The Mutational Landscape of Metastatic Castration-sensitive Prostate Cancer: The Spectrum Theory Revisited
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. To characterize the somatic mutational landscape...
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          | Published in | European urology Vol. 80; no. 5; pp. 632 - 640 | 
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Switzerland
          Elsevier B.V
    
        01.11.2021
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0302-2838 1873-7560 1421-993X 1873-7560  | 
| DOI | 10.1016/j.eururo.2020.12.040 | 
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| Summary: | 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.
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.
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.
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).
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.
Somatic mutational profiles reveal a spectrum of metastatic biology that helps in redefining oligometastasis beyond a simple binary state of lesion enumeration.
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.
The frequency of putative driver mutations increases across the metastatic hormone-sensitive prostate cancer spectrum and can stratify clinical outcomes. Somatic mutational profiles help in redefining oligometastasis beyond simple lesion enumeration by providing a biological definition. | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author contributions: Phuoc T. Tran had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Supervision: Antonarakis, Berlin, Ost, Tran. Other: None. Drafting of the manuscript: Deek, Antonarakis, Berlin, Ost, Tran. Critical revision of the manuscript for important intellectual content: All authors. Acquisition of data: Deek, Tran. Statistical analysis: Deek. Administrative, technical, or material support: Deek, Tran. Obtaining funding: None. Study concept and design: Deek, Antonarakis, Berlin, Ost, Tran. Analysis and interpretation of data: Deek, Antonarakis, Berlin, Ost, Tran.  | 
| ISSN: | 0302-2838 1873-7560 1421-993X 1873-7560  | 
| DOI: | 10.1016/j.eururo.2020.12.040 |