Development and Validation of a Novel Prognostic Model for Predicting Overall Survival in Treatment-naïve Castration-sensitive Metastatic Prostate Cancer.


Journal

European urology oncology
ISSN: 2588-9311
Titre abrégé: Eur Urol Oncol
Pays: Netherlands
ID NLM: 101724904

Informations de publication

Date de publication:
05 2019
Historique:
received: 18 08 2018
revised: 17 10 2018
accepted: 31 10 2018
entrez: 16 6 2019
pubmed: 16 6 2019
medline: 3 6 2020
Statut: ppublish

Résumé

There has been growth in the treatment options for castration-sensitive metastatic prostate cancer (mPCa), but without clear guidance for risk stratification. To identify clinical parameters associated with overall survival (OS) and establish a prognostic model for use with treatment-naïve castration-sensitive mPCa. A retrospective review of 304 patients treated at Kyoto University Hospital was performed. A prognostic model was created using clinical parameters associated with OS. The model was externally validated in an independent cohort of 520 patients. Multivariable analysis was performed to identify the clinical parameters associated with OS. Risk scores were calculated using Cox proportional hazards analysis for each combination of risk factors, and patients were grouped into categories based on those scores. Over 80% of the cohort had a Gleason sum score ≥8. The median OS was 53mo among patients with CHAARTED high-volume PCa (n=172) and 131mo among those with low-volume PCa (n=100). Independent factors associated with OS were extent of disease score ≥2 or the presence of liver metastasis; lactate dehydrogenase >250U/L; and a primary Gleason score of 5. The median OS for the high-, intermediate-, and low-risk groups according to the new model were 28mo, 59mo, and not reached, respectively; the corresponding values in the validation cohort were 41mo, 63mo, and not reached. Harrell's C-index was 0.649. Our simple and reproducible prognostic model for treatment-naïve castration-sensitive mPCa could aid in risk stratification and treatment selection. We identified clinical parameters associated with prognosis in castration-sensitive metastatic prostate cancer and established a reproducible prognostic model that could be used to guide treatment decisions.

Sections du résumé

BACKGROUND
There has been growth in the treatment options for castration-sensitive metastatic prostate cancer (mPCa), but without clear guidance for risk stratification.
OBJECTIVE
To identify clinical parameters associated with overall survival (OS) and establish a prognostic model for use with treatment-naïve castration-sensitive mPCa.
DESIGN, SETTING, AND PARTICIPANTS
A retrospective review of 304 patients treated at Kyoto University Hospital was performed. A prognostic model was created using clinical parameters associated with OS. The model was externally validated in an independent cohort of 520 patients.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
Multivariable analysis was performed to identify the clinical parameters associated with OS. Risk scores were calculated using Cox proportional hazards analysis for each combination of risk factors, and patients were grouped into categories based on those scores.
RESULTS AND LIMITATIONS
Over 80% of the cohort had a Gleason sum score ≥8. The median OS was 53mo among patients with CHAARTED high-volume PCa (n=172) and 131mo among those with low-volume PCa (n=100). Independent factors associated with OS were extent of disease score ≥2 or the presence of liver metastasis; lactate dehydrogenase >250U/L; and a primary Gleason score of 5. The median OS for the high-, intermediate-, and low-risk groups according to the new model were 28mo, 59mo, and not reached, respectively; the corresponding values in the validation cohort were 41mo, 63mo, and not reached. Harrell's C-index was 0.649.
CONCLUSIONS
Our simple and reproducible prognostic model for treatment-naïve castration-sensitive mPCa could aid in risk stratification and treatment selection.
PATIENT SUMMARY
We identified clinical parameters associated with prognosis in castration-sensitive metastatic prostate cancer and established a reproducible prognostic model that could be used to guide treatment decisions.

Identifiants

pubmed: 31200847
pii: S2588-9311(18)30192-5
doi: 10.1016/j.euo.2018.10.011
pii:
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

320-328

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Shusuke Akamatsu (S)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Masashi Kubota (M)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Ryuji Uozumi (R)

Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Shintaro Narita (S)

Department of Urology, Akita University Graduate School of Medicine, Akita, Japan.

Masahiro Takahashi (M)

Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Koji Mitsuzuka (K)

Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Shingo Hatakeyama (S)

Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.

Toshihiko Sakurai (T)

Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan.

Sadafumi Kawamura (S)

Department of Urology, Miyagi Cancer Center, Sendai, Japan.

Shigeto Ishidoya (S)

Department of Urology, Sendai City Hospital, Sendai, Japan.

Senji Hoshi (S)

Department of Urology, Yamagata Prefectural Central Hospital, Yamagata, Japan.

Masanori Ishida (M)

Department of Urology, Iwate Prefectural Isawa Hospital, Oshu, Japan.

Kei Mizuno (K)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan; Department of Urology, Japanese Red Cross Otsu Hospital, Otsu, Japan.

Keiji Ogura (K)

Department of Urology, Japanese Red Cross Otsu Hospital, Otsu, Japan.

Takayuki Goto (T)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Naoki Terada (N)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Takashi Kobayashi (T)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Toshinari Yamasaki (T)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Takahiro Inoue (T)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Norihiko Tsuchiya (N)

Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan.

Chikara Ohyama (C)

Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.

Yoichi Arai (Y)

Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Tomonori Habuchi (T)

Department of Urology, Akita University Graduate School of Medicine, Akita, Japan.

Satoshi Morita (S)

Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Osamu Ogawa (O)

Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan. Electronic address: ogawao@kuhp.kyoto-u.ac.jp.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH