Cargando…

Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma

The management and screening of prostate cancer (PC) is still the main problem in clinical practice. In this study, we investigated the role of aggressiveness genetic markers for PC stratification. We analyzed 201 plasma samples from PC patients and controls by digital PCR. For selection and validat...

Descripción completa

Detalles Bibliográficos
Autores principales: Alvarez-Cubero, Maria Jesus, Arance, Elena, de Santiago, Esperanza, Sanchez, Pilar, Sepúlveda, Maria Rosario, Marrero, Raquel, Lorente, Jose Antonio, Gonzalez-Cabezuelo, Jose Maria, Cuenca-Lopez, Sergio, Cozar, Jose Manuel, Vazquez-Alonso, Fernando, Martinez-Gonzalez, Luis Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820153/
https://www.ncbi.nlm.nih.gov/pubmed/36613987
http://dx.doi.org/10.3390/ijms24010547
_version_ 1784865399891820544
author Alvarez-Cubero, Maria Jesus
Arance, Elena
de Santiago, Esperanza
Sanchez, Pilar
Sepúlveda, Maria Rosario
Marrero, Raquel
Lorente, Jose Antonio
Gonzalez-Cabezuelo, Jose Maria
Cuenca-Lopez, Sergio
Cozar, Jose Manuel
Vazquez-Alonso, Fernando
Martinez-Gonzalez, Luis Javier
author_facet Alvarez-Cubero, Maria Jesus
Arance, Elena
de Santiago, Esperanza
Sanchez, Pilar
Sepúlveda, Maria Rosario
Marrero, Raquel
Lorente, Jose Antonio
Gonzalez-Cabezuelo, Jose Maria
Cuenca-Lopez, Sergio
Cozar, Jose Manuel
Vazquez-Alonso, Fernando
Martinez-Gonzalez, Luis Javier
author_sort Alvarez-Cubero, Maria Jesus
collection PubMed
description The management and screening of prostate cancer (PC) is still the main problem in clinical practice. In this study, we investigated the role of aggressiveness genetic markers for PC stratification. We analyzed 201 plasma samples from PC patients and controls by digital PCR. For selection and validation, 26 formalin-fixed paraffin-embedded tissues, 12 fresh tissues, and 24 plasma samples were characterized by RNA-Seq, immunochemistry, immunofluorescence, Western blot, and extracellular-vesicles analyses. We identified three novel non-invasive biomarkers; all with an increased expression pattern in patients (PCA3: p = 0.002, S100A4: p ≤ 0.0001 and MRC2: p = 0.005). S100A4 presents the most informative AUC (area under the curve) (0.735). Combination of S100A4, MRC2, and PCA3 increases the discriminatory power between patients and controls and between different more and less aggressive stages (AUC = 0.761, p ≤ 0.0001). However, although a sensitivity of 97.47% in PCA3 and a specificity of 90.32% in S100A4 was reached, the detection signal level could be variable in some analyses owing to tumor heterogeneity. This is the first time that the role of S100A4 and MRC2 has been described in PC aggressiveness. Moreover, the combination of S100A4, MRC2, and PCA3 has never been described as a non-invasive biomarker for PC screening and aggressiveness.
format Online
Article
Text
id pubmed-9820153
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98201532023-01-07 Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma Alvarez-Cubero, Maria Jesus Arance, Elena de Santiago, Esperanza Sanchez, Pilar Sepúlveda, Maria Rosario Marrero, Raquel Lorente, Jose Antonio Gonzalez-Cabezuelo, Jose Maria Cuenca-Lopez, Sergio Cozar, Jose Manuel Vazquez-Alonso, Fernando Martinez-Gonzalez, Luis Javier Int J Mol Sci Article The management and screening of prostate cancer (PC) is still the main problem in clinical practice. In this study, we investigated the role of aggressiveness genetic markers for PC stratification. We analyzed 201 plasma samples from PC patients and controls by digital PCR. For selection and validation, 26 formalin-fixed paraffin-embedded tissues, 12 fresh tissues, and 24 plasma samples were characterized by RNA-Seq, immunochemistry, immunofluorescence, Western blot, and extracellular-vesicles analyses. We identified three novel non-invasive biomarkers; all with an increased expression pattern in patients (PCA3: p = 0.002, S100A4: p ≤ 0.0001 and MRC2: p = 0.005). S100A4 presents the most informative AUC (area under the curve) (0.735). Combination of S100A4, MRC2, and PCA3 increases the discriminatory power between patients and controls and between different more and less aggressive stages (AUC = 0.761, p ≤ 0.0001). However, although a sensitivity of 97.47% in PCA3 and a specificity of 90.32% in S100A4 was reached, the detection signal level could be variable in some analyses owing to tumor heterogeneity. This is the first time that the role of S100A4 and MRC2 has been described in PC aggressiveness. Moreover, the combination of S100A4, MRC2, and PCA3 has never been described as a non-invasive biomarker for PC screening and aggressiveness. MDPI 2022-12-29 /pmc/articles/PMC9820153/ /pubmed/36613987 http://dx.doi.org/10.3390/ijms24010547 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alvarez-Cubero, Maria Jesus
Arance, Elena
de Santiago, Esperanza
Sanchez, Pilar
Sepúlveda, Maria Rosario
Marrero, Raquel
Lorente, Jose Antonio
Gonzalez-Cabezuelo, Jose Maria
Cuenca-Lopez, Sergio
Cozar, Jose Manuel
Vazquez-Alonso, Fernando
Martinez-Gonzalez, Luis Javier
Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma
title Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma
title_full Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma
title_fullStr Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma
title_full_unstemmed Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma
title_short Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma
title_sort follow-up biomarkers in the evolution of prostate cancer, levels of s100a4 as a detector in plasma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820153/
https://www.ncbi.nlm.nih.gov/pubmed/36613987
http://dx.doi.org/10.3390/ijms24010547
work_keys_str_mv AT alvarezcuberomariajesus followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT aranceelena followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT desantiagoesperanza followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT sanchezpilar followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT sepulvedamariarosario followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT marreroraquel followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT lorentejoseantonio followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT gonzalezcabezuelojosemaria followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT cuencalopezsergio followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT cozarjosemanuel followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT vazquezalonsofernando followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma
AT martinezgonzalezluisjavier followupbiomarkersintheevolutionofprostatecancerlevelsofs100a4asadetectorinplasma