{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["17(1)"],"submitter":["Wang D"],"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 "],"journal":["Open medicine (Warsaw, Poland)"],"pagination":["882-896"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9096232"],"repository":["biostudies-literature"],"pubmed_title":["A 16-gene signature associated with homologous recombination deficiency for prognosis prediction in patients with triple-negative breast cancer."],"pmcid":["PMC9096232"],"pubmed_authors":["He Y","Zhao Q","Wang D","Huang H","Su W","Shi Y"],"additional_accession":[]},"is_claimable":false,"name":"A 16-gene signature associated with homologous recombination deficiency for prognosis prediction in patients with triple-negative breast cancer.","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 ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-05T16:10:58.17Z","creation":"2025-02-19T02:26:16.849Z"},"accession":"S-EPMC9096232","cross_references":{"pubmed":["35950033"],"doi":["10.1515/med-2022-0475"]}}