<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bao X</submitter><funding>China Sponsorship Council</funding><pagination>380</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6889649</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Breast cancer is the most common malignancy in female patients worldwide. Because of its heterogeneity in terms of prognosis and therapeutic response, biomarkers with the potential to predict survival or assist in making treatment decisions in breast cancer patients are essential for an individualised therapy. Epigenetic alterations in the genome of the cancer cells, such as changes in DNA methylation pattern, could be a novel marker with an important role in the initiation and progression of breast cancer.&lt;h4>Method&lt;/h4>DNA methylation and RNA-seq datasets from The Cancer Genome Atlas (TCGA) were analysed using the Least Absolute Shrinkage and Selection Operator (LASSO) Cox model. Applying gene ontology (GO) and single sample gene set enrichment analysis (ssGSEA) an epi</pubmed_abstract><journal>Journal of translational medicine</journal><pubmed_title>A novel epigenetic signature for overall survival prediction in patients with breast cancer.</pubmed_title><pmcid>PMC6889649</pmcid><funding_grant_id>201608210186</funding_grant_id><pubmed_authors>Bao X</pubmed_authors><pubmed_authors>Rosemann M</pubmed_authors><pubmed_authors>Anastasov N</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>A novel epigenetic signature for overall survival prediction in patients with breast cancer.</name><description>&lt;h4>Background&lt;/h4>Breast cancer is the most common malignancy in female patients worldwide. Because of its heterogeneity in terms of prognosis and therapeutic response, biomarkers with the potential to predict survival or assist in making treatment decisions in breast cancer patients are essential for an individualised therapy. Epigenetic alterations in the genome of the cancer cells, such as changes in DNA methylation pattern, could be a novel marker with an important role in the initiation and progression of breast cancer.&lt;h4>Method&lt;/h4>DNA methylation and RNA-seq datasets from The Cancer Genome Atlas (TCGA) were analysed using the Least Absolute Shrinkage and Selection Operator (LASSO) Cox model. Applying gene ontology (GO) and single sample gene set enrichment analysis (ssGSEA) an epi</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Nov</publication><modification>2026-04-07T17:49:04.155Z</modification><creation>2020-05-21T22:23:43Z</creation></dates><accession>S-EPMC6889649</accession><cross_references><pubmed>31747912</pubmed><doi>10.1186/s12967-019-2126-6</doi></cross_references></HashMap>