4.7 Article

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

期刊

BIOMEDICINES
卷 10, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/biomedicines10020460

关键词

epithelial-mesenchymal transition; acromegaly; somatostatin receptor ligands (SRLs); somatostatin analogs (SSAs); RORC; SNAI1; presurgical SRLs treatment; pituitary tumors

资金

  1. Instituto de Salud Carlos III [PMP 15/00027]
  2. Novartis

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Acromegaly is a condition caused by excessive growth hormone production due to a pituitary tumor. This study examines the relationship between epithelial-mesenchymal transition (EMT) and resistance to somatostatin receptor ligands (SRLs) in GH-producing tumors. The findings suggest that EMT-related gene expression patterns are heterogeneous, which may explain the varying responses to SRLs.
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 SNAll 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.

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