Acromegaly is usually due to the excessive secretion of GH by a pituitary adenoma. It is frequently accompanied by comorbidities that compromise quality of life and results in elevated mortality rates. To evaluate mortality and morbidity in patients with acromegaly receiving multimodal care. Tertiary care center. Retrospective evaluation of 442 patients (65.4% women; mean age, 43.5 ± 13.1 y) followed for a median of 6 years (interquartile range [IQR], 3-10). Twenty-two patients died during the study period (4.9%), representing a total standardized mortality ratio (SMR) of 0.72 (95% confidence interval [CI], 0.41-1.03). Standardized mortality ratios were 1.5 and 0.44 for patients whose last GH was above and below 2.5 ng/mL, respectively; 1.17 and 0.16 for those whose last GH was above and below 1 ng/mL, respectively; and 0.94 and 0.46 for those whose last IGF-1 was above and below 1.2 times the upper limit of normal (ULN), respectively. The prevalence of diabetes mellitus, hypertension, heart disease, and cancer was 30%, 35%, 8%, and 4.7%, respectively. The most common cause of death was cancer. On multivariate analysis, diabetes, heart disease, and cancer were related to a baseline GH > 10 ng/mL; the presence of cancer and the last IGF-1 were significant predictors of mortality. Survival decreased as the latest GH levels increased from < 1 ng/mL to > 5 ng/mL and as IGF-1 increased from < 1.2 to > 2 times the ULN. Mortality in acromegaly can be successfully reduced, provided patients are treated using a multimodal approach with careful management of comorbidities.

Background: Currently, bariatric surgery is the most effective treatment for severe obesity and its metabolic complications; however, 15–35% of the patients that undergo bariatric surgery do not reach their goal for weight loss. The aim of this study was to determine the proportion of patients that didn’t reach the goal of an excess weight loss of 50% or more during the first 12 months and determine the factors associated to this failure. Methods: We obtained the demographic, anthropometric and biochemical information from 130 patients with severe obesity who underwent bariatric surgery in our institution between 2012 and 2017. We used self-reports of physical activity, caloric intake and diet composition. An unsuccessful weight loss was considered when the patient lost < 50% or more of the excess weight 12 months after surgery. We compared the characteristics between the successful and unsuccessful groups in order to find the factors associated with success. Results: We included 130 patients (mean age 48 ± 9 years, 81.5% were women). One year after surgery, 26 (20%) had loss < 50% EBW. Unsuccessful surgery was associated with an older age, previous history of hypertension, abdominal surgery or depression/anxiety, also the number of comorbidities and unemployment affected the results. These patients loss enough weight to improve some of their comorbidities, but they are more prone to regain weight 2 years after surgery. Conclusions: A fifth of the patients undergoing bariatric surgery may not lose enough weight to be considered successful by current standards. Some patients may benefit from the surgery in the short term, but they are more likely to regain weight after 2 years. The factors influencing this result are still controversial but may be population-specific. Early detection of the patients that are more likely to fail is imperative to establish additional therapeutic strategies, without denying them the opportunity of surgery or waiting for weight re-gain to occur.

Non-syndromic pituitary gigantism can result from AIP mutations or the recently identified Xq26.3 microduplication causing X-linked acrogigantism (XLAG). Within Xq26.3, GPR101 is believed to be the causative gene, and the c.924G > C (p.E308D) variant in this orphan G protein-coupled receptor has been suggested to play a role in the pathogenesis of acromegaly. We studied 153 patients (58 females and 95 males) with pituitary gigantism. AIP mutation-negative cases were screened for GPR101 duplication through copy number variation droplet digital PCR and high-density aCGH. The genetic, clinical and histopathological features of XLAG patients were studied in detail. 395 peripheral blood and 193 pituitary tumor DNA samples from acromegaly patients were tested for GPR101 variants. We identified 12 patients (10 females and 2 males; 7.8 %) with XLAG. In one subject, the duplicated region only contained GPR101, but not the other three genes found to be duplicated in the previously reported patients, defining a new smallest region of overlap of duplications. While females presented with germline mutations, the two male patients harbored the mutation in a mosaic state. Nine patients had pituitary adenomas, while three had hyperplasia. The comparison of the features of XLAG, AIP-positive and GPR101&AIP-negative patients revealed significant differences in sex distribution, age at onset, height, prolactin co-secretion and histological features. The pathological features of XLAG-related adenomas were remarkably similar. These tumors had a sinusoidal and lobular architecture. Sparsely and densely granulated somatotrophs were admixed with lactotrophs; follicle-like structures and calcifications were commonly observed. Patients with sporadic or familial acromegaly did not have an increased prevalence of the c.924G > C (p.E308D) GPR101 variant compared to public databases. In conclusion, XLAG can result from germline or somatic duplication of GPR101. Duplication of GPR101 alone is sufficient for the development of XLAG, implicating it as the causative gene within the Xq26.3 region. The pathological features of XLAG-associated pituitary adenomas are typical and, together with the clinical phenotype, should prompt genetic testing.

Context: Nonfunctioning pituitary adenomas (NFPA) are the most common pituitary neoplasms. There is no clinical, biochemical, or histopathological marker that would accurately predict recurrence of NFPA. Objective: The aim of this study was to evaluate a large group of NFPA for the presence of potential markers of biological behavior. Design and Setting: A cross-sectional study using a high throughput tissue microarray technology was conducted at tertiary care centers. Materials and Methods: Seventy-four gonadotroph and null cell adenomas were included in the tissue microarray. Using highly specific antibodies and appropriate controls, we determined the expression of Ki-67, pituitary tumor transforming gene 1, the N-terminally truncated pituitary tumor-derived fibroblast growth factor receptor-4 (FGFR4), as well as somatostatin receptor subtypes 2, 3, and 5 (SSTR2, -3, and -5), in an attempt to establish correlations and/or associations with clinical characteristics of the patients. Results: Median Ki-67 index was 1.49 (interquartile range, 0.62–2.49). Pituitary tumor transforming gene 1 nuclear immunoreactivity was found in all but one tumor (median percentage of positive nuclei, 11.44); immunopositivity for FGFR4 was found in the majority of the tumors, with variable levels of expression. The immunostaining score for SSTR2 was significantly higher than that for SSTR3 or SSTR5. FGFR4 expression correlated positively with SSTR2 and SSTR5 immunostaining scores (r = 0.59; P < 0.001; and r = 0.46; P < 0.001, respectively). Multivariate analysis revealed that the Ki-67 index was significantly associated with a tumor size greater than 3 cm (odds ratio, 2.32; 95% confidence interval, 1.17–4.58) as well as with tumor recurrence (odds ratio, 1.4; 95% confidence interval, 1.03–1.89). Conclusions: Ki-67 is the most consistent marker of biological behavior in NFPA. The finding of significant amounts of SSTR2 and SSTR5 may have therapeutic implications regarding the use of somatostatin analogs in preventing tumor recurrence.

Pituitary adenomas (PA) are the second most common intracranial tumors. These neoplasms are classified according to the hormone they produce. The majority of PA occur sporadically, and their molecular pathogenesis is incompletely understood. The present transcriptomic and methylomic analysis of PA revealed that they segregate into three molecular clusters according to the transcription factor driving their terminal differentiation. First cluster, driven by NR5A1, consists of clinically non-functioning PA (CNFPA), comprising gonadotrophinomas and null cell; the second cluster consists of clinically evident ACTH adenomas and silent corticotroph adenomas, driven by TBX19; and the third, POU1F1-driven TSH-, PRL- and GH-adenomas, segregated together. Genes such as CACNA2D4, EPHA4 and SLIT1, were upregulated in each of these three clusters, respectively. Pathway enrichment analysis revealed specific alterations of these clusters: calcium signaling pathway in CNFPA; renin-angiotensin system for ACTH-adenomas and fatty acid metabolism for the TSH-, PRL-, GH-cluster. Non-tumoral pituitary scRNAseq data confirmed that this clustering also occurs in normal cytodifferentiation. Deconvolution analysis identify potential mononuclear cell infiltrate in PA consists of dendritic, NK and mast cells. Our results are consistent with a divergent origin of PA, which segregate into three clusters that depend on the specific transcription factors driving late pituitary cytodifferentiation.

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