Micro RNAs (miRs) are small noncoding RNAs, functioning as antisense regulators of other RNAs. miR-15a and miR-16-1 genes are located at chromosome 13q14, a region which is frequently deleted in pituitary tumors. An inverse correlation has been shown in B cell chronic lymphocytic leukemia (B-CLL) between miR-15a and miR-16-1 expression and the expression levels of arginyl-tRNA synthetase (RARS), an enzyme which associates with the cofactor p43 in the aminoacyl-tRNA synthetase complex. When secreted, p43 regulates local inflammatory response and macrophage chemotaxis, and seems to have anti-neoplastic properties in mice. We explored miR-15a and miR-16-1 expression in 10 GH-secreting and in 10 PRL-secreting pituitary macroadenomas by Northern blot, and investigated the possible correlation with in vivo and in vitro characteristics. We found that miR-15a and miR-16-1 are expressed at lower levels in pituitary adenomas as compared to normal pituitary tissue. Moreover, their expression inversely correlates with tumor diameter and with RARS expression (P < 0.05), but directly correlates with p43 secretion (P < 0.02). Therefore, miR15 and miR16 down-regulation in pituitary adenomas correlates with a greater tumor diameter and a lower p43 secretion, suggesting that these genes may, at least in part, influence tumor growth.
MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression by targeting mRNA. It has been demonstrated that miRNA expression is altered in many human cancers, suggesting that they may play a role in human neoplasia. To determine whether miRNA expression is altered in pituitary adenomas, we analyzed the entire miRNAome in 32 pituitary adenomas and in 6 normal pituitary samples by microarray and by Real-Time PCR. Here, we show that 30 miRNAs are differentially expressed between normal pituitary and pituitary adenomas. Moreover, 24 miRNAs were identified as a predictive signature of pituitary adenoma and 29 miRNAs were able to predict pituitary adenoma histotype. miRNA expression could differentiate micro- from macro-adenomas and treated from non-treated patient samples. Several of the identified miRNAs are involved in cell proliferation and apoptosis, suggesting that their deregulated expression may be involved in pituitary tumorigenesis. Predictive miRNAs could be potentially useful diagnostic markers, improving the classification of pituitary adenomas.
Objective: Papillary thyroid carcinoma (PTC) represents the majority of differentiated thyroid cancers, presenting the V600E activating BRAF mutation in 29-83% of cases. The aim of our study is to analyze the influence of BRAF mutation analysis on the diagnostic accuracy of fine-needle aspiration biopsy (FNAB) in patients with suspected PTC. Design and methods: Thyroid cytoaspirates from 469 nodules (size: 1.1G0.8 cm) with ultrasonographic features suspicious of malignant lesion, performed in 374 patients, were submitted to cytological evaluation and to biomolecular analysis, carried out after somatic DNA isolation, specific PCR amplification, and subsequent automated direct sequencing. All PCR fragments were also processed by specific enzyme restriction analysis. Results: BRAF V600E mutation was found in 48 samples, 41 of which were also cytologically diagnosed as PTC, with histologic confirmation after thyroidectomy. Total thyroidectomy was perfomed also in seven patients with negative cytology but positive BRAF mutation, with histological confirmation of PTC in all. Among the 429 BRAF-negative samples, 407 had negative cytology for PTC, while 22 were diagnosed as suspected PTC and underwent total thyroidectomy with histological diagnosis of PTC in 17 and benign lesion in five. The prevalence of BRAF V600E mutation among histologically diagnosed PTC patients was 64%. Biomolecular analysis significantly increased cytology sensitivity for PTC from 77.3 to 86.7% (P!0.01). Conclusions: These data indicate that BRAF V600E mutation analysis can significantly improve FNAB diagnostic accuracy. However, biomolecular analysis is complementary to cytology, which should always be performed.
Somatostatin (SRIF) analogs interacting with SRIF receptor subtype (SSTR) 2 and SSTR5 are known to reduce secretion in GH-secreting pituitary adenomas. We investigated the effects of SRIF and a SSTR1 selective agonist, BIM-23926, on GH and prolactin (PRL) secretion and cell viability in primary cultures deriving from 15 GH- and PRL-secreting adenomas expressing SSTR1. Quantitative RT-PCR showed SSTR1 mRNA mean levels of 6 +/- 2.2 x 10(4) molecules/ microg reverse-transcribed total RNA. SSTR2 and SSTR5 were frequently expressed (93.3%), on the contrary of SSTR3 (53.3%) and SSTR4 (6.7%). GH secretion was significantly reduced by SRIF and BIM-23926 (45 +/- 8.6% and 32 +/- 18.1% inhibition, respectively) as well as PRL secretion (16.1 +/- 4% and 19.7 +/- 3.5% inhibition, respectively). After treatment with SRIF and BIM-23926, cell viability was significantly reduced by 17.5 +/- 5% and 20 +/- 3.9%, respectively. SSTR1 mRNA levels correlated with the degree of GH and PRL secretion inhibition. These results demonstrate that SSTR1 selective activation inhibits hormone secretion and cell viability in GH- and PRL-secreting adenomas in vitro and suggest that SRIF analogs with affinity for SSTR1 may be useful to control hormone hypersecretion and reduce neoplastic growth of pituitary adenomas.
Everolimus reduced NFA cell viability by inducing apoptosis, with a mechanism likely involving IGF-I signaling but not VEGF secretion, suggesting that it might represent a possible medical treatment of invasive/recurrent NFAs.
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