Epigenomic and Transcriptomic Characterization of Secondary Breast Cancers

Background Molecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures of breast cancer (BC) tumors from patients with any prior malignancy. Methods RNA-sequencing and genome-wide DNA methylation profiles from B...

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Published inAnnals of surgical oncology Vol. 25; no. 10; pp. 3082 - 3087
Main Authors Graff-Baker, Amanda N., Orozco, Javier I. J., Marzese, Diego M., Salomon, Matthew P., Hoon, Dave S. B., Goldfarb, Melanie
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.10.2018
Springer Nature B.V
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Abstract Background Molecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures of breast cancer (BC) tumors from patients with any prior malignancy. Methods RNA-sequencing and genome-wide DNA methylation profiles from BCs were generated in the Cancer Genome Atlas project. Patients with secondary breast cancer (SBC) were separated by histological subtype and matched to primary breast cancer controls to create two independent cohorts of invasive ductal (IDC, n  = 36) and invasive lobular (ILC, n  = 40) carcinoma. Differentially expressed genes, as well as differentially methylated genomic regions, were integrated to identify epigenetically regulated abnormal gene pathways in SBCs. Results Differentially expressed genes were identified in IDC SBCs ( n  = 727) and in ILC SBCs ( n  = 261; Wilcoxon’s test; P  < 0.05). In IDC SBCs, 105 genes were upregulated and hypomethylated, including an estrogen receptor gene, and 73 genes were downregulated and hypermethylated, including genes involved in antigen presentation and interferon response pathways ( HLA - E , IRF8 , and RELA ). In ILC SBCs, however, only 17 genes were synchronously hypomethylated and upregulated, whereas 46 genes hypermethylated and downregulated. Interestingly, the SBC gene expression signatures closely corresponded with each histological subtype with only 1.51% of genes overlapping between the two histological subtypes. Conclusions Differential gene expression and DNA methylation signatures are seen in both IDC and ILC SBCs, including genes that are relevant to tumor growth and proliferation. Differences in gene expression signatures corresponding with each histological subtype emphasize the importance of disease subtype-specific evaluations of molecular alterations.
AbstractList BackgroundMolecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures of breast cancer (BC) tumors from patients with any prior malignancy.MethodsRNA-sequencing and genome-wide DNA methylation profiles from BCs were generated in the Cancer Genome Atlas project. Patients with secondary breast cancer (SBC) were separated by histological subtype and matched to primary breast cancer controls to create two independent cohorts of invasive ductal (IDC, n = 36) and invasive lobular (ILC, n = 40) carcinoma. Differentially expressed genes, as well as differentially methylated genomic regions, were integrated to identify epigenetically regulated abnormal gene pathways in SBCs.ResultsDifferentially expressed genes were identified in IDC SBCs (n = 727) and in ILC SBCs (n = 261; Wilcoxon’s test; P < 0.05). In IDC SBCs, 105 genes were upregulated and hypomethylated, including an estrogen receptor gene, and 73 genes were downregulated and hypermethylated, including genes involved in antigen presentation and interferon response pathways (HLA-E, IRF8, and RELA). In ILC SBCs, however, only 17 genes were synchronously hypomethylated and upregulated, whereas 46 genes hypermethylated and downregulated. Interestingly, the SBC gene expression signatures closely corresponded with each histological subtype with only 1.51% of genes overlapping between the two histological subtypes.ConclusionsDifferential gene expression and DNA methylation signatures are seen in both IDC and ILC SBCs, including genes that are relevant to tumor growth and proliferation. Differences in gene expression signatures corresponding with each histological subtype emphasize the importance of disease subtype-specific evaluations of molecular alterations.
Background Molecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures of breast cancer (BC) tumors from patients with any prior malignancy. Methods RNA-sequencing and genome-wide DNA methylation profiles from BCs were generated in the Cancer Genome Atlas project. Patients with secondary breast cancer (SBC) were separated by histological subtype and matched to primary breast cancer controls to create two independent cohorts of invasive ductal (IDC, n  = 36) and invasive lobular (ILC, n  = 40) carcinoma. Differentially expressed genes, as well as differentially methylated genomic regions, were integrated to identify epigenetically regulated abnormal gene pathways in SBCs. Results Differentially expressed genes were identified in IDC SBCs ( n  = 727) and in ILC SBCs ( n  = 261; Wilcoxon’s test; P  < 0.05). In IDC SBCs, 105 genes were upregulated and hypomethylated, including an estrogen receptor gene, and 73 genes were downregulated and hypermethylated, including genes involved in antigen presentation and interferon response pathways ( HLA - E , IRF8 , and RELA ). In ILC SBCs, however, only 17 genes were synchronously hypomethylated and upregulated, whereas 46 genes hypermethylated and downregulated. Interestingly, the SBC gene expression signatures closely corresponded with each histological subtype with only 1.51% of genes overlapping between the two histological subtypes. Conclusions Differential gene expression and DNA methylation signatures are seen in both IDC and ILC SBCs, including genes that are relevant to tumor growth and proliferation. Differences in gene expression signatures corresponding with each histological subtype emphasize the importance of disease subtype-specific evaluations of molecular alterations.
Molecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures of breast cancer (BC) tumors from patients with any prior malignancy. RNA-sequencing and genome-wide DNA methylation profiles from BCs were generated in the Cancer Genome Atlas project. Patients with secondary breast cancer (SBC) were separated by histological subtype and matched to primary breast cancer controls to create two independent cohorts of invasive ductal (IDC, n = 36) and invasive lobular (ILC, n = 40) carcinoma. Differentially expressed genes, as well as differentially methylated genomic regions, were integrated to identify epigenetically regulated abnormal gene pathways in SBCs. Differentially expressed genes were identified in IDC SBCs (n = 727) and in ILC SBCs (n = 261; Wilcoxon's test; P < 0.05). In IDC SBCs, 105 genes were upregulated and hypomethylated, including an estrogen receptor gene, and 73 genes were downregulated and hypermethylated, including genes involved in antigen presentation and interferon response pathways (HLA-E, IRF8, and RELA). In ILC SBCs, however, only 17 genes were synchronously hypomethylated and upregulated, whereas 46 genes hypermethylated and downregulated. Interestingly, the SBC gene expression signatures closely corresponded with each histological subtype with only 1.51% of genes overlapping between the two histological subtypes. Differential gene expression and DNA methylation signatures are seen in both IDC and ILC SBCs, including genes that are relevant to tumor growth and proliferation. Differences in gene expression signatures corresponding with each histological subtype emphasize the importance of disease subtype-specific evaluations of molecular alterations.
Author Marzese, Diego M.
Salomon, Matthew P.
Graff-Baker, Amanda N.
Orozco, Javier I. J.
Goldfarb, Melanie
Hoon, Dave S. B.
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CitedBy_id crossref_primary_10_1186_s13058_021_01418_7
crossref_primary_10_1016_j_bios_2019_111386
crossref_primary_10_1002_1878_0261_12978
crossref_primary_10_3892_wasj_2019_10
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Issue 10
Keywords Interferon Response Pathway
The Cancer Genome Atlas (TCGA)
Duct Invasion (IDC)
Secondary Breast Cancer (SBC)
Epigenomic Signatures
Language English
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Springer Nature B.V
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SSID ssj0017305
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Snippet Background Molecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures...
Molecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures of breast...
BackgroundMolecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures...
BACKGROUNDMolecular alterations impact tumor prognosis and response to treatment. This study was designed to identify transcriptomic and epigenomic signatures...
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pubmed
springer
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SubjectTerms Aged
Antigen presentation
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Breast cancer
Breast Neoplasms - genetics
Breast Neoplasms - pathology
Breast Neoplasms - surgery
Carcinoma, Ductal, Breast - genetics
Carcinoma, Ductal, Breast - pathology
Carcinoma, Ductal, Breast - surgery
Carcinoma, Lobular - genetics
Carcinoma, Lobular - pathology
Carcinoma, Lobular - surgery
DNA Methylation
DNA sequencing
Epigenomics
Female
Follow-Up Studies
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Genome, Human
Genomes
Histocompatibility antigen HLA
Humans
Invasiveness
Malignancy
Medicine
Medicine & Public Health
Middle Aged
Neoplasms, Second Primary - genetics
Neoplasms, Second Primary - pathology
Neoplasms, Second Primary - surgery
Oncology
Patients
Prognosis
Receptor, ErbB-2 - metabolism
Receptors, Estrogen - metabolism
Receptors, Progesterone - metabolism
RelA protein
Ribonucleic acid
RNA
Surgery
Surgical Oncology
Transcriptome
Translational Research and Biomarkers
Tumors
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Title Epigenomic and Transcriptomic Characterization of Secondary Breast Cancers
URI https://link.springer.com/article/10.1245/s10434-018-6582-7
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