Predictors of Progression to Castration-resistant Prostate Cancer After Radical Prostatectomy in High-risk Prostate Cancer Patients

Patients in high Grade Group and short prostate-specific antigen doubling time after radical prostatectomy are more likely to develop resistance to salvage hormonal therapy.

Authors

Institutions

Publication Details

Journal
Cancer Diagnosis & Prognosis
Published
2024-09-01
DOI
https://doi.org/10.21873/cdp.10376
Citations
5
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
2.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of Progression to Castration-resistant Prostate Cancer After Radical Prostatectomy in High-risk Prostate Cancer Patients

Yoshinobu Komai, Ryo Fujiwara, Yosuke Yasuda, Junji Yonese et al.
5 citations
Cancer Diagnosis & Prognosis
Prostate Cancer Treatment and Research
2.09
article

Predictors of Progression to Castration-resistant Prostate Cancer After Radical Prostatectomy in High-risk Prostate Cancer Patients

Yoshinobu Komai, Ryo Fujiwara, Yosuke Yasuda, Junji Yonese, Noboru Numao, Takeshi Yuasa, Shinya Yamamoto, Tomohiko Oguchi, TAKATO NISHINO
article en
5 citations

Abstract

Patients in high Grade Group and short prostate-specific antigen doubling time after radical prostatectomy are more likely to develop resistance to salvage hormonal therapy.

Cancer Diagnosis & PrognosisVol. 4(5)
Cancer Institute (WIA) (IN), Japanese Foundation For Cancer Research (JP)
Good health and well-being
Openalex Percentile: Top 12%
Prostate Cancer Treatment and Research
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.