Literature DB >> 32627651

Purity estimation from differentially methylated sites using Illumina Infinium methylation microarray data.

Riasat Azim1, Shulin Wang1, Su Zhou1, Xing Zhong1.   

Abstract

Solid tissues collected from patient-driven clinical settings are composed of both normal and cancer cells, which often precede complications in data analysis and epigenetic findings. The Purity estimation of samples is crucial for reliable genomic aberration identification and uniform inter-sample and inter-patient comparisons as well. Here, an effective and flexible method has been developed and designed to estimate the level of methylation, which infers tumor purity without prior knowledge from the other datasets. The comprehensive analysis of our approach on Illumina Infinium 450 k methylation microarray explains that TCGA Breast Cancer data exhibits improved performance for purity assessment. This assessment has a strong correlation with other advanced methods.

Entities:  

Keywords:  DNA methylation; Tumor purity; cancer epigenetics; differential methylation; statistical modeling

Year:  2020        PMID: 32627651      PMCID: PMC7469651          DOI: 10.1080/15384101.2020.1789315

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  31 in total

1.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

2.  Promoter-Specific Hypomethylation Is Associated with Overexpression of PLS3, GATA6, and TWIST1 in the Sezary Syndrome.

Authors:  Henry K Wong; Heather Gibson; Timothy Hake; Susan Geyer; Julie Frederickson; Guido Marcucci; Michael A Caligiuri; Pierluigi Porcu; Anjali Mishra
Journal:  J Invest Dermatol       Date:  2015-03-25       Impact factor: 8.551

3.  Differential methylation values in differential methylation analysis.

Authors:  Changchun Xie; Yuet-Kin Leung; Aimin Chen; Ding-Xin Long; Catherine Hoyo; Shuk-Mei Ho
Journal:  Bioinformatics       Date:  2019-04-01       Impact factor: 6.937

4.  The association between copy number aberration, DNA methylation and gene expression in tumor samples.

Authors:  Wei Sun; Paul Bunn; Chong Jin; Paul Little; Vasyl Zhabotynsky; Charles M Perou; David Neil Hayes; Mengjie Chen; Dan-Yu Lin
Journal:  Nucleic Acids Res       Date:  2018-04-06       Impact factor: 16.971

5.  Methylated genes in breast cancer: associations with clinical and histopathological features in a familial breast cancer cohort.

Authors:  Theresa Swift-Scanlan; Russell Vang; Amanda Blackford; Mary Jo Fackler; Saraswati Sukumar
Journal:  Cancer Biol Ther       Date:  2011-05-15       Impact factor: 4.742

6.  Linkage of early-onset familial breast cancer to chromosome 17q21.

Authors:  J M Hall; M K Lee; B Newman; J E Morrow; L A Anderson; B Huey; M C King
Journal:  Science       Date:  1990-12-21       Impact factor: 47.728

7.  Genome wide classification and characterisation of CpG sites in cancer and normal cells.

Authors:  Mohammadmersad Ghorbani; Michael Themis; Annette Payne
Journal:  Comput Biol Med       Date:  2015-10-23       Impact factor: 4.589

8.  Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis.

Authors:  Pan Du; Xiao Zhang; Chiang-Ching Huang; Nadereh Jafari; Warren A Kibbe; Lifang Hou; Simon M Lin
Journal:  BMC Bioinformatics       Date:  2010-11-30       Impact factor: 3.169

9.  MethVisual - visualization and exploratory statistical analysis of DNA methylation profiles from bisulfite sequencing.

Authors:  Arie Zackay; Christine Steinhoff
Journal:  BMC Res Notes       Date:  2010-12-15

Review 10.  Overexpression of Cancer-Associated Genes via Epigenetic Derepression Mechanisms in Gynecologic Cancer.

Authors:  Hae Min Jeong; Mi Jeong Kwon; Young Kee Shin
Journal:  Front Oncol       Date:  2014-02-04       Impact factor: 6.244

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