterogeneity, and in 3 of 6 paired cases, serial mpMRI-targeted biopsies showed discordant somatic profiles consistent with sampling distinct major clones over time. By contrast, no single gene-level alteration, and few large-scale chromosomal events, were associated with TTT. High clonal complexity, defined as ≥3 subclones, was associated with significantly shorter TTT than low complexity (median 1.9 vs 7.2 years; P = .0082). Exploratory pathway analyses of individual tissue components suggested TTT-associated differences in inflammatory signaling and stromal-epithelial cross-talk.
Conclusion:
In this small, hypothesis-generating cohort, clonal complexity was more closely associated with earlier definitive therapy than individual genomic alterations. Larger prospective studies are needed to validate whether multiomic measures of clonal architecture can improve AS risk stratification.

