scholarly journals Gene Expression Differences between Ductal Carcinoma in Situ with and without Progression to Invasive Breast Cancer

2017 ◽  
Vol 187 (7) ◽  
pp. 1648-1655 ◽  
Author(s):  
Shusma C. Doebar ◽  
Anieta M. Sieuwerts ◽  
Vanja de Weerd ◽  
Hans Stoop ◽  
John W.M. Martens ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Ductal Carcinoma In Situ ◽  
Invasive Breast Cancer ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma

scholarly journals Epithelial cells captured from ductal carcinoma in situ reveal a gene expression signature associated with progression to invasive breast cancer

Oncotarget ◽  
2016 ◽  
Vol 7 (46) ◽  
pp. 75672-75684 ◽  
Author(s):  
Eliana Vanina Elias ◽  
Nadia Pereira de Castro ◽  
Paulo Henrique Baldan Pineda ◽  
Carolina Sens Abuázar ◽  
Cynthia Aparecida Bueno de Toledo Osorio ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Epithelial Cells ◽  
Ductal Carcinoma In Situ ◽  
Invasive Breast Cancer ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Gene Expression Signature ◽  
Expression Signature

scholarly journals DUCTAL CARCINOMA IN SITU AND INVASIVE BREAST CANCER-BASED DIFFERENTIAL GENE EXPRESSION STUDY FOR THERAPEUTIC DEVELOPMENT

2016 ◽  
Vol 9 (9) ◽  
pp. 48
Author(s):  
Harshitha Gopisetty Ramachandra ◽  
Seethalakshmi Sakthivel ◽  
Inamul Hasan Madar ◽  
Iftikhar Aslam Tayubi ◽  
Skm Habeeb
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Gene Expression Profiling ◽  
Ductal Carcinoma In Situ ◽  
Invasive Breast Cancer ◽  
Expression Profiling ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Differential Gene

ABSTRACTObjective: Breast cancer is the second most common cancer in women globally. Multiple inherited mutations in genes are predominantly associatedwith breast cancer. The gene expression profiling of breast tumors generated by DNA microarray analysis provides molecular phenotyping thatdetermines and characterizes the classifications of these tumors.Methods: In this work, we used gene expression profiling of breast cancer samples from Gene Expression Omnibus (GEO) database. The datasetGSE41194, retrieved from GEO, was used to investigate differential gene expression in ductal carcinoma in situ (DCIS) and invasive breast cancer (IBC).The dataset contains 26 DCIS and 24 IBC samples. The data were analyzed in R and Bioconductor. To normalize the data Robust Multiarray Average(RMA) method was applied, limma software was used to identify the differentially expressed genes (DEGs) in DCIS and IBC; an adjusted p value ≤0.05was used to filter differentially expressed probe sets, and a fold change (FC) ≥ 2 to identify upregulated and ≤−2 for downregulated genes. The DEGsretrieved were clustered and annotated using Database for Annotation, Visualization and Integrated Discovery (DAVID) Bioinformatics Resourceswith an EASE score ≤0.1 and count 2.Results: The analysis obtained 72 DEGs with a p≤0.05. The FC≥2 identified 38 upregulated probesets and FC≤−2 identified 34 downregulated probesets. The up and downregulated genes obtained in various comparisons were characterized based on gene ontology (GO) and pathway analyses inDAVID, which retrieved six genes that had principal pathways targeting breast cancer.Conclusion: Identification of these genes and pathways enhances the knowledge and progression of DCIS to IBC; paving a novel way for developingnew therapies for treating patients with breast cancer.Keywords: Molecular phenotyping, Gene Expression, Ductal carcinoma in situ, Invasive breast cancer.

Progression of ductal carcinoma in situ to invasive breast cancer is associated with gene expression programs of EMT and myoepithelia

2011 ◽  
Vol 133 (3) ◽  
pp. 1009-1024 ◽  
Author(s):  
Erik S. Knudsen ◽  
Adam Ertel ◽  
Elai Davicioni ◽  
Jessica Kline ◽  
Gordon F. Schwartz ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Ductal Carcinoma In Situ ◽  
Invasive Breast Cancer ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma
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