A bronchogenic cyst, presenting as a retroperitoneal cystic mass

Bronchogenic cysts are mostly benign, congenital abnormalities originating from the remnants of the primitive foregut. A retroperitoneal location is rare. Due to the mostly asymptomatic behavior and the historical confusion regarding histology, an exact prevalence is not known. We present here a case report of a retroperitoneal bronchogenic cyst. A literature review was performed for cases of retroperitoneal bronchogenic cysts written in English. Anatomopathological criteria for inclusion were pseudo stratified, ciliated, columnar epithelium together with the presence of at least one of the following: cartilage, smooth muscle or seromucous glands. In addition, the embryology, pathogenesis, radiological, clinical and suggested treatment modalities are reviewed. We report the surgical excision of a retroperitoneal bronchogenic cyst that presented as a non-functioning left adrenal mass. Our review of literature revealed only 62 potential cases of retroperitoneal bronchogenic cysts. After applying the strict anatomopathological criteria, only 30 cases of true retroperitoneal bronchogenic cysts could be identified. Retroperitoneal location of a bronchogenic cyst is rare. Despite the rarity of this pathologic entity, bronchogenic cysts should be considered in the differential diagnosis of retroperitoneal cystic lesions. Only histology can confirm definitive diagnosis. Surgery remains the recommended treatment of choice

Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles

Saliva is a readily accessible and informative biofluid, making it ideal for the early detection of a wide range of diseases including cardiovascular, renal, and autoimmune diseases, viral and bacterial infections and, importantly, cancers. Saliva-based diagnostics, particularly those based on metabolomics technology, are emerging and offer a promising clinical strategy, characterizing the association between salivary analytes and a particular disease. Here, we conducted a comprehensive metabolite analysis of saliva samples obtained from 215 individuals (69 oral, 18 pancreatic and 30 breast cancer patients, 11 periodontal disease patients and 87 healthy controls) using capillary electrophoresis time-of-flight mass spectrometry (CE-TOF-MS). We identified 57 principal metabolites that can be used to accurately predict the probability of being affected by each individual disease. Although small but significant correlations were found between the known patient characteristics and the quantified metabolites, the profiles manifested relatively higher concentrations of most of the metabolites detected in all three cancers in comparison with those in people with periodontal disease and control subjects. This suggests that cancer-specific signatures are embedded in saliva metabolites. Multiple logistic regression models yielded high area under the receiver-operating characteristic curves (AUCs) to discriminate healthy controls from each disease. The AUCs were 0.865 for oral cancer, 0.973 for breast cancer, 0.993 for pancreatic cancer, and 0.969 for periodontal diseases. The accuracy of the models was also high, with cross-validation AUCs of 0.810, 0.881, 0.994, and 0.954, respectively. Quantitative information for these 57 metabolites and their combinations enable us to predict disease susceptibility. These metabolites are promising biomarkers for medical screening