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Background: Emerging data suggest that metastasis is a spectrum of disease burden rather than a binary state, and local therapies, such as radiation, might improve outcomes in oligometastasis. However, current definitions of oligometastasis are solely numerical.
Objective: To characterize the somatic mutational landscape across the disease spectrum of metastatic castration-sensitive prostate cancer (mCSPC) to elucidate a biological definition of oligometastatic CSPC.
Design, Setting, And Participants: This was a retrospective study of men with mCSPC who underwent clinical-grade sequencing of their tumors (269 primary tumor, 25 metastatic sites). Patients were classified as having biochemically recurrent (ie, micrometastatic), metachronous oligometastatic (≤5 lesions), metachronous polymetastatic (>5 lesions), or de novo metastatic (metastasis at diagnosis) disease.
Outcome Measurements And Statistical Analysis: We measured the frequency of driver mutations across metastatic classifications and the genomic associations with radiographic progression-free survival (rPFS) and time to castrate-resistant prostate cancer (CRPC).
Results And Limitations: The frequency of driver mutations in TP53 (p = 0.01), WNT (p = 0.08), and cell cycle (p = 0.04) genes increased across the mCSPC spectrum. TP53 mutation was associated with shorter rPFS (26.7 vs 48.6 mo; p = 0.002), and time to CRPC (95.6 vs 155.8 mo; p = 0.02) in men with oligometastasis, and identified men with polymetastasis with better rPFS (TP53 wild-type, 42.7 mo; TP53 mutated, 18.5 mo; p = 0.01). Mutations in TP53 (incidence rate ratio [IRR] 1.45; p = 0.004) and DNA double-strand break repair (IRR 1.61; p < 0.001) were associated with a higher number of metastases. Mutations in TP53 were also independently associated with shorter rPFS (hazard ratio [HR] 1.59; p = 0.03) and the development of CRPC (HR 1.71; p = 0.01) on multivariable analysis. This study was limited by its retrospective nature, sample size, and the use of commercially available sequencing platforms, resulting in a limited predefined set of genes examined.
Conclusions: Somatic mutational profiles reveal a spectrum of metastatic biology that helps in redefining oligometastasis beyond a simple binary state of lesion enumeration.
Patient Summary: Oligometastatic prostate cancer is typically defined as less than three to five metastatic lesions and evidence suggests that using radiation or surgery to treat these sites improves clinical outcomes. As of now, treatment decisions for oligometastasis are solely defined according to the number of lesions. However, this study suggests that tumor mutational profiles can provide a biological definition of oligometastasis and complement currently used numerical definitions.
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http://dx.doi.org/10.1016/j.eururo.2020.12.040 | DOI Listing |
Adv Radiat Oncol
October 2025
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology and Radiotherapy, Augustenburger Platz 1, 13353 Berlin, Germany.
Purpose: To evaluate the impact of an optimized online adaptive radiation therapy workflow on physician involvement.
Methods And Materials: Data from a prospective phase 2 trial involving 34 prostate cancer patients treated with cone beam computed tomography (CBCT)-based online adaptive radiation therapy (62 Gy in 20 fractions) were analyzed. Manual interventions were required for 2 steps in the workflow: radiation therapy technologist review and adjustment of automatically segmented organs, guiding target segmentation, so-called "influencer," while physicians reviewed and refined the targets.
Biochem Biophys Rep
June 2025
The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
Background: SLC16A3, a highly expressed H + -coupled symporter, facilitates lactate transport via monocarboxylate transporters (MCTs), contributing to acidosis. Although SLC16A3 has been implicated in tumor development, its role in tumor immunity remains unclear.
Methods: A pan-cancer analysis was conducted using datasets from The Cancer Genome Atlas, Cancer Cell Line Encyclopedia, and Genotype-Tissue Expression projects.
BJUI Compass
September 2025
Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine Kyoto University Kyoto Kyoto Japan.
Objectives: To develop a novel risk score (RS) model to predict the probability of progression to castration-resistant prostate cancer (PCa) (CRPC) after intensity-modulated radiation therapy (IMRT) for patients with high- and very high-risk PCa according to the National Comprehensive Cancer Network (NCCN) risk classification, since accurate prediction of the clinical outcome of definitive radiation therapy for patients with high- and very high-risk PCa remains challenging due to its heterogeneity.
Materials And Methods: We conducted a retrospective review of 600 patients with high- and very high-risk PCa treated with IMRT at our institution. They were randomly divided into discovery (n = 300) and validation (n = 300) cohorts.
Med Phys
September 2025
Department of Radiation Oncology, Mayo Clinic in Florida, Jacksonville, Florida, USA.
Background: Dose-driven continuous scanning (DDCS) enhances the efficiency and precision of proton pencil beam delivery by reducing beam pauses inherent in discrete spot scanning (DSS). However, current DDCS optimization studies using traveling salesman problem (TSP) formulations often rely on fixed beam intensity and computationally expensive interpolation for move spot generation, limiting efficiency and methodological robustness.
Purpose: This study introduces a Break Spot-Guided (BSG) method, combined with two acceleration strategies-dose rate skipping and bounding-to optimize beam intensity while minimizing beam delivery time (BDT).
Int J Cancer
September 2025
Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
A family history of prostate cancer in first-degree relatives is an established risk factor for prostate cancer, but the specific associations between prostate cancer characteristics in fathers and the risk of high-risk prostate cancer in their sons remain unclear. We identified men in Prostate Cancer data Base Sweden whose fathers had been diagnosed with prostate cancer in 1998-2005. We compared the observed number of prostate cancer diagnoses in these men with the expected number in the Swedish male population, estimating standardized incidence ratios (SIR).
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