<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>17(1)</volume><submitter>Wang D</submitter><pubmed_abstract>Homologous recombination deficiency (HRD) commonly occurs in breast cancer, which is the second cause of cancer death in women with a high rate of relapse and poor outcomes. Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer. Thus, we aim to develop a prognostic signature based on HRD expecting to help improve outcomes in TNBC. The Cancer Genome Atlas (TCGA)-TNBC cohort was divided into the training set and the testing set randomly. Sixteen genes were filtered from the prognostic HRD-associated genes to establish a prognostic model in the training set. Patients were divided into high-risk and low-risk groups based on the median value of the risk score. Prognosis analysis showed that the high-risk group was associated with a worse prognosis in the training </pubmed_abstract><journal>Open medicine (Warsaw, Poland)</journal><pagination>882-896</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9096232</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A 16-gene signature associated with homologous recombination deficiency for prognosis prediction in patients with triple-negative breast cancer.</pubmed_title><pmcid>PMC9096232</pmcid><pubmed_authors>He Y</pubmed_authors><pubmed_authors>Zhao Q</pubmed_authors><pubmed_authors>Wang D</pubmed_authors><pubmed_authors>Huang H</pubmed_authors><pubmed_authors>Su W</pubmed_authors><pubmed_authors>Shi Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>A 16-gene signature associated with homologous recombination deficiency for prognosis prediction in patients with triple-negative breast cancer.</name><description>Homologous recombination deficiency (HRD) commonly occurs in breast cancer, which is the second cause of cancer death in women with a high rate of relapse and poor outcomes. Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer. Thus, we aim to develop a prognostic signature based on HRD expecting to help improve outcomes in TNBC. The Cancer Genome Atlas (TCGA)-TNBC cohort was divided into the training set and the testing set randomly. Sixteen genes were filtered from the prognostic HRD-associated genes to establish a prognostic model in the training set. Patients were divided into high-risk and low-risk groups based on the median value of the risk score. Prognosis analysis showed that the high-risk group was associated with a worse prognosis in the training </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-05T16:10:58.17Z</modification><creation>2025-02-19T02:26:16.849Z</creation></dates><accession>S-EPMC9096232</accession><cross_references><pubmed>35950033</pubmed><doi>10.1515/med-2022-0475</doi></cross_references></HashMap>