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Bayesian Survival Analysis of High-Dimensional Microarray Data for Mantle Cell Lymphoma Patients

  • Moslemi, Azam;Mahjub, Hossein;Saidijam, Massoud;Poorolajal, Jalal;Soltanian, Ali Reza
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.1
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    • pp.95-100
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    • 2016
  • Background: Survival time of lymphoma patients can be estimated with the help of microarray technology. In this study, with the use of iterative Bayesian Model Averaging (BMA) method, survival time of Mantle Cell Lymphoma patients (MCL) was estimated and in reference to the findings, patients were divided into two high-risk and low-risk groups. Materials and Methods: In this study, gene expression data of MCL patients were used in order to select a subset of genes for survival analysis with microarray data, using the iterative BMA method. To evaluate the performance of the method, patients were divided into high-risk and low-risk based on their scores. Performance prediction was investigated using the log-rank test. The bioconductor package "iterativeBMAsurv" was applied with R statistical software for classification and survival analysis. Results: In this study, 25 genes associated with survival for MCL patients were identified across 132 selected models. The maximum likelihood estimate coefficients of the selected genes and the posterior probabilities of the selected models were obtained from training data. Using this method, patients could be separated into high-risk and low-risk groups with high significance (p<0.001). Conclusions: The iterative BMA algorithm has high precision and ability for survival analysis. This method is capable of identifying a few predictive variables associated with survival, among many variables in a set of microarray data. Therefore, it can be used as a low-cost diagnostic tool in clinical research.

Effects of Nursing Education on Awareness of Risk Factors for Colorectal Cancer

  • Akduran, Funda;Cinar, Nursan
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.14
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    • pp.5763-5766
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    • 2015
  • Background: The objective of this study is to determine the effect of nursing education on awareness of risk factors for colorectal cancer. Materials and Methods: In this descriptive study, the sample is consisted of 132 volunteer students studying in the 1st and 4th grades of School of Health Nursing Department during the fall semester of 2014-2015. Data were collected via a questionnaire including information on the socio-demographic features of the participants and the correlating risk factors of colorectal cancer, prepared by researchers in view of the literature. The questionnaire was distributed to students and completed during class time. Before presenting the questionnaires to the respondents, informed consent was obtained from each. The data obtained were analyzed with a statistical package (SPSS). At first, a Kolmogorov-Smirnow test was performed on the research data. However, since it was seen that variables did not have a normal distribution, the Wilcoxon Signed Ranks Test was applied. P values of <0.05 were considered statistically significant. Percentages, means and standard deviations were also utilized for evaluation. Results: Of the total of 132 students participating in this study, 85.6% (n=113) were female, and 14.4% (n=19) were male. The average age was $20.5{\pm}2.04$. 54.5 % of the students (n=72) were 4th graders and 45.5 % (n=60) were first graders. Total score averages of first graders on risk awareness was $X=12{\pm}7.24$, and fourth graders was $X=16.93{\pm}7.71$. The difference between these two scores were found to be statistically significant (Z= -9,333; p=0.000). Conclusions: Nursing education was found out to have a positive influence on the students' awareness of risk factors for colorectal cancer.

Application of Bayesian Multilevel Space-Time Models to Study Relative Risk of Esophageal Cancer in Iran 2005-2007 at a County Level

  • Rastaghi, Sedigheh;Jafari-Koshki, Tohid;Mahaki, Behzad
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.14
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    • pp.5787-5792
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    • 2015
  • Background: Reported age standardized incidence rates for esophageal cancer in Iran are 0.88 and 6.15 for females and males, at fifth and the eighth ranks, respectively, of cancers overall. The present study aimed to map relative risk using more realistic and less problematic methods than common estimators. Materials and Methods: In this ecological investigation, the studied population consisted of all esophageal cancer patients in Iran from 2005 to 2007. The Bayesian multilevel space-time model with three levels of county, province, and time was used to measure the relative risk of esophageal cancer. Analyses were conducted using R package INLA. Results: The total number of registered patients was 7,160. According to the results, the three-level model with adjustment for risk factors of physical activity and smoking had the best fit among all models. The overall temporal trend was significantly increasing. At county level, Ahar, Marand, Salmas, Bojnoord, Saghez, Sarakhs, Shahroud and Torbatejam had the highest relative risks. Physical activity was found to have significant direct association with risk of developing esophageal cancer. Conclusions: Given to great variation across geographical areas, many different factors affect the incidence of esophageal cancer. Conducting further studies at the individual level in areas with high incidence could provide more detailed information on risk factors of esophageal cancer.

Lack of Association of the MDR1 C3435T Polymorphism with Susceptibility to Gastric Cancer and Peptic Ulcer: a Systemic Review and Meta-analysis

  • Wu, Dan-Dan;Zhang, Ji-Xiang;Li, Jiao;Dong, Wei-Guo
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.7
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    • pp.3021-3027
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    • 2014
  • Background: The multidrug resistance 1 gene (MDR1) C3435T polymorphism has been demonstrated to influence the P-glycoprotein (P-gp) activity level which is related to inflammation and carcinogenesis. This meta-analysis was performed to estimate the association between the MDR1 C3435T polymorphism and the risk of gastric cancer (GC) and peptic ulcer (PU). Materials and Methods: A literature search was conducted with PubMed, Embase and the Cochrane library up to November 2013. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. Data were analyzed using Review Manager (Version 5.2), and Stata package (version 12.0) for estimation of publication bias. Results: Six case-control studies were included, of which five were for GC and two for PU. Overall, no evidence was found for any association between the MDR1 C3435T polymorphism and the susceptibility to GC and PU. In the stratified analysis by H. pylori infection status, stage and histology classification of GC, and PU type, there was still no significant association between them. Conclusions: This meta-analysis suggested that the MDR1 C3435T polymorphism is not associated with susceptibility to GC and PU. Large and well-designed studies are warranted to validate our findings.

Involvement of GRP78 in the Resistance of Ovarian Carcinoma Cells to Paclitaxel

  • Zhang, Li-Ying;Li, Pei-Ling;Xu, Aili;Zhang, Xin-Chen
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.8
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    • pp.3517-3522
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    • 2015
  • Background: Glucose regulated protein 78 (GRP78) is a type of molecular chaperone. It is a possible candidate protein that contributes to development of drug resistance. We first examined the involvement of GRP78 in chemotherapy-resistance in human ovarian cancer cell. Materials and Methods: The expression of GRP78 mRNA and protein were examined by RT-PCR and western blotting, respectively, in human ovarian cancer cells line (HO-8910). Sensitivity of HO-8910 to paclitaxel was determined with methyl thiazolyl tetrazolium (MTT). Suppression of GRP78 expression was performed using specific small-interfering RNA (siRNA) in HO-8910 cells, and cell apoptosis was assessed by flow cytometry. Statistical analysis was performed using the SPSS 15.0 statistical package. Results: HO-8910 cells, with high basal levels of GRP78, exhibited low sensitivity to paclitaxel. The mRNA and protein levels of GRP78 were dramatically decreased at 24h, 48h and 72h after transfection and the sensitivity to paclitaxel was increased when the GRP78 gene was disturbed by specific siRNA transfection. Conclusions: The results suggested that high GRP78 expression might be one of the molecular mechanisms causing resistance to paclitaxel, and therefore siRNA of GRP78 may be useful in tumor-specific gene therapy for ovarian cancer.

Identification of Biomarkers for Diagnosis of Gastric Cancer by Bioinformatics

  • Wang, Da-Guang;Chen, Guang;Wen, Xiao-Yu;Wang, Dan;Cheng, Zhi-Hua;Sun, Si-Qiao
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.4
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    • pp.1361-1365
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    • 2015
  • Background: We aimed to discover potential gene biomarkers for gastric cancer (GC) diagnosis. Materials and Methods: Genechips of 10 GC tissues and 10 gastric mucosa (GM, para-carcinoma tissue, normal control) tissues were generated using an exon array of Affymetrix containing 30,000 genes. The differentially expressed genes (DEGs) between GC tissues and normal control were identified by the Limma package and analyzed by hierarchical clustering analysis. Gene ontology (GO) and pathway enrichment analyses were performed for investigating the functions of DEGs. Receiver operating characteristics (ROC) analysis was performed to measure the effects of biomarker candidates for diagnosis of GC. Results: Totals of 896 up-regulated and 60 down-regulated DEGs were identified to be differentially expressed between GC samples and normal control. Hierarchical clustering analysis showed that DEGs were highly differentially expressed and most DEGs were up-regulated. The most significantly enriched GO-BP term was revealed to be mitotic cell cycle and the most significantly enriched pathway was cell cycle. The intersection analysis showed that most significant DEGs were cyclin B1 (CCNB1) and cyclin B2 (CCNB2). The sensitivities and specificities of CCNB1 and CCNB2 were both high (p<0.0001). Areas under the ROC curve for CCNB1 and CCNB2 were both greater than 0.9 (p<0.0001). Conclusions: CCNB1 and CCNB2, which were involved in cell cycle, played significant roles in the progression and development of GC and these genes may be potential biomarkers for diagnosis and prognosis of GC.

Improved Diagnostic Accuracy of Pancreatic Diseases with a Combination of Various Novel Serum Biomarkers - Case Control Study from Manipal Teaching Hospital, Pokhara, Nepal

  • Farooqui, Mohammad Shamim;Mittal, Ankush;Poudel, Bibek;Mall, Suhas Kumar;Sathian, Brijesh;Tarique, Mohammad;Farooqui, Mohammad Hibban
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.5
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    • pp.2171-2174
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    • 2012
  • Background: Pancreatic cancer is a distressing disease with a miserable prospects and early recognition remains a challenge due to ubiquitous symptomatic presentation, deep anatomical location, and aggressive etiology. False positives and problems in distinguishing pancreatitis from adenocarcinoma limit the use of CA 19-9 as both disorders can present with similar symptoms and share radiographic physiognomies. This study aimed to assess the relative increase in accuracy of diagnosing the patients with chronic pancreatitis, benign neoplasm of pancreas and adenocarcinomas with CA 19-9, haptoglobin, and serum amyloid A in comparison to CA 19-9 alone. Materials and Methods: This hospital based case control study was carried out in the Departments of Medicine and Biochemistry of Manipal Teaching Hospital, Pokhara, Nepal, between $1^{st}$ January 2010 and $31^{st}$ December 2011. The variables assessed were age, gender, serum CA19-9, serum haptoglobulin, serum Amyloid A. The data were analyzed using Excel 2003, R 2.8.0 Statistical Package for the Social Sciences (SPSS) for Windows Version 16.0 (SPSS Inc; Chicago, IL, USA) and the EPI Info 3.5.1 Windows Version. Results: Out of 197 cases of pancreatic disease, maximum number of assumed cases were of adenocarcinoma of pancreas (95). Number of males (59) were more than females (36) in assumed cases of adenocarcinoma of pancreas. The mean values of CA19-9 raised considerably in cases of chronic pancreatitis, benign neoplasm and adenocarcinoma of pancreas when compared to controls. The highest augmention in CA19-9 values were in cases of adenocarcinoma of pancreas. The p-value indicates that in cases of chronic pancreatitis, there was not significant increase in precision of diagnosis. Conclusions: These statistics established that haptoglobin and SAA are useful in discriminating cancer from benign conditions as well as healthy controls.

Role of Hyperinsulinemia in Increased Risk of Prostate Cancer: A Case Control Study from Kathmandu Valley

  • Pandeya, Dipendra Raj;Mittal, Ankush;Sathian, Brijesh;Bhatta, Bibek
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.1031-1033
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    • 2014
  • Aim: To investigate the effect of hyperglycemia and hyperinsulinemia on prostate cancer risk. Materials and Methods: This hospital based study was carried out using data retrieved from the register maintained in the Department of Biochemistry of a tertiary care hospital of Kathmandu, Nepal between $31^{st}$ December, 2011 and $31^{st}$ October, 2013. The variables collected were age, serum cholesterol, serum calcium, PSA, fasting blood glucose, serum insulin. Analysis was performed by descriptive statistics and testing of hypothesis using Excel 2003, R 2.8.0, Statistical Package for the Social Sciences (SPSS) for Windows Version 16.0 (SPSS Inc; Chicago, IL, USA) and the EPI Info 3.5.1 Windows Version. Results: Of the total 125 subjects enrolled in our present study, 25 cases were of PCa and 100 were healthy controls. The mean value of fasting plasma glucose was 95.5 mg/dl in cases of prostatic carcinoma and the mean value of fasting plasma insulin was $5.78{\mu}U/ml$ (p value: 0.0001*). The fasting insulin levels ${\mu}U/ml$ were categorized into the different ranges starting from ${\leq}2.75$, >2.75 to ${\leq}4.10$, >4.10 to ${\leq}6.10$, > $6.10{\mu}U/ml$. The maximum number of cases of prostatic carcinoma of fasting insulin levels falls in range of > $6.10{\mu}U/ml$. The highest insulin levels (> $6.10{\mu}U/ml$) were seen to be associated with an 2.55 fold risk of prostatic carcinoma when compared with fasting insulin levels of (< $2.75{\mu}U/ml$). Conclusions: Elevated fasting levels of serum insulin appear to be associated with a higher risk of prostate cancer.

Characterization of Biodegradable Conductive Composite Films with Polyaniline(2) (폴리아닐린을 함유한 도전성 복합필름의 제조 및 특성 연구(2))

  • Lee, Soo;Seong, Eun-Suk
    • Journal of the Korean Applied Science and Technology
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    • v.32 no.1
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    • pp.85-92
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    • 2015
  • The 50 mole% HCl doped polyaniline(PAni) was synthesized by polymerization of aniline in the presence of hydrochloric acid and ammonium persulfate(APS) as dopant and oxidant, respectively. Then, conducting biodegradable cellulose acetate composite films were also prepared with PAni in acetone to find their applicability to antistatic packaging materials. The tensile strength of PCA05 film with 5 wt% of PAni was decreased by 27% from $377.1kg_f/cm^2$ for CA film itself to $275.2kg_f/cm^2$. Elongation was also decreased from 7.65% to 4.35%. Surface registance of $7.0{\times}10^9{\Omega}/sq$ could be achieved for the PCA containing 5 wt% of PAni. Therefore, this PCA05 film can be applied to antistatic package film for electronic board. In addition, decomposition temperature of these PCA films obtained by thermogravimetric analysis(TGA) was decreased with the amount of PAni in PCA films, and the final weight of char was directly proportional to PAni contents. From this thermal result we can calculate the content of PAni in unknown PCA films.

Identification and Functional Analysis of Differentially Expressed Genes Related to Metastatic Osteosarcoma

  • Niu, Feng;Zhao, Song;Xu, Chang-Yan;Chen, Lin;Ye, Long;Bi, Gui-Bin;Tian, Gang;Gong, Ping;Nie, Tian-Hong
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.24
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    • pp.10797-10801
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    • 2015
  • Background: To explore the molecular mechanisms of metastatic osteosarcoma (OS) by using the microarray expression profiles of metastatic and non-metastatic OS samples. Materials and Methods: The gene expression profile GSE37552 was downloaded from Gene Expression Omnibus database, including 2 human metastatic OS cell line models and 2 two non-metastatic OS cell line models. The differentially expressed genes (DEGs) were identified by Multtest package in R language. In addition, functional enrichment analysis of the DEGs was performed by WebGestalt, and the protein-protein interaction (PPI) networks were constructed by Hitpredict, then the signal pathways of the genes involved in the networks were performed by Kyoto Encyclopaedia of Genes and Genomes (KEGG) automatic annotation server (KAAS). Results: A total of 237 genes were classified as DEGs in metastatic OS. The most significant up- and down-regulated genes were A2M (alpha-2-macroglobulin) and BCAN (brevican). The DEGs were significantly related to the response to hormone stimulus, and the PPI network of A2M contained IL1B (interleukin), LRP1 (low-density lipoprotein receptor-related protein 1) and PDGF (platelet-derived growth factor). Furthermore, the MAPK signaling pathway and focal adhesion were significantly enriched. Conclusions: A2M and its interactive proteins, such as IL1B, LRP1 and PDGF may be candidate target molecules to monitor, diagnose and treat metastatic OS. The response to hormone stimulus, MAPK signaling pathway and focal adhesion may play important roles in metastatic OS.