• Journal of Genetic Medicine
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• v.7 no.1
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• pp.24-36
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• 2010

Colorectal cancer is one of the most steeply increasing malignancies in Korea. Among 398,824 new patients recorded by the Korea Central Cancer Registry between 2003 and 2005, 47,915 cases involved colorectal cancers, accounting for 12.0 % of all malignancies. In 2002, total number of colorectal cancer cases had accounted for 11.2 % of all malignancies. Hereditary syndromes are the source of approximately 5% to 15% of overall colorectal cancer cases. Hereditary colorectal cancers are divided into two types: hereditary nonpolyposis colorectal cancer (HNPCC), and cancers associated with hereditary colorectal polyposis, including familial adenomatous polyposis (FAP), Peutz-Jeghers syndrome, juvenile polyposis, and the recently reported hMutYH (MYH)-associated polyposis (MAP). Hereditary colorectal cancers have unique clinical features distinct from sporadic cancer because these are due to germline mutations of the causative genes; (i) early age-of-onset of cancer, (ii) frequent association with synchronous or metachronous tumors, (iii) frequent association with extracolonic manifestations. The management strategy for patients with hereditary colorectal cancer is quite different from that for sporadic cancer. Furthermore, screening, genetic counseling, and surveillance for at-risk familial member are also important. A well-organized registry can plays a central role in the surveillance and management of families affected by hereditary colorectal cancers. Here, we discuss each type of hereditary colorectal cancer, focusing on the clinical and genetic characteristics, management, genetic screening, and surveillance.

• Journal of Genetic Medicine
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• v.6 no.2
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• pp.179-182
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• 2009

Germline mutations in BRCA1 and BRCA2 confer high risks of breast and ovarian cancer. Among BRCA1- and BRCA2- mutation carriers, the average cumulative risks for ovarian cancer by age 70 years were 39% and 11%, respectively. There are other hereditary cancer syndromes such as Hereditary nonpolyposis colorectal cancer also confer a higher risk for developing ovarian cancer, but over 90% of all hereditary ovarian cancers are thought to be associated with BRCA1 or BRCA2 mutations. This report concerns a Korean woman diagnosed with ovarian cancer present with a family history of ovarian and various other cancers, in whom a germline BRCA1 mutation was identified and the same mutation was found in one of two daughters of her's. Since there could be more hereditary ovarian cancer patients in Korean than clinicians thought, both primary and secondary prevention of ovarian cancer based on family history and genetic information is important to reduce cancer incidence and mortality.

• Journal of Life Science
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• v.27 no.10
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• pp.1215-1224
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• 2017

Until now, various oncogenic pathways were idenfied. The accumulation of DNA mutation induces genomic instability in the cell, and it makes cancer. The development of bioinformatics and genomics, to find the precise and reliable biomarker is available. This biomarker could be applied the early-dignosis, prediction and convalescence of cancer. Recently, Transposable elements (TEs) have been attracted as the regulator of genes, because they occupy a half of human genome, and the cause of various diseases. TEs induce DNA mutation, as well as the regulation of gene expression, that makes to cancer development. So, we confirmed the relationship between TEs and colon cancer, and provided the clue for colon cancer biomarker. First, we confirmed long interspersed nuclear element-1 (LINE-1), Alu, and long terminal repeats (LTRs) and their relationship to colon cancer. Because these elements have large composition and enormous effect to the human genome. Interestingly, colon cancer specific patterns were detected, such as the hypomethylation of LINE-1, LINE-1 insertion in the APC gene, hypo- or hypermethylation of Alu, and isoform derived from LTR insertion. Moreover, hypomethylation of LINE-1 in proto-oncogene is used as the biomarker of colon cancer metastasis, and MLH1 mutation induced by Alu is detected in familial or hereditary colon cancer. The genes, effected by TEs, were analyzed their expression patterns by in silico analysis. Then, we provided tissue- and gender-specific expression patterns. This information can provide reliable cancer biomarker, and apply to prediction and diagnosis of colon cancer.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.169.2-169.2
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• 2012

암 관련 유전자를 후성유전학적으로 제어하는 방법에는 miRNA, DNA 메틸화, 그리고 히스톤 단백질의 변형에 의해서 가능하다. 그러나 후성유전학적 방법을 통해서 암 관련 유전자를 제어하기 위해서는 첫째, 한 유전자에 여러 miRNA들에 의해서 조절되기 때문에 선택의 문제가 있으며, 둘째, 암 관련 유전자를 제어하는 DNA 메틸화 패턴이 다양하며, 셋째, 히스톤 단백질의 변형 자체가 다양하며 각 유전자에 대한 히스톤 변형의 특이성이 있다. 따라서 후성유전학 기반 하에서 암 관련 유전자를 제어하기 위해서는 시스템 수준에서의 접근이 바람직하다. 본 연구에서는 암 관련 유전자의 네트워크를 구축하고, 이 네트워크를 기반으로 암 유전자를 제어하는 miRNA에 최우선 순위를 부여하는 방법, 암 유전자의 DNA 메틸화 모티프 패턴을 분석하는 방법, 히스톤 변형과 암 관련유전자의 상관관계를 분석하는 방법을 제시하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.19-21
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• 2012

모든 암 세포는 체세포 변이를 동반한다. 따라서 암 유전체 변이 분석에 의하여 암을 발생시키는 유전자 및 진단/치료법을 찾아낼 수 있다. 본 연구에서는 차세대 시퀀싱 데이터를 이용하여 암 특이적 단이 반복 변이(copy number variation, CNV) 유형을 밝히는 새로운 알고리즘을 제안한다. 제안하는 방식은 암 환자의 정상 세포와 암세포로부터 얻어진 정상 유전체와 암 유전체를 동시 분석하여 각각 CNV 후보 영역을 추출하며, 통계적 유의성 분석을 통하여 암 특이적 CNV 후보 영역을 선별하고, 다음 후처리 과정에서 참조 표준 서열(reference sequence)에 존재하는 오류 영역 보정 작업을 수행하여 정확한 암 특이적 CNV 영역을 추출해 낸다. 또한 다수의 대용량 유전체 데이터 동시 분석을 위하여 맵리듀스(MapReduce) 기법을 기반으로 하는 병렬 수행 알고리즘을 제안한다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.6
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• pp.566-573
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• 2002

In this paper, dielectric characteristics of pathological tissues cultivated using the xenograft method were analyzed. Since cancerous tissues were extracted from the nude mouse just before the measurements, they were maintained as fresh as living tissues in the measurements. This would be one of the advantages to get more accurate and reliable results. Dielectric properties of four cancerous tissues such as brain cancer, breast cancer, colon cancer and gastric carcinoma were measured in the frequency range between 45 MHz and 5 GHz. For the measurement of the dielectric properties, 58 xenografted samples were used. It was found that all of the cancerous tissues had the similar dielectric constant values. Comparing with the normal tissues, dielectric constant values of brain cancer, breast cancer and colon cancer were higher than those of the normal tissues except gastric carcinoma in the frequency range.

• Journal of Genetic Medicine
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• v.8 no.2
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• pp.105-112
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• 2011

Purpose: Sharing genetic information with family members is important for cancer awareness and prevention. The purpose of this study is to examine disclosure patterns of positive BRCA genetic test results to patients' relatives. Materials and Methods: A total of 106 probands who had positive BRCA genetic test results from the Korean Hereditary Breast Cancer Study participated in our study. Subjects were asked whether they had disclosed their genetic test results to first-, second-, and third-degree relatives. Univariate and multivariate analyses were used to identify factors associated with positive result sharing with close and distant relatives. Results: In total, 99 respondents (93.4%) informed at least one at-risk relative of the test result, and they all reported that they had disclosed their genetic test result to a first-degree relative. Communication of test results to other relatives occurred significantly less often, with only 31 of 99 subjects (31.3%) sharing their results with second- or third-degree relatives. In the results of univariate analyses, disclosure of genetic test results to more distant relatives was associated with marital status and months since post-test counseling. The reasons for communication were to provide information about the BRCArelated cancer risk and to recommend the genetic test. Conclusion: Most individuals with the BRCA mutation share their test results with first-degree family members; however, these results reach more distant relatives significantly less often. Therefore, it is necessary to encourage patients' communication with extended family members through systematic genetic counseling.

• Women's Health Nursing
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• v.25 no.4
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• pp.365-378
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• 2019

Purpose: The awareness of hereditary breast and ovarian cancer (HBOC) and BRCA testing is increasing in Korea. Compared to the sizable research on HBOC knowledge among breast cancer women, studies in the ovarian cancer population are limited. This paper aimed to investigate the level of knowledge of hereditary ovarian cancer and anxiety in women diagnosed with serous ovarian cancer in Korea and determine differences in the knowledge and anxiety according to whether genetic testing was undertaken and whether BRCA1 or BRCA2 mutations were present. Methods: Using a descriptive research design, a cross-sectional survey was conducted on 100 women diagnosed with serous ovarian cancer at N hospital in Gyeonggi-do, Korea, from July to November 2018. The collected data were analyzed by descriptive statistics, independent t-tests, one-way analysis of variance, and Pearson's correlation coefficient using the SPSS 21.0 program. Results: The hereditary ovarian cancer-related knowledge score was mid-level (mean score 8.90±3.29 out of a total of 17), as was the state anxiety level was mid-level (mean score 47.96±3.26 out of possible score range of 20-80). Genetic knowledge of hereditary ovarian cancer was associated with age, education, occupation, genetic counseling, and BRCA mutations. There were no statistically significant factors related to anxiety and there were no statistically significant correlations between knowledge level and anxiety. Conclusion: More comprehensive education on gene-related cancer is needed for ovarian cancer patients, especially for items with low knowledge scores. A genetic counseling protocol should be developed to allow more patients to alleviate their anxiety through genetic counseling.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.37-39
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• 2006

지지 벡터 기계(Support Vector Machine; SVM)는 기본적으로 이진분류를 위해 고안되었지만, 최근 다양한 분류기 생성전략과 결합전략이 고안되어 다중부류 분류에도 적용되고 있다. 본 논문에서는 OVR(One-Vs-Rest) 전략으로 생성된 SVM을 NB(Naive Bayes) 분류기를 이용하여 동적으로 구성함으로써, OVR SVM을 이용한 다중부류 분류 시스템에서 자주 발생하는 동점을 효과적으로 해결하는 방법은 제안한다. 이 방법을 유전발현 데이터를 이용한 다중부류 암 분류에 적용하였는데, 고차원의 데이터로부터 NB 분류기 구축에 유용한 유전자를 선택하기 위해 Pearson 상관계수를 사용하였다. 14개의 암 유형과 16,063개의 유전발현 수준을 가지는 대표적인 다중부류 암 분류 데이터인 GCM 암 데이터에 적용하여 제안하는 방법의 유용성을 확인하였다.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.47-56
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• 2018

The aim of this study is investigate the research trends by analyzing the researches related to Korean and international genetics in oncology nursing. We conducted a text network analysis focusing on the key words presented in the abstracts of papers published in journals related to genetics in oncology nursing. Nurse, Cancer, Genetic, Patient, Knowledge, Care, and Genetic Test were identified as keywords and centralized keywords. As a result of studying research trends over time, researches including keywords such as information, care, and knowledge have increased since the completion of the Human Genome Project in 2003. Key words classified through the meta paradigm of nursing were health, nursing, human, environment order. This study is meaningful in that it can be used to identify trends in tumor genetic nursing research and to set the direction of development of nursing intervention for hereditary cancer patients.