TY - JOUR
T1 - Prognostic Impact of H19/Cell Adhesion Molecules Circuitry on Prostate Cancer Biopsy
AU - Pecci, Valeria
AU - Pierconti, Francesco
AU - Carlino, Angela
AU - Pinto, Francesco
AU - Gradilone, Ugo
AU - De Martino, Sara
AU - Rotili, Dante
AU - Grassi, Claudio
AU - Pontecorvi, Alfredo
AU - Gaetano, Carlo
AU - Strigari, Lidia
AU - Farsetti, Antonella
AU - Nanni, Simona
PY - 2024
Y1 - 2024
N2 - Introduction: Metastatic prostate cancer (PCa) presents a significant challenge in oncology due to its high mortality rate and the absence of effective biomarkers for predicting patient outcomes. Building on previous research that highlighted the critical role of the long noncoding RNA (lncRNA) H19 and cell adhesion molecules in promoting tumor progression under hypoxia and estrogen stimulation, this study aimed to assess the potential of these components as prognostic biomarkers for PCa at the biopsy stage. Methods: This research utilized immunohistochemistry and droplet digital PCR to analyze formalin-fixed paraffin-embedded (FFPE) biopsies, focusing on specific markers within the H19/cell adhesion molecules pathway. Results: A novel multivariate analysis led to a “BioScore”, a composite biomarker score to predict disease progression. This score is based on evaluating five key markers: the expression levels of Hypoxia-Inducible Factor 2 Alpha (HIF-2α), endothelial Nitric Oxide Synthase (eNOS), β4 integrin, E-cadherin transcript (CDH1), and lncRNA H19. The criteria for the “BioScore” involve identifying three out of these five markers, combining elevated levels of HIF-2α, eNOS, β4 integrin, and CDH1 with reduced H19 expression. Conclusions: This finding suggests the possibility of identifying, at the time of biopsy, PCa patients at higher risk of metastasis based on dysregulation in the H19/cell adhesion molecules circuitry. This study provides a valuable opportunity for early intervention in managing PCa, potentially contributing to personalized treatment strategies.
AB - Introduction: Metastatic prostate cancer (PCa) presents a significant challenge in oncology due to its high mortality rate and the absence of effective biomarkers for predicting patient outcomes. Building on previous research that highlighted the critical role of the long noncoding RNA (lncRNA) H19 and cell adhesion molecules in promoting tumor progression under hypoxia and estrogen stimulation, this study aimed to assess the potential of these components as prognostic biomarkers for PCa at the biopsy stage. Methods: This research utilized immunohistochemistry and droplet digital PCR to analyze formalin-fixed paraffin-embedded (FFPE) biopsies, focusing on specific markers within the H19/cell adhesion molecules pathway. Results: A novel multivariate analysis led to a “BioScore”, a composite biomarker score to predict disease progression. This score is based on evaluating five key markers: the expression levels of Hypoxia-Inducible Factor 2 Alpha (HIF-2α), endothelial Nitric Oxide Synthase (eNOS), β4 integrin, E-cadherin transcript (CDH1), and lncRNA H19. The criteria for the “BioScore” involve identifying three out of these five markers, combining elevated levels of HIF-2α, eNOS, β4 integrin, and CDH1 with reduced H19 expression. Conclusions: This finding suggests the possibility of identifying, at the time of biopsy, PCa patients at higher risk of metastasis based on dysregulation in the H19/cell adhesion molecules circuitry. This study provides a valuable opportunity for early intervention in managing PCa, potentially contributing to personalized treatment strategies.
KW - molecular biomarkers
KW - patient’s stratification
KW - prognosis
KW - prostate cancer
KW - molecular biomarkers
KW - patient’s stratification
KW - prognosis
KW - prostate cancer
UR - https://publicatt.unicatt.it/handle/10807/307117
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85207667290&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85207667290&origin=inward
U2 - 10.3390/biomedicines12102322
DO - 10.3390/biomedicines12102322
M3 - Article
SN - 2227-9059
VL - 12
SP - N/A-N/A
JO - Biomedicines
JF - Biomedicines
IS - 10
ER -