The study looked for an optimal set of genes differentiating between papillary thyroid cancer (PTC) and normal thyroid tissue and assessed the sources of variability in gene expression profiles. The analysis was done by oligonucleotide microarrays (GeneChip HG-U133A) in 50 tissue samples taken intraoperatively from 33 patients (23 PTC patients and 10 patients with other thyroid disease). In the initial group of 16 PTC and 16 normal samples, we assessed the sources of variability in the gene expression profile by singular value decomposition which specified three major patterns of variability. The first and the most distinct mode grouped transcripts differentiating between tumor and normal tissues. Two consecutive modes contained a large proportion of immunity-related genes. To generate a multigene classifier for tumor-normal difference, we used support vector machines-based technique (recursive feature replacement). It included the following 19 genes: DPP4, GJB3, ST14, SERPINA1, LRP4, MET, EVA1, SPUVE, LGALS3, HBB, MKRN2, MRC2, IGSF1, KIAA0830, RXRG, P4HA2, CDH3, IL13RA1, and MTMR4, and correctly discriminated 17 of 18 additional PTC/normal thyroid samples and all 16 samples published in a previous microarray study. Selected novel genes (LRP4, EVA1, TMPRSS4, QPCT, and SLC34A2) were confirmed by Q-PCR.Our results prove that the gene expression signal of PTC is easily detectable even when cancer cells do not prevail over tumor stroma. We indicate and separate the confounding variability related to the immune response. Finally, we propose a potent molecular classifier able to discriminate between PTC and nonmalignant thyroid in more than 90% of investigated samples.

PURPOSE: The study was undertaken to evaluate the frequency of inherited medullary thyroid carcinoma (MTC) among patients with apparent sporadic disease. A stepwise algorithm was used depending on clinical indices and the age of patient at MTC diagnosis. PATIENTS AND METHODS: One hundred sixteen patients with MTC verified by postoperative pathologic examination were subjected to genetic analysis of RET exons 10, 11, 13, 14, and 16 by means of polymerase chain reaction, restriction endonuclease digestion, and DNA sequencing. RESULTS: Among 116 apparent sporadic MTC patients, we identified eleven (9.5%) RET germline mutation carriers. Seven of these (6.0%) were found by routine analysis (exons 10 and 11). The frequency of inherited disease among patients younger than 45 years at diagnosis was 10.2% by analysis of typical mutations in exons 10 and 11. Extended genetic analysis (sequencing of exons 11, 13, 14, and 16) yielded 6.1% additional diagnoses, giving a risk of 16.3% in this age group. One previously unreported mutation in exon 11 affected codon 649 (TCG>TTG, Ser>Leu). In the true sporadic MTC patients younger than 30 years at diagnosis, frequencies of 36% and 4.5% in polymorphic variants L769L and S836S, respectively, were observed. The frequency for L769L was higher than in older patients (P < .05). CONCLUSION: The frequency of inherited disease among apparent sporadic medullary thyroid carcinoma patients is close to 10% in the Polish population of MTC patients. The extended analysis of all known RET proto-oncogene mutation sites is obligatory in patients younger than 45 years at diagnosis, but we also see the need to analyze the impact of rarer mutations in older patients.

One of the critical issues in thyroid cancer diagnostic is differentiation between follicular adenoma, follicular carcinoma and the follicular variant of papillary carcinoma, which in some cases is not possible based on histopathological features only. In this paper we performed molecular profiling of thyroid tissue aiming to identify metabolites characteristic for different types of thyroid cancer. FFPE tissue specimens were analysed from 5 different types of thyroid malignancies (follicular, papillary/classical variant, papillary/follicular variant, medullary and anaplastic cancers), benign follicular adenoma and normal thyroid. Extracted metabolites were identified and semi-quantified using the GC/MS approach. There were 28 metabolites identified, whose abundances were significantly different among different types of thyroid tumours, including lipids, carboxylic acids, and saccharides. We concluded, that multi-component metabolome signature could be used for classification of different subtypes of follicular thyroid lesions. Moreover, potential applicability of the GC/MS-based analysis of FFPE tissue samples in diagnostics of thyroid cancer has been proved.

NBL1 and anillin (ANLN) genes over-expression in pancreatic carcinoma.

Progress in the diagnostics and therapy of gastro-entero-pancreatic (GEP) neuroendocrine neoplasms (NEN), the published results of new randomised clinical trials, and the new guidelines issued by the European Neuroendocrine Tumour Society (ENETS) have led the Polish Network of Neuroendocrine Tumours to update the 2013 guidelines regarding management of these neoplasms. We present the general recommendations for the management of NENs, developed by experts during the Third Round Table Conference — Diagnostics and therapy of gastro-entero-pancreatic neuroendocrine neoplasms: Polish recommendations in view of current European recommenda­tions, which took place in December 2016 in Żelechów near Warsaw. Drawing from the extensive experience of centres dealing with this type of neoplasms, we hope that we have managed to develop the optimal management system, applying the most recent achievements in the field of medicine, for these patients, and that it can be implemented effectively in Poland. These management guidelines have been arranged in the following order: gastric and duodenal NENs (including gastrinoma); pancreatic NENs; NENs of the small intestine and appendix, and colorectal NENs. Progress in the diagnostics and therapy of gastro-entero-pancreatic (GEP) neuroendocrine neoplasms (NEN), the published results of new randomised clinical trials, and the new guidelines issued by the European Neuroendocrine Tumour Society (ENETS) have led the Polish Network of Neuroendocrine Tumours to update the 2013 guidelines regarding management of these neoplasms. We present the general recommendations for the management of NENs, developed by experts during the Third Round Table Conference — Diagnostics and therapy of gastro-entero-pancreatic neuroendocrine neoplasms: Polish recommendations in view of current European recommenda­tions, which took place in December 2016 in Żelechów near Warsaw. Drawing from the extensive experience of centres dealing with this type of neoplasms, we hope that we have managed to develop the optimal management system, applying the most recent achievements in the field of medicine, for these patients, and that it can be implemented effectively in Poland. These management guidelines have been arranged in the following order: gastric and duodenal NENs (including gastrinoma); pancreatic NENs; NENs of the small intestine and appendix, and colorectal NENs.