2019
DOI: 10.1073/pnas.1815735116
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Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth

Abstract: Prostate cancer and benign prostatic hyperplasia are common genitourinary diseases in aging men. Both pathologies may coexist and share numerous similarities, which have suggested several connections or some interplay between them. However, solid evidence confirming their existence is lacking. Recent studies on extensive series of prostatectomy specimens have shown that tumors originating in larger prostates present favorable pathological features. Hence, large prostates may exert a protective effect against p… Show more

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Cited by 93 publications
(109 citation statements)
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References 71 publications
(197 reference statements)
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“…ODE models are limited to temporal dynamics, but this enables their use in a wide range of cellular and tissue-scale settings that can leverage multiple types of time-resolved data ( Benzekry et al., 2014 ; Jarrett et al., 2019 ; Johnson et al, 2020 ; Lorenzo et al., 2019b ; Mendoza-Juez et al., 2012 ; Morken et al., 2014 ). PDE models further include spatial dynamics and constitute the standard approach for clinical, tissue-scale applications, which usually rely on longitudinal in vivo imaging data ( Hormuth et al., 2020 ; Jarrett et al., 2018 ; Lorenzo et al., 2019a ; Mang et al., 2020 ; Rockne et al., 2015 ; Wong et al., 2017 ). Additionally, hybrid models combine a discrete and continuous formulation, which may require multiscale multimodal data ( Metzcar et al., 2019 ; Phillips et al., 2020 ; Vilanova et al., 2017 ; Wang et al., 2015 ).…”
Section: Biology-based Mathematical Modelsmentioning
confidence: 99%
“…ODE models are limited to temporal dynamics, but this enables their use in a wide range of cellular and tissue-scale settings that can leverage multiple types of time-resolved data ( Benzekry et al., 2014 ; Jarrett et al., 2019 ; Johnson et al, 2020 ; Lorenzo et al., 2019b ; Mendoza-Juez et al., 2012 ; Morken et al., 2014 ). PDE models further include spatial dynamics and constitute the standard approach for clinical, tissue-scale applications, which usually rely on longitudinal in vivo imaging data ( Hormuth et al., 2020 ; Jarrett et al., 2018 ; Lorenzo et al., 2019a ; Mang et al., 2020 ; Rockne et al., 2015 ; Wong et al., 2017 ). Additionally, hybrid models combine a discrete and continuous formulation, which may require multiscale multimodal data ( Metzcar et al., 2019 ; Phillips et al., 2020 ; Vilanova et al., 2017 ; Wang et al., 2015 ).…”
Section: Biology-based Mathematical Modelsmentioning
confidence: 99%
“…This is particularly true for biochemical and genetic approaches which have been validated in patient cohorts, such as e.g. for the prediction of surgical volume for breast and prostate locations [7], [8], and for the prediction of the chemical agent diffusion for pancreatic cancer [9].…”
Section: Mcts-capsule Systemmentioning
confidence: 99%
“…Benign prostate hyperplasia (BPH), also known as prostate gland enlargement, is a genitourinary condition that is most prevalent in aging males, usually starting at 50-61 years of age ( 1 ), and causing lower urinary tract symptoms (LUTS), such as urine flow blockage as a result of the urethra being compressed by the enlarged gland. Other potential complications may include bladder, urinary tract or kidney problems ( 2 ).…”
Section: Introductionmentioning
confidence: 99%