• Title/Summary/Keyword: dna methylation

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A Study on Gene Search Using Test for Interval Data (구간형 데이터 검정법을 이용한 유전자 탐색에 관한 연구)

  • Lee, Seong-Keon
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2805-2812
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    • 2018
  • The methylation score, expressed as a percentage of the methylation status data derived from the iterative sequencing process, has a value between 0 and 1. It is contrary to the assumption of normal distribution that simply applying the t-test to examine the difference in population-specific methylation scores in these data. In addition, since the result may vary depending on the number of repetitions of sequencing in the process of methylation score generation, a method that can analyze such errors is also necessary. In this paper, we introduce the symbolic data analysis and the interval K-S test method which convert observation data into interval data including uncertainty rather than one numerical data. In addition, it is possible to analyze the characteristics of methylation score by using Beta distribution without using normal distribution in the process of converting into interval data. For the data analysis, the nature of the proposed method was examined using sequencing data of actual patients and normal persons. While the t-test is only possible for the location test, it is found that the interval type K-S statistic can be used to test not only the location parameter but also the heterogeneity of the distribution function.

Deciphering the DNA methylation landscape of colorectal cancer in a Korean cohort

  • Seok-Byung Lim;Soobok Joe;Hyo-Ju Kim;Jong Lyul Lee;In Ja Park;Yong Sik Yoon;Chan Wook Kim;Jong-Hwan Kim;Sangok Kim;Jin-Young Lee;Hyeran Shim;Hoang Bao Khanh Chu;Sheehyun Cho;Jisun Kang;Si-Cho Kim;Hong Seok Lee;Young-Joon Kim;Seon-Young Kim;Chang Sik Yu
    • BMB Reports
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    • v.56 no.10
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    • pp.569-574
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    • 2023
  • Aberrant DNA methylation plays a pivotal role in the onset and progression of colorectal cancer (CRC), a disease with high incidence and mortality rates in Korea. Several CRC-associated diagnostic and prognostic methylation markers have been identified; however, due to a lack of comprehensive clinical and methylome data, these markers have not been validated in the Korean population. Therefore, in this study, we aimed to obtain the CRC methylation profile using 172 tumors and 128 adjacent normal colon tissues of Korean patients with CRC. Based on the comparative methylome analysis, we found that hypermethylated positions in the tumor were predominantly concentrated in CpG islands and promoter regions, whereas hypomethylated positions were largely found in the open-sea region, notably distant from the CpG islands. In addition, we stratified patients by applying the CpG island methylator phenotype (CIMP) to the tumor methylome data. This stratification validated previous clinicopathological implications, as tumors with high CIMP signatures were significantly correlated with the proximal colon, higher prevalence of microsatellite instability status, and MLH1 promoter methylation. In conclusion, our extensive methylome analysis and the accompanying dataset offers valuable insights into the utilization of CRC-associated methylation markers in Korean patients, potentially improving CRC diagnosis and prognosis. Furthermore, this study serves as a solid foundation for further investigations into personalized and ethnicity-specific CRC treatments.

Exploring the DNA methylome of Korean patients with colorectal cancer consolidates the clinical implications of cancer-associated methylation markers

  • Sejoon Lee;Kil-yong Lee;Ji-Hwan Park;Duck-Woo Kim;Heung-Kwon Oh;Seong-Taek Oh;Jongbum Jeon;Dongyoon Lee;Soobok Joe;Hoang Bao Khanh Chu;Jisun Kang;Jin-Young Lee;Sheehyun Cho;Hyeran Shim;Si-Cho Kim;Hong Seok Lee;Young-Joon Kim;Jin Ok Yang;Jaeim Lee;Sung-Bum Kang
    • BMB Reports
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    • v.57 no.3
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    • pp.161-166
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    • 2024
  • Aberrant DNA methylation plays a critical role in the development and progression of colorectal cancer (CRC), which has high incidence and mortality rates in Korea. Various CRC-associated methylation markers for cancer diagnosis and prognosis have been developed; however, they have not been validated for Korean patients owing to the lack of comprehensive clinical and methylome data. Here, we obtained reliable methylation profiles for 228 tumor, 103 adjacent normal, and two unmatched normal colon tissues from Korean patients with CRC using an Illumina Infinium EPIC array; the data were corrected for biological and experiment biases. A comparative methylome analysis confirmed the previous findings that hypermethylated positions in the tumor were highly enriched in CpG island and promoter, 5' untranslated, and first exon regions. However, hypomethylated positions were enriched in the open-sea regions considerably distant from CpG islands. After applying a CpG island methylator phenotype (CIMP) to the methylome data of tumor samples to stratify the CRC patients, we consolidated the previously established clinicopathological findings that the tumors with high CIMP signatures were significantly enriched in the right colon. The results showed a higher prevalence of microsatellite instability status and MLH1 methylation in tumors with high CMP signatures than in those with low or non-CIMP signatures. Therefore, our methylome analysis and dataset provide insights into applying CRC-associated methylation markers for Korean patients regarding cancer diagnosis and prognosis.

Aberrant DNA Methylation of P16, MGMT, hMLH1 and hMSH2 Genes in Combination with the MTHFR C677T Genetic Polymorphism in Gastric Cancer

  • Xiong, Hai-Lin;Liu, Xun-Qi;Sun, Ai-Hua;He, Ying;Li, Jun;Xia, Yuan
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.5
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    • pp.3139-3142
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    • 2013
  • Associations of P16, MGMT, hMLH1 and hMLH2 with gastric cancer and their relation with MTHFR status in gastric patients who were confirmed with pathological diagnosis were assessed. Aberrant DNA methylation of P16, MGMT, hMLH1 and hMLH2 and polymorphisms of MTHFR C677T were assayed. The proportional DNA hypermethylation in P16, MGMT, hMLH1 and hMLH2 in cancer tissues was significantly higher than in remote normal-appearing tissues. DNA hypermethylation of P16 and MGMT was correlated with the T and N stages. Individuals with homozygotes (TT) of MTHFR C677T had significant risk of hypermethylation of MGMT in cancer tissues [OR (95% CI)= 3.47(1.41-7.93)]. However, we did not find association between polymorphism in MTHFR C677T and risk of hypermethylation in P16, MGMT, hMLH1 and hMLH2 genes either in cancer or remote normal-appearing tissues. Aberrant hypermethylation of P16, MGMT, hMLH1 and hMLH2 could be predictive of gastric cancer.

C13orf18 and C1orf166 (MULAN) DNA Genes Methylation are Not Associated with Cervical Cancer and Precancerous Lesions of Human Papillomavirus Genotypes in Iranian Women

  • Sohrabi, Amir;Mirab-Samiee, Siamak;Rahnamaye-Farzami, Marjan;Rafizadeh, Mitra;Akhavan, Setareh;Hashemi-Bahremani, Mohammad;Modarressi, Mohammad Hossein
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.16
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    • pp.6745-6748
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    • 2014
  • Background: Nowadays, molecular biomarkers have critical roles for cancer diagnosis and prognosis in clinical laboratories. Human papillomaviruses are the main agents for etiology of cervical carcinoma. The present survey was conducted to evaluate the genes methylation in cervical cancer and precancerous lesions involvement with HPV genotypes. Materials and Methods: C13orf18 and C10rf166 (MULl or Mulan) DNA methylation as potential biomarkers and risk factors was investigated in 112 liquid based cytology and Formalin-Fixed Paraffin-Embedded tissue specimens in Iranian females with cervical intraepithelial neoplasia and dysplasia. Results: In this survey, HPV18 (61.6%) and HPV16 (42.9%) proved to be the most common HPV genotypes identified by In-House Multiplex Real Time PCR. There were no significant relationship between HPV positivity and the methylated DNA genes mentioned above (p>0.05). Conclusions: Our MethyLight data demonstrated that these genes could not be considered as specific, sensitive and suitable prognostic biomarkers in cervical dysplasia related HPV. It is suggested that further studies with more patients should be done on candidate methylated markers in different countries in order to plan for cervical cancer prevention.

Effects of dietary polyphenol (-)-epigallocatechin-3-gallate on the differentiation of mouse C2C12 myoblasts (식이성 폴리페놀 (-)-epigallocatechin-3-gallate가 mouse C2C12 myoblast 분화에 미치는 영향)

  • Kim, Hye-Jin;Lee, Won-Jun
    • Journal of Life Science
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    • v.17 no.3 s.83
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    • pp.420-426
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    • 2007
  • In the present investigation, we studied the modulating effects of (-)-epigallocatechin-3-gallate(EGCG) on the differentiation of mouse C2C12 myoblasts. We found that the strong inhibitory effect of EGCG on DNA methyltransferase-mediated DNA methylation induced transdifferentiation of C2C12 myoblasts into smooth muscle cells demonstrated by both morphological changes and immunofluorescent staining. C2C12 myoblasts treated with EGCG for 4 days expressed smooth muscle ${\alpha}-actin$ protein. Real-time PCR data revealed that smooth muscle ${\alpha}-actin$ mRNA was induced by EGCG treated C2C12 myoblasts in a concentration-dependent manner. Smooth muscle ${\alpha}-actin$ mRNA concentration increased 330% and 490% after 2 and 3 days of 50 ${\mu}M$ of EGCG treatment. The expression of another smooth muscle marker, transgelin, mRNA was also increased up to 9-fold by 4 days of EGCG treatment compared with control in a concentration-dependent manner. These results suggested that C2C12 enables to transdifferentiate into smooth muscle when gene expression patterns are changed by the inhibition of DNA methylation induced by EGCG. In conclusion, transdifferentiation of C2C12 myoblasts into smooth muscle is resulted from the modulating effects of EGCG on DNA methylation which subsequently results in changing the expression pattern of several genes playing a critical role in the differentiation of C2C12 myoblasts.

Alu Methylation in Serum from Patients with Nasopharyngeal Carcinoma

  • Tiwawech, Danai;Srisuttee, Ratakorn;Rattanatanyong, Prakasit;Puttipanyalears, Charoenchai;Kitkumthorn, Nakarin;Mutirangura, Apiwat
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.9797-9800
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    • 2014
  • Background: Nasopharyngeal carcinoma (NPC) is a common cancer in Southern China and Southeast Asia. Alu elements are among the most prevalent repetitive sequences and constitute 11% of the human genome. Although Alu methylation has been evaluated in many types of cancer, few studies have examined the levels of this modification in serum from NPC patients. Objective: To compare the Alu methylation levels and patterns between serum from NPC patients and normal controls. Materials and Methods: Sera from 50 NPC patients and 140 controls were examined. Quantitative combined bisulfite restriction analysis-Alu (qCOBRA-Alu) was applied to measure Alu methylation levels and characterize Alu methylation patterns. Amplified products were classified into four patterns according to the methylation status of 2 CpG sites: hypermethylated (methylation at both loci), partially methylated (methylation of either of the two loci), and hypomethylated (unmethylated at both loci). Results: A comparison of normal control sera with NPC sera revealed that the latter presented a significantly lower methylation level (p=0.0002) and a significantly higher percentage of hypomethylated loci (p=0.0002). The sensitivity of the higher percentage of Alu hypomethyted loci for distinguishing NPC patients from normal controls was 96%. Conclusions: Alu elements in the circulating DNA of NPC patients are hypomethylated. Moreover, Alu hypomethylated loci may represent a potential biomarker for NPC screening.

Prognostic Role of Methylation Status of the MGMT Promoter Determined Quantitatively by Pyrosequencing in Glioblastoma Patients

  • Kim, Dae Cheol;Kim, Ki Uk;Kim, Young Zoon
    • Journal of Korean Neurosurgical Society
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    • v.59 no.1
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    • pp.26-36
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    • 2016
  • Objective : This study investigated whether pyrosequencing can be used to determine the methylation status of the MGMT promoter as a clinical biomarker using relatively old archival tissue samples of glioblastoma. We also examined other prognostic factors for survival of glioblastoma patients. Methods : The available study set included formalin-fixed paraffin-embedded (FFPE) tissue from 104 patients at two institutes from 1997 to 2012, all of which were diagnosed histopathologically as glioblastoma. Clinicopathologic data were collected by review of medical records. For pyrosequencing analysis, the PyroMark Q96 CpG MGMT kit (Qiagen, Hilden, Germany) was used to detect the level of methylation at exon 1 positions 17-39 of the MGMT gene, which contains 5 CpGs. Results : Methylation of the MGMT promoter was detected in 43 (41.3%) of 104 samples. The average percentage methylation was $14.0{\pm}16.8%$ overall and $39.0{\pm}14.7%$ for methylated cases. There was no significant pattern of linear increase or decrease according to the age of the FFPE block (p=0.687). In multivariate analysis, age, performance status, extent of surgery, method of adjuvant therapy, and methylation status estimated by pyrosequencing were independently associated with overall survival. Additionally, patients with a high level of methylation survived longer than those with low methylation (p=0.016). Conclusion : In this study, the status and extent of methylation of the MGMT promoter analyzed by pyrosequencing were associated with overall survival in glioblastoma patients. Pyrosequencing is a quantitative method that overcomes the problems of MSP and a simple technique for accurate analysis of DNA sequences.

PAX1 Methylation Analysis by MS-HRM is Useful in Triage of High-grade Squamous Intraepithelial Lesions

  • Wang, Zhen-Ming
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.891-894
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    • 2014
  • This study is aimed to investigate the role of paired boxed gene 1 (PAX1) methylation analysis by methylation-sensitive high-resolution melting (MS-HRM) in the detection of high grade lesions in atypical squamous cells cannot exclude high-grade squamous intraepithelial lesion (ASC-H) and compared its performance with the Hybrid Capture 2 (HC2) human papillomavirus (HPV) test. In our study, 130 cases with a diagnosis of ASC-H from the cervical cytological screening by Thinprep cytologic test (TCT) technique were selected for triage. Their cervical scrapings were collected and evaluated by using PAX1 methylation analysis (MS-HRM) and high-risk HPV DNA test (HC2), followed by colposcopy and cervical biopsy. Chi-square test were used to test the differences of PAX1 methylation or HPV infection between groups. In the detection of CIN2+, the sensitivity, specificity, the PPV, NPV and the accuracy of PAX1 MS-HRM assay and high-risk HPV (HR-HPV) tests were respectively 80.6% vs 67.7%, 94.9% vs 54.5%, 83.3%, vs 31.8%, 94.0% vs 84.4%, and 91.5% vs 57.7%. The PAX1 MS-HRM assay proved superior to HR-HPV testing in the detection of high grade lesions (CIN2+) in ASC-H. This approach could screen out the majority of high grade lesion cases of ASC-H, and thus could reduce the referral rate to colposcopy.