Manuel Scimeca1, Rita Bonfiglio2, Nicoletta Urbano3, Chiara Cerroni4, Lucia Anemona4, Manuela Montanaro4, Sara Fazi4, Orazio Schillaci5, Alessandro Mauriello4, Elena Bonanno6. 1. Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy; San Raffaele University, Rome, Italy; OrchideaLab S.r.l., Rome, Italy. 2. Department of Experimental Medicine and Surgery, University "Tor Vergata", Rome, Italy. 3. Nuclear Medicine, Policlinico "Tor Vergata", Rome, Italy. 4. Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy. 5. San Raffaele University, Rome, Italy; IRCCS Neuromed, Pozzilli, Italy. 6. Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy; "Diagnostica Medica" and "Villa dei Platani", Avellino, Italy. Electronic address: elena.bonanno@uniroma2.it.
Abstract
BACKGROUND: The main aim of this study was to investigate the putative correlation between the composition of intratumoral inflammatory infiltrate and the expression of programmed death ligand 1 (PD-L1) by prostate cancer cells. In addition, we evaluated the correlation between the expression of PD-L1 and PTX3. METHODS: We enrolled 100 patients from which we collected one surgical sample each. Paraffin serial sections were obtained to perform histological classifications and tissues microarray construction. Serial tissues microarray paraffin sections were also used for PD-L1 analysis and intratumoral inflammatory infiltrate characterization (CD4, CD8, CD57, CD3, PD1, PSGL-1, TIGIT, CD20, CD38, CD68, CD163, and PTX3) by immunohistochemistry . RESULTS: Our result showed a significant increase of the number of both PD-L1 and PTX3 positive cells in prostate tumors respect to benign lesions. Inflammatory infiltrate of PD-L1 positive prostate cancer lesions was characterized by a decrease of both PD1 positive lymphocytes and tumor-infiltrated macrophages, mainly M2 subpopulation. Also, PTX3 expression showed an inverse correlation with the number of PD-L1 positive prostate cancer cells. CONCLUSIONS: If confirmed, our data could be useful to predict the variations of the inflammatory population related to PD-L1 expression in prostate cancer. This can lay the foundation to establish therapeutic protocols able to inhibit the PD-L1 activity and, at the same time, to reactivate the antitumor inflammatory process.
BACKGROUND: The main aim of this study was to investigate the putative correlation between the composition of intratumoral inflammatory infiltrate and the expression of programmed death ligand 1 (PD-L1) by prostate cancer cells. In addition, we evaluated the correlation between the expression of PD-L1 and PTX3. METHODS: We enrolled 100 patients from which we collected one surgical sample each. Paraffin serial sections were obtained to perform histological classifications and tissues microarray construction. Serial tissues microarray paraffin sections were also used for PD-L1 analysis and intratumoral inflammatory infiltrate characterization (CD4, CD8, CD57, CD3, PD1, PSGL-1, TIGIT, CD20, CD38, CD68, CD163, and PTX3) by immunohistochemistry . RESULTS: Our result showed a significant increase of the number of both PD-L1 and PTX3 positive cells in prostate tumors respect to benign lesions. Inflammatory infiltrate of PD-L1 positive prostate cancer lesions was characterized by a decrease of both PD1 positive lymphocytes and tumor-infiltrated macrophages, mainly M2 subpopulation. Also, PTX3 expression showed an inverse correlation with the number of PD-L1 positive prostate cancer cells. CONCLUSIONS: If confirmed, our data could be useful to predict the variations of the inflammatory population related to PD-L1 expression in prostate cancer. This can lay the foundation to establish therapeutic protocols able to inhibit the PD-L1 activity and, at the same time, to reactivate the antitumor inflammatory process.
Authors: Sarah N Mapelli; Domenico Albino; Maurizia Mello-Grand; Dheeraj Shinde; Manuel Scimeca; Rita Bonfiglio; Elena Bonanno; Giovanna Chiorino; Ramon Garcia-Escudero; Carlo V Catapano; Giuseppina M Carbone Journal: Cancers (Basel) Date: 2020-01-10 Impact factor: 6.639
Authors: Chiara Focaccetti; Monica Benvenuto; Sara Ciuffa; Sara Fazi; Manuel Scimeca; Alessandra Nardi; Martino Tony Miele; Andrea Battisti; Elena Bonanno; Andrea Modesti; Laura Masuelli; Roberto Bei Journal: Nutrients Date: 2020-05-14 Impact factor: 5.717