rs12904 Polymorphism in the 3'UTR of EFNA1 is Associated with Colorectal Cancer Susceptibility in a Chinese Population

Mao, Ying-Ying,Jing, Fang-Yuan,Jin, Ming-Juan,Li, Ying-Jun,Ding, Ye,Guo, Jing,Wang, Fen-Juan,Jiang, Long-Fang,Chen, Kun Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9

Accumulated evidence has indicated that Ephrin A1 (EFNA1) is associated with angiogenesis and tumorigenesis in various types of malignancies, including colorectal cancer (CRC). In the current study, we performed an online search using the public microarray database to investigate whether EFNA1 expression might be altered in CRC tissues. We then conducted a case-control study including 306 subjects (102 cases and 204 well-matched controls) in Xiaoshan County to assess any association between genetic polymorphisms in EFNA1 and CRC susceptibility. Searches in the Oncomine expression profiling database revealed EFNA1 to be overexpressed in CRC tissue compared with adjacent normal tissue. The rs12904 G-A variant located in the 3' untranslated region (UTR) of EFNA1 was observed to be associated with CRC susceptibility. Compared with the AA homozygous genotype, those carrying GA genotype had a decreased risk of developing CRC (odds ratio (OR)=0.469, 95% confidence interval (CI): 0.225-0.977, and P=0.043). The association was stronger among smokers and tea drinkers, however, no statistical evidence of interaction between rs12904 polymorphism and smoking or tea drinking on CRC risk was found. Our results suggest that EFNA1 is involved in colorectal tumorigenesis, and rs12904 A>G polymorphism in the 3' UTR of EFNA1 is associated with CRC susceptibility. Larger studies and further mechanistic investigations are warranted to confirm our findings.

Exploration of differential gene expression of Laodelphax striatellus upon IGR treatments

Ying Fang,Seok-Hee Lee,Jong Hoon Kim,Kyu Baik Ha,Dong Hwan Park,Woo Jin Kim,Jae Young Choi,Yeon Ho Je 한국응용곤충학회 2015 한국응용곤충학회 학술대회논문집 Vol.2015 No.10

Insect Growth Regulators (IGRs) are insecticides that disrupt the normal development of target insects by inducing symptoms such as premature molting or supernumerary larval stages. Juvenile hormone systems become the targets of two types of IGRs: the Juvenile Hormone Agonists (JHAs) and Juvenile Hormone Antagonists (JHANs). Pyriproxyfen is one of the chemical compounds widely used as JHA to control many kinds of insects while Kanakugiol is a plant-extracted compound which acts as JHAN. The small brown planthopper, Laodelphax striatellus, is one of the most serious pest insects of rice plants because it can transmit the rice stripe virus which often causes significant reduction of yield in the field. In order to analyze the differential gene expressions of L. striatellus upon JHA and JHAN treatment by using next generation sequencing technique, we sprayed Pyriproxyfen and Kanakugiol on 4th instar nymphs of L. striatellus respectively, and extracted total RNA for RNA-seq. The quality-filtered Illumina sequence reads of the control, JHA, and JHAN treated samples were mapped to the reference gene sequences by using the Bowtie2 software. Then the results of mapping by Bowtie2 were analyzed by eXpress software to quantity the differential gene expression.

Characteristics and Prediction of Lung Cancer Mortality in China from 1991 to 2013

Fang, Jia-Ying,Dong, Hong-Li,Wu, Ku-Sheng,Du, Pei-Ling,Xu, Zhen-Xi,Lin, Kun Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.14

Objective: To describe and analyze the epidemiological characteristics of lung cancer mortality in China from 1991 to 2013, forecast the future five-year trend and provide scientific evidence for prevention and management of lung cancer. Materials and Methods: Mortality data for lung cancer in China from 1991 to 2013 were used to describe epidemiological characteristics. Trend surface analysis was applied to analyze the geographical distribution of lung cancer. Four models, curve estimation, time series modeling, gray modeling (GM) and joinpoint regression, were performed to forecast the trend for the future. Results: Since 1991 the mortality rate of lung cancer increased yearly. The rate for males was higher than that for females and rates in urban areas were higher than in rural areas. In addition, our results showed that the trend will continue to increase in the ensuing 5 years. The mortality rate increased from age 45-50 and peaked in the group of 85 years old. Geographical analysis indicated that people living in northeast China provinces and the coastal provinces in eastern China had a higher mortality rate for lung cancer than those living in the centre or western Chinese provinces. Conclusions: The standardized mortality rate of lung cancer has constantly increased from 1991 to 2013, and been predicted to continue in the ensuing 5 years. Further efforts should be concentrated on education of the general public to increase prevention and early detection. Much better prevention and management is needed in high mortality areas (northeastern and eastern parts of China) and high risk populations (45-50-year-olds).

Exploration of Differential Gene Expression of Small Brown Planthopper, Laodelphax striatellus upon Buprofezin Treatments

Ying Fang,Seok-Hee Lee,Jong Hoon Kim,Dong Hwan Park,Min Gu Park,Ra Mi Woo,Woo Jin Kim,Jae Young Choi,Yeon Ho Je 한국응용곤충학회 2016 한국응용곤충학회 학술대회논문집 Vol.2016 No.10

The small brown planthopper (SBPH), Laodelphax striatellus, is one of the most serious pest insects of rice plants because it can transmit the rice stripe virus (RSV) which often causes significant reduction of yield in the field. Buprofezine is an effective insect growth regular (IGR) pesticide to control planthoppers, however, since the use of buprofezine for more than a decade, it has caused a certain resistance of SBPH. To survey the responses of SBPH to buprofezine, we exposed 4th instar SBPH to 200 ppm buprofezine by dipping method, and extracted total RNA for RNA-seq by Illumina platform. The quality filtered raw reads of cDNA obtained from experimental and control SBPH were subjected to Bowtie2 followed by eXpress computer program to compare the differential gene expression which will be important information for pest control methods using RNAi.

RNA interference of E75 nuclear receptor gene suppresses transmission of rice stripe virus in Laodelphax striatellus

Ying Fang,최재영,이석희,김종훈,박동환,박민구,우라미,이보람,김우진,Shuo Li,제연호 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.4

Drosophila E75 belongs to the nuclear receptor superfamily and plays key role in various physiological processes including ecdysone signaling. We identified an orthologue of Drosophila E75 from the Laodelphax striatellus (LsE75). Open reading frame (ORF) of the LsE75 contains 2454 nucleotides and encodes a protein of 817 amino acids. A phylogenetic analysis showed that the LsE75 clustered within the insect E75 group and was most closely related to the E75 from hemipteran insects. Quantitative PCR analysis revealed that transcription of the LsE75 was highly increased in RSV-viruliferous L. striatellus compared to that in non-viruliferous L. striatellus. To inhibit transmission of the RSV in L. striatellus using RNAi pathway, dsRNA against LsE75 (dsLsE75) was exogenously applied to the insects. As a result, transcription of RSV NS3 gene in L. striatellus ingested dsLsE75 was reduced in dose-dependent manner, suggesting that transmission of the RSV could be suppressed by silencing of LsE75 transcription in RSV-viruliferous L. striatellus

The transcriptomic responses of small brown planthopper, Laodelphax striatellus upon juvenile hormone agonist and antagonist treatment

Ying Fang,김우진,이석희,김종훈,하규백,박동환,우라미,박민구,최재영,제연호 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.2

The small brown planthopper, Loadelphax striatellus is one of the serious pest insects of rice plants because it can transmit the rice strip viruswhich often causes significant reduction of yield in the field. Insect growth regulators (IGRs) are insecticides which disrupt the normal development of target insects by inducing symptoms such as premature molting or supernumerary larval stages as the results of hormonal disruption. One of the most important insect hormones, juvenile hormone (JH) becomes the target of two types of IGRs: JH agonists (JHAs) and antagonists (JHANs). Pyriproxyfen is one of the popular IGR insecticideswhich acts as JHA to control many kinds of insects while kanakugiol is a plant-originated chemical which recently revealed its function as JHAN. In order to study the responses of L. striatellus to JHA and JHAN treatments, pyriproxyfen and kanakugiol were sprayed on 4th instar nymphs, and each total RNA samplewas extracted for RNA-Seq by using Illumina sequencing platform. For differential gene expression study, the in silico cDNA library was constructed by Tirinity de novo assembler. The expression levels of each gene were quantified by Bowtie2 and eXpress programs, and then subjected to gene ontology (GO) enrichment analysis to study the changes of gene expression profile. Total of 33 GO terms showed differential expression upon JHA or JHAN treatment, and the genes related to insect hormone biosynthesis were identified. These results will provide important information for future studies of molecular biology and physiology of L. striatellus.

Clinical Investigation of Efficacy of Albumin Bound Paclitaxel plus Platinum Compounds as First-line Chemotherapy for Stage III/IV Squamous Non-small Cell Lung Cancer

Fang, Ying,Wang, Li,Xia, Guo-Hao,Shi, Mei-Qi Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.17

Objective: To observe the efficacy and toxicity of nanoparticle albumin bound paclitaxel (nab-paclitaxel) plus platinum agent (cisplatin or carboplatin) as first line treatment for stage III/IV squamous non-small-cell lung cancer (NSCLC). Methods: Forty chemotherapy naive patients with stage III/IV squamous NSCLC received nab-paclitaxel $125mg/m^2$ on day 1 and day 8, cisplatin $75mg/m^2$ on day 1, carboplatin area under the concentration-time curve of 5 (AUC=5) on day 1. One cycle of treatment was 3 weeks, and at least two were completed in each case. Results: Of the 40 patients who participated in the study, 25 achieved partial responses (PR), 12 reached a stage of stable disease (SD), and 3 suffered progressive disease (PD). The overall response rate (ORR) was 62.5% and the disease control rate (DCR) was 92.5%. Of the 20 patients without surgery or radiotherapy, 10 achieved PR, 7 reached a stage of SD, and 3 PD. The ORR was 50.0% and the DCR was 85.0%. The median progression-free survival time (PFS) of patients without surgery or radiotherapy was 5.0 months. Of the 20 patients receiving surgery or radiotherapy, 15 had PR and 5 p had SD, with an ORR of 75.0% and a DCR of 85.0%. Specifically, the DDP arm demonstrated a significantly higher ORR than the CBP arm (100%vs 54.5%, P<0.05). Common treatment related adverse events were myelosuppression, gastrointestinal response, baldness and neurotoxicity, most of which were grade 1 to 2. Conclusion: Nab-paclitaxel plus platinum agent (cisplatin or carboplatin) is effective as a first-line chemotheraphy for stage III/IV squamous NSCLC, and its adverse effects are tolerable.

A Looping Population Learning Algorithm for the Makespan/Resource Trade-offs Project Scheduling

Ying-Chieh Fang,Chiuh-Cheng Chyu 대한산업공학회 2009 Industrial Engineeering & Management Systems Vol.8 No.3

Population learning algorithm (PLA) is a population-based method that was inspired by the similarities to the phenomenon of social education process in which a diminishing number of individuals enter an increasing number of learning stages. The study aims to develop a framework that repeatedly applying the PLA to solve the discrete resource constrained project scheduling problem with two objectives: minimizing project makespan and renewable resource availability, which are two most common concerns of management when a project is being executed. The PLA looping framework will provide a number of near Pareto optimal schedules for the management to make a choice. Different improvement schemes and learning procedures are applied at different stages of the process. The process gradually becomes more and more sophisticated and time consuming as there are less and less individuals to be taught. An experiment with ProGen generated instances was conducted, and the results demonstrated that the looping framework using PLA outperforms those using genetic local search, particle swarm optimization with local search, scatter search, as well as biased sampling multi-pass algorithm, in terms of several performance measures of proximity. However, the diversity using spread metric does not reveal any significant difference between these five looping algorithms.

Diffusion Tensor-Derived Properties of Benign Oligemia, True “at Risk” Penumbra, and Infarct Core during the First Three Hours of Stroke Onset: A Rat Model

Fang-Ying Chiu,Duen-Pang Kuo,Yung-Chieh Chen,Yu-Chieh Kao,Hsiao-Wen Chung,Cheng-Yu Chen 대한영상의학회 2018 Korean Journal of Radiology Vol.19 No.6

Objective: The aim of this study was to investigate diffusion tensor (DT) imaging-derived properties of benign oligemia, true “at risk” penumbra (TP), and the infarct core (IC) during the first 3 hours of stroke onset. Materials and Methods: The study was approved by the local animal care and use committee. DT imaging data were obtained from 14 rats after permanent middle cerebral artery occlusion (pMCAO) using a 7T magnetic resonance scanner (Bruker) in room air. Relative cerebral blood flow and apparent diffusion coefficient (ADC) maps were generated to define oligemia, TP, IC, and normal tissue (NT) every 30 minutes up to 3 hours. Relative fractional anisotropy (rFA), pure anisotropy (rq), diffusion magnitude (rL), ADC (rADC), axial diffusivity (rAD), and radial diffusivity (rRD) values were derived by comparison with the contralateral normal brain. Results: The mean volume of oligemia was 24.7 ± 14.1 mm3, that of TP was 81.3 ± 62.6 mm3, and that of IC was 123.0 ± 85.2 mm3 at 30 minutes after pMCAO. rFA showed an initial paradoxical 10% increase in IC and TP, and declined afterward. The rq, rL, rADC, rAD, and rRD showed an initial discrepant decrease in IC (from -24% to -36%) as compared with TP (from -7% to -13%). Significant differences (p < 0.05) in metrics, except rFA, were found between tissue subtypes in the first 2.5 hours. The rq demonstrated the best overall performance in discriminating TP from IC (accuracy = 92.6%, area under curve = 0.93) and the optimal cutoff value was -33.90%. The metric values for oligemia and NT remained similar at all time points. Conclusion: Benign oligemia is small and remains microstructurally normal under pMCAO. TP and IC show a distinct evolution of DT-derived properties within the first 3 hours of stroke onset, and are thus potentially useful in predicting the fate of ischemic brain.

A Looping Population Learning Algorithm for the Makespan/Resource Trade-offs Project Scheduling

Fang, Ying-Chieh,Chyu, Chiuh-Cheng Korean Institute of Industrial Engineers 2009 Industrial Engineeering & Management Systems Vol.8 No.3

Population learning algorithm (PLA) is a population-based method that was inspired by the similarities to the phenomenon of social education process in which a diminishing number of individuals enter an increasing number of learning stages. The study aims to develop a framework that repeatedly applying the PLA to solve the discrete resource constrained project scheduling problem with two objectives: minimizing project makespan and renewable resource availability, which are two most common concerns of management when a project is being executed. The PLA looping framework will provide a number of near Pareto optimal schedules for the management to make a choice. Different improvement schemes and learning procedures are applied at different stages of the process. The process gradually becomes more and more sophisticated and time consuming as there are less and less individuals to be taught. An experiment with ProGen generated instances was conducted, and the results demonstrated that the looping framework using PLA outperforms those using genetic local search, particle swarm optimization with local search, scatter search, as well as biased sampling multi-pass algorithm, in terms of several performance measures of proximity. However, the diversity using spread metric does not reveal any significant difference between these five looping algorithms.