• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.977-980
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• 2013

Background: Endometrial cancer is common in western women, and the rates are very high; however in India, the rates are as low as 4.3 per 100,000 (Delhi). Objective: To estimate the survival of endometrial cancer patients based on age, education, family history, tobacco habit, number of pregnancies, clinical extent of disease and treatment received. Materials and Methods: The present retrospective study was carried out at the Tata Memorial Hospital (TMH), Mumbai, India, between 1999-2002. 310 cases treated in TMH were considered as eligible entrants for the study. Five-year survival rates were estimated using actuarial and loss-adjusted (LAR) methods. Results: The proportions of patients dying above 50 years of age, non-residents and illiterates was higher than their counterparts. 54.8% of patients had some form of treatment before attending TMH. There were only 4.2% tobacco-chewers and only 6.1% had a family history of cancer. There were 25.8% who had 3-5 pregnancies (not living children) and 38.1% did not remember the pregnancy history. The 5-year overall survival rate was 92%. The five-year rates indicated better prognosis for those aged less than 50 years (97%), non-tobacco-chewers (94%), with no family history of cancer (93%), with localized disease (93%) and those treated with surgery either alone or as a combination treatment (95%). Conclusions: The present study showed that endometrial cancer patients with localized disease at diagnosis have a good outcome in India. A detailed study will help in understanding the prognostic indicators for survival especially with the newer treatment technologies now available.

• Genomics & Informatics
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• v.19 no.1
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• pp.6.1-6.10
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• 2021

Vascular endothelial growth factor (VEGF) is expressed at elevated levels by most cancer cells, which can stimulate vascular endothelial cell growth, survival, proliferation as well as trigger angiogenesis modulated by VEGF and VEGFR (a tyrosine kinase receptor) signaling. The angiogenic effects of the VEGF family are thought to be primarily mediated through the interaction of VEGF with VEGFR-2. Targeting this signaling molecule and its receptor is a novel approach for blocking angiogenesis. In recent years virtual high throughput screening has emerged as a widely accepted powerful technique in the identification of novel and diverse leads. The high resolution X-ray structure of VEGF has paved the way to introduce new small molecular inhibitors by structure-based virtual screening. In this study using different alkaloid molecules as potential novel inhibitors of VEGF, we proposed three alkaloid candidates for inhibiting VEGF and VEGFR mediated angiogenesis. As these three alkaloid compounds exhibited high scoring functions, which also highlights their high binding ability, it is evident that these alkaloids can be taken to further drug development pipelines for use as novel lead compounds to design new and effective drugs against cancer.

• Korean Journal of Veterinary Research
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• v.44 no.3
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• pp.463-467
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• 2004

To identify risk factors of canine distemper, which is one of the most important disease of dogs in Korea, a case-control study was performed with 2,507 cases and 4,121 controls from 630 veterinary clinics throughout Korea. In multivariate logistic regression models, the sampling period (Mars and April) and the age of the dogs (7-12 months old) were associated with an increased risk of canine distemper. Sex, body size and residential region showed no significant relationship. The epidemiological evidences of canine distemper in Korea agree to the risk factors observed in foreign countries.

• Journal of Preventive Medicine and Public Health
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• v.42 no.6
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• pp.356-359
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• 2009

In the more than 100 genome wide association studies (GWAS) conducted in the past 5 years, more than 250 genetic loci contributing to more than 40 common diseases and traits have been identified. Whilst many genes have been linked to a trait, both their individual and combined effects are small and unable to explain earlier estimates of heritability. Given the rapid changes in disease incidence that cannot be accounted for by changes in diagnostic practises, there is need to have well characterized exposure information in addition to genomic data for the study of gene-environment interactions. The case-control and cohort study designs are most suited for studying associations between risk factors and occurrence of an outcome. However, the case control study design is subject to several biases and hence the preferred choice of the prospective cohort study design in investigating geneenvironment interactions. A major limitation of utilising the prospective cohort study design is the long duration of follow-up of participants to accumulate adequate outcome data. The GWAS paradigm is a timely reminder for traditional epidemiologists who often perform one- or few-at-a-time hypothesis-testing studies with the main hallmarks of GWAS being the agnostic approach and the massive dataset derived through large-scale international collaborations.

• Journal of Preventive Medicine and Public Health
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• v.42 no.6
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• pp.343-348
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• 2009

The final decision of study design in molecular and genetic epidemiology is usually a compromise between the research study aims and a number of logistical and ethical barriers that may limit the feasibility of the study or the interpretation of results. Although biomarker measurements may improve exposure or disease assessments, it is necessary to address the possibility that biomarker measurement inserts additional sources of misclassification and confounding that may lead to inconsistencies across the research literature. Studies targeting multi-causal diseases and investigating gene-environment interactions must not only meet the needs of a traditional epidemiologic study but also the needs of the biomarker investigation. This paper is intended to highlight the major issues that need to be considered when developing an epidemiologic study utilizing biomarkers. These issues covers from molecular and genetic epidemiology (MGE) study designs including cross-sectional, cohort, case-control, clinical trials, nested case-control, and case-only studies to matching the study design to the MGE research goals. This review summarizes logistical barriers and the most common epidemiological study designs most relevant to MGE and describes the strengths and limitations of each approach in the context of common MGE research aims to meet specific MEG objectives.

• Korean Journal of Veterinary Service
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• v.33 no.2
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• pp.113-119
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• 2010

Brucellosis is a major zoonosis caused by Gram negative facultative intracellular bacterial organisms of the genus Brucella that are pathogenic for a wide variety of animals and human beings. Because of its economic impact on animal health and the risk to the human population,most countries have a brucellosis control program. Brucellosis is also an economically important andprevalent disease in Bangladesh. The accurate and prompt diagnosis is very important in controlling and eradicating of the disease in animals. The present study was undertaken to determine the seroprevalence of brucellosis in cattle in Mymensingh and Patuakhali district of Bangladesh. A total of 120 serum samples were collected from the two districts along with a questionnaire related to the epidemiology of the disease. The sampleswere screened by using slow agglutination test and conformed by indirect enzyme linked immunosorbent assay. The overall seroprevalence of brucellosis in cattle was 5% and it was observed that, a higher prevalence of Brucella was found in female than male, through natural breeding than artificial insemination (AI) and animal above 4 years old are highly susceptible than younger ones. Higher prevalence was found in aborted animals in comparison with non aborted animal. Finally, the study revealed that the female animal has more susceptible to brucellosis and healthy semen should be used for AI.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.441-447
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• 2014

Background: Multi-state models are appropriate for cancer studies such as gastrectomy which have high mortality statistics. These models can be used to better describe the natural disease process. But reaching that goal requires making assumptions like Markov and homogeneity with time. The present study aims to investigate these hypotheses. Materials and Methods: Data from 330 patients with gastric cancer undergoing surgery at Iran Cancer Institute from 1995 to 1999 were analyzed. To assess Markov assumption and time homogeneity in modeling transition rates among states of multi-state model, Cox-Snell residuals, Akaikie information criteria and Schoenfeld residuals were used, respectively. Results: The assessment of Markov assumption based on Cox-Snell residuals and Akaikie information criterion showed that Markov assumption was not held just for transition rate of relapse (state 1 ${\rightarrow}$ state 2) and for other transition rates - death hazard without relapse (state 1 ${\rightarrow}$ state 3) and death hazard with relapse (state 2 ${\rightarrow}$ state 3) - this assumption could also be made. Moreover, the assessment of time homogeneity assumption based on Schoenfeld residuals revealed that this assumption - regarding the general test and each of the variables in the model- was held just for relapse (state 1 ${\rightarrow}$ state 2) and death hazard with a relapse (state 2 ${\rightarrow}$ state 3). Conclusions: Most researchers take account of assumptions such as Markov and time homogeneity in modeling transition rates. These assumptions can make the multi-state model simpler but if these assumptions are not made, they will lead to incorrect inferences and improper fitting.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6751-6755
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• 2013

Background: Research on cancers with a high rate of mortality such as those occurring in the stomach requires using models which can provide a closer examination of disease processes and provide researchers with more accurate data. Various models have been designed based on this issue and the present study aimed at evaluating such models. Materials and Methods: Data from 330 patients with gastric cancer undergoing surgery at Iran Cancer Institute from 1995 to 1999 were analyzed. Cox-Snell Residuals and Akaike Information Criterion were used to compare parametric and semi-parametric Cox models in modeling transition rates among different states of a multi-state model. R 2.15.1 software was used for all data analyses. Results: Analysis of Cox-Snell Residuals and Akaike Information Criterion for all probable transitions among different states revealed that parametric models represented a better fitness. Log-logistic, Gompertz and Log-normal models were good choices for modeling transition rate for relapse hazard (state $1{\rightarrow}state$ 2), death hazard without a relapse (state $1{\rightarrow}state$ 3) and death hazard with a relapse (state $2{\rightarrow}state$ 3), respectively. Conclusions: Although the semi-parametric Cox model is often used by most cancer researchers in modeling transition rates of multistate models, parametric models in similar situations- as they do not need proportional hazards assumption and consider a specific statistical distribution for time to occurrence of next state in case this assumption is not made - are more credible alternatives.

• Journal of Veterinary Science
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• v.19 no.6
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• pp.855-857
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• 2018

Porcine parvovirus 7 (PPV7) was first detected in Korean pig farms in 2017. The detection rate of PPV7 DNA was 24.0% (30/125) in aborted pig fetuses and 74.9% (262/350) in finishing pigs, suggesting that PPV7 has circulated among Korean domestic pig farms. Phylogenetic analysis based on capsid protein amino acid sequences demonstrated that the nine isolated Korean strains (PPV-KA1-3 and PPV-KF1-6) were closely related to the previously reported USA and Chinese PPV7 strains. In addition, the Korean strains exhibit genetic diversity with both insertion and deletion mutations. This study contributes to the understanding of the molecular epidemiology of PPV7 in Korea.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.22
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• pp.9599-9602
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• 2014

Background: Postoperative adjuvant radiotherapy (RT) in the management of early stage endometrial cancer (EC) is still controversial. Here we report our institutional experience with patients who received postoperative RT for stage I-II EC over a period of 35 years and assess potential predictors of local recurrence (LR), distant metastasis (DM), and overall survival (OS). Materials and Methods: A total of 188 patients undergoing postoperative RT for stage IA-II EC between 1977 and 2012 were evaluated. Some 96 received median 46 Gy whole pelvic radiotherapy (WPRT) (range: 40-60 Gy), 37 were given WPRT with vaginal cuff therapy (VCT), and 55 received only VCT either with brachytherapy (BT) or stereotactic body radiotherapy (SBRT). Chemotherapy was given to 5 patients with uterine papillary serous carcinoma (UPSC). Logistic regression analysis was used to assess the effect of clinicopathological factors on LR, DM, and OS. Results: Median follow-up time was 11 years (range: 1-35 years). At the time of analysis, 34 patients were not alive. Of the 15 patients with LR, 7 (46.7%) recurred in the vaginal stump, 5 (33.3%) in the pelvic region, and 3 (20%) in the paraaortic nodal region, while 12 had distant metastasis. UPSC histology (p=0.027), sole VCT (p=0.041), high histologic grade (p=0.034), and age ${\geq}71$ (p=0.04) were poor prognostic factors on univariate analysis. Conclusions: In our patients receiving radiotherapy for early-stage EC, grade III disease and age ${\geq}71$ were associated with shorter OS whereas UPSC histology was an independent predictor for both LR and DM.