Ovarian large cell neuroendocrine carcinoma in the youngest woman.

Large cell neuroendocrine carcinoma (LCNC) of the ovary is a rare tumor in gynecologic oncologic field. An 18-year-old woman presented with abdominal distention and a pelvic mass measuring ten cm in diameter, who previously underwent laparoscopic ovarian cystectomy due to large borderline mucinous ovarian neoplasm 18 months prior. A debulking operation was optimally performed, which included total abdominal hysterectomy with bilateral salpingo-oophorectomy, bilateral pelvic lymph node dissection, bilateral paraaortic lymph node dissection, omentectomy, optimal debulking of gastrohepatic mass and subdiaphragmatic mass, and pelvic peritonectomy. Despite adjuvant chemotherapy with paclitaxel and carboplatin, the patient died of progressive disease seven months after surgery. The authors report the youngest case of LCNC of the ovary, that failed chemotherapy and had the previous history of the conservative surgical treatment due to mucinous borderline tumor.

Expression of corticotropin releasing factor, but not its binding protein, in CA1 pyramidal cells of gerbil hippocampus following transient ischemia.

Recently, the ectopic expression of corticotropin-releasing factor (CRF) has been suggested as being associated with processes linked to neuronal injury and/or degeneration in response to a brain insult. However, there is little experimental data linking CRF directly to neuronal death induced by ischemia. Therefore, in the present study, we investigated the temporal and spatial alteration of CRF and its binding protein expressions in the hippocampus after transient ischemia. As a result, we found the selective increase of CRF immunoreactivity in the CA1 pyramidal cells and their processes at only 4 days post-ischemic insult. In contrast, CRF binding protein immunoreactivity was rarely detected in the CA1 region. These results suggest that transient ischemia may provoke selectively ectopic expression of CRF, but not of its binding protein, in vulnerable regions, and this enhancement of CRF may play important roles in the neurodegenerative process.

Increased levels of interleukin-6 are associated with lymphocytosis in bronchoalveolar lavage fluids of idiopathic nonspecific interstitial pneumonia.

Local overexpression of interleukin-6 (IL-6) experimentally induces lymphocytic infiltration in the bronchial tree of rat. Among idiopathic interstitial pneumonia (IIP), nonspecific interstitial pneumonia/fibrosis (NSIP) has an increased number of lymphocytes in bronchoalveolar lavage (BAL) fluid when compared with usual interstitial pneumonia (UIP). To reveal a relation of IL-6 with the lymphocyte infiltration of NSIP, IL-6 was measured in BAL fluids of idiopathic NSIP (n = 7), idiopathic UIP (n = 16), and normal control subjects (n = 45). IL-6-producing sites were assessed by IL-6 protein stain on biopsy specimens of NSIP, UIP, and normal lung of mediastinal tumors. Lymphocyte numbers and IL-6 levels in BAL fluids were higher in NSIP than those in UIP (p < 0.01, respectively), which were also higher when compared with those of normal control subjects (p < 0.01, respectively). In NSIP, the levels of IL-6 correlated with the number of lymphocytes (r = 0.93, p < 0.01). UIP cases were divided into two groups: high-UIP (n = 7) or low-UIP (n = 9) according to IL-6 levels greater than or within the 95 percentile of normal control subjects, respectively. The high-UIP group had BAL lymphocytosis when compared with the low-UIP group (p < 0.05). IL-6 stained on epithelial cells of the bronchial tree and on alveolar macrophages of NSIP and UIP. In conclusion, the lymphocytosis in BAL fluid of patients with NSIP and a subgroup of UIP is associated with the high levels of IL-6 and its sources are the epithelial cells of the small airway and the alveolar macrophages.

Self-creating and organizing neural networks.

We have developed a self-creating and organizing unsupervised learning algorithm for artificial neural networks. In this study, we introduce SCONN and SCONN2 as two versions of self-creating and organizing neural network (SCONN) algorithms. SCONN creates an adaptive uniform vector quantizer (VQ), whereas SCONN2 creates an adaptive nonuniform VQ by neural-like architecture. SCONN's begin with only one output node, which has a sufficiently wide activation level, and the activation level decrease depending upon the time or the activation history. SCONN's decide automatically whether to adapt the weights of existing nodes or to create a new "son node." They are compared with two famous algorithms-the Kohonen's self organizing feature map (SOFM) (1988) as a neural VQ and the Linde-Buzo-Gray (LBG) algorithm (1980) as a traditional VQ. The results show that SCONN's have significant benefits over other algorithms.