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

Authors :
Shiota M
Terada N
Kitamura H
Kojima T
Saito T
Yokomizo A
Kohei N
Goto T
Kawamura S
Hashimoto Y
Takahashi A
Kimura T
Tabata KI
Tomida R
Hashimoto K
Sakurai T
Shimazui T
Sakamoto S
Kamiyama M
Tanaka N
Mitsuzuka K
Kato T
Narita S
Yasumoto H
Teraoka S
Kato M
Osawa T
Nagumo Y
Matsumoto H
Enokida H
Sugiyama T
Kuroiwa K
Inoue T
Sugimoto M
Mizowaki T
Kamoto T
Nishiyama H
Eto M
Source :
Cancer science [Cancer Sci] 2021 Sep; Vol. 112 (9), pp. 3616-3626. Date of Electronic Publication: 2021 Jul 10.
Publication Year :
2021

Abstract

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.<br /> (© 2021 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.)

Details

Language :
English
ISSN :
1349-7006
Volume :
112
Issue :
9
Database :
MEDLINE
Journal :
Cancer science
Publication Type :
Academic Journal
Accession number :
34145921
Full Text :
https://doi.org/10.1111/cas.15038