The impact of lymph node dissection on survival in patients with clinical early-stage ovarian cancer

Ting Deng,Qidan Huang,Ting Wan,Xiaoling Luo,Yanling Feng,He Huang,Jihong Liu 대한부인종양학회 2021 Journal of Gynecologic Oncology Vol.32 No.3

Objective: To estimate the impact of lymph node dissection on survival in patients withapparent early-stage epithelial ovarian cancer (EOC). Methods: We conducted a retrospective review of patients with clinical stage I–II EOC. Allpatients underwent primary surgery at Sun Yat-sen University Cancer Center between January2003 and December 2015. Demographic features and clinicopathological information as wellas perioperative adverse events were investigated, and survival analyses were performed. Results: A total of 400 ovarian cancer patients were enrolled, and patients were divided into2 groups: 81 patients did not undergo lymph node resection (group A), and 319 patientsunderwent lymph node dissection (group B). In group B, the median number of removednodes per patient was 25 (21 pelvic and 4 para-aortic nodes). In groups A and B, respectively,the 5-year progression-free survival (PFS) rates were 83.3% and 82.1% (p=0.305), and the5-year overall survival (OS) rates were 93.1% and 90.9% (p=0.645). The recurrence rate inthe retroperitoneal lymph nodes was not associated with lymph node dissection (p=0.121). The median operating time was markedly longer in group B than in group A (220 minutesvs. 155 minutes, p<0.001), and group B had a significantly higher incidence of lymph cysts atdischarge (32.9% vs. 0.0%, p<0.001). Conclusion: In patients with early-stage ovarian cancer, lymph node dissection was notassociated with a gain in OS or PFS and was associated with an increased incidence ofperioperative adverse events.

Use of High-performance Graphics Processing Units for Power System Demand Forecasting

Ting He,Ke Meng,ZhaoYang Dong,Yong-Taek Oh,Yan Xu 대한전기학회 2010 Journal of Electrical Engineering & Technology Vol.5 No.3

Load forecasting has always been essential to the operation and planning of power systems in deregulated electricity markets. Various methods have been proposed for load forecasting, and the neural network is one of the most widely accepted and used techniques. However, to obtain more accurate results, more information is needed as input variables, resulting in huge computational costs in the learning process. In this paper, to reduce training time in multi-layer perceptron-based short-term load forecasting, a graphics processing unit (GPU)-based computing method is introduced. The proposed approach is tested using the Korea electricity market historical demand data set. Results show that GPU-based computing greatly reduces computational costs.

An analytical solution of bending thin plates with different moduli in tension and compression

He, Xiao-Ting,Hu, Xing-Jian,Sun, Jun-Yi,Zheng, Zhou-Lian Techno-Press 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.36 No.3

Materials which exhibit different elastic moduli in tension and compression are known as bimodular materials. The bimodular materials model, which is founded on the criterion of positive-negative signs of principal stress, is important for the structural analysis and design. However, due to the inherent complexity of the constitutive relation, it is difficult to obtain an analytical solution of a bimodular bending components except in particular simple problems. Based on the existent simplified model, this paper solves analytically bending thin plates with different moduli in tension and compression. By using the continuity conditions of stress components in unknown neutral layer, we determine the location of the neutral layer, and derive the governing differential equation for deflection, the flexural rigidity, and the internal forces in the thin plate. We also use a circular thin plate with bimodulus to illustrate the application of this solution derived in this paper. The results show that the introduction of different moduli has influences on the flexural stiffness of the bending thin plate.

The COX-2 -765 G>C Polymorphism is Associated with Increased Risk of Gastric Carcinogenesis in the Chinese Hui Ethnic Population

He, Wen-Ting,Liu, Tao,Tang, Xiao-Fan,Li, Yu-Min Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.9

Background: The Chinese Hui ethnic group has diverse origins, including Arab, Persian, Central Asian, and Mongol. The standardized mortality rate of gastric cancer in the Hui population is higher than the overall Chinese population. In this study, we investigated whether COX-2-765G>C polymorphism, an extensively studied polymorphism, contributes to gastric cancer and its precursor lesions (GPL) in the Chinese Hui ethnic group. Materials and Methods: COX-2-765G>C polymorphism was determined by pyrosequencing in 100 gastric cancer cases, 102 gastric cancerand its precursor lesions cases and 105 controls. Data were statistically analyzed using Chi-square tests and logistic regression models. Results: Among the Chinese Hui ethnic group COX-2-765 C allele carriers were at increased risk for gastric cancer (OR=1.977, 95%CI=1.104-3.541). We also found an interaction between COX-2 -765 C carriers and Helicobacter pylori infection and eating pickled vegetables. Conclusions: Our findings suggest a multi-step process of gene-environment interaction contributes to gastric carcinogenesis.

Rapid separation and identification of 31 major saponins in Shizhu ginseng by ultra-high performance liquid chromatography-electron spray ionization-MS/MS

Ting-Ting Sun,Xin-Lei Liang,He-Yun Zhu,Xu-Ling Peng,Xing-Jie Guo,Long-Shan Zhao 고려인삼학회 2016 Journal of Ginseng Research Vol.40 No.3

Background: Among the various ginseng strains, Shizhu ginseng is endemic to China, mainly distributed in Kuandian Manchu Autonomous County (Liaoning Province, China); however, not much is known about the compounds (especially saponins) in Shizhu ginseng. Methods: A rapid, sensitive, and reliable ultra-high performance liquid chromatography coupled with MS/MS (UHPLCeMS/MS) method was developed to separate and identify saponins in Shizhu ginseng. Results: The separation was carried out on a Waters ACQUITY UPLC BEH C18 column (100 mm × 2.1 mm, 1.7 ㎛) with acetonitrile and 0.1% formic acid aqueous solution as the mobile phase under a gradient elution at 40℃. The detection was performed on a Micromass Quattro Micro API mass spectrometer equipped with electrospray ionization source in both positive and negative modes. Under the optimized conditions, a total of 31 saponins were identified or tentatively characterized by comparing retention time and MS data with related literatures and reference substances. Conclusion: The developed UHPLCeMS/MS method was suitable for identifying and characterizing the chemical constituents in Shizhu ginseng, which provided a helpful chemical basis for further research on Shizhu ginseng.

ADRC Applied in Chaotic Arrhythmic Heartbeats Control

Ting HE,Donghai LI 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10

Control arrhythmic heartbeats has always been an important issue in cardiology. In this work, the capability of active disturbance rejection control (ADRC) to suppress the chaotic arrhythmic heartbeats is studied. The modified Van der Pol model is employed as mathematical model to describe the normal and pathological heart rhythms. The ADRC method is applied in three channels of the chaotic cardiac model. Compared with the commonly used time-delayed feedback control method, the ADRC method manifests better performance, thus worth further investigation and development in the field of chaotic arrhythmic heart beats control.

Characterization of Cucurbita maxima Fruit Metabolomic Profiling and Transcriptome to Reveal Fruit Quality and Ripening Gene Expression Patterns

He-Xun Huang,Ting Yu,Jun-Xing Li,Shu-Ping Qu,왕만만,Ting-Quan Wu,Yu-Juan Zhong 한국식물학회 2019 Journal of Plant Biology Vol.62 No.3

Pumpkin (Cucurbita maxima) fruit is the importantdietary source of carotenoid and is known for the goodflavour and texture due to the accumulation of sugar andstarch. However, lack of transcriptional information hindersour understanding of the molecular mechanisms underlyingfruit quality attributes and nutrition in C. maxima. To provideinsight into transcriptional regulation of fruit quality formationof C. maxima, quality analysis and high-throughput RNAsequencing of fruits at different developing stages werecharacterized. The quality analyses consist of dry mattervalues, percent soluble solids, carotenoid contents, and starchand sugar contents in seven stages of fruit development. Fruit transcriptome of C. maxima at five stages throughoutdevelopment was assembled to elucidate the molecularregulation of fruit development. Almost 18 billion nucleotidebases were sequenced in total, and 48,471 unigenes weredetected. A total of 32,397 (66.8%) unigenes were identifiedto be differentially expressed. We found there was a correlationbetween ripening-associated transcripts and metabolites andthe functions of regulating genes. KEGG analysis showedthere are multiple transcripts enriched in starch, sugar, carotenoid,plant hormone signal transduction and pectin pathways andseveral pathways regulating quality formation were identified. Candidate genes involving in sugar, starch, pectin, fruitsoftening and carotenoid metabolism in fruit were firstlyidentified for the species of C. maxima. Combining the sugar, starch and carotenoid accumulating patterns duringfruit development, a series of possible rate limiting geneswere identified. These findings will provide valuable informationfor further studies regarding fruit quality and development.

Use of High-performance Graphics Processing Units for Power System Demand Forecasting

He, Ting,Meng, Ke,Dong, Zhao-Yang,Oh, Yong-Taek,Xu, Yan The Korean Institute of Electrical Engineers 2010 Journal of Electrical Engineering & Technology Vol.5 No.3

Load forecasting has always been essential to the operation and planning of power systems in deregulated electricity markets. Various methods have been proposed for load forecasting, and the neural network is one of the most widely accepted and used techniques. However, to obtain more accurate results, more information is needed as input variables, resulting in huge computational costs in the learning process. In this paper, to reduce training time in multi-layer perceptron-based short-term load forecasting, a graphics processing unit (GPU)-based computing method is introduced. The proposed approach is tested using the Korea electricity market historical demand data set. Results show that GPU-based computing greatly reduces computational costs.

An analytical solution of bending thin plates with different moduli in tension and compression

Xiao-ting He,Xing-jian Hu,Jun-yi Sun,Zhou-lian Zheng 국제구조공학회 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.36 No.3

Materials which exhibit different elastic moduli in tension and compression are known as bimodular materials. The bimodular materials model, which is founded on the criterion of positivenegative signs of principal stress, is important for the structural analysis and design. However, due to the inherent complexity of the constitutive relation, it is difficult to obtain an analytical solution of a bimodular bending components except in particular simple problems. Based on the existent simplified model, this paper solves analytically bending thin plates with different moduli in tension and compression. By using the continuity conditions of stress components in unknown neutral layer, we determine the location of the neutral layer, and derive the governing differential equation for deflection, the flexural rigidity, and the internal forces in the thin plate. We also use a circular thin plate with bimodulus to illustrate the application of this solution derived in this paper. The results show that the introduction of different moduli has influences on the flexural stiffness of the bending thin plate.

Vascular Endothelial Growth Factor (VEGF) Gene Polymorphisms and Breast Cancer Risk in a Chinese Population

Luo, Ting,Chen, Long,He, Ping,Hu, Qian-Cheng,Zhong, Xiao-Rong,Sun, Yu,Yang, Yuan-Fu,Tian, Ting-Lun,Zheng, Hong Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.4

Vascular endothelial growth factor (VEGF) is a potent regulator of angiogenesis and thereby involved in the development and progression of solid tumours. Associations between three VEGF gene polymorphisms (-634 G/C, +936 C/T, and +1612 G/A) and breast cancer risk have been extensively studied, but the currently available results are inconclusive. Our aim was to investigate associations between three VEGF gene polymorphisms and breast cancer risk in Chinese Han patients. We performed a hospital-based case-control study including 680 female incident breast cancer patients and 680 female age-matched healthy control subjects. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) analysis was performed to detect the three VEGF gene polymorphisms. We observed that women carriers of +936 TT genotypes [odds ratio (OR) =0.46, 95% confidence interval (CI) = 0.28, 0.76; P=0.002] or 936 T-allele (OR=0.81, 95% CI= 0.68, 0.98; P=0.03) had a protective effect concerning the disease. Our study suggested that the +1612G/A polymorphism was unlikely to be associated with breast cancer risk. The -634CC genotype was significantly associated with high tumor aggressiveness [large tumor size (OR=2.63, 95% CI=1.15, 6.02; P=0.02) and high histologic grade (OR=1.47, 95% CI= 1.06, 2.03; P=0.02)]. The genotypes were not related with other tumor characteristics such as regional or distant metastasis, stage at diagnosis, or estrogen or progesterone receptor status. Our study revealed that the VEGF -634 G/C and +936 C/T gene polymorphisms may be associated with breast cancer in Chinese Han patients.