scholarly journals Aberrant DNA methylation impacts gene expression and prognosis in breast cancer subtypes

2015 ◽  
Vol 138 (1) ◽  
pp. 87-97 ◽  
Author(s):  
Balázs Győrffy ◽  
Giulia Bottai ◽  
Thomas Fleischer ◽  
Gyöngyi Munkácsy ◽  
Jan Budczies ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Dna Methylation ◽  
Breast Cancer Subtypes ◽  
Cancer Subtypes ◽  
Aberrant Dna Methylation

243 Aberrant DNA methylation impacts gene expression and prognosis in breast cancer subtypes

2015 ◽  
Vol 51 ◽  
pp. S41
Author(s):  
B. Gyorffy ◽  
G. Bottai ◽  
T. Fleischer ◽  
G. Munkacsy ◽  
L. Paladini ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Dna Methylation ◽  
Breast Cancer Subtypes ◽  
Cancer Subtypes ◽  
Aberrant Dna Methylation

Epigenetic aspects of triple-negative in patients with breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1041-1041
Author(s):  
Joaquina Martínez-Galan ◽  
Sandra Rios ◽  
Juan Ramon Delgado ◽  
Blanca Torres-Torres ◽  
Jesus Lopez-Peñalver ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Dna Methylation ◽  
Triple Negative ◽  
Breast Cancer Subtype ◽  
Regulation Of Gene Expression ◽  
Breast Cancer Subtypes ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Luminal B

1041 Background: Identification of gene expression-based breast cancer subtypes is considered a critical means of prognostication. Genetic mutations along with epigenetic alterations contribute to gene-expression changes occurring in breast cancer. However, the reproducibility of differential DNA methylation discoveries for cancer and the relationship between DNA methylation and aberrant gene expression have not been systematically analysed. The present study was undertaken to dissect the breast cancer methylome and to deliver specific epigenotypes associated with particular breast cancer subtypes. Methods: By using Real Time QMSPCR SYBR green we analyzed DNA methylation in regulatory regions of 107 pts with breast cancer and analyzed association with prognostics factor in triple negative breast cancer and methylation promoter ESR1, APC, E-Cadherin, Rar B and 14-3-3 sigma. Results: We identified novel subtype-specific epigenotypes that clearly demonstrate the differences in the methylation profiles of basal-like and human epidermal growth factor 2 (HER2)-overexpressing tumors. Of the cases, 37pts (40%) were Luminal A (LA), 32pts (33%) Luminal B (LB), 14pts (15%) Triple-negative (TN), and 9pts (10%) HER2+. DNA hypermethylation was highly inversely correlated with the down-regulation of gene expression. Methylation of this panel of promoter was found more frequently in triple negative and HER2 phenotype. ESR1 was preferably associated with TN(80%) and HER2+(60%) subtype. With a median follow up of 6 years, we found worse overall survival (OS) with more frequent ESR1 methylation gene(p>0.05), Luminal A;ESR1 Methylation OS at 5 years 81% vs 93% when was ESR1 Unmethylation. Luminal B;ESR1 Methylation 86% SG at 5 years vs 92% in Unmethylation ESR1. Triple negative;ESR1 Methylation SG at 5 years 75% vs 80% in unmethylation ESR1. HER2;ESR1 Methylation SG at 5 years was 66.7% vs 75% in unmethylation ESR1. Conclusions: Our results provide evidence that well-defined DNA methylation profiles enable breast cancer subtype prediction and support the utilization of this biomarker for prognostication and therapeutic stratification of patients with breast cancer.

scholarly journals Glycan-related gene expression signatures in breast cancer subtypes; relation to survival

2015 ◽  
Vol 9 (4) ◽  
pp. 861-876 ◽  
Author(s):  
Ivan O. Potapenko ◽  
Torben Lüders ◽  
Hege G. Russnes ◽  
Åslaug Helland ◽  
Therese Sørlie ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Breast Cancer Subtypes ◽  
Related Gene ◽  
Cancer Subtypes ◽  
Gene Expression Signatures

scholarly journals A DNA methylation-based definition of biologically distinct breast cancer subtypes

2014 ◽  
Vol 9 (3) ◽  
pp. 555-568 ◽  
Author(s):  
Olafur A. Stefansson ◽  
Sebastian Moran ◽  
Antonio Gomez ◽  
Sergi Sayols ◽  
Carlos Arribas-Jorba ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Breast Cancer Subtypes ◽  
Cancer Subtypes ◽  
Definition Of

scholarly journals Logic-based Analysis of Gene Expression Data Predicts Pathway Crosstalk between TNF, TGFB1 and EGF in Basal-like Breast Cancer

2019 ◽  
Author(s):  
Kyuri Jo ◽  
Beatriz Santos Buitrago ◽  
Minsu Kim ◽  
Sungmin Rhee ◽  
Carolyn Talcott ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Signaling Pathways ◽  
Expression Profiles ◽  
Formal System ◽  
Gene Expression Profiles ◽  
Breast Cancer Subtypes ◽  
Post Translational Modifications ◽  
Cancer Subtypes ◽  
Pathway Crosstalk

AbstractFor breast cancer, clinically important subtypes are well characterised at the molecular level in terms of gene expression profiles. In addition, signaling pathways in breast cancer have been extensively studied as therapeutic targets due to their roles in tumor growth and metastasis. However, it is challenging to put signaling pathways and gene expression profiles together to characterise biological mechanisms of breast cancer subtypes since many signaling events result from post-translational modifications, rather than gene expression differences.We present a logic-based approach to explain the differences in gene expression profiles among breast cancer subtypes using Pathway Logic and transcriptional network information. Pathway Logic is a rewriting-logic-based formal system for modeling biological pathways including post-translational modifications. Proposed method demonstrated its utility by constructing subtype-specific path from key receptors (TNFR, TGFBR1 and EGFR) to key transcription factor (TF) regulators (RELA, ATF2, SMAD3 and ELK1) and identifying potential pathway crosstalk via TFs in basal-specific paths, which could provide a novel insight on aggressive breast cancer subtypes.AvailabilityAnalysis result is available at http://epigenomics.snu.ac.kr/PL/

Gene expression in 16q is associated with survival and differs between Sørlie breast cancer subtypes

2007 ◽  
Vol 46 (1) ◽  
pp. 87-97 ◽  
Author(s):  
Kristian Wennmalm ◽  
Stefano Calza ◽  
Alexander Ploner ◽  
Per Hall ◽  
Judith Bjöhle ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Breast Cancer Subtypes ◽  
Cancer Subtypes
Sign in / Sign up

Export Citation Format

Share Document