Prostate cancer represents the most frequent tumor in men, accounting for the 21% of all diagnosed tumors, with 191,930 new cases and 33,330 deaths estimated in 2020. Advanced prostate cancer represents a heterogeneous disease, ranging from hormone naive or hormone sensitive to castration resistant. The therapeutic armamentarium for this disease has been implemented in the last years by novel hormonal therapies and chemotherapies. However, the percentage of patients who achieve complete responses still results negligible. On this scenario, the design of clinical trials investigating new therapeutic approaches represent a dramatic medical need. Predicting cancer incidence may be fundamental to design specific clinical trials, to optimize the allocation of economic resources, and to plan future cancer control programs. ERG, SPOP and DDR genes alterations can act as therapeutic targets in prostate cancer patients and can be tested to identify a gene-selected patient population to enrol in specific trials. According to our predictions, ERG gene fusions will be the most predominant molecular subtype, accounting for 69,050 new cases in 2030. Mutation in SPOP gene will be diagnosed in 16,512 tumors, corresponding to the number of cases associated with alterations in DDR genes (including 7,956 BRCA2 mutated tumors). In this article, we analyzed and discussed the future molecular and clinical profiles of prostate cancer in the United States, aimed to describe a series of distinct subpopulations and to quantify potential clinical trial candidates in the next years.

Narrative review: Predicting future molecular and clinical profiles of prostate cancer in the United States / Santoni M.; Cimadamore A.; Massari F.; Sorgentoni G.; Cheng L.; Lopez-Beltran A.; Battelli N.; Montironi R.. - In: TRANSLATIONAL ANDROLOGY AND UROLOGY. - ISSN 2223-4683. - ELETTRONICO. - 10:3(2021), pp. 1562-1568. [10.21037/tau-20-1439]

Narrative review: Predicting future molecular and clinical profiles of prostate cancer in the United States

Massari F.;
2021

Abstract

Prostate cancer represents the most frequent tumor in men, accounting for the 21% of all diagnosed tumors, with 191,930 new cases and 33,330 deaths estimated in 2020. Advanced prostate cancer represents a heterogeneous disease, ranging from hormone naive or hormone sensitive to castration resistant. The therapeutic armamentarium for this disease has been implemented in the last years by novel hormonal therapies and chemotherapies. However, the percentage of patients who achieve complete responses still results negligible. On this scenario, the design of clinical trials investigating new therapeutic approaches represent a dramatic medical need. Predicting cancer incidence may be fundamental to design specific clinical trials, to optimize the allocation of economic resources, and to plan future cancer control programs. ERG, SPOP and DDR genes alterations can act as therapeutic targets in prostate cancer patients and can be tested to identify a gene-selected patient population to enrol in specific trials. According to our predictions, ERG gene fusions will be the most predominant molecular subtype, accounting for 69,050 new cases in 2030. Mutation in SPOP gene will be diagnosed in 16,512 tumors, corresponding to the number of cases associated with alterations in DDR genes (including 7,956 BRCA2 mutated tumors). In this article, we analyzed and discussed the future molecular and clinical profiles of prostate cancer in the United States, aimed to describe a series of distinct subpopulations and to quantify potential clinical trial candidates in the next years.
2021
Narrative review: Predicting future molecular and clinical profiles of prostate cancer in the United States / Santoni M.; Cimadamore A.; Massari F.; Sorgentoni G.; Cheng L.; Lopez-Beltran A.; Battelli N.; Montironi R.. - In: TRANSLATIONAL ANDROLOGY AND UROLOGY. - ISSN 2223-4683. - ELETTRONICO. - 10:3(2021), pp. 1562-1568. [10.21037/tau-20-1439]
Santoni M.; Cimadamore A.; Massari F.; Sorgentoni G.; Cheng L.; Lopez-Beltran A.; Battelli N.; Montironi R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/910905
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