ArticleCancer reports (Hoboken, N.J.)2023
Construction and validation of an aging-related gene signature for prognosis prediction of patients with breast cancer.
Article in Cancer reports (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Identification of three T cell-related genes as diagnostic and prognostic biomarkers for triple-negative breast cancer and exploration of potential mechanisms.Frontiers in genetics · 2025Article
- Identification and experimental validation of prognostic genes related to cytochrome c in breast cancer.Frontiers in genetics · 2025Article
- PABPN1 functions as a predictive biomarker in colorectal carcinoma.Molecular biology reports · 2023Article
- Construction and validation of an aging-related gene signature for prognosis prediction of patients with breast cancer.Cancer reports (Hoboken, N.J.) · 2023Article
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4 authors.
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Abstract
backgroundBreast cancer (BC) is an aging-related disease. Aging-related genes (ARGs) participate in the initiation and development of lung and colon cancer, but the prognosis signature of ARGs in BC has not been clearly studied.
aimsThis study aimed to construct an ARGs signature to predict the prognosis of patients with breast cancer.
methodFirstly, the expression data of ARGs from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were collected. Then COX and least absolulute shrinkage and selection operator(LASSO) were performed to construct the ARGs prognostic signature. The correlation between the signature and immune cell infiltration, immunotherapeutic response and drug sensitivity were subsequently analysed. The TCGA nomogram was constructed by combining the signature with other clinical features, and was validated by using GEO database.
resultsAfter LASSO and COX regression analyses, a prognostic signature based on nine ARGs, namely, HSP90AA1, NFKB2, PLAU, PTK2, RECQL4, CLU, JAK2, MAP3K5, and S100B, was built by using the TCGA dataset. Moreover, this risk signature is closely related to immune cell infiltration, immunotherapeutic response, and responses to chemotherapy and targeted therapy. Subsequently, The calibration curve demonstrates that the nomogram agrees well with practical prediction results. The receiver operating characteristic curve and decision-making curve analysis demonstrate that ARG signature has the better prognosis diagnosis ability and clinical net benefits.
conclusionsTherefore, the proposed ARG prognosis signature is a new prognosis molecular marker of patients with BC, and it can provide good references to individual clinical therapy.
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