Objective: To determine whether the somatostatin receptor subtype (SSTR) expression profile correlates with hormonal and tumor volume responses to postsurgical octreotide long acting repeatable (OCT LAR) treatment. Design and methods: Quantitative real-time RT-PCR was used to evaluate the absolute mRNA copy numbers for all five SSTR subtypes in 22 somatotropinomas. Response to OCT LAR was studied by hormone levels (GH and IGF-I) and tumor volume (sella turcica magnetic resonance imaging). Results: SSTR5 was present at the highest level followed by SSTR2, SSTR3, SSTR1, and SSTR4 (2327 (1046-5555), 2098, 97 (0-460), 14 (0-29 480), and 0 (0-652) copies respectively). Positive correlations were found between SSTR2 levels and the percentage decrease of GH and IGF-I after 3 (rZ0.49, P!0.027 and rZ0.49, P!0.029 respectively) and 6 (rZ0.59, P!0.006 and rZ0.58, P!0.008 respectively) months of OCT LAR. A negative correlation was found between SSTR5 mRNA levels and the percentage decrease of GH after 3 months of OCT LAR (rZK0.52, PZ0.016, nZ21). A higher SSTR2/SSTR5 ratio was observed among patients who obtained hormonal control with OCT LAR, when compared with those uncontrolled (2.4 (0.7-10) vs 0.3 (0.1-7.7), PZ0.001). A ROC curve analysis showed a SSTR2/SSTR5 ratio of 1.3 as the best predictor of disease control, with a sensitivity of 88% and a specificity of 92% -area under curve, 0.9. A positive correlation was also found between SSTR2 mRNA levels and the percentage decrease in tumor volume after 6 months of OCT LAR (rZ0.79, PZ0.002, nZ12). Conclusions: Somatostatin receptor subtype 2 mRNA expression levels in somatotropinomas correlate positively with in vivo hormonal and tumor volume responses to OCT LAR. European Journal of Endocrinology 158 295-303

DR2 is the predominant DR subtype in NPs, NFPAs, and somatotropinomas. The fact that DR1, DR4, and DR5 are also expressed in many adenomas tested suggests that these receptors might also play a role in the therapeutic impact of postsurgical medical therapies in patients with NFPA and acromegaly. This was supported by the finding that the in vivo response to octreotide-LAR was negatively associated with DR1 and positively associated with DR5.

Background Giant prolactinomas are an unusual subset of macroprolactinomas and are more commonly found in men.

The deposits of fat on the surroundings of the heart are correlated to several health risk factors such as atherosclerosis, carotid stiffness, coronary artery calcification, atrial fibrillation and many others. These deposits vary unrelated to obesity, which reinforces its direct segmentation for further quantification. However, manual segmentation of these fats has not been widely deployed in clinical practice due to the required human workload and consequential high cost of physicians and technicians. In this work, we propose a unified method for an autonomous segmentation and quantification of two types of cardiac fats. The segmented fats are termed epicardial and mediastinal, and stand apart from each other by the pericardium. Much effort was devoted to achieve minimal user intervention. The proposed methodology mainly comprises registration and classification algorithms to perform the desired segmentation. We compare the performance of several classification algorithms on this task, including neural networks, probabilistic models and decision tree algorithms. Experimental results of the proposed methodology have shown that the mean accuracy regarding both epicardial and mediastinal fats is 98.5% (99.5% if the features are normalized), with a mean true positive rate of 98.0%. In average, the Dice similarity index was equal to 97.6%.

No abstract

Acromegaly appears to have a deleterious effect on trabecular bone microarchitecture, and in this specific population, the gonadal status might be more important than T2DM or acromegaly activity in determining bone health. High-resolution peripheral quantitative computed tomography seems promising for evaluating acromegalic bone properties and for addressing the limitations posed by dual-energy x-ray absorptiometry.

Background: Some pituitary adenomas exhibit fast growth and invade surrounding structures. To date, there is no robust marker to predict invasiveness. Aim: To evaluate Ki-67, p53 and aryl hydrocarbon receptor-interacting protein (AIP) expression and compare these between invasive and noninvasive somatotropinomas and nonfunctioning pituitary adenomas (NFPAs). Methods: Protein expression was determined by immunohistochemistry. Tumors were classified according to percentage of immunolabeled nuclei for Ki-67 and p53. AIP immunopositivity was graded according to a score encompassing pattern and intensity. Invasiveness was defined according to radiological and surgical criteria. Results: Thirty-eight sporadic somatotropinomas were studied. Median Ki-67 labeling index in invasive and noninvasive tumors was 1.6 (range 0–20.6) and 0.26 (0–2.2), respectively (p = 0.01). With a 2.3% cut-off point obtained by ROC curve analysis, invasive adenomas were distinguished with 100% specificity, 39% sensitivity, and 63% accuracy. Low AIP expression was also correlated with tumor invasiveness (p = 0.001), with sensitivity, specificity and accuracy of 78, 80, and 79%, respectively. Expression of p53 was not different among tumors. Twenty-nine NFPAs were studied, with no significant difference between Ki-67, p53 and AIP expression in invasive and noninvasive tumors. High AIP expression was more frequent in NFPAs, with Ki-67 >3% (p = 0.051), especially when only gonadotrope cell adenomas (n = 25) were considered (p = 0.012). Conclusions: These data suggest, for the first time, that AIP is a better marker of invasiveness in somatotropinomas than Ki-67 and p53. In addition, low AIP expression is observed in invasive somatotropinomas, in contrast with high AIP expression in NFPAs (mainly gonadotrope cell tumors) with high proliferative indices.

SummaryObjective Reported rates of response to medical therapies used in Cushing's disease (CD) vary widely. The aim of this review is to analyse systematically the efficacy of medical therapies for CD and to assess the strength of the supporting evidence. Methods Systematic PubMed searches identified studies of medical treatment in CD. The GRADE criteria were imposed to assess the strength of evidence supporting each medication. Results Fifteen studies were included. Ten studies specifically reported response rates for patients with CD. Pasireotide was the only treatment to be assessed in a randomized trial and was supported by a 'moderate' level of evidence. Response rates with pasireotide from three prospective studies were 17-29%. The remaining medications were supported by a 'low' or 'very low' level of evidence. The highest response rates were reported in small retrospective studies of metyrapone (75%, one study) and mitotane (72%, one study). Response rates were 25-50% for cabergoline (four studies) and 45% for ketoconazole (one study). Among studies that included patients with other forms of Cushing's syndrome, response rates were 53-88% for ketoconazole (three studies), 70% for mitotane (one study), 57% for metyrapone (one study) and 38-60% for mifepristone. Again, all of these medications are supported by a 'low' level of evidence. Conclusions There is a paucity of high-quality studies of medical therapy in CD, with only one medication achieving a 'moderate' level of evidence. Caution should be employed when comparing efficacy rates owing to the variability in study design and quality.