Targeted next-generation sequencing of advanced prostate cancer identifies potential therapeutic targets and disease

Himisha Beltran1, Roman Yelensky, Garrett M Frampton

  • 1Department of Medicine, Division of Hematology and Medical Oncology, Weill Medical College of Cornell University, New York, NY 10065, USA.

European Urology
|September 18, 2012
PubMed
Abstract

Insights

This study shows that next-generation sequencing (NGS) of archival prostate cancer (PCa) tissue is feasible. The analysis revealed frequent genomic alterations in advanced PCa, offering new insights for personalized treatment strategies.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Personalized cancer care relies on DNA sequencing, but access to metastatic tissue is limited.
  • Evaluating the genome of advanced prostate cancer (PCa) is challenging due to tissue accessibility issues.

Purpose of the Study:

  • To demonstrate the feasibility of a novel next-generation sequencing (NGS)-based platform for analyzing archival formalin-fixed paraffin-embedded (FFPE) biopsy tissue.
  • To evaluate the spectrum of DNA alterations in advanced PCa using FFPE samples.

Main Methods:

  • FFPE samples from 45 patients with localized, hormone-naive metastatic, and castration-resistant PCa (CRPC) were analyzed.
  • DNA was extracted from FFPE samples and subjected to hybridization capture and NGS.
  • A total of 3320 exons and 37 introns were evaluated for genomic alterations.

Main Results:

  • High sequencing depth (>900X) was achieved from FFPE samples.
  • Genomic alterations were common in advanced PCa, including androgen receptor (AR) gene alterations (44% of CRPCs), TMPRSS2:ERG fusion (44%), PTEN loss (44%), and TP53 mutation (40%).
  • Alterations in DNA repair genes (BRCA2, ATM) and actionable rearrangements (BRAF) were also identified.

Conclusions:

  • This study proves the feasibility of in-depth DNA analysis using FFPE tissue for advanced PCa.
  • The findings provide new insights into the genomic landscape of advanced PCa, supporting personalized treatment approaches.

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