The impact of the number of prior androgen receptor pathway inhibitors before cabazitaxel treatment in patients with metastatic castration-resistant prostate cancer

PSA response, PFS, and OS after CAZ administration did not significantly differ based on the number of prior ARPIs. CAZ efficacy appears consistent regardless of the number of prior ARPI sequences.

Authors

Institutions

Publication Details

Journal
Japanese Journal of Clinical Oncology
Published
2025-02-23
DOI
https://doi.org/10.1093/jjco/hyaf034
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of the number of prior androgen receptor pathway inhibitors before cabazitaxel treatment in patients with metastatic castration-resistant prostate cancer

Yuki Masuo, Junichi Ikeda, Hisanori Taniguchi, Hidefumi Kinoshita
Japanese Journal of Clinical Oncology
Prostate Cancer Treatment and Research
article

The impact of the number of prior androgen receptor pathway inhibitors before cabazitaxel treatment in patients with metastatic castration-resistant prostate cancer

Yuki Masuo, Junichi Ikeda, Hisanori Taniguchi, Hidefumi Kinoshita
article en

Abstract

PSA response, PFS, and OS after CAZ administration did not significantly differ based on the number of prior ARPIs. CAZ efficacy appears consistent regardless of the number of prior ARPI sequences.

Japanese Journal of Clinical OncologyVol. 55(6)
Kansai Medical University (JP)
Good health and well-being
Openalex Percentile: Top 95%
Prostate Cancer Treatment and Research
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.