AI Article Synopsis

  • LHRH-antagonist Degarelix was studied in prostate cancer patients to assess its impact on body composition, specifically fat and lean body mass, over 12 months.
  • A significant increase in fat body mass (FBM) was observed, while lean body mass (LBM) remained stable, indicating a tendency towards obesity without loss of muscle mass.
  • The study also found changes in serum markers, including increased glycated hemoglobin and decreased follicle-stimulating hormone (FSH), suggesting potential links between FSH levels and obesity in prostate cancer management.

Article Abstract

Background: Luteinizing hormone-releasing hormone (LHRH)-agonists in prostate cancer (PCa) patients induce sarcopenic obesity. The effect of LHRH-antagonist on body composition has never been explored. We evaluated changes in fat (FBM) and lean body mass (LBM) in PCa patients undergoing Degarelix.

Methods: This is a single-center prospective study, enrolling 29 non-metastatic PCa patients eligible to LHRH-antagonist from 2017 to 2019. All patients received monthly subcutaneous injection of Degarelix for 12 months. Changes in FBM and LBM between baseline and 12-month Degarelix, as measured by dual-energy x-ray absorptiometry, were the co-primary endpoints. Secondary endpoints were changes in serum lipids, glucose profile and follicle-stimulating hormone (FSH). Appendicular lean mass index (ALMI) and ALMI/FBM ratio were assessed as post-hoc analyses. Linear mixed models with random intercept tested for estimated least squared means differences (EMD).

Results: FBM significantly increased after 12 months (EMD +2920.7, +13.8%, p < 0.001), whereas LBM remained stable (EMD -187.1, -0.3%, p = 0.8). No differences occurred in lipid profile. Glycated hemoglobin significantly increased and serum FSH significantly decreased. A significant inverse relationship was found between serum FSH and ALMI/FBM ratio after 12 month (r = -0.44, p = 0.02).

Conclusions: The BLADE study prospectively evaluated changes in body composition after LHRH-antagonist. LHRH-antagonist therapy is associated to an increased risk of obesity and diabetes, but lean body mass and serum lipids are not affected. This may represent an additional evidence supporting the reduced cardiovascular risk associated with LHRH-antagonist. The role of FSH in influencing sarcopenic obesity in PCa after androgen deprivation deserves to be further explored.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958940PMC
http://dx.doi.org/10.1038/s41391-021-00345-0DOI Listing

Publication Analysis

Top Keywords

pca patients
12
body composition
8
prostate cancer
8
patients
5
changes
4
changes body
4
composition lipid
4
lipid profile
4
profile prostate
4
cancer patients
4

Similar Publications

Objective: The objective of this study is to analyse the perspectives of screening candidates and healthcare professionals on shared decision-making (SDM) in prostate cancer (PCa) screening using the prostate-specific antigen (PSA) test.

Design: Descriptive qualitative study (May-December 2022): six face-to-face focus groups and four semistructured interviews were conducted, transcribed verbatim and thematically analysed using ATLAS.ti software.

View Article and Find Full Text PDF

Prostate cancer (PCa) is prevalent among men over 70. Treatment may involve interventions like radical prostatectomy. The objective of this study was to investigate the combination of adverse pathology patterns on PCa progression through the Briganti 2012 nomogram and EAU risk classes in elderly patients treated with robotic surgery.

View Article and Find Full Text PDF

To establish a machine learning (ML) model for predicting prostate biopsy outcomes using prostate-specific antigen (PSA) values, multiparametric magnetic resonance imaging (mpMRI) findings, and hematologic parameters. The medical records of the patients who had undergone a prostate biopsy were evaluated. Laboratory findings, mpMRI findings, and prostate biopsy results were collected.

View Article and Find Full Text PDF

: We constructed a prediction model to predict a 2-year locoregional recurrence based on the clinical features and radiomic features extracted from the machine learning method using computed tomography (CT) before definite chemoradiotherapy (dCRT) in locally advanced esophageal cancer. : A total of 264 patients (156 in Beijing, 87 in Tianjin, and 21 in Jiangsu) were included in this study. All those locally advanced esophageal cancer patients received definite radiotherapy and were randomly divided into five subgroups with a similar number and divided into training groups and validation groups by five cross-validations.

View Article and Find Full Text PDF

Localized high-risk (HR) prostate cancer (PCa) is a heterogeneous disease whose likelihood of a biochemical recurrence, metastatic progression and cancer-related mortality after initial treatment is higher when compared with patients with low (LR) or intermediate-risk (IR) disease. In the past, neoadjuvant therapy has shown an improvement in postoperative oncological variables but failed to demonstrate any survival advantages. With the promising results from novel treatments in metastatic and non-metastatic castration resistant PCa settings, new evidence has appeared in the literature in the neoadjuvant setting.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!