Results 121 to 130 of about 19,533 (266)

Intratumoral Androgens and Genetic Variants Driving Therapy Resistance in Prostate Cancer. [PDF]

open access: yesResearch (Wash D C)
Ye J   +9 more
europepmc   +1 more source

Genomic and Clinical Impact of Smoking on Therapeutic Outcomes in Prostate Cancer: A Public Databases Analysis

open access: yesThe Prostate, EarlyView.
ABSTRACT Background In prostate cancer (PCa), smoking history is associated with more aggressive clinicopathological features, reduced efficacy of androgen deprivation therapy, and poorer overall survival (OS). However, its impact on survival outcomes in patients receiving taxane chemotherapy, poly ADP‐ribose polymerase inhibitor (PARPi), or immune ...
Tomoya Hatayama   +16 more
wiley   +1 more source

Corticosteroid Use and Risk of Adverse Events in Metastatic Hormone‐Sensitive Prostate Cancer

open access: yesThe Prostate, EarlyView.
ABSTRACT Background Among the approved therapies for metastatic hormone‐sensitive prostate cancer (mHSPC), abiraterone and docetaxel are administered concomitantly with corticosteroids. This study evaluated the association between corticosteroid use and risk of adverse events among patients with mHSPC. Methods We conducted an observational cohort study
Umang Swami   +8 more
wiley   +1 more source

The Prognostic Significance of Radiographic Progression Without PSA Progression in Patients With Metastatic Hormone‐Sensitive Prostate Cancer Treated With First‐Line ARPI Therapy

open access: yesThe Prostate, EarlyView.
ABSTRACT Background Radiographic progression (RP) without prostate‐specific antigen (PSA) elevation has emerged as a clinically important pattern in the androgen receptor pathway inhibitors (ARPI) era, but its prevalence and prognostic significance in real‐world metastatic hormone‐sensitive prostate cancer (mHSPC) cohorts remain unclear.
Takeshi Tsutsumi   +27 more
wiley   +1 more source

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy