Literature DB >> 22372862

Measurement of peri-prostatic fat thickness using transrectal ultrasonography (TRUS): a new risk factor for prostate cancer.

Bimal Bhindi1, Greg Trottier, Malik Elharram, Kimberly A Fernandes, Gina Lockwood, Ants Toi, Karen M Hersey, Antonio Finelli, Andrew Evans, Theodorus H van der Kwast, Neil E Fleshner.   

Abstract

UNLABELLED: Study Type - Prognosis (cohort) Level of Evidence 2b. What's known on the subject? and What does the study add? ADIPOSE tissue secretes various endocrine and paracrine mediators. Some authors have begun to consider whether peri-prostatic fat (PPF) may interact with the prostate and play a role in carcinogenesis. It has recently been shown that the PPF quantity measured by CT is associated with more aggressive disease in patients undergoing radiation therapy. Our group studied a population not yet diagnosed with prostate cancer. By doing so we were able to identify PPF thickness on transrectal ultrasonography as a risk factor for prostate cancer detection upon biopsy, and as a risk factor for high-grade disease. Our study also raises interesting questions about the underlying mechanisms of the association between PPF quantity and prostate cancer.
OBJECTIVE: To determine if the amount of peri-prostatic fat (PPF) on transrectal ultrasonography (TRUS) is a risk factor for incident prostate cancer overall and high-grade prostate cancer (Gleason ≥4). PATIENTS AND METHODS: A prospectively maintained database of patients undergoing prostate biopsy at Princess Margaret Hospital for cancer suspicion was used. • All TRUS examinations were retrospectively reviewed upon 'blinding' to outcome. • PPF thickness, measured as the distance between the prostate and the pubic bone, was used as an index of the quantity of PPF. • PPF measurements, together with other prostate cancer risk factors, were evaluated against prostate cancer and high-grade prostate cancer detection upon biopsy with univariable and multivariable logistic regression and area under the receiver operating characteristic curve (AUC) analysis.
RESULTS: Of the 931 patients, 434 (47%) were diagnosed with prostate cancer and 218 (23%) were diagnosed with high-grade prostate cancer. • The mean (range) PPF thickness was 5.3 (0-15) mm. • Increasing PPF thickness was associated with prostate cancer and high-grade prostate cancer diagnosis, with graded effect. When adjusting for other variables, the odds of detecting any prostate cancer and high-grade prostate cancer increased 12% (odds ratio [OR] 1.12, 95% confidence interval [CI] 1.02-1.23) and 20% (OR 1.20, 95% CI 1.07-1.34), respectively, for each millimetre increase in PPF thickness. • The AUCs for the association of PPF with prostate cancer and high-grade prostate cancer were 0.58 (95% CI 0.54-0.62) and 0.59 (95% CI 0.55-0.64), respectively.
CONCLUSION: The amount of PPF can be estimated with TRUS and is a predictor of prostate cancer and high-grade prostate cancer at biopsy. To our knowledge, this study is the first to investigate PPF quantity in patients without prior prostate cancer diagnosis.
© 2012 BJU INTERNATIONAL.

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Year:  2012        PMID: 22372862     DOI: 10.1111/j.1464-410X.2012.10957.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  16 in total

1.  Supplemental estrogen and caloric restriction reduce obesity-induced periprostatic white adipose inflammation in mice.

Authors:  Priya Bhardwaj; Takahiro Ikeda; Xi Kathy Zhou; Hanhan Wang; Xi Emily Zheng; Dilip D Giri; Olivier Elemento; Akanksha Verma; Miki Miyazawa; Sushmita Mukherjee; Domenick J Falcone; Nils K Wendel; Douglas S Scherr; Andrew J Dannenberg
Journal:  Carcinogenesis       Date:  2019-07-20       Impact factor: 4.944

2.  Pre-treatment ratio of periprostatic to subcutaneous fat thickness on MRI is an independent survival predictor in hormone-naïve men with advanced prostate cancer.

Authors:  Takeshi Sasaki; Yusuke Sugino; Manabu Kato; Kouhei Nishikawa; Hideki Kanda
Journal:  Int J Clin Oncol       Date:  2019-10-15       Impact factor: 3.402

3.  Prostate cancer: periprostatic fat is a risk factor for prostate cancer detection.

Authors:  Sarah Payton
Journal:  Nat Rev Urol       Date:  2012-03-20       Impact factor: 14.432

Review 4.  The emerging role of obesity, diet and lipid metabolism in prostate cancer.

Authors:  Matteo Ferro; Daniela Terracciano; Carlo Buonerba; Giuseppe Lucarelli; Danilo Bottero; Sisto Perdonà; Riccardo Autorino; Alessandro Serino; Francesco Cantiello; Rocco Damiano; Iulia Andras; Sabino De Placido; Giuseppe Di Lorenzo; Michele Battaglia; Barbara A Jereczek-Fossa; Vincenzo Mirone; Ottavio De Cobelli
Journal:  Future Oncol       Date:  2016-09-14       Impact factor: 3.404

5.  Impact of Obesity on Complications of Laparoscopic Simple or Radical Nephrectomy.

Authors:  Nicolas Arfi; Arnaud Baldini; Myriam Decaussin-Petrucci; Rene Ecochard; Alain Ruffion; Philippe Paparel
Journal:  Curr Urol       Date:  2015-09-04

6.  Combination of body mass index and oxidized low density lipoprotein receptor 1 in prognosis prediction of patients with squamous non-small cell lung cancer.

Authors:  Long Jiang; Shanshan Jiang; Yongbin Lin; Han Yang; Zerui Zhao; Zehua Xie; Yaobin Lin; Hao Long
Journal:  Oncotarget       Date:  2015-09-08

7.  Obesity does not promote tumorigenesis of localized patient-derived prostate cancer xenografts.

Authors:  Jennifer C Y Lo; Ashlee K Clark; Natasha Ascui; Mark Frydenberg; Gail P Risbridger; Renea A Taylor; Matthew J Watt
Journal:  Oncotarget       Date:  2016-07-26

8.  The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer.

Authors:  Yudong Cao; Min Cao; Yuke Chen; Wei Yu; Yu Fan; Qing Liu; Ge Gao; Zheng Zhao; Xiaoying Wang; Jie Jin
Journal:  Oncotarget       Date:  2017-07-04

9.  Influence of body mass index and periprostatic fat on rectal dosimetry in permanent seed prostate brachytherapy.

Authors:  David Tiberi; Nelson Gruszczynski; Aliza Meissner; Guila Delouya; Daniel Taussky
Journal:  Radiat Oncol       Date:  2014-04-14       Impact factor: 3.481

Review 10.  Linking obesogenic dysregulation to prostate cancer progression.

Authors:  Renea A Taylor; Jennifer Lo; Natasha Ascui; Matthew J Watt
Journal:  Endocr Connect       Date:  2015-12       Impact factor: 3.335

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