Background: Men with prostate cancer experience adjuvant androgen deprivation therapy (ADT) differently.
Objective: To evaluate the effect of ADT on quality of life (QoL), patients' experience of clinical check-ups, and differences in cancer information as explanatory factors.
Design, Setting, And Participants: A study-specific questionnaire was sent to all men randomized in the SPCG-4 trial to radical prostatectomy (RP) or watchful waiting (WW) still alive (400/695) and a control group of 281 men.
Intervention: ADT.
Outcome Measurements And Statistical Analysis: Self-assessed QoL, worry at clinical check-ups, and amount of information received. Estimated relative risks with associated 95% confidence intervals (CI) for risk comparisons between groups using a log-binomial regression.
Results And Limitations: The SPCG-4 men had median follow-up of 12.2 yr and median age of 77.0 yr; 26% in the RP group and 40% in the WW group received ADT treatment. High QoL for men without ADT was 36% for the RP group, 44% for the WW group, and 45% for the control group. High QoL for men with ADT was 30% for the RP group and 20% for the WW group. Among men with ADT, those in the WW group received significantly less information about the disease than men in the RP group. Receiving no or little information about prostate cancer was reported by 17% of patients in the RP group and 39% in the WW group among men receiving ADT (relative risk 0.44, 95% CI 0.22-0.89). At clinical check-ups, men treated with ADT had significantly higher levels of worry, regardless of study group, than men without ADT. Limitations include the lack of longitudinal data and a low number of men receiving ADT in the RP group.
Conclusions: Men on WW without ADT reported high QoL comparable to that for men without prostate cancer. ADT treatment in the WW group was associated with the lowest scores for all psychological parameters, and these men reported that they were least informed about prostate cancer and its consequences.
Patient Summary: Good communication and information from caregivers are associated with less negative psychological effects at prostate cancer progression.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.euo.2018.03.003 | DOI Listing |
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
Ann Intern Med
January 2025
Division of Hematology and Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona.
Oncologist
January 2025
Department of Medical Oncology, Princess Margaret Hospital, Toronto, ON M5G 2M9, Canada.
Background: Metastatic castration-resistant prostate cancer (mCRPC) has a poor prognosis, necessitating the investigation of novel treatments and targets. This study evaluated JNJ-70218902 (JNJ-902), a T-cell redirector targeting transmembrane protein with epidermal growth factor-like and 2 follistatin-like domains 2 (TMEFF2) and cluster of differentiation 3, in mCRPC.
Patients And Methods: Patients who had measurable/evaluable mCRPC after at least one novel androgen receptor-targeted therapy or chemotherapy were eligible.
Mol Biotechnol
January 2025
Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Opioids are the primary regimens for perioperative analgesia with controversial effects on oncological survival. The underlying mechanism remains unexplored. This study developed survival-related gene co-expression networks based on RNA-seq and clinical characteristics from TCGA cohort.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!