PTEN deletion and Ki-67 expression are two of the most promising biomarkers in prostate cancer (PCa). In the same manner, multiparametric magnetic resonance imaging (mp-MRI) guided core biopsy is a powerful tool for PCa detection and staging. The aim of the study is to assess whether a correlation can be identified between the pathological stage defined by an mp-MRI-guided core-biopsy and Ki-67 expression and PTEN deletion. Such correlation might be useful for staging and treatment personalization in PCa. This investigation was conducted in the context of phase II clinical study "Short-term radiotherapy for early prostate cancer with a concomitant boost to the dominant lesion" (AIRC IG-13218), ClinicalTrials.gov identifier: NCT01913717. Nineteen patients underwent a further in-bore MRI-targeted core biopsy (MRI-TBx) on the dominant intraprostatic lesion (DIL); on this basis, an additional Gleason Score (GS) was determined. PTEN loss and Ki-67 expression on these samples were analyzed and correlated with both risk categories modifications and oncological outcomes (overall survival, biochemical and clinical relapse). GS was upgraded in 5 cases, with 4 patients re-classified as intermediate-risk and 1 patient as high-risk. The latter experienced a clinical local relapse. No correlations between up/down-staging, PTEN deletion, and Ki-67 expression were observed in this cohort. Further investigations are needed towards the identification of a pattern in the tumor aggressiveness-response in PCa treated with ultra-hypofractionated radiotherapy. Moreover, a possible relationship between biomarker analysis and imaging textural features could be explored.

Correlation between radiological and biological features and clinical outcomes in early prostate cancer: an exploratory subgroup analysis / G. Corrao, G. Marvaso, M. Zaffaroni, S. Volpe, M. Augugliaro, C.I. Fodor, D. Zerini, A. Vingiani, F.A. Mistretta, S. Luzzago, S. Alessi, P. Pricolo, G. Musi, O. De Cobelli, G. Renne, M. Manzoni, G. Petralia, R. Orecchia, B.A. Jereczek-Fossa. - In: NEOPLASMA. - ISSN 0028-2685. - 69:2(2022 Jan 12), pp. 404-411. [10.4149/neo_2021_210622N828]

Correlation between radiological and biological features and clinical outcomes in early prostate cancer: an exploratory subgroup analysis

G. Corrao
Primo
;
G. Marvaso
Secondo
;
S. Volpe;M. Augugliaro;D. Zerini;A. Vingiani;F.A. Mistretta;S. Luzzago;P. Pricolo;G. Musi;O. De Cobelli;G. Petralia;R. Orecchia
Penultimo
;
B.A. Jereczek-Fossa
Ultimo
2022

Abstract

PTEN deletion and Ki-67 expression are two of the most promising biomarkers in prostate cancer (PCa). In the same manner, multiparametric magnetic resonance imaging (mp-MRI) guided core biopsy is a powerful tool for PCa detection and staging. The aim of the study is to assess whether a correlation can be identified between the pathological stage defined by an mp-MRI-guided core-biopsy and Ki-67 expression and PTEN deletion. Such correlation might be useful for staging and treatment personalization in PCa. This investigation was conducted in the context of phase II clinical study "Short-term radiotherapy for early prostate cancer with a concomitant boost to the dominant lesion" (AIRC IG-13218), ClinicalTrials.gov identifier: NCT01913717. Nineteen patients underwent a further in-bore MRI-targeted core biopsy (MRI-TBx) on the dominant intraprostatic lesion (DIL); on this basis, an additional Gleason Score (GS) was determined. PTEN loss and Ki-67 expression on these samples were analyzed and correlated with both risk categories modifications and oncological outcomes (overall survival, biochemical and clinical relapse). GS was upgraded in 5 cases, with 4 patients re-classified as intermediate-risk and 1 patient as high-risk. The latter experienced a clinical local relapse. No correlations between up/down-staging, PTEN deletion, and Ki-67 expression were observed in this cohort. Further investigations are needed towards the identification of a pattern in the tumor aggressiveness-response in PCa treated with ultra-hypofractionated radiotherapy. Moreover, a possible relationship between biomarker analysis and imaging textural features could be explored.
Settore MED/36 - Diagnostica per Immagini e Radioterapia
12-gen-2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/903945
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