Y. Endo

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The relationship between vascular endothelial growth factor (VEGF) and lymph node metastasis was studied in 90 cases of primary lung cancer without distant metastasis. As a result of quantitative reverse transcription polymerase chain reaction (RT-PCR) analysis, the VEGF121 mRNA expression levels in lung cancer tissues with nodal metastasis (n = 35) were(More)
BACKGROUND AND AIMS Determining the gene that plays a key role in brain-gut interactions is a crucial step for clarifying the pathophysiology of irritable bowel syndrome (IBS). We previously reported that the 5-hydroxytryptamine transporter gene-linked polymorphic region (5-HTTLPR) is related to anxiety in subjects with IBS. The amygdala is more activated(More)
We assessed the inhibitory action of TNP-470 on lymph node metastasis in a metastatic model system using athymic nude mice. Mice were injected subcutaneously with 5 x 10(6) HT-1080 cells in the right groin. TNP-470 (10, 30 and 100 mg kg-1) was injected subcutaneously nine times in total every other day from the 7th day after tumour inoculation. Axillar and(More)
The patient's delay in the visit to a hospital seems to play an important role in prognosis in invasive cutaneous squamous cell carcinoma (SCC). This report explored prognostic factors of cutaneous SCC focusing on patient delay in hospital visit. Data of 117 Japanese patients who were treated for invasive cutaneous SCC in our facility between 2000 and 2010(More)
The expression of the c-erbB-2 mRNA in human embryonic lung fibroblasts, a gastric cancer cell line, mature placenta, and 25 gastric cancer tissues was examined by using the polymerase chain reaction following reverse transcription. This technique can be used to examine c-erbB-2 mRNA expression in a small endoscopic biopsy specimen before surgery.
A method to reduce noise for time-domain diffuse optical tomography (DOT) is proposed. Poisson noise which contaminates time-resolved photon counting data is reduced by use of maximum a posteriori estimation. The noise-free data are modeled as a Markov random process, and the measured time-resolved data are assumed as Poisson distributed random variables.(More)
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