• Journal of Yeungnam Medical Science
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• v.21 no.1
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• pp.101-107
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• 2004

Diffuse alveolar hemorrhage is a rare but serious and frequently life-threatening complication of a variety of conditions. The first goal in the management of patients with diffuse alveolar hemorrhage is to achieve or preserve stability of the respiratory status. Subsequently, the differential diagnosis is aimed at the identification of a remediable cause of the alveolar hemorrhage. The most common causes of diffuse alveolar hemorrhage with glomerulonephritis are microscopic polyangiitis and Wegener's granulomatosis, followed by Goodpasture syndrome and systemic lupus erythematosus. Microscopic polyangiitis (MPA) is a distinct systemic small vessle vasculitis affecting small sized vessels with few or no immune deposits and with no granulomatosus inflammation. The disease may involve multiple organs such as kidney, lung, skin, joint, muscle, gastrointestinal tract, eye, and nervous system. MPA is strongly associated with antineutrophil cytoplasmic autoantibody (ANCA) that is a useful serological diagnostic marker for the most common form of necrotizing vasculitis. Our report concerns a case of microscopic polyangiitis with diffuse alveolar hemorrhage in a 54-year-old man. He was admitted to our hospital due to dyspnea upon exertion and recurrent hemoptysis. Laboratory findings showed hematuria, proteinuria and deterioration of renal function. In the chest CT scan, diffuse ground glass appearance was seen in both lower lungs. A lung biopsy revealed small vessel vasculitis with intraalveolar hemorrhage and showed a positive reaction to against perinuclear ANCA. The patient was treated with prednisolone and cyclophosphamide. Chest infiltration decreased and hemoptysis and hypoxia improved. He is still being followed up in our hospital with a low dose of prednisolone.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1715-1720
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• 2013

Background: The discovery that microRNAs (miRNAs) regulate proliferation, invasion and metastasis provides a principal molecular basis of tumor heterogeneity. Microvessel distribution is an important characteristic of solid tumors, with significant hypoxia occurring in the center of tumors with low blood flow. The distribution of miR-374a in breast tumors was examined as a factor likely to be important in breast cancer progression. Methods: Breast tissue samples from 40 patients with breast cancer were classified into two groups: a highly invasive and metastatic group (HIMG) and a low-invasive and metastatic Group (LIMG). Samples were collected from the center and edge of each tumor. In each group, six specimens were examined by microRNA array, and the remaining 14 specimens were used for real-time RT-qPCR, Western blot and immunohistochemical analyses. Correlation analysis was performed for the miRNAs and target proteins. Follow-up was carried out during 28 months to 68 months after surgery, and survival data were analyzed. Results: In the LIMG, the relative content of miR-374a was lower in the center of the tumor than at its edge; in the HIMG, it was lower at the edge of the tumor, and miR-374a levels were lower in breast cancer tissues than in normal tissues. There was no difference between VEGF-A and VCAM-1 mRNA levels at the edge and center of the tumor; however, we observed a significant difference between VEGF-A and VCAM-1 protein expression levels in these two regions. There was a negative correlation between miR-374a and target protein levels. The microvessel density (MVD) was lower in the center of the tumor than at its edge in HIMG, but the LIMG vessels were uniformly distributed. There was a significant positive correlation between MVD and the number of lymph node metastases (Pearson correlation, r=0.912, P<0.01). The median follow-up time was 48.5 months. LIMG had higher rate of disease-free survival (100%, P=0.013) and longer median survival time (66 months) than HIMG, which had a lower rate of 75% and shorter median survival time (54 months). Conclusions: Our data demonstrated miR-374a to be differentially distributed in breast cancer; VEGF-A and VCAM-1 mRNA had coincident distribution, and the distribution of teh respective proteins was uneven and opposite to that for the miR-374a. These data might explain the differences in the distribution of MVD in breast cancer and variation in breast cancer prognosis.