Results 241 to 250 of about 378,224 (340)

Unplanned hospitalization among advanced prostate cancer patients by diabetes status: a population-based study. [PDF]

open access: yesJNCI Cancer Spectr
Shaver AL   +9 more
europepmc   +1 more source

The Effects of Androgens on Induced Mammary Tumours in Rats

open access: green, 1965
Stretton Young   +2 more
openalex   +1 more source

Pathology of a Canine Model of Localized Prostate Carcinoma

open access: yesThe Prostate, EarlyView.
ABSTRACT Background Dogs spontaneously develop prostate carcinoma (PC) and share prostate gland anatomy, physiology, and size to men. Over the last 15 years, we have developed and refined a canine model of focal PC to evaluate therapeutic‐diagnostic (theranostic) interventions.
Nathan K. Hoggard   +17 more
wiley   +1 more source

Factors Associated With Male Breast Cancer Incidence Among Prostate Cancer Survivors: Real World Evidence From Veterans Affairs National Prostate Cancer Data Core

open access: yesThe Prostate, EarlyView.
ABSTRACT Background While male breast cancer incidence is rare, veteran status is found to be associated with increased risk, for incidence, a higher prevalence of male breast cancer patients was observed among male veteran prostate cancer survivors.
Erum Z. Whyne   +5 more
wiley   +1 more source

Hepatic metabolism of 11-oxygenated androgens in humans: an integrated in vivo and ex vivo approach. [PDF]

open access: yesEur J Endocrinol
McDonnell T   +17 more
europepmc   +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

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