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Alaimo A, De Felice D, Genovesi S, Lorenzoni M, Lunardi A. Tune the channel: TRPM8 targeting in prostate cancer. Oncoscience 2021; 8:97-100. [PMID: 34514058 PMCID: PMC8428510 DOI: 10.18632/oncoscience.543] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/06/2021] [Indexed: 01/21/2023] Open
Abstract
The therapeutic landscape of cancer treatments is quickly evolving thanks to the advent of precision oncology. Discovery of novel druggable targets and more reliable biomarkers is a primary objective towards personalized strategies of cancer treatment. Highly expressed in the prostate epithelium within the human body, Transient Receptor Potential subfamily M member 8 (TRPM8) levels rise in primary and hormone naïve metastatic prostate cancer (PCa) lesions, which makes this channel an interesting prototype of molecular target. Recently, by combining a multidisciplinary approach to an in vitro genetic platform, we demonstrated that the combination of potent TRPM8 agonists with X-rays induces a massive apoptotic response in radioresistant pre-malignant and malignant models of primary prostate lesions. As well, TRPM8 activation enhances the efficacy of docetaxel or enzalutamide in eradicating hormone naïve metastatic PCa cells. Overall, our findings provide a solid rationale for pursuing the pre-clinical and clinical study of TRPM8 as a valuable target for future approaches of precise oncology in PCa.
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Affiliation(s)
- Alessandro Alaimo
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento 38123, Italy
| | - Dario De Felice
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento 38123, Italy
| | - Sacha Genovesi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento 38123, Italy
| | - Marco Lorenzoni
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento 38123, Italy
| | - Andrea Lunardi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento 38123, Italy
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Alaimo A, Lorenzoni M, Ambrosino P, Bertossi A, Bisio A, Macchia A, Zoni E, Genovesi S, Cambuli F, Foletto V, De Felice D, Soldovieri MV, Mosca I, Gandolfi F, Brunelli M, Petris G, Cereseto A, Villarroel A, Thalmann G, Carbone FG, Kruithof-de Julio M, Barbareschi M, Romanel A, Taglialatela M, Lunardi A. Calcium cytotoxicity sensitizes prostate cancer cells to standard-of-care treatments for locally advanced tumors. Cell Death Dis 2020; 11:1039. [PMID: 33288740 PMCID: PMC7721710 DOI: 10.1038/s41419-020-03256-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 10/20/2020] [Accepted: 10/23/2020] [Indexed: 12/30/2022]
Abstract
Therapy resistance is a major roadblock in oncology. Exacerbation of molecular dysfunctions typical of cancer cells have proven effective in twisting oncogenic mechanisms to lethal conditions, thus offering new therapeutic avenues for cancer treatment. Here, we demonstrate that selective agonists of Transient Receptor Potential cation channel subfamily M member 8 (TRPM8), a cation channel characteristic of the prostate epithelium frequently overexpressed in advanced stage III/IV prostate cancers (PCa), sensitize therapy refractory models of PCa to radio, chemo or hormonal treatment. Overall, our study demonstrates that pharmacological-induced Ca2+ cytotoxicity is an actionable strategy to sensitize cancer cells to standard therapies.
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Affiliation(s)
- Alessandro Alaimo
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Marco Lorenzoni
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Paolo Ambrosino
- Department of Science and Technology (DST), University of Sannio, Benevento, Italy
| | - Arianna Bertossi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Alessandra Bisio
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Alice Macchia
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Eugenio Zoni
- Department for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland
| | - Sacha Genovesi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Francesco Cambuli
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Veronica Foletto
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Dario De Felice
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | | | - Ilaria Mosca
- Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy
| | - Francesco Gandolfi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Matteo Brunelli
- Department of Pathology AOUI, University of Verona, Verona, Italy
| | - Gianluca Petris
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Anna Cereseto
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Alvaro Villarroel
- Biofisika Institute (CSIC, UPV/EHU), University of the Basque Country, Leioa, Spain
| | - George Thalmann
- Department for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.,Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Marianna Kruithof-de Julio
- Department for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.,Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Alessandro Romanel
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | | | - Andrea Lunardi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
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de Boo L, Pintilie M, Yip P, Baniel J, Fleshner N, Margel D. Time from first detectable PSA following radical prostatectomy to biochemical recurrence: A competing risk analysis. Can Urol Assoc J 2015; 9:E14-21. [PMID: 25624961 PMCID: PMC4301963 DOI: 10.5489/cuaj.2147] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
INTRODUCTION In this study, we estimated the time from first detectable prostate-specific antigen (PSA) following radical prostatectomy (RP) to commonly used definitions of biochemical recurrence (BCR). We also identified the predictors of time to BCR. METHODS We identified subjects who underwent a RP and had an undetectable PSA after surgery followed by at least 1 detectable PSA between 2000 and 2011. The primary outcome was time to BCR (PSA ≥0.2 and successive PSA ≥0.2) and prediction of the rate of PSA rise. Outcomes were calculated using a competing risk analysis, with univariable and multivariable Fine and Grey models. We employed a mixed effect model to test clinical predictors that are associated with the rate of PSA rise. RESULTS The cohort included 376 patients. The median follow-up from surgery was 60.5 months (interquartile range [IQR] 40.8-91.5) and from detectable PSA was 18 months (IQR 11-32). Only 45.74% (n = 172) had PSA values ≥0.2 ng/mL, while 15.16% (n = 57) reached the PSA level of ≥0.4 ng/mL and rising. On multivariable analysis, the values of the first detectable PSA and pathologic Gleason grade 8 or higher were consistently independent predictors of time to BCR. In the mixed effect model rate, the PSA rise was associated with time from surgery to first detectable PSA, Gleason score, and prostate volume. The main limitation of this study is the large proportion of patients that received treatment without reaching BCR. It is plausible that shorter estimated median times would occur at a centre that does not use salvage therapy at such an early state. CONCLUSION The time from first detectable PSA to BCR may be lengthy. Our analyses of the predictors of the rate of PSA rise can help determine a personalized approach for patients with a detectable PSA after surgery.
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Affiliation(s)
- Leonora de Boo
- Division of Urology, Department of Surgical Oncology,University Health Network, Toronto, ON and Erasmus MC-beurs, Erasmus University Rotterdam, Netherlands
| | - Melania Pintilie
- Clinical Study Coordination and Biostatistics, University Health Network, Toronto, ON
| | - Paul Yip
- Laboratory Medicine Program, University Health Network, Toronto, ON
| | - Jack Baniel
- Division of Urology, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Neil Fleshner
- Division of Urology, Department of Surgical Oncology, University Health Network, Toronto, ON
| | - David Margel
- Division of Urology and Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Israel
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