A genome-wide DNA methylation study in colorectal carcinoma

被引:59
|
作者
Kibriya, Muhammad G. [1 ]
Raza, Maruf [2 ]
Jasmine, Farzana [1 ]
Roy, Shantanu [1 ]
Paul-Brutus, Rachelle [1 ]
Rahaman, Ronald [1 ]
Dodsworth, Charlotte [1 ]
Rakibuz-Zaman, Muhammad [3 ,4 ]
Kamal, Mohammed [2 ]
Ahsan, Habibul [1 ,5 ,6 ,7 ]
机构
[1] Univ Chicago, Dept Hlth Studies, Chicago, IL 60637 USA
[2] BSMMU, Dhaka 1000, Bangladesh
[3] Columbia Univ, Dhaka, Bangladesh
[4] Univ Chicago, Res Off Bangladesh, Dhaka, Bangladesh
[5] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA
[6] Univ Chicago, Dept Med, Chicago, IL 60637 USA
[7] Univ Chicago, Ctr Comprehens Canc, Chicago, IL 60637 USA
来源
BMC MEDICAL GENOMICS | 2011年 / 4卷
基金
美国国家卫生研究院;
关键词
MICROSATELLITE INSTABILITY; BRAF MUTATION; CANCER; PHENOTYPE; HYPOMETHYLATION; EPIGENOTYPES; METASTASIS; EXPRESSION; PROFILES; PATHWAYS;
D O I
10.1186/1755-8794-4-50
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: We performed a genome-wide scan of 27,578 CpG loci covering 14,475 genes to identify differentially methylated loci (DML) in colorectal carcinoma (CRC). Methods: We used Illumina's Infinium methylation assay in paired DNA samples extracted from 24 fresh frozen CRC tissues and their corresponding normal colon tissues from 24 consecutive diagnosed patients at a tertiary medical center. Results: We found a total of 627 DML in CRC covering 513 genes, of which 535 are novel DML covering 465 genes. We also validated the Illumina Infinium methylation data for top-ranking genes by non-bisulfite conversion q-PCR-based methyl profiler assay in a subset of the same samples. We also carried out integration of genome-wide copy number and expression microarray along with methylation profiling to see the functional effect of methylation. Gene Set Enrichment Analysis (GSEA) showed that among the major "gene sets" that are hypermethylated in CRC are the sets: "inhibition of adenylate cyclase activity by G-protein signaling", "Rac guanyl-nucleotide exchange factor activity", "regulation of retinoic acid receptor signaling pathway" and "estrogen receptor activity". Two-level nested cross validation showed that DML-based predictive models may offer reasonable sensitivity (around 89%), specificity (around 95%), positive predictive value (around 95%) and negative predictive value (around 89%), suggesting that these markers may have potential clinical application. Conclusion: Our genome-wide methylation study in CRC clearly supports most of the previous findings; additionally we found a large number of novel DML in CRC tissue. If confirmed in future studies, these findings may lead to identification of genomic markers for potential clinical application.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Genome-Wide Profiling of DNA Methylation and Tumor Progression in Human Hepatocellular Carcinoma
    Nishida, Naoshi
    Nishimura, Takafumi
    Nakai, Takuya
    Chishina, Hirokazu
    Arizumi, Tadaaki
    Takita, Masahiro
    Kitai, Satoshi
    Yada, Norihisa
    Hagiwara, Satoru
    Inoue, Tatsuo
    Minami, Yasunori
    Ueshima, Kazuomi
    Sakurai, Toshiharu
    Kudo, Masatoshi
    DIGESTIVE DISEASES, 2014, 32 (06) : 658 - 663
  • [42] Genome-wide aberrant DNA methylation of microRNA host genes in hepatocellular carcinoma
    Shen, Jing
    Wang, Shuang
    Zhang, Yu-Jing
    Kappil, Maya A.
    Wu, Hui-Chen
    Kibriya, Muhammad G.
    Wang, Qiao
    Jasmine, Farzana
    Ahsan, Habibul
    Lee, Po-Huang
    Yu, Ming-Whei
    Chen, Chien-Jen
    Santella, Regina M.
    EPIGENETICS, 2012, 7 (11) : 1230 - 1237
  • [43] Estimating genome-wide DNA methylation heterogeneity with methylation patterns
    Pei-Yu Lin
    Ya-Ting Chang
    Yu-Chun Huang
    Pao-Yang Chen
    Epigenetics & Chromatin, 16
  • [44] Comparative genome-wide DNA methylation analysis of colorectal tumor and matched normal tissues
    Simmer, Femke
    Brinkman, Arie B.
    Assenov, Yassen
    Matarese, Filomena
    Kaan, Anita
    Sabatino, Lina
    Villanueva, Alberto
    Huertas, Dori
    Esteller, Manel
    Lengauer, Thomas
    Bock, Christoph
    Colantuoni, Vittorio
    Altucci, Lucia
    Stunnenberg, Hendrik G.
    EPIGENETICS, 2012, 7 (12) : 1355 - 1367
  • [45] Genome-Wide DNA Methylation Study in Lupus in an Admixed Mexican Population
    Teruel, Maria
    Coit, Patrick
    Dozmorov, Mikhail
    Cardiel, Mario
    Garcia-De La Torre, Ignacio
    Maradiaga-Cecena, Marco A.
    Moctezuma, Jose Francisco
    Tusie-Luna, Maria Teresa
    Alarcon-Riquelme, Marta
    Sawalha, Amr H.
    ARTHRITIS & RHEUMATOLOGY, 2017, 69
  • [46] Meningeal solitary fibrous tumor: A genome-wide DNA methylation study
    Eschbacher, K.
    Tran, Q.
    Jenkins, S.
    Fritchie, K.
    Moskalev, E.
    Stoehr, R.
    Caron, A.
    Link, M.
    Brown, P.
    Guajardo, A.
    Brat, D.
    Wu, A.
    Santagata, S.
    Louis, D.
    Brastianos, P.
    Kaplan, A.
    Alexander, B.
    Rossi, S.
    Ferrarese, F.
    Raleigh, D.
    Nguyen, M.
    Gross, J.
    Vega, J. Velazquez
    Rodriguez, F.
    Perry, A.
    Alvarez, M. Martinez-Lage
    Orr, B.
    Haller, F.
    Giannini, C.
    JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 2023, 82 (06): : 557 - 558
  • [47] Genome-wide analysis of DNA methylation in hepatoblastoma tissues
    Cui, Ximao
    Liu, Baihui
    Zheng, Shan
    Dong, Kuiran
    Dong, Rui
    ONCOLOGY LETTERS, 2016, 12 (02) : 1529 - 1534
  • [48] GENOME-WIDE DNA METHYLATION ANALYSIS IN UTERINE LEIOMYOSARCOMA
    Zhang, Q.
    Dong, R. F.
    Lin, J.
    Liu, Y. G.
    Wei, J. J.
    Kong, B. H.
    INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2014, 24 (09) : 1446 - 1448
  • [49] Genome-wide analysis of DNA methylation in bronchial washings
    Um, Sang-Won
    Kim, Yujin
    Lee, Bo Bin
    Kim, Dongho
    Lee, Kyung-Jong
    Kim, Hong Kwan
    Han, Joungho
    Kim, Hojoong
    Shim, Young Mog
    Kim, Duk-Hwan
    CLINICAL EPIGENETICS, 2018, 10
  • [50] Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
    Sugimoto, Kiichi
    Momose, Hirotaka
    Ito, Tomoaki
    Orita, Hajime
    Sato, Koichi
    Sakamoto, Kazuhiro
    Brock, Malcolm, V
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2020, (163): : 1 - 11