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Updated: Nov 22, 2025

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
The Mutational Landscape of Metastatic Castration-sensitive Prostate Cancer: The Spectrum Theory Revisited
Matthew P Deek1, Kim Van der Eecken2, Ryan Phillips1
1Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Tumor mutation profiles can redefine oligometastatic prostate cancer, moving beyond simple lesion counts. This research highlights genetic markers associated with disease progression, offering a more nuanced understanding of metastatic castration-sensitive prostate cancer (mCSPC).
Area of Science:
- Oncology
- Genomics
- Prostate Cancer Research
Background:
- Metastasis is increasingly viewed as a disease spectrum, not a binary state.
- Oligometastasis, a state of limited metastatic burden, may benefit from local therapies.
- Current definitions of oligometastasis rely solely on numerical lesion counts.
Purpose of the Study:
- To characterize the somatic mutational landscape in metastatic castration-sensitive prostate cancer (mCSPC).
- To identify a biological definition of oligometastatic CSPC based on mutational profiles.
- To correlate genomic alterations with disease progression and outcomes.
Main Methods:
- Retrospective analysis of mCSPC patients undergoing clinical-grade tumor sequencing.
- Classification of patients into biochemically recurrent, oligometastatic, polymetastatic, or de novo metastatic groups.
- Assessment of driver mutation frequencies and their association with radiographic progression-free survival (rPFS) and time to castrate-resistant prostate cancer (CRPC).
Main Results:
- Driver mutations in TP53, WNT, and cell cycle genes increased across the mCSPC spectrum.
- TP53 mutations were linked to shorter rPFS and time to CRPC in oligometastatic disease.
- TP53 and DNA double-strand break repair mutations correlated with a higher number of metastases and poorer outcomes.
Conclusions:
- Somatic mutational profiles offer a biological definition of metastatic disease spectrum.
- This approach can complement numerical definitions of oligometastasis.
- Genomic insights may refine treatment strategies for mCSPC.
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