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Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence

This study evaluated the effect of body composition and pelvic fat distribution on the aggressiveness and prognosis of localized prostate cancer. This study included patients who underwent robot-assisted radical prostatectomy with positive surgical margins. Clinicodemographic data were collected fro...

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Autores principales: Chien, Yu-Hsuan, Hsieh, Ming-Li, Sheng, Ting-Wen, Chang, Ying-Hsu, Wang, Li-Jen, Chuang, Cheng-Keng, Pang, See-Tong, Wu, Chun-Te, Shao, I-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542672/
https://www.ncbi.nlm.nih.gov/pubmed/36221433
http://dx.doi.org/10.1097/MD.0000000000031076
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author Chien, Yu-Hsuan
Hsieh, Ming-Li
Sheng, Ting-Wen
Chang, Ying-Hsu
Wang, Li-Jen
Chuang, Cheng-Keng
Pang, See-Tong
Wu, Chun-Te
Shao, I-Hung
author_facet Chien, Yu-Hsuan
Hsieh, Ming-Li
Sheng, Ting-Wen
Chang, Ying-Hsu
Wang, Li-Jen
Chuang, Cheng-Keng
Pang, See-Tong
Wu, Chun-Te
Shao, I-Hung
author_sort Chien, Yu-Hsuan
collection PubMed
description This study evaluated the effect of body composition and pelvic fat distribution on the aggressiveness and prognosis of localized prostate cancer. This study included patients who underwent robot-assisted radical prostatectomy with positive surgical margins. Clinicodemographic data were collected from patients’ medical reports. Pretreatment magnetic resonance images (MRI) obtained for cancer staging were reviewed by a single radiologist to calculate pelvic fat distribution and body composition. We correlated these body composition parameters with initial prostate-specific antigen (iPSA), Gleason score, extracapsular tumor extension, and biochemical recurrence (BCR)–free survival. The iPSA was significantly associated with body mass index (BMI; P = .027), pelvic fat volume (P = .004), and perirectal fat volume (P = .001), whereas the Gleason score was significantly associated with BMI only (P = .011). Tumor extracapsular extension was significantly associated with increased periprostatic fat volume (P = .047). Patients with less subcutaneous fat thickness (<2.4 cm) had significantly poor BCR–free survival (P = .039). Pelvic fat distribution, including pelvic fat volume, perirectal fat volume, and periprostatic fat volume, were significantly correlated with prostate cancer aggressiveness. Patients with less subcutaneous fat had an increased risk of BCR after radical prostatectomy.
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spelling pubmed-95426722022-10-11 Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence Chien, Yu-Hsuan Hsieh, Ming-Li Sheng, Ting-Wen Chang, Ying-Hsu Wang, Li-Jen Chuang, Cheng-Keng Pang, See-Tong Wu, Chun-Te Shao, I-Hung Medicine (Baltimore) Research Article This study evaluated the effect of body composition and pelvic fat distribution on the aggressiveness and prognosis of localized prostate cancer. This study included patients who underwent robot-assisted radical prostatectomy with positive surgical margins. Clinicodemographic data were collected from patients’ medical reports. Pretreatment magnetic resonance images (MRI) obtained for cancer staging were reviewed by a single radiologist to calculate pelvic fat distribution and body composition. We correlated these body composition parameters with initial prostate-specific antigen (iPSA), Gleason score, extracapsular tumor extension, and biochemical recurrence (BCR)–free survival. The iPSA was significantly associated with body mass index (BMI; P = .027), pelvic fat volume (P = .004), and perirectal fat volume (P = .001), whereas the Gleason score was significantly associated with BMI only (P = .011). Tumor extracapsular extension was significantly associated with increased periprostatic fat volume (P = .047). Patients with less subcutaneous fat thickness (<2.4 cm) had significantly poor BCR–free survival (P = .039). Pelvic fat distribution, including pelvic fat volume, perirectal fat volume, and periprostatic fat volume, were significantly correlated with prostate cancer aggressiveness. Patients with less subcutaneous fat had an increased risk of BCR after radical prostatectomy. Lippincott Williams & Wilkins 2022-10-07 /pmc/articles/PMC9542672/ /pubmed/36221433 http://dx.doi.org/10.1097/MD.0000000000031076 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle Research Article
Chien, Yu-Hsuan
Hsieh, Ming-Li
Sheng, Ting-Wen
Chang, Ying-Hsu
Wang, Li-Jen
Chuang, Cheng-Keng
Pang, See-Tong
Wu, Chun-Te
Shao, I-Hung
Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence
title Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence
title_full Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence
title_fullStr Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence
title_full_unstemmed Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence
title_short Body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence
title_sort body composition and pelvic fat distribution are associated with prostate cancer aggressiveness and can predict biochemical recurrence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542672/
https://www.ncbi.nlm.nih.gov/pubmed/36221433
http://dx.doi.org/10.1097/MD.0000000000031076
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