Gastric Ulcer Associated with Cytomegalovirus in an Immunocompetent Patient: Method for Diagnosis

Cytomegalovirus (CMV)-associated gastric ulcers can be found not only in immunocompromised hosts but also in normal individuals. The accurate endoscopic diagnosis of CMV ulcers is not easy because of the absence of characteristic morphological features. We present a case of CMV-associated gastric ulcer in an immunocompetent patient. He was a 33-year-old male with epigastralgia. Upper gastrointestinal endoscopy showed multiple erupted papules and a large irregularly shaped shallow ulcer. We did not find intracellular inclusion bodies characteristic of CMV in hematoxylin-eosin-stained gastric biopsy specimens, while CMV antigens corresponding to intracellular inclusion bodies were confirmed using an immunoperoxidase method with the monoclonal CMV antibody. If CMV ulcers are suspected, it is important to examine for inclusion bodies using not only hematoxylin-eosin staining, but also CMV immunohistochemistry for a sensitive diagnosis

Identification of an autoantibody panel to separate lung cancer from smokers and nonsmokers

<p>Abstract</p> <p>Background</p> <p>Sera from lung cancer patients contain autoantibodies that react with tumor associated antigens (TAAs) that reflect genetic over-expression, mutation, or other anomalies of cell cycle, growth, signaling, and metabolism pathways.</p> <p>Methods</p> <p>We performed immunoassays to detect autoantibodies to ten tumor associated antigens (TAAs) selected on the basis of previous studies showing that they had preferential specificity for certain cancers. Sera examined were from lung cancer patients (22); smokers with ground-glass opacities (GGOs) (46), benign solid nodules (55), or normal CTs (35); and normal non-smokers (36). Logistic regression models based on the antibody biomarker levels among the high risk and lung cancer groups were developed to identify the combinations of biomarkers that predict lung cancer in these cohorts.</p> <p>Results</p> <p>Statistically significant differences in the distributions of each of the biomarkers were identified among all five groups. Using Receiver Operating Characteristic (ROC) curves based on age, c-myc, Cyclin A, Cyclin B1, Cyclin D1, CDK2, and survivin, we obtained a sensitivity = 81% and specificity = 97% for the classification of cancer vs smokers(no nodules, solid nodules, or GGO) and correctly predicted 31/36 healthy controls as noncancer.</p> <p>Conclusion</p> <p>A pattern of autoantibody reactivity to TAAs may distinguish patients with lung cancer versus smokers with normal CTs, stable solid nodules, ground glass opacities, or normal healthy never smokers.</p