Tumours of the anterior pituitary can manifest from all endocrine cell types but the mechanisms for determining their specification are not known. The Hippo kinase cascade is a crucial signalling pathway regulating growth and cell fate in numerous organs. There is mounting evidence implicating this in tumour formation, where it is emerging as an anti-cancer target. We previously demonstrated activity of the Hippo kinase cascade in the mouse pituitary and nuclear association of its effectors YAP/TAZ with SOX2-expressing pituitary stem cells. Here, we sought to investigate whether these components are expressed in the human pituitary and if they are deregulated in human pituitary tumours. Analysis of pathway components by immunofluorescence reveals pathway activity during normal human pituitary development and in the adult gland. Poorly differentiated pituitary tumours (null-cell adenomas, adamantinomatous craniopharyngiomas (ACPs) and papillary craniopharyngiomas (PCPs)), displayed enhanced expression of pathway effectors YAP/TAZ. In contrast, differentiated adenomas displayed lower or absent levels. Knockdown of the kinase-encoding Lats1 in GH3 rat mammosomatotropinoma cells suppressed Prl and Gh promoter activity following an increase in YAP/TAZ levels. In conclusion, we have demonstrated activity of the Hippo kinase cascade in the human pituitary and association of high YAP/TAZ with repression of the differentiated state both in vitro and in vivo. Characterisation of this pathway in pituitary tumours is of potential prognostic value, opening up putative avenues for treatments.
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http://dx.doi.org/10.1530/ERC-18-0330 | DOI Listing |
Bioengineering (Basel)
December 2024
Department of Computer Engineering, Gachon University Sujeong-Gu, Seongnam-si 13120, Gyeonggi-Do, Republic of Korea.
Accurate segmentation of brain tumors in MRI scans is critical for diagnosis and treatment planning. Traditional segmentation models, such as U-Net, excel in capturing spatial information but often struggle with complex tumor boundaries and subtle variations in image contrast. These limitations can lead to inconsistencies in identifying critical regions, impacting the accuracy of clinical outcomes.
View Article and Find Full Text PDFBrain Sci
November 2024
Department of Computer Science, Yobe State University, Damaturu 600213, Nigeria.
Background/objectives: Magnetic Resonance Imaging (MRI) plays a vital role in brain tumor diagnosis by providing clear visualization of soft tissues without the use of ionizing radiation. Given the increasing incidence of brain tumors, there is an urgent need for reliable diagnostic tools, as misdiagnoses can lead to harmful treatment decisions and poor outcomes. While machine learning has significantly advanced medical diagnostics, achieving both high accuracy and computational efficiency remains a critical challenge.
View Article and Find Full Text PDFZhonghua Bing Li Xue Za Zhi
January 2025
Department of Pathology, the First Affiliated Hospital of University of Science and Technology of China/Anhui Provincial Hospital, Hefei230036, China.
Clin Nucl Med
January 2025
From the Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India.
Purpose: This study aimed to assess the biodistribution and radiation dosimetry of 68Ga-DATA5m LM4 in patients with gastroenteropancreatic neuroendocrine tumors.
Patients And Methods: Eight patients (5 females and 3 males) with various gastroenteropancreatic neuroendocrine tumors were included in the study. Each patient underwent 3 whole-body PET scans at 10, 60, and 120 minutes after receiving an IV injection of approximately 162.
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