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Hepatoma-derived growth factor expression as a prognostic marker in cervical cancer

World Journal of Obstetrics and Gynecology 2015年第1期4卷 16-23页

作者： Misa Song Miki Tomoeda Yu-Feng Jin Chiaki Kubo Hidenori Yoshizawa masanori kitamura Shigenori Nagata Yukinobu Ohta Shoji Kamiura Hideji Nakamura Yasuhiko Tomita Department of Pathology Osaka Medical Center for Cancer and Cardiovascular Diseases Department of Gynecology Osaka Medical Center for Cancer and Cardiovascular Diseases Department of Internal Medicine Nissay Hospital

AIM： To examine the association of hepatoma-derived growth factor （HDGF） expression with the prognosis of patients with cervical cancer of the uterus （CC）. METHODS： HDGF is a unique nuclear growth factor, and it may play an important role in the development and progression of carcinoma. HDGF expression in 88 CC patients aged 23 to 76 years （median, 54 years） was analyzed by immunohistochemistry. A rabbit polyclonal antibody against the C-terminal amino acids （aa 231-240） of the human HDGF sequence was used as primary antibody at a dilution of 1：5000. This specific anti-HDGF antibody was purified using C-terminal peptide-conjugated Sepharose columns. Staining of endothelial cells in the noncancerous areas of each specimen was used as an internal positive control. Samples with more than 80% of tumor cells showing positive immunoreactivity in both the nucleus and cytoplasm were regarded as HDGF index level 2,more than 80% positive immunoreactivity in either the nucleus or cytoplasm as level 1, and less than 80% in both the nucleus and cytoplasm as level 0. The chi-square test and Fisher’s exact probability test were used to examine the relationship between HDGF expression and clinicopathologic parameters, and statistical significance was examined by the log-rank test. Multivariate analysis of factors related to survival was performed using Cox’s proportional hazards regression model. Statistical signifcance was set at P 〈 0.05. RESULTS： The five-year overall survival rate was 82.9%. Fourteen patients died due to tumors, nine of whom had tumor recurrence at 2-21 mo （median, 10 mo） after surgery. Tumor recurrence in five patients was determined at the time of the patients’ deaths. Nineteen cases were regarded as HDGF index level 0, 11 as level 1, and 58 as level 2. Patients with level 2 expression showed higher rates of histological classification of keratinized squamous cell carcinomaand adenosquamous carcinoma （44.8% of level 2 patients and 13.3% in levels 0 and 1）, de

关键词： Hepatoma-derived growth factor Prognosis Cervical cancer Immunohistochemical analysis Multiva-riate analysis

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Construction of Design Guidelines for Optimal Automotive Frame Shape Based on Statistical Approach and Mechanical Analysis

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Computer Modeling in Engineering & Sciences 2021年第8期128卷 731-742页

作者： masanori Honda Chikara Kawamura Isamu Kizaki Yoichi Miyajima Akihiro Takezawa Mitsuru kitamura Mazda Motor Corporation 3-1 ShinchiFuchu-choAki-gunHiroshima730-8670Japan Department of Applied Mechanics and Aerospace Engineering School of Fundamental Science and EngineeringWaseda University3-4-1 OkuboShinjuku-kuTokyo169-8555Japan Division of Advanced Science and Engineering Graduate School of Advanced Science and EngineeringHiroshima University1-4-1 KagamiyamaHigashihiroshimaHiroshima739-8527Japan

A body frame composed of thin sheet metal is a crucial structure that determines the safety performance of a *** a correct weight and high-performance automotive body is an emerging engineering *** improve the performance of the automotive frame,we attempt to reconstruct its design criteria based on statistical and mechanical *** first,a fundamental study on the frame strength is conducted and a cross-sectional shape optimization problem is developed for designing the cross-sectional shape of an automobile frame having a very high mass efficiency for *** optimization is carried out using the nonlinear finite element method and a meta-modeling-based genetic *** analysis of the obtained set of optimal results is performed to identify the dominant design variables by employing the smoothing spline analysis of variance,the principal component analysis,and the self-organizing map *** relationship between the cross-sectional shape and the objective function is also analyzed by hierarchical clustering.A design guideline is obtained from these statistical approach results.A comparison between the statistically obtained design guideline and the conventional one based on the designers’experience is performed based on mechanical interpretation of the optimal cross-sectional ***,a mechanically reasonable new general-purpose design guideline is proposed for the cross-sectional shape of the automotive frame.

关键词： Automotive structure shape optimization data mining statistical approach crash-performance

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