Tissue cholesterol metabolism and prostate cancer aggressiveness: Ethno‐geographic variations

The Prostate ◽  
2021 ◽  
Author(s):  
Vincent Lethongsavarn ◽  
Michèle Pinault ◽  
Abdoulaye Diedhiou ◽  
Cyrille Guimaraes ◽  
Roseline Guibon ◽  
...  

Author(s):  
Carolin Eckhardt ◽  
Iuliu Sbiera ◽  
Markus Krebs ◽  
Silviu Sbiera ◽  
Martin Spahn ◽  
...  

Abstract Background Prostate cancer (PCa) is the most frequent cancer in men. The prognosis of PCa is heterogeneous with many clinically indolent tumors and rare highly aggressive cases. Reliable tissue markers of prognosis are lacking. Active cholesteryl ester synthesis has been associated with prostate cancer aggressiveness. Sterol-O-Acyl transferases (SOAT) 1 and 2 catalyze cholesterol esterification in humans. Objective To investigate the value of SOAT1 and SOAT2 tissue expression as prognostic markers in high risk PCa. Patients and methods Formalin-fixed paraffin-embedded tissue samples from 305 high risk PCa cases treated with radical prostatectomy were analyzed for SOAT1 and SOAT2 protein expression by semi-quantitative immunohistochemistry. The Kaplan–Meier method and Cox proportional hazards modeling were used to compare outcome. Main outcome measure Biochemical recurrence (BCR) free survival. Results SOAT1 expression was high in 73 (25%) and low in 219 (75%; not evaluable: 13) tumors. SOAT2 was highly expressed in 40 (14%) and at low levels in 249 (86%) samples (not evaluable: 16). By Kaplan–Meier analysis, we found significantly shorter median BCR free survival of 93 months (95% confidence interval 23.6–123.1) in patients with high SOAT1 vs. 134 months (112.6–220.2, Log-rank p < 0.001) with low SOAT1. SOAT2 expression was not significantly associated with BCR. After adjustment for age, preoperative PSA, tumor stage, Gleason score, resection status, lymph node involvement and year of surgery, high SOAT1 but not SOAT2 expression was associated with shorter BCR free survival with a hazard ratio of 2.40 (95% CI 1.57–3.68, p < 0.001). Time to clinical recurrence and overall survival were not significantly associated with SOAT1 and SOAT2 expression Conclusions SOAT1 expression is strongly associated with BCR free survival alone and after multivariable adjustment in high risk PCa. SOAT1 may serve as a histologic marker of prognosis and holds promise as a future treatment target.



2006 ◽  
Vol 175 (4S) ◽  
pp. 136-136
Author(s):  
Tsutomu Nishiyama ◽  
Toshihiko Ikarashi ◽  
Yutaka Hashimoto ◽  
Kazuya Suzuki ◽  
Kota Takahashi




2020 ◽  
Vol 16 (1) ◽  
pp. 63-73 ◽  
Author(s):  
Rishabh Kaushik ◽  
Sheeza Khan ◽  
Meesha Sharma ◽  
Srinivasan Hemalatha ◽  
Zeba Mueed ◽  
...  

Prostate cancer has become a global health concern as it is one of the leading causes of mortality in males. With the emerging drug resistance to conventional therapies, it is imperative to unravel new molecular targets for disease prevention. Cytochrome P450 (P450s or CYPs) represents a unique class of mixed-function oxidases which catalyses a wide array of biosynthetic and metabolic functions including steroidogenesis and cholesterol metabolism. Several studies have reported the overexpression of the genes encoding CYPs in prostate cancer cells and how they can be used as molecular targets for drug discovery. But due to functional redundancy and overlapping expression of CYPs in several other metabolic pathways there are several impediments in the clinical efficacy of the novel drugs reported till now. Here we review the most crucial P450 enzymes which are involved in prostate cancer and how they can be used as molecular targets for drug discovery along with the clinical limitations of the currently existing CYP inhibitors.



2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mads Ryø Jochumsen ◽  
Jens Sörensen ◽  
Lars Poulsen Tolbod ◽  
Bodil Ginnerup Pedersen ◽  
Jørgen Frøkiær ◽  
...  

Abstract Background Both prostate-specific membrane antigen (PSMA) uptake and tumour blood flow (TBF) correlate with International Society of Urological Pathology (ISUP) Grade Group (GG) and hence prostate cancer (PCa) aggressiveness. The aim of the present study was to evaluate the potential synergistic benefit of combining the two physiologic parameters for separating significant PCa from insignificant findings. Methods From previous studies of [82Rb]Rb positron emission tomography (PET) TBF in PCa, the 43 patients that underwent clinical [68Ga]Ga-PSMA-11 PET were selected for this retrospective study. Tumours were delineated on [68Ga]Ga-PSMA-11 PET or magnetic resonance imaging. ISUP GG was recorded from 52 lesions. Results [68Ga]Ga-PSMA-11 maximum standardized uptake value (SUVmax) and [82Rb]Rb SUVmax correlated moderately with ISUP GG (rho = 0.59 and rho = 0.56, both p < 0.001) and with each other (r = 0.65, p < 0.001). A combined model of [68Ga]Ga-PSMA-11 and [82Rb]Rb SUVmax separated ISUP GG > 2 from ISUP GG 1–2 and benign with an area-under-the-curve of 0.85, 96% sensitivity, 74% specificity, and 95% negative predictive value. The combined model performed significantly better than either tracer alone did (p < 0.001), primarily by reducing false negatives from five or six to one (p ≤ 0.025). Conclusion PSMA uptake and TBF provide complementary information about tumour aggressiveness. We suggest that a combined analysis of PSMA uptake and TBF could significantly improve the negative predictive value and allow non-invasive separation of significant from insignificant PCa.



2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Xavier Ruiz-Plazas ◽  
Esther Rodríguez-Gallego ◽  
Marta Alves ◽  
Antonio Altuna-Coy ◽  
Javier Lozano-Bartolomé ◽  
...  

Abstract Background Conventional clinical biomarkers cannot accurately differentiate indolent from aggressive prostate cancer (PCa). We investigated the usefulness of a biomarker panel measured exclusively in biofluids for assessment of PCa aggressiveness. Methods We collected biofluid samples (plasma/serum/semen/post-prostatic massage urine) from 98 patients that had undergone radical prostatectomy. Clinical biochemistry was performed and several cytokines/chemokines including soluble(s) TWEAK, sFn14, sCD163, sCXCL5 and sCCL7 were quantified by ELISA in selected biofluids. Also, the expression of KLK2, KLK3, Fn14, CD163, CXCR2 and CCR3 was quantified by real-time PCR in semen cell sediment. Univariate, logistic regression, and receiver operating characteristic (ROC) analyses were used to assess the predictive ability of the selected biomarker panel in conjunction with clinical and metabolic variables for the evaluation of PCa aggressiveness. Results Total serum levels of prostate-specific antigen (PSA), semen levels of sTWEAK, fasting glycemia and mRNA levels of Fn14, KLK2, CXCR2 and CCR3 in semen cell sediment constituted a panel of markers that was significantly different between patients with less aggressive tumors [International Society of Urological Pathology (ISUP) grade I and II] and those with more aggressive tumors (ISUP grade III, IV and V). ROC curve analysis showed that this panel could be used to correctly classify tumor aggressiveness in 90.9% of patients. Area under the curve (AUC) analysis revealed that this combination was more accurate [AUC = 0.913 95% confidence interval (CI) 0.782–1] than a classical non-invasive selected clinical panel comprising age, tumor clinical stage (T-classification) and total serum PSA (AUC = 0.721 95% CI 0.613–0.830). Conclusions TWEAK/Fn14 axis in combination with a selected non-invasive biomarker panel, including conventional clinical biochemistry, can improve the predictive power of serum PSA levels and could be used to classify PCa aggressiveness.



2019 ◽  
Vol 18 (1) ◽  
pp. 153-165 ◽  
Author(s):  
Janielle P. Maynard ◽  
Onur Ertunc ◽  
Ibrahim Kulac ◽  
Javier A. Baena-Del Valle ◽  
Angelo M. De Marzo ◽  
...  


Neoplasia ◽  
2002 ◽  
Vol 4 (5) ◽  
pp. 424-431 ◽  
Author(s):  
Phillippa J. Neville ◽  
David V. Contit ◽  
Pamela L. Paris ◽  
Howard Levint ◽  
William J. Catalona ◽  
...  


2021 ◽  
Author(s):  
Sarah J. Winter ◽  
Sophia Halliday ◽  
Konrad H. Stopsack ◽  
Sarah O. Osman ◽  
Alan R. Hounsell ◽  
...  


2012 ◽  
Vol 22 (6) ◽  
pp. 1328-1335 ◽  
Author(s):  
Andrea M. Tavlarides ◽  
Steven C. Ames ◽  
Nancy N. Diehl ◽  
Richard W. Joseph ◽  
Erik P. Castle ◽  
...  


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