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Implications of Heterogeneity of Epithelial-Mesenchymal States in Acromegaly Therapeutic Pharmacologic Response

Authors :
Gil, Joan
Marques-Pamies, Montserrat
Valassi, Elena
García-Martínez, Araceli
Serra, Guillermo
Hostalot, Cristina
Fajardo-Montañana, Carmen
Carrato, Cristina
Bernabeu, Ignacio
Marazuela, Mónica
Rodríguez-Lloveras, Helena
Cámara, Rosa
Salinas, Isabel
Lamas, Cristina
Biagetti, Betina
Simó-Servat, Andreu
Webb, S. M
Picó, Antonio
Jordà, Mireia
Puig Domingo, Manuel
Gil, Joan
Marques-Pamies, Montserrat
Valassi, Elena
García-Martínez, Araceli
Serra, Guillermo
Hostalot, Cristina
Fajardo-Montañana, Carmen
Carrato, Cristina
Bernabeu, Ignacio
Marazuela, Mónica
Rodríguez-Lloveras, Helena
Cámara, Rosa
Salinas, Isabel
Lamas, Cristina
Biagetti, Betina
Simó-Servat, Andreu
Webb, S. M
Picó, Antonio
Jordà, Mireia
Puig Domingo, Manuel
Publication Year :
2022

Abstract

Acromegaly is caused by excess growth hormone (GH) produced by a pituitary tumor. First-generation somatostatin receptor ligands (SRLs) are the first-line treatment. Several studies have linked E-cadherin loss and epithelial-mesenchymal transition (EMT) with resistance to SRLs. Our aim was to study EMT and its relationship with SRLs resistance in GH-producing tumors. We analyzed the expression of EMT-related genes by RT-qPCR in 57 tumors. The postsurgical response to SRLs was categorized as complete response, partial response, or nonresponse if IGF-1 was normal, had decreased more than 30% without normalization, or neither of those, respectively. Most tumors showed a hybrid and variable EMT expression profile not specifically associated with SRL response instead of a defined epithelial or mesenchymal phenotype. However, high SNAI1 expression was related to invasive and SRL-nonresponsive tumors. RORC was overexpressed in tumors treated with SRLs before surgery, and this increased expression was more prominent in those cases that normalized postsurgical IGF-1 levels under SRL treatment. In conclusion, GH-producing tumors showed a heterogeneous expression pattern of EMT-related genes that would partly explain the heterogeneous response to SRLs. SNAI1 and RORC may be useful to predict response to SRLs and help medical treatment decision making.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1337030429
Document Type :
Electronic Resource