Abstract
Background
Epidemiological studies have shown an association between obesity and prostate cancer (PCa) aggressiveness. However, little is known about periprostatic fat (PPF) and its relationship with overall fat deposition in PCa. PPF is thought to contribute to PCa growth and migration via secreted factors and induction of chronic inflammation. We investigated if pre-treatment PPF thickness correlates with overall survival (OS).
Methods
We reviewed 85 hormone-naïve men with advanced PCa who had received androgen deprivation therapy (ADT). PPF thickness was measured by magnetic resonance imaging (MRI) and compared with subcutaneous fat (SCF) thickness as an internal control. Visceral fat (VF) area measured by computed tomography served as an additional control. We evaluated the relationship between laboratory data, pathology results, and obesity parameters and OS.
Results
Median follow-up was 50.6 months. Thirty-six patients died during follow-up. Univariate analysis revealed that nadir PSA titer, Gleason score, N stage, M stage, extent of disease by bone scan grade, hemoglobin, lactate dehydrogenase, alkaline phosphatase, and PPF/SCF ratio were associated with OS. Multivariate analysis revealed that nadir PSA titer, N stage, and PPF/SCF ratio were independent prognostic factors for survival. The 5-year OS in the patients with higher PPF/SCF ratio (≥ 1) and lower PPF/SCF ratio (< 1) was 49.5% and 66.5%, respectively (P = 0.039).
Conclusions
Pre-treatment ratio of PPF–to-SCF thickness on MRI is an independent predictor of survival in hormone-naïve men with advanced PCa. This could be useful for predicting which patients are more likely to develop castration-resistant PCa.
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References
Cooperberg MR, Hinotsu S, Namiki M et al (2009) Risk assessment among prostate cancer patients receiving primary androgen deprivation therapy. J Clin Oncol 27(26):4306–4313. https://doi.org/10.1200/JCO.2008.21.5228
James ND, Sydes MR, Clarke NW et al (2016) Addition of docetaxel, zoledronic acid, or both to first-line long-term hormone therapy in prostate cancer (STAMPEDE): survival results from an adaptive, multiarm, multistage, platform randomised controlled trial. Lancet 387(10024):1163–1177. https://doi.org/10.1016/S0140-6736(15)01037-5
Vale CL, Burdett S, Rydzewska LHM et al (2016) Addition of docetaxel or bisphosphonates to standard of care in men with localised or metastatic, hormone-sensitive prostate cancer: a systematic review and meta-analyses of aggregate data. Lancet Oncol 17(2):243–256. https://doi.org/10.1016/S1470-2045(15)00489-1
Kyriakopoulos CE, Chen YH, Carducci MA et al (2018) Chemohormonal therapy in metastatic hormone-sensitive prostate cancer: long-term survival analysis of the randomized phase III E3805 CHAARTED trial. J Clin Oncol 36(11):1080–1087. https://doi.org/10.1200/JCO.2017.75.3657
de Voogt HJ, Suciu S, Sylvester R et al (1989) Multivariate analysis of prognostic factors in patients with advanced prostatic cancer: results from 2 European organization for research on treatment of cancer trials. J Urol 141(4):883–888
Ishikawa S, Soloway MS, Van der Zwaag R et al (1989) Prognostic factors in survival free of progression after androgen deprivation therapy for treatment of prostate cancer. J Urol 141(5):1139–1142
Sasaki T, Onishi T, Hoshina A (2012) Cutoff value of time to prostate-specific antigen nadir is inversely correlated with disease progression in advanced prostate cancer. Endocr Relat Cancer 19(5):725–730. https://doi.org/10.1530/ERC-12-0133
Sasaki T, Onishi T, Hoshina A (2011) Nadir PSA level and time to PSA nadir following primary androgen deprivation therapy are the early survival predictors for prostate cancer patients with bone metastasis. Prostate Cancer Prostatic Dis 14(3):248–252. https://doi.org/10.1038/pcan.2011.14
Zhong S, Yan X, Wu Y et al (2016) Body mass index and mortality in prostate cancer patients: a dose-response meta-analysis. Prostate Cancer Prostatic Dis 19(2):122–131. https://doi.org/10.1038/pcan.2015.64
Finley DS, Calvert VS, Inokuchi J et al (2009) Periprostatic adipose tissue as a modulator of prostate cancer aggressiveness. J Urol 182(4):1621–1627. https://doi.org/10.1016/j.juro.2009.06.015
van Roermund JG, Hinnen KA, Tolman CJ et al (2011) Periprostatic fat correlates with tumour aggressiveness in prostate cancer patients. BJU Int 107(11):1775–1779. https://doi.org/10.1111/j.1464-410X.2010.09811.x
Salji M, Hendry J, Patel A et al (2018) Peri-prostatic fat volume measurement as a predictive tool for castration resistance in advanced prostate cancer. Eur Urol Focus 4(6):858–866. https://doi.org/10.1016/j.euf.2017.01.019
Sacca PA, Creydt VP, Choi H et al (2012) Human periprostatic adipose tissue: its influence on prostate cancer cells. Cell Physiol Biochem 30(1):113–122. https://doi.org/10.1159/000339051
Ribeiro RJ, Monteiro CP, Cunha VF et al (2012) Tumor cell-educated periprostatic adipose tissue acquires an aggressive cancer-promoting secretory profile. Cell Physiol Biochem 29(1–2):233–240. https://doi.org/10.1159/000337604
Ribeiro R, Monteiro C, Cunha V et al (2012) Human periprostatic adipose tissue promotes prostate cancer aggressiveness in vitro. J Exp Clin Cancer Res 31:32. https://doi.org/10.1186/1756-9966-31-32
Ribeiro R, Monteiro C, Catalan V et al (2012) Obesity and prostate cancer: gene expression signature of human periprostatic adipose tissue. BMC Med 10:108. https://doi.org/10.1186/1741-7015-10-108
Zhang Q, Sun LJ, Qi J et al (2014) Periprostatic adiposity measured on magnetic resonance imaging correlates with prostate cancer aggressiveness. Urol J 11(4):1793–1799
Japanese Urologial Association (2001) In: Murai M (ed) General rule for clinical and pathological studies on prostate cancer, 3rd edn. Tokyo, Kanehara Syuppan, pp 84–87
Bhindi B, Trottier G, Elharram M et al (2012) Measurement of peri-prostatic fat thickness using transrectal ultrasonography (TRUS): a new risk factor for prostate cancer. BJU Int 110(7):980–986. https://doi.org/10.1111/j.1464-410X.2012.10957.x
Woo S, Cho JY, Kim SY et al (2015) Periprostatic fat thickness on MRI: correlation with Gleason score in prostate cancer. AJR Am J Roentgenol 204(1):W43–47. https://doi.org/10.2214/AJR.14.12689
Tan WP, Lin C, Chen M et al (2016) Periprostatic fat: a risk factor for prostate cancer? Urology 98:107–112. https://doi.org/10.1016/j.urology.2016.07.042
Cao Y, Cao M, Chen Y et al (2017) 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. Oncotarget 8(27):44040–44049. https://doi.org/10.18632/oncotarget.17182
Dahran N, Szewczyk-Bieda M, Wei C et al (2017) Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease. Sci Rep 7(1):4630. https://doi.org/10.1038/s41598-017-04951-8
Mangiola S, Stuchbery R, McCoy PJ et al (2019) Androgen deprivation therapy promotes an obesity-like microenvironment in periprostatic fat. Endocr Connect. https://doi.org/10.1530/EC-19-0029
Toren P, Venkateswaran V (2014) Periprostatic adipose tissue and prostate cancer progression: new insights into the tumor microenvironment. Clin Genitourin Cancer 12(1):21–26. https://doi.org/10.1016/j.clgc.2013.07.013
Laurent V, Guerard A, Mazerolles C et al (2016) Periprostatic adipocytes act as a driving force for prostate cancer progression in obesity. Nat Commun 7:10230. https://doi.org/10.1038/ncomms10230
Venkatasubramanian PN, Brendler CB, Plunkett BA et al (2014) Periprostatic adipose tissue from obese prostate cancer patients promotes tumor and endothelial cell proliferation: a functional and MR imaging pilot study. Prostate 74(3):326–335
Gucalp A, Iyengar NM, Zhou XK et al (2017) Periprostatic adipose inflammation is associated with high-grade prostate cancer. Prostate Cancer Prostatic Dis 20(4):418–423. https://doi.org/10.1038/pcan.2017.31
Dahran N, Szewczyk-Bieda M, Vinnicombe S et al (2018) Periprostatic fat adipokines expression correlated with prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease. BJU Int. https://doi.org/10.1111/bju.14469
Mangiola S, Stuchbery R, Macintyre G et al (2018) Periprostatic fat tissue transcriptome reveals a signature diagnostic for high-risk prostate cancer. Endocr Relat Cancer 25(5):569–581. https://doi.org/10.1530/ERC-18-0058
Halabi S, Ou SS, Vogelzang NJ et al (2007) Inverse correlation between body mass index and clinical outcomes in men with advanced castration-recurrent prostate cancer. Cancer 110(7):1478–1484. https://doi.org/10.1002/cncr.22932
Lee JS, Lee HS, Ha JS et al (2018) Subcutaneous fat distribution is a prognostic biomarker for men with castration resistant prostate cancer. J Urol 200(1):114–120. https://doi.org/10.1016/j.juro.2018.01.069
Acknowledgements
We thank Dr. Toru Ogura (Department of Clinical Research Support Center, Mie University) for his assistance in statistical analyses.
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Sasaki, T., Sugino, Y., Kato, M. et al. Pre-treatment ratio of periprostatic to subcutaneous fat thickness on MRI is an independent survival predictor in hormone-naïve men with advanced prostate cancer. Int J Clin Oncol 25, 370–376 (2020). https://doi.org/10.1007/s10147-019-01559-y
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DOI: https://doi.org/10.1007/s10147-019-01559-y