Endocrine Abstracts

Neuroendocrine tumors are rare in young patients and usually have favorable course. We present a case of young, 13-year-old girl diagnosed with insulinoma. The diagnosis was stated on the basis of the presence of neuroglycopenic symptoms. An abdominal CT scan demonstrated a tumor localized in the head of pancreas. The patient received diazoxide as a preparation to surgery. Therapy was effective, but discontinued due to side effects. Patient underwent the Whipple operation. Dur...

Although neuroendocrine tumours (NET) constitute a very heterogeneous group, they express somatostatin receptors in more than 80% of cases that allows for their effective diagnosis and treatment with somatostatin analogues. Introduction in the recent years of new somatostatin analogues and chelators feasible for labelling with radiometals allowed for development of new therapeutic strategy – radiopeptide therapy. The aim of the work is to present experience with 90</...

Tumors derived from chromaffine tissue include pheochromocytomas (tumors located in adrenal medulla) and paragangliomas (extraadrenal tumors). These tumors are in 20–25% inherited. Paragangliomas are even rarer and are presented either as familial disease or pheochromocytoma-paraganglioma syndrome (PPS). The mutations in SDH genes (SDHB, SDHD) are suspected for causing the syndrome.The aim of present study is to look for germline mutat...

We performed the analysis of correlation between gene expression profile of the papillary thyroid cancer PTC tumors and known clinical factors influencing the outcome of the disease. Gene expression profile was assessed on Human Genome U133A array (Affymetrix). We examined tumors samples obtained from 49 patients diagnosed with PTC. For further evaluation we included following factors: sex, age, tumor size, capsule invasion, multifocality, vascular invasion, lymph node and dis...

We apply the oligonucleotide microarray technology to study the expression profile of differentiated thyroid cancer (DTC) and to select transcripts which differentiate between its subclasses. We use state-of-the-art bioinformatic techniques, based on Support Vector Machines algorithms, to select not only the single ‘solitary’ markers but rather the sets of genes which are taken into account cooperatively to enhance the diagnosis accuracy. Simultaneously, we try to me...