Hyaluronan metabolism is associated with DNA repair genes in breast and colorectal cancer: Screening of potential progression markers using qPCR

In this work, we compared mRNA levels of Hyaluronan (HA) metabolism members and BRCA genes, known to be involved in the tumoral process, between tumor and non-tumor adjacent tissue and its correlation with previously proposed biomarkers (ER, PR, HER2 and KI67) in order to assess their value as a pro...

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Detalles Bibliográficos
Autores: Sevic, Ina, Spinelli, Fiorella Mercedes, Vitale, Daiana Luján, Icardi, Antonella, Romano, María Lucia, Brandone, Alejandra, Giannoni, Ana Paula, Cristina, Silvia Carolina, Bolontrade, Marcela Fabiana, Alaniz, Laura Daniela
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/141249
Acceso en línea:http://hdl.handle.net/11336/141249
Access Level:acceso abierto
Palabra clave:BREAST CANCER
COLORECTAL CANCER
HYALURONAN
HYALURONAN METABOLISM
QPCR
TUMOR MICROENVIRONMENT
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
Descripción
Sumario:In this work, we compared mRNA levels of Hyaluronan (HA) metabolism members and BRCA genes, known to be involved in the tumoral process, between tumor and non-tumor adjacent tissue and its correlation with previously proposed biomarkers (ER, PR, HER2 and KI67) in order to assess their value as a progression biomarkers. We show alteration in HA metabolism in colorectal but not breast cancer. However, we found a decrease in Hyaluronidase 1 HYAL1 levels in the breast but not colorectal cancer. We also show lower HA levels in tumor compared with normal tissue that could indicate a possible influence of tumor on its surrounding "normal" tissue. In both breast and colorectal cancer, CD44 and BRCA2 showed a strong positive correlation. Besides, our results show first indicators that qPCR of the analyzed genes could be used as an easy and low cost procedure for the evaluation of molecular markers we propose here.