[18F]-FDHT PET/CT as a tool for imaging androgen receptor expression in high-grade glioma

Orevi, Marina; Shamni, Ofer; Zalcman, Nomi; Chicheportiche, Alexandre; Mordechai, Anat; Moscovici, Samuel; Shoshan, Yigal; Shahar, Tal; Charbit, Hanna; Gutreiman, Mijal; Paldor, Iddo; Mishani, Eyal; Lossos, Alexander; Lavon, Iris

doi:10.1093/noajnl/vdab019

Cited by 9 publications

(15 citation statements)

References 18 publications

(12 reference statements)

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“…Our observations of different levels of AR protein expression in different GBM tumor structures indirectly confirm the results of the study by Orevi et al [ 31 ]. In their work, the authors used imaging to identify AR-positive gliomas.…”

Section: Discussionsupporting

confidence: 92%

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Androgen Receptor Expression in the Various Regions of Resected Glioblastoma Multiforme Tumors and in an In Vitro Model

Simińska

Korbecki

Kojder

et al. 2022

IJMS

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Glioblastoma multiforme (GBM) is a malignant glioma, difficult to detect and with the lowest survival rates among gliomas. Its greater incidence among men and its higher survival rate among premenopausal women suggest that it may be associated with the levels of androgens. As androgens stimulate the androgen receptor (AR), which acts as a transcription factor, the aim of this study was the investigate the role of AR in the progression of GBM. The study was conducted on tissues collected from three regions of GBM tumors (tumor core, enhancing tumor region, and peritumoral area). In addition, an in vitro experiment was conducted on U-87 cells under various culture conditions (necrotic, hypoxic, and nutrient-deficient), mimicking the conditions in a tumor. In both of the models, androgen receptor expression was determined at the gene and protein levels, and the results were confirmed by confocal microscopy and immunohistochemistry. AR mRNA expression was higher under nutrient-deficient conditions and lower under hypoxic conditions in vitro. However, there were no differences in AR protein expression. No differences in AR mRNA expression were observed between the tested tumor structures taken from patients. No differences in AR mRNA expression were observed between the men and women. However, AR protein expression in tumors resected from patients was higher in the enhancing tumor region and in the peritumoral area than in the tumor core. In women, higher AR expression was observed in the peritumoral area than in the tumor core. AR expression in GBM tumors did not differ significantly between men and women, which suggests that the higher incidence of GBM in men is not associated with AR expression. In the group consisting of men and women, AR expression varied between the regions of the tumor: AR expression was higher in the enhancing tumor region and in the peritumoral area than in the tumor core, showing a dependence on tumor conditions (hypoxia and insufficient nutrient supply).

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Section: Discussionsupporting

confidence: 92%

“…However, this may be due to different post-transcriptional processes in these structures. This assumption is supported by the observation of Zalcman et al [ 22 ] and Orevi et al [ 31 ], who found no correlation between AR mRNA and AR protein expressions.…”

Section: Discussionsupporting

confidence: 55%

Androgen Receptor Expression in the Various Regions of Resected Glioblastoma Multiforme Tumors and in an In Vitro Model

Simińska

Korbecki

Kojder

et al. 2022

IJMS

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“…The overexpression of androgen receptor (AR) is demonstrated in the majority of glioblastoma multiforme (GBM) specimens; Shamni et al [1,5] evaluated whether 16β-18 Ffluoro-5α-dihydrotestosterone ([ 18 F]-FDHT) could detect and quantify AR expression in GBM patients, in order to select candidates who might benefit from AR antagonist therapy. Preliminary results in 12 patients indicate that [ 18 F]-FDHT PET/CT might be a helpful tool for selecting those patients, also allowing treatment response evaluation.…”

Section: Innovationmentioning

confidence: 99%

Highlights of 33rd EANM Annual Congress 2020, virtual edition

Pini

Gelardi

Hustinx

et al. 2021

Eur J Nucl Med Mol Imaging

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“…They are easily affected by certain objective factors, such as the doctor's experience, mental state, and the quality of CT imaging. This is not only time-consuming and labor-intensive but also causes risk of misdiagnosis and missed diagnosis [ 15 – 17 ].…”

Section: Introductionmentioning

confidence: 99%

Exploration of CT Images Based on the BN‐U‐net‐W Network Segmentation Algorithm in Glioma Surgery

Yuan

et al. 2022

Contrast Media & Molecular Imaging

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This study aimed to explore the application value of computed tomography (CT) imaging features based on the deep learning batch normalization (batch normalization, BN) U-net-W network image segmentation algorithm in evaluating and diagnosing glioma surgery. 72 patients with glioma who were admitted to hospital were selected as the research subjects. They were divided into a low-grade group (grades I-II, N = 27 cases) and high-grade group (grades III-IV, N = 45 cases) according to postoperative pathological examination results. The CT perfusion imaging (CTPI) images of patients were processed by using the deep learning-based BN-U-net-W network image segmentation algorithm. The application value of the algorithm was comprehensively evaluated by comparing the average Dice coefficient, average recall rate, and average precision of the BN-U-net-W network image segmentation algorithm with the U-net and BN-U-net network algorithms. The results showed that the Dice coefficient, recall, and precision of the BN-U-net-W network were 86.31%, 88.43%, and 87.63% respectively, which were higher than those of the U-net and BN-U-net networks, and the differences were statistically significant ( P < 0.05 ). Cerebral blood flow (CBF), cerebral blood volume (CBV), and capillary permeability (PMB) in the glioma area were 56.85 mL/(min·100 g), 18.03 mL/(min·100 g), and 8.57 mL/100 g, respectively, which were significantly higher than those of normal brain tissue, showing statistically significant differences ( P < 0.05 ). The mean transit time (MTT) difference between the two was not statistically significant ( P > 0.05 ). The receiver operating characteristic (ROC) curves of CBF, CBV, and PMB in CTPI parameters of glioma had area under the curve (AUC) of 0.685, 0.724, and 0.921, respectively. PMB parameters were significantly higher than those of CBF and CVB, and the differences were statistically obvious ( P < 0.05 ). It showed that the BN-U-net-W network model had a better image segmentation effect, and CBF, CBV, and PMB showed better sensitivity in diagnosing glioma tissue and normal brain tissue and high-grade and low-grade gliomas, among which PBM showed the highest predictability.

show abstract

[18F]-FDHT PET/CT as a tool for imaging androgen receptor expression in high-grade glioma

Cited by 9 publications

References 18 publications

Androgen Receptor Expression in the Various Regions of Resected Glioblastoma Multiforme Tumors and in an In Vitro Model

Androgen Receptor Expression in the Various Regions of Resected Glioblastoma Multiforme Tumors and in an In Vitro Model

Highlights of 33rd EANM Annual Congress 2020, virtual edition

Exploration of CT Images Based on the BN‐U‐net‐W Network Segmentation Algorithm in Glioma Surgery

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