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Novel metastatic burden-stratified risk model in de novo metastatic hormone-sensitive prostate cancer.

Masaki ShiotaNaoki TeradaHiroshi KitamuraTakahiro KojimaToshihiro SaitoAkira YokomizoNaoki KoheiTakayuki GotoSadafumi KawamuraYasuhiro HashimotoAtsushi TakahashiTakahiro KimuraKen-Ichi TabataRyotaro TomidaKohei HashimotoToshihiko SakuraiToru ShimazuiShinichi SakamotoManabu KamiyamaNobumichi TanakaKoji MitsuzukaTakuma KatoShintaro NaritaHiroaki YasumotoShogo TeraokaMasashi KatoTakahiro OsawaYoshiyuki NagumoHiroaki MatsumotoEnokida HidekiTakayuki SugiyamaKentaro KuroiwaTakahiro InoueMikio SugimotoTakashi MizowakiToshiyuki KamotoHiroyuki NishiyamaMasatoshi Etonull null
Published in: Cancer science (2021)
The metastatic burden is a critical factor for decision-making in the treatment of metastatic hormone-sensitive prostate cancer (HSPC). This study aimed to develop and validate a novel risk model for survival in patients with de novo low- and high-burden metastatic HSPC. The retrospective observational study included men with de novo metastatic prostate cancer who were treated with primary androgen-deprivation therapy at 30 institutions across Japan between 2008 and 2017. We created a risk model for overall survival (OS) in the discovery cohort (n = 1449) stratified by the metastatic burden (low vs high) and validated its predictive ability in a separate cohort (n = 951). Based on multivariate analyses, lower hemoglobin levels, higher Gleason grades, and higher clinical T-stage were associated with poor OS in low-burden disease. Meanwhile, lower hemoglobin levels, higher Gleason grade group, liver metastasis, and higher extent of disease scores in bone were associated with poor OS in patients with high-burden disease. In the discovery and validation cohorts, the risk model using the aforementioned parameters exhibited excellent discriminatory ability for progression-free survival and OS. The predictive ability of this risk model was superior to that of previous risk models. Our novel metastatic burden-stratified risk model exhibited excellent predictive ability for OS, and it is expected to have several clinical uses, such as precise prognostic estimation.
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