NDLI: DNA Methylation Patterns Can Estimate Nonequivalent Outcomes of Breast Cancer with the Same Receptor Subtypes

Content Provider	PubMed Central
Author	Zhang, Min Zhang, Shaojun Wen, Yanhua Wang, Yihan Wei, Yanjun Liu, Hongbo Zhang, Dongwei Jianzhong, Su Wang, Fang Zhang, Yan
Editor	Coleman, William B.
Copyright Year	2015
Abstract	Breast cancer has various molecular subtypes and displays high heterogeneity. Aberrant DNA methylation is involved in tumor origin, development and progression. Moreover, distinct DNA methylation patterns are associated with specific breast cancer subtypes. We explored DNA methylation patterns in association with gene expression to assess their impact on the prognosis of breast cancer based on Infinium 450K arrays (training set) from The Cancer Genome Atlas (TCGA). The DNA methylation patterns of 12 featured genes that had a high correlation with gene expression were identified through univariate and multivariable Cox proportional hazards models and used to define the methylation risk score (MRS). An improved ability to distinguish the power of the DNA methylation pattern from the 12 featured genes (p = 0.00103) was observed compared with the average methylation levels (p = 0.956) or gene expression (p = 0.909). Furthermore, MRS provided a good prognostic value for breast cancers even when the patients had the same receptor status. We found that ER-, PR- or Her2- samples with high-MRS had the worst 5-year survival rate and overall survival time. An independent test set including 28 patients with death as an outcome was used to test the validity of the MRS of the 12 featured genes; this analysis obtained a prognostic value equivalent to the training set. The predict power was validated through two independent datasets from the GEO database. The DNA methylation pattern is a powerful predictor of breast cancer survival, and can predict outcomes of the same breast cancer molecular subtypes.
Related Links	http://dx.doi.org/10.1371/journal.pone.0142279
Starting Page	142279
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	11
Volume Number	10
Language	English
Publisher	Public Library of Science
Publisher Date	2015-11-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Cell-Type Specific DNA Methylation Patterns Define Human Breast Cellular Identity

Global DNA Methylation of Ischemic Stroke Subtypes

Tissue Specific DNA Methylation in Normal Human Breast Epithelium and in Breast Cancer

Array-Based DNA Methylation Profiling for Breast Cancer Subtype Discrimination

The Association of Low-To-Moderate Alcohol Consumption with Breast Cancer Subtypes Defined by Hormone Receptor Status

Identification of Novel High-Frequency DNA Methylation Changes in Breast Cancer

Estrogen Receptor Expression Is Associated with DNA Repair Capacity in Breast Cancer

Differential Expression of the Insulin-Like Growth Factor Receptor among Early Breast Cancer Subtypes

Breast Feeding, Parity and Breast Cancer Subtypes in a Spanish Cohort

DNA Methylation Patterns Can Estimate Nonequivalent Outcomes of Breast Cancer with the Same Receptor Subtypes

Similar Documents

Cell-Type Specific DNA Methylation Patterns Define Human Breast Cellular Identity

Global DNA Methylation of Ischemic Stroke Subtypes

Tissue Specific DNA Methylation in Normal Human Breast Epithelium and in Breast Cancer

Array-Based DNA Methylation Profiling for Breast Cancer Subtype Discrimination

The Association of Low-To-Moderate Alcohol Consumption with Breast Cancer Subtypes Defined by Hormone Receptor Status

Identification of Novel High-Frequency DNA Methylation Changes in Breast Cancer

Estrogen Receptor Expression Is Associated with DNA Repair Capacity in Breast Cancer

Differential Expression of the Insulin-Like Growth Factor Receptor among Early Breast Cancer Subtypes

Breast Feeding, Parity and Breast Cancer Subtypes in a Spanish Cohort

DNA Methylation Patterns Can Estimate Nonequivalent Outcomes of Breast Cancer with the Same Receptor Subtypes