An extremely rare association of TSH-secreting pituitary adenoma, metastatic neuroendocrine tumor and Cushing’s syndrome in a patient with MEN-1 gene mutation

Multiple endocrine neoplasia (MEN)-1 syndrome is a rare disorder, due to the loss of function of the tumor suppressor menin. It consists of the association of two or more endocrine tumors, often presenting in a familial setting, being inherited in an autosomal dominant fashion. The most frequent manifestations of MEN-1 syndrome are primary hyperparathyroidism, followed by pituitary adenomas (mainly prolactinomas) and gastrointestinal neuroendocrine tumors, but several other associated conditions have been reported. Herein we describe the case of a male patient, affected by sporadic MEN-1, diagnosed with primary hyperparathyroidism, TSH-secreting pituitary adenoma and bilateral adrenal hyperplasia causing Cushing’s syndrome, due to a de novo MEN-1 gene mutation. The patient has been successfully treated with first generation somatostatin analog Octreotide LAR (30 mg every 28 days) -with stabilization of the known neuroendocrine lesions and shrinkage of the pituitary adenoma- and with bilateral adrenalectomy. The patient is still regularly followed-up at our Endocrine Unit, and his clinical conditions are stable

Pharmacogenetic and pharmacogenomic discovery strategies

Genetic/genomic profiling at a single-patient level is expected to provide critical information for determining inter-individual drug toxicity and potential efficacy in cancer therapy. A better definition of cancer subtypes at a molecular level, may correspondingly complement such pharmacogenetic and pharmacogenomic approaches, for more effective personalized treatments. Current pharmacogenetic/pharmacogenomic strategies are largely based on the identification of known polymorphisms, thus limiting the discovery of novel or rarer genetic variants. Recent improvements in cost and throughput of next generation sequencing (NGS) are now making whole-genome profiling a plausible alternative for clinical procedures. Beyond classical pharmacogenetic/pharmacogenomic traits for drug metabolism, NGS screening programs of cancer genomes may lead to the identification of novel cancer-driving mutations. These may not only constitute novel therapeutic targets, but also effector determinants for metabolic pathways linked to drug metabolism. An additional advantage is that cancer NGS profiling is now leading to discovering targetable mutations, e.g., in glioblastomas and pancreatic cancers, which were originally discovered in other tumor types, thus allowing for effective repurposing of active drugs already on the market

Non-Small Cell Lung Cancer Testing on Reference Specimens: An Italian Multicenter Experience

Abstract Introduction Biomarker testing is mandatory for the clinical management of patients with advanced non-small cell lung cancer (NSCLC). Myriads of technical platforms are now available for biomarker analysis with differences in terms of multiplexing capability, analytical sensitivity, and turnaround time (TAT). We evaluated the technical performance of the diagnostic workflows of 24 representative Italian institutions performing molecular tests on a series of artificial reference specimens built to mimic routine diagnostic samples. Methods Sample sets of eight slides from cell blocks of artificial reference specimens harboring exon 19 EGFR (epidermal growth factor receptor) p.E746_AT50del, exon 2 KRAS (Kirsten rat sarcoma viral oncogene homologue) p.G12C, ROS1 (c-ros oncogene 1)-unknown gene fusion, and MET (MET proto-oncogene, receptor tyrosine kinase) Δ exon 14 skipping were distributed to each participating institution. Two independent cell block specimens were validated by the University of Naples Federico II before shipment. Methodological and molecular data from reference specimens were annotated. Results Overall, a median DNA concentration of 3.3 ng/µL (range 0.1–10.0 ng/µL) and 13.4 ng/µL (range 2.0–45.8 ng/µL) were obtained with automated and manual technical procedures, respectively. RNA concentrations of 5.7 ng/µL (range 0.2–11.9 ng/µL) and 9.3 ng/µL (range 0.5–18.0 ng/µL) were also detected. KRAS exon 2 p.G12C, EGFR exon 19 p.E736_A750del hotspot mutations, and ROS1 aberrant transcripts were identified in all tested cases, whereas 15 out of 16 (93.7%) centers detected MET exon 14 skipping mutation. Conclusions Optimized technical workflows are crucial in the decision-making strategy of patients with NSCLC. Artificial reference specimens enable optimization of diagnostic workflows for predictive molecular analysis in routine clinical practice